The complex aetiology of cerebral palsy

Abstract

Cerebral palsy (CP) is the most prevalent, severe and costly motor disability of childhood. Consequently, CP is a public health priority for prevention, but its aetiology has proved complex. In this Review, we summarize the evidence for a decline in the birth prevalence of CP in some high-income nations, describe the epidemiological evidence for risk factors, such as preterm delivery and fetal growth restriction, genetics, pregnancy infection and other exposures, and discuss the success achieved so far in prevention through the use of magnesium sulfate in preterm labour and therapeutic hypothermia for birth-asphyxiated infants. We also consider the complexities of disentangling prenatal and perinatal influences, and of establishing subtypes of the disorder, with a view to accelerating the translation of evidence into the development of strategies for the prevention of CP.

Key points

  • Several high-income countries have reported a decline in the prevalence of cerebral palsy (CP); therapeutic hypothermia and magnesium sulfate for neuroprotection might have played a role, but other factors might be important.

  • The minimum age at which CP can be reliably diagnosed is controversial; evidence that early diagnosis and intervention improves motor outcome is sparse, but there are hints of benefits for cognitive outcomes.

  • No consensus exists about CP subtypes; the general term CP is important for public health and health services planning, but subtypes might have different aetiologies.

  • Gestational age and birthweight have been a major focus of CP investigators; to move forward, we must seek a deeper understanding of why these factors convey information about increased risk.

  • Preconception factors, including maternal obesity and age, should be considered because they can modify the relationships between CP and other factors that occur later in pregnancy.

  • Two-hit and multi-hit models that consider accumulation of risk factors can identify a synergistic increase in the risk of CP, but the time order and clinical relevance of the model components must be established.

Introduction

Cerebral palsy (CP) is the most common severe motor disability in children, and its severity is demonstrated by the fact that 40% of children with the condition cannot walk independently1,2, one-third have epilepsy3, up to one-third are non-verbal4,5 and about one-half have some degree of cognitive impairment2,6,7,8. Lifetime costs for a child with CP in the USA have been estimated at just under US$1 million per individual for health expenditures, educational needs, social services and lost economic opportunity9. The prevalence, severity and burden of CP make it a public health priority for prevention, and recognition that perinatal exposures and pregnancy complications are strongly linked to the risk of CP provides opportunities for prevention. However, the aetiology of CP has proved complex, making progress in its prevention difficult.

In this Review, we consider the epidemiological observations that provide evidence for the contribution of various developmental pathways to the pathogenesis of CP and for the substantial success in prevention to date. We also consider the complexities of disentangling prenatal and perinatal influences, with a view to accelerating the translation of evidence into clinical approaches to the prevention of CP.

The prevalence of cerebral palsy

In the 1940s, in the USA, two voluntary organizations, the National Society for Crippled Children (later named Easter Seals) and United Cerebral Palsy, initiated two population surveys to determine CP prevalence10,11. In Schenectady, New York, the prevalence was 5.9 cases per 1,000 births, whereas in Minneapolis, Minnesota, the prevalence was 1.8 per 1,000 live births10,11. These differences in prevalence indicated that defining CP, differentiating CP from other motor disabilities and determining the precise lower limits of severity that delineate cases were all problematic. This difficulty has been repeatedly wrestled with, and numerous international meetings on the definition and classification of CP have been held since 1958 (refs12,13,14), each leading to changes in the definition of the condition (Fig. 1).

The definition of cerebral palsy has changed several times since 1861, and the most recent definition was described in 2007.

Ongoing population surveillance for CP began in the Nordic countries15,16,17. In the second half of the past century, most reviews concluded that the prevalence of CP (generally expressed in relation to numbers of live births) in industrialized nations was fairly stable at 1.5–2.5 cases per 1,000 live births18,19, but with a modest increase in the last two decades of the 20th century owing largely to the greatly increased survival of very premature infants as a result of the success of the new technology19,20.

Estimates of CP prevalence in the 21st century, however, reveal a mixed picture. During the first decade of the century, estimates of CP prevalence were generally higher than in the 20th century in high-income countries (HICs). In the USA, prevalence estimates increased from 2 to as high as 3 cases per 1,000 live births between 2002 and 2012 (refs2,21,22,23,24,25), although the most recent of these surveys showed a slight decline to 2.9 per 1,000 8-year-old children in 2010 from 3.5 in the same surveillance area in 2006 (ref.26). However, studies in Australia3, Europe27,28,29, Canada30, Sweden31 and Japan32 have provided evidence for a declining prevalence of CP over time, mostly among low-birthweight and preterm infants (Table 1). In China, a decline from 1.6 to 1.25 cases per 1,000 children between 1999 and 2017 has been reported33,34, although ascertainment methods for these reports might have differed from the long-standing registers used in Australia and Europe.

Table 1 Trends in the prevalence of cerebral palsy overall and by birthweight or gestational age at delivery

The reported prevalence of CP in South Korea, Japan and India is 2–3 cases per 1,000 live births35,36,37, but figures greater than 3 cases per 1,000 live births in Taiwan38, Egypt39 and Uganda40 have been reported in the past few years. Some evidence suggests that rates in rural Africa are much higher41. New CP registers are emerging in Bangledesh42, Mexico43 and Jordan44, and hospital-based surveillance is being developed in Vietnam45.

Major aetiological factors

The first systematic clinical descriptions of CP were authored in the 1840s by the orthopaedic practitioner W. J. Little46,47. Little’s assertion that nearly all cases of what he called spastic rigidity of newborn children resulted from preterm birth or asphyxia at birth has left an enduring mark on subsequent thinking about the aetiology of CP. Sigmund Freud, in his first career as a child neurologist, cautioned against assuming that these two factors were fully causal48,49,50, but only in the latter half of the 20th century did research begin to illustrate the complex nature of these associations.

Nevertheless, Little’s insight that the perinatal period was important to the pathogenesis of CP has been supported by subsequent research. Therefore, in this section, we begin by considering the two factors identified by Little before reviewing factors related to preconception, pregnancy and the perinatal period. A comprehensive review of the risk factors for CP is available elsewhere51.

Birth complications

The obstetric literature from the 20th century is rife with examples of physical trauma in labour, sometimes exacerbated by instrumented deliveries or severe asphyxia in labour and delivery, all of which are capable of causing brain injuries in children that could lead to CP52. However, these events were not placed in an appropriate statistical context until the National Collaborative Perinatal Project (NCPP) study of ~50,000 children born during 1959–1966. The NCPP provided compelling evidence that clinical indicators of birth asphyxia (for example, fetal bradycardia, a low Apgar score and delayed time to first breath) occurred in only a minority of children who had CP53 and rarely led to CP when they occurred. Approximately 70% of children with CP had Apgar scores of ≥7 at 5 min after birth, and 95% of children with a normal birthweight and an Apgar score of 0–3 at 5 min after birth were free from major disability at early school age. These findings made it clear that birth asphyxia was not the dominant cause of CP that many clinicians and the lay public had assumed. A convenience survey of clinicians (largely paediatricians and obstetricians) shortly after the NCPP publications found that the average estimate of the risk of CP after a low Apgar score was 40%, eightfold higher than the 5% risk identified by the NCPP54,55.

The NCPP reinforced a finding noted by many students of birth asphyxia that the risk of CP is markedly elevated by the presence of abnormal neurological signs in the newborn period, most notably seizures, an inability to suck and breathing difficulties, which together indicate the syndrome of neonatal encephalopathy. This syndrome is often assumed to be the consequence of so-called hypoxic–ischaemic brain damage but can occur in the absence of markers of distress during labour and might even have a closer relationship to pre-labour factors56,57. Low Apgar scores, delayed onset of respiration, and seizures might be signs of birth asphyxia, but they are neurological findings themselves and can reflect brain damage that was present before birth. Ellenberg and Nelson have argued that the attribution of CP to birth asphyxia often results from the conflation of the consequences of factors that underlie both CP and birth asphyxia58,59, and point out that placental pathology and markers of infection often precede abnormal fetal heart patterns60 and low Apgar scores61.

Breech vaginal delivery is now avoided in most HICs owing to an assumed risk of birth asphyxia and later CP. The NCPP indeed found an elevated risk of CP for normal-weight babies who were in the breech position in utero, but the risk was the same whether the baby was born vaginally or by Caesarian section53,62. Breech position at term can reflect fetal abnormalities that preceded the onset of labour, including abnormal maternal thyroid function63, fetal growth restriction (FGR), oligohydramnios, gestational diabetes and fetal anomalies64. In randomized trials, mortality and short-term morbidity associated with breech presentation were reduced by Caesarian section, but long-term neurodevelopmental outcomes were unaffected65.

Gestational age and its correlates

Children born preterm account for one-third to one-half of CP diagnoses in HICs, although this proportion is much lower in low-income countries (LICs), where mortality of very preterm babies remains high40. The more preterm the newborn baby, the higher the risk of CP; the prevalence of CP reaches ~10% among infants who are born before 28 weeks of gestation, a prevalence that is ~50-fold higher than that among children born at term66,67.

Much research has been devoted to identifying the factors that place preterm infants at the greatest risk of CP; the numerous factors that have been studied include organ immaturity, lack of hormones and growth factors, metabolic factors and environmental toxins, infection and inflammation, physiological instability, medical interventions and pregnancy-related complications68. The most strongly associated indicators of CP risk in preterm infants are cranial ultrasonography observations in the first few weeks of life69. Lesions that indicate white matter injury — usually seen as echolucency and ventricular enlargement — are associated with a substantially increased risk of CP70, whereas isolated germinal matrix and ventricular haemorrhage, which are more common than white matter injury in preterm infants, are associated with a much lower risk of CP71,72,73,74,75,76.

Mechanical ventilation is widely used for children who are born very preterm and has been linked to CP70,77. The effects of mechanical ventilation on risk are confounded, as its use is an indicator of illness severity78, but animal models and observational studies have provided evidence that mechanical ventilation can cause systemic inflammation and lung damage and can alter blood gas levels in ways that might be detrimental to the perinatal brain79,80,81. Ventilator settings that produce hypocapnia have caused particular concern because they have been associated with brain damage at autopsy and with an increased risk of CP82,83,84,85,86,87,88. Antenatal administration of steroids during preterm labour to stimulate lung maturation has been associated with a reduced risk of CP89; by contrast, postnatal administration of steroids has raised concerns about an increase in CP90,91.

Intermittent or sustained systemic inflammation in which single92 or multiple inflammation-related proteins are persistently upregulated93 in the newborn period has been associated with a twofold to threefold increase in the risk of CP in babies born before 28 weeks of gestation. Studies of infants who are born at a weight ≤1,000 g yield similar evidence94. Insufficient blood levels of neurotrophic and/or angiogenic proteins also seem to influence the risk of CP and other neurodevelopmental disorders in some settings. For example, transient hypothyroxinaemia, a common complication of preterm delivery and a correlate of low birthweight95,96,97,98, occurs most often in the smallest and sickest of neonates96,97,98,99,100,101,102,103,104,105, and some observational studies have found that neonatal thyroid hormone deficits are linked to CP, behavioural problems and lower cognitive performance assessed at school age or in adolescence106,107,108,109,110, although other studies have not111,112. For example, a nationwide Dutch cohort study of infants born very preterm and/or with very low birthweights showed that relative hypothyroxinaemia (defined as values >1 s.d. below the mean) was associated with psychomotor developmental delay at 2 years corrected age109, neurological dysfunction assessed at the age of 5 years, and school failure at age 9 years113. A population-representative study of 1,105 children born with a weight of <2,000 g similarly found a fourfold increase in the risk of CP in newborn children with thyroid hormone levels >2.6 s.d. below the state norm compared with children with normal levels after adjustment for gestational age and multiple prenatal, perinatal and early and late neonatal variables110. In a similarly large study of infants born with very low birthweight, transient hypothyroxinaemia was associated with a twofold greater risk of white matter damage, a key antecedent of CP, after adjustment for gestational age and various measures of illness severity114. Whether the association between neonatal thyroid hormone deficits and CP is truly causal can be determined only with a randomized trial of thyroid hormone supplementation95,115.

Similarly, severe maternal iodine deficiency, which presumably leads to maternal and thus fetal hypothyroxinaemia, is associated with cognitive impairments and neurological deficits that resemble CP116. Iodine deficiency remains an important remediable cause of cognitive, neurosensory and motor impairment in several parts of the world117.

Preconception and early gestation

Genetics

Familial clustering of CP has been described: three studies since 2007 have indicated that the relative risk of CP for the sibling of a child with CP is four118, five119 and nine120, respectively. However, even these relative risks translate to a small absolute risk of CP of 1–2%. Copy number variants and mutations in single genes have been implicated in CP, but these findings are limited by small numbers of patients, genetic heterogeneity and a paucity of validation studies121. Whole-exome sequencing has revealed several potentially disease-causing gene variants, but functional and pathway studies are needed to validate these findings122.

Among the most studied genetic risk factors is APOE genotype. APOE encodes apolipoprotein E (ApoE), a lipid transport protein that is abundant in the brain; the APOE*ε4 allele has been associated with several neurological conditions, most notably Alzheimer disease. Studies of APOE genotype and the risk of CP have produced a variety of results. The APOE*ε4 allele has been associated with an elevated relative risk of CP in one Brazilian study123 and two studies conducted in the USA124,125, one of which also indicated an elevated risk among carriers of the APOE*ε2 allele. In a large, population-based study conducted in Norway, the APOE*ε4 allele was associated with an increased severity of CP126, whereas the APOE*ε2 or APOE*ε3 alleles and the s59007384 polymorphism in the TOMM40 gene (which is located on chromosome 19 close to APOE) were associated with reduced severity of CP127. However, in a second Brazilian study, an elevated risk of CP was associated only with the APOE*ε2 allele128, and a Norwegian family study identified APOE*ε3 to be the APOE allele most closely linked with CP129. Furthermore, three much larger studies — two conducted in Australia130,131 and one in China132 — found no association of any APOE allele with the risk of CP.

In a review published in 2009 (ref.133), an association between certain thrombophilia-related genes and CP caused by intrauterine strokes was suggested, but the literature on this area is sparse. A subsequent Australian study of candidate maternal or fetal thrombophilia-related genes that included 587 children with CP and their mothers and 1,154 healthy mother and child pairs identified no significant association of CP with these genes or any others studied after correction for multiple comparisons131. A nested case–control study conducted in California, USA, that was intended to replicate the previously identified links between several polymorphisms and CP in 127 affected children indicated an association of CP with the inducible nitric oxide synthase (iNOS)-231 T allele (which is involved in inflammation) and the APOE*ε4 allele. Both associations were statistically significant at the 0.04–0.05 level, but neither remained significant after adjustment for multiple comparisons125.

Multiple births

The prevalence of CP among twins is fourfold higher than among singletons134,135, and this excess is greater for higher-order multiples136,137. Nearly all of this excess risk is accounted for by the lower gestational age and lower birthweights associated with multiple births138,139, but the risk of CP is slightly higher even for full-term multiple births than for singletons born at term140,141,142. CP in one twin is associated with a greatly increased risk of CP in their co-twin: in one analysis of >20,000 twin sets in Norway, the twin of a child with CP had a 15-fold higher risk of CP than singletons120. Despite this elevated risk, fewer than 12% of twin sets are concordant for CP143. In the only two published series of identical twins, concordance for CP was 18–40%144,145.

Little is known about the factors that contribute to disparate susceptibility to CP between co-twins, although factors such as birth order, birthweight discordance, gender and chorionicity have been examined145,146,147,148. Monochorionic placentation is thought to convey a higher risk than dichorionic placentation149, as for the risk of congenital anomalies150, but information on zygosity and chorionicity is rarely known for children with CP, making this thesis difficult to investigate in most databases. Genetics could have a role, but other factors are more strongly associated; for example, the death of a co-twin in utero is associated with a substantially higher risk of CP in the surviving twin139,151,152.

Socio-economic status and correlates

Several studies have demonstrated that children who are socially disadvantaged are at higher risk of CP than those who are not138,139,153,154,155,156,157. For example, a higher prevalence of CP has been identified among African-American children than among other children138,139, but this observation was only partially explained by differences in level of maternal education and was largely a function of higher rates of preterm birth among socially disadvantaged women26,154. However, although multiple indicators of social disadvantage are associated with an increased risk of CP, these relationships seem to be moderated or mediated by differences in gestational age, birthweight and/or their correlates (for example, maternal obesity139,153,154, which is more common among women of lower socio-economic status158,159,160,161).

Analysis of a database of 6 million births in California, USA, revealed a dose–response relationship between pre-pregnancy obesity and CP: the relative risk of CP for the children of mothers classed as morbidly obese (2.7) was significantly higher than for those whose mothers were classed as obese (1.3)162. Large studies conducted in South Carolina (USA)163, Norway and Denmark164, and Sweden25 produced similar results. In the Swedish study, the association was limited to infants born at term. Putative mechanisms for this consistent finding include the excess inflammation seen in obesity165,166, placental dysfunction167,168 and thyroid hormone deficits169,170. However, maternal obesity does not seem to be associated with an increased risk of CP among children who are born before the 28th week of gestation171.

Pregnancy and congenital anomalies

Fetal growth restriction and maternal pre-eclampsia

Several studies have identified associations of CP with FGR in infants born at term or near term172,173,174, in infants born late or moderately preterm174 or in infants born at any gestational age175. The most definitive data come from the pooling of several national CP registers referred to as Surveillance of Cerebral Palsy in Europe, which revealed a significant fourfold to sixfold excess risk of CP among infants with FGR who were born at 32–42 weeks of gestation176. This finding is consistent with evidence from an Australian reconstructed population cohort study in which being small for gestational age and pregnancy-induced hypertension were associated with a twofold to ninefold increase in the risk of CP among all infants born after 27 weeks of gestation175.

FGR and maternal pre-eclampsia have both been associated with a reduced risk of CP in studies of children born with low birthweight177,178. However, birthweight is inextricably linked with gestational maturity, which is strongly associated with CP; therefore, studies of children with a birthweight below a specified threshold will include growth-restricted newborn babies from more mature gestational age strata, who have a lower risk of CP than infants of lower gestational ages179. Population-wide studies that include infants of all gestational ages do not reproduce this anomaly118,176,180.

This issue particularly affects studies of pre-eclampsia and CP. A study conducted in Australia showed that pre-eclampsia seems to provide a strong protective effect against CP in infants with low birthweights, but that no association with CP is observed in a sample defined by truncation of gestational age rather than of birthweight181. Confounding of FGR with gestational age seems to be reduced, if not completely avoided182, by selecting samples of preterm infants on the basis of truncated gestational age rather than truncated birthweight, a practice that is becoming more common183 but is still not universal184.

Infection

Maternal infections can lead to CP by transmission of pathogens to the fetus (even without a detectable maternal inflammatory response185) and by induction of persistent systemic inflammation that can sensitize the brain to subsequent insults186,187,188. Infections such as toxoplasmosis, rubella, cytomegalovirus and herpes simplex virus during pregnancy have been associated with increased risks of CP189,190,191, but these agents account for only a small fraction of CP cases in HICs. A subtype of CP that is associated with microcephaly has been reported as a result of perinatal mother-to-child chikungunya virus infection192. Zika virus infection in utero can damage the fetal brain193, but the magnitude of the contribution of Zika virus to CP is not yet understood. To date, seven case-series and one cohort study have examined whether children with clinical evidence of congenital Zika virus infection exhibit early indicators of motor dysfunction and epilepsy; in total, 54% of these children had seizures and all of them were judged to have abnormal motor development after follow-up periods of 3–12 months194.

The presence of several nonspecific indicators of infection, such as maternal fever195,196,197, maternal receipt of antibiotics198 and chorioamnionitis197,199,200, close to the time of delivery have been linked to an increased risk of CP. Infections earlier in pregnancy have often been associated with CP as well201,202,203,204, but not all studies agree205.

Birth defects

Two lines of evidence indicate that developmental aberrations similar to those that cause birth defects are involved in an appreciable fraction of CP cases. First, imaging studies of children with CP have shown that cerebral malformations, which are often unsuspected before CT or MRI, are not infrequent. One systematic review of the topic showed that such malformations were found in 10% of children with CP, mostly in children who were born at term206. Several different brain developmental defects seem capable of producing CP, especially neuronal migration disorders207, such as schizencephaly208 and polymicrogyria209. Interestingly, cytomegalovirus infection might underlie these neuronal migration disorders in some instances191,210. In general, the brain malformations involved seem to arise from a wide variety of genetic and environmental insults, are not rare in CP and can be congenital or acquired211. Intrauterine infections are associated with congenital anomalies; the most recently identified association is with Zika virus infection212,213. A detailed review of the development of these abnormalities is available elsewhere51.

The second line of evidence is the frequent presence of malformations outside the nervous system in children with CP. The NCPP showed that such malformations are observed threefold more often in children with CP than in healthy children, a finding that has been confirmed in subsequent studies214,215,216. Hypertensive disorders of pregnancy are associated with congenital malformations, in particular congenital heart defects217,218, as are indicators of thyroid dysfunction219,220,221; each of these factors are associated with FGR, CP and other neurodevelopmental disorders (possibly reflecting mitochondrial dysfunction222). A study conducted in Australia found that 53% of children with CP and severe FGR who were born at or near term had a major birth defect180.

Perinatal risk factors

Perinatal stroke

Perinatal stroke, which occurs between late gestation and 28 days after birth, might account for as much as half of hemiplegic CP in infants born at term223,224, whereas children with other CP subtypes often have multifocal or more diffuse injury. The most common form of perinatal stroke is thrombosis in the arterial distribution, usually in the middle cerebral artery, but periventricular venous infarction can contribute225,226. Most perinatal strokes are ischaemic, but haemorrhagic strokes can occur, sometimes as a complication of ischaemic injury227.

The causes of perinatal stroke are largely unknown. Perinatal stroke can be a complication of congenital heart disease228 and bacterial or viral meningitis229. Placental factors such as chorioamnionitis199, prolonged rupture of membranes230 and placental thrombosis231 have also been implicated. Pre-eclampsia and FGR are also risk factors223. Genetic predispositions to thrombophilia have been described above.

Kernicterus

Neonatal jaundice is the most common complication of the newborn period, usually caused by unconjugated hyperbilirubinaemia232. Unconjugated bilirubin crosses the blood–brain barrier in the first days of life and can damage several parts of the brain, particularly the basal ganglia and acoustic nuclei. The yellow staining seen at autopsy in this condition is the origin of the neuropathological term kernicterus. Symptoms of bilirubin-associated encephalopathy in newborn babies include lethargy, impaired tone, cyanosis, vomiting and absence of the suck reflex233. Chronic bilirubin encephalopathy manifests as aberrant processing disorders (particularly hearing impairment) and CP.

CP that results from kernicterus is typically choreoathetotic or dystonic, indicating damage to extrapyramidal structures233. In preterm infants, kernicterus can occur with bilirubin levels that would not pose risks to infants born at term. Kernicterus was once a common cause of CP234,235, but in HICs, the number of cases of CP associated with kernicterus has declined substantially owing to prevention and better management of newborn hyperbilirubinaemia. Kernicterus remains a notable cause of CP in LICs236,237.

Prevention of cerebral palsy

Magnesium sulfate

Case–control studies conducted in the 1990s suggested that magnesium sulfate (MgSO4), which is administered in pregnancy to treat pre-eclampsia and in preterm labour to slow contractions, reduces the risk of CP in infants born preterm238,239,240. Modest support for this hypothesis was provided by some cohort studies240 but not others241,242. A concern in all such observational studies was confounding by indication78 — the possibility that recipients of MgSO4 were at an inherently lower risk of CP, given that maternal pre-eclampsia has been associated with a lower risk of CP in studies of infants with truncated birthweights178,243,244,245. However, the benefit of MgSO4 was clearly demonstrated by the BEAM trial, in which the risk of CP in infants born before 32 weeks of gestation and who were randomly assigned to receive MgSO4 during labour was nearly 40% lower than among infants of the same gestational age who received placebo246,247. Two meta-analyses of randomized trials converge on an estimated 30% reduction in the risk of CP as a result of MgSO4 administration248,249,250. A similar reduction was reported in a meta-analysis of observational studies251.

Canadian, British, American and Australian obstetric societies and bodies have issued clinical practice guidelines that recommend MgSO4 for fetal neuroprotection in the setting of imminent preterm birth at <32–34 weeks of gestation252. Implementation of these guidelines might be a contributor to the reduction in CP prevalence among children who have low birthweights in many HICs3. Nevertheless, MgSO4 can cause maternal adverse effects248, such as respiratory depression, hypotension and confusion, and questions remain about the optimal timing of administration253, dosage253,254 and duration255,256, and modifiers of therapeutic efficacy (for example, maternal obesity)257,258.

Therapeutic hypothermia

A series of randomized trials with consistent results have shown that lowering of body and/or head temperature by 2°C for 48 h, beginning in the first few hours after birth, can reduce the risk of and mortality from CP in children who are born after 36 weeks of gestation and who have hypoxic–ischaemic encephalopathy259,260. All trials enrolled infants with signs of encephalopathy and indicators of fetal and immediate neonatal distress that are thought to reflect asphyxia. Therapeutic hypothermia is now used internationally261,262 and has become the standard of care in many centres in HICs. Trials are underway to determine the safety and efficacy of cooling therapy in low-income and middle-income countries (LMICs)263 and in infants whose treatment was delayed beyond the first few hours. Whether head cooling would be effective in infants with neonatal encephalopathy that is not associated with evidence of hypoxia or ischaemia is an open question.

Among infants who are born at term or late preterm and who have moderate to severe encephalopathy, hypothermia improves survival and neurodevelopmental outcomes, including the development of CP, at 18 months of age257, but CP is not eliminated altogether by this treatment. Children with severe newborn encephalopathy remain at increased risk of severe neurodevelopmental impairment despite the treatment264. Preterm birth and comorbid exposure to clinical or histological chorioamnionitis (or the correlates of each) are associated with a reduced response to hypothermia265.

Attempts to combine cooling with adjunctive therapies to provide additional benefits are underway266,267. For example, 1,000 U/kg erythropoietin administered intravenously in three doses (immediately after birth, at 24 h and 1 week later) in conjunction with hypothermia is well tolerated and produces plasma concentrations that are neuroprotective in animals. However, a large efficacy trial is needed to determine whether this add-on therapy improves outcomes in infants undergoing hypothermia268.

Investigational therapies

Various other therapies for CP have been tested and are under investigation. Caffeine is one of the most commonly prescribed medications in neonatal intensive care units as a treatment for apnoea269. A Canadian multicentre trial of caffeine in premature infants with apnoeic episodes indicated a reduction in the risk of motor and cognitive impairment with the treatment. The finding was statistically significant at 18 months270 but not at 5 years271.

Melatonin treatment in combination with hypothermia has been compared with hypothermia alone in one small trial (n = 15 in each arm) in infants with birth asphyxia272. The results hinted that melatonin improved survival during 6 months of follow-up and lowered the risk of seizures and indicators of white matter injury assessed at 2 weeks after birth. A trial of melatonin in preterm birth before 28 weeks of gestation is ongoing273.

Erythropoietin has been studied in four randomized trials in infants born very preterm or who are very small. The treatment seemed to reduce the proportion of children with Bayley Mental Development Index scores <70 at follow-up, but the treatment did not affect the risk of CP274.

Finally, stem cell therapies for CP are also under investigation. These studies are not yet at a sufficiently advanced stage to discern the effects of the treatment on CP275,276, but evidence from small studies hints at benefits for some children277.

Early diagnosis and intervention

The age at which a CP diagnosis is validly, reliably and fully ascertained by ruling out transient or progressive motor problems is controversial. Long-standing evidence indicates that a proportion of motor problems detected before the age of 1 year (for example, developmental delay, coordination problems and transient dystonia) resolve by school age without intervention278,279,280,281,282 and that a small fraction of motor disability in children of school age is the result of progressive motor pathology (for example, in metabolic disorders283), neither of which fits the current model of CP. Clinical prediction models and neuroimaging have been used to diagnose CP before the age of 2 years, but further research is necessary.

Clinical prediction studies

Few studies have repeatedly assessed CP status over the first several years of childhood among the general population. Evidence from two studies suggests that a diagnosis of CP at or before a child’s first birthday is unreliable280,281. In the largest study to date, which included 37,000 children, 45% of those who were diagnosed with definite CP at their first birthday ‘outgrew’ their motor problems by the age of 7 years280, and fewer than 3% of infants who were thought to have probable CP at age 1 year had CP at age 7 years. It is important to distinguish between CP diagnosed at an early age solely on the basis of neurological findings and CP accompanied by clear evidence of a disability. Thus, a diagnosis made after ~2 years of age is more reliable284, particularly when the motor problems are disabling (for example, an inability to walk five steps unaided or a need for physical assistive devices). However, in a study of children who were born preterm and weighed <2,000 g at birth, diagnosis of non-disabling CP was not a stable diagnosis until after 6 years of age285. This instability of diagnosis at the milder end of CP probably explains why some, but not all, CP registers conduct regular clinical reassessments at the age of 5 years to ensure diagnostic accuracy286.

Claims that accurate identification of children who are at high risk of CP is possible at just a few months of age are increasing in the literature. However, clinical prediction studies have often assessed CP in combination with other disorders or used other proxies for a diagnosis of CP, such as an interim clinical diagnosis of a high risk of CP before a true diagnosis is confirmed287,288. A review published in 2017 concluded that CP could be diagnosed on the basis of the absence of so-called jittery movements in infancy287, but the conclusions were based largely on expert opinion, most of the reviewed studies defined CP in combination with other motor problems, and none included data beyond the age of 2 years (see the appendix in the review287). The use of various definitions of ‘high risk of CP’ has hampered direct comparisons between studies. For example, of 12 studies that focused on motor dysfunction (see a review of these studies288), the outcome assessed in 6 was CP ‘or other disorders’, and in 5 the clinical decision relied on clinical impressions, intelligence or development quotients; in only 1 of the 12 was CP assessed alone. In addition, the majority of these studies do not include follow-up of children at or beyond 2 years of age, and most are not population-based or geographically representative of the general population or a targeted high-risk group.

In some studies in Australia and Europe, use of the General Movements Assessment in high-risk patients has indicated a high sensitivity and specificity for the prediction of a high risk of CP. These findings have prompted the Australian investigators to recommend widespread adoption into clinical practice289. However, given that decisions about diagnostic tests should be made on the basis of patient benefits289, we feel that additional research is needed, as do others290. Indeed, although some evidence indicates that early detection and intervention can improve some cognitive outcomes291, the improvements observed in motor dysfunction are much more modest287,291, and the evidence for a benefit is limited by a dearth of high-quality trials292.

Neuroimaging studies

We have discussed the use of neuroimaging in detail in a previous review293, in which we concluded that neuroimaging is not required for diagnosis of CP because the disorder is based on clinical findings, and the principal contribution of imaging is to the understanding of CP aetiology and pathogenesis. We also concluded that imaging studies were less informative than they could be, largely because study designs were rarely based on generalizable samples.

Since this previous review, several population-based neuroimaging studies have provided evidence that the occurrence of white matter injury has declined and that of grey matter injury has increased, whereas the prevalence of malformations in children with CP remained about the same. However, the authors of a review of these studies294 concluded that a dearth of standardized protocols and terminology were probably responsible for the heterogeneity of these findings (for example, there was no minimum or standard age at assessment).

The well-designed Generation R study of a geographically representative sample from the Netherlands, published in 2017, highlighted a diverse array of research questions that can be addressed by merging neuroimaging with developmental neuroscience and epidemiology295; an example is an ongoing effort to develop growth curves of optimal brain development. Nevertheless, studies of selected populations continue to be more common, and these types of studies were considered in a 2018 systematic review of early MRI for detection of motor outcomes at term-corrected age in children born preterm296. This review identified a high sensitivity and specificity of MRI for detection of CP or other motor problems, but the findings were difficult to generalize because not all participants had CP, and few studies were of unselected, sequentially recruited, representative infants. Instead, most were carried out in tertiary centres with high-risk patients, and recruitment rates of eligible infants were as low as 17% in some settings. Consequently, further research is needed to establish the effect of sample composition297 and the clinical relevance of MRI in early identification of CP.

Complexities in cerebral palsy epidemiology

Accumulation and interaction of insults

CP can often be the result of combined insults, but not all insults are equally influential and some probably have context-specific effects; the importance of timing and co-occurrence of different insults is unclear, although several examples have been studied. The combination of antenatal inflammation with postnatal systemic inflammation is associated with an increased risk of CP in children born before 28 weeks of gestation298, as are combinations of postnatal systemic inflammation and high or low levels of proteins that are related to angiogenesis and thyroid dysfunction299,300. FGR and/or very preterm birth seem to make infants particularly susceptible to multiple-hit phenomena that involve white matter injury and its correlates because these infants tend to have more vigorous postnatal inflammatory responses than do other infants301,302,303. Chronic placental inflammation followed by acute fetal inflammation followed by neonatal illness is similarly associated with cerebral white matter injury in infants who are born before 32 weeks of gestation304.

Additional evidence that accumulation of insults is involved in CP comes from a population-based study of infants with birthweights <2 kg with risk factors associated with ventilator use. This study showed that the risk of CP increased incrementally with addition of three ventilatory risk factors: hyperoxia, hypocapnia and ventilation for longer than expected for gestational age. The presence of one ventilatory risk factor was associated with an 11% risk of CP, two risk factors were associated with a 35% risk and three risk factors were associated with a 57% risk88. In a study of over 200,000 pregnancies, pre-eclampsia, neonatal infection, presumed birth asphyxia and neonatal illness were cumulatively associated with an increased risk of CP213. Similarly, a study of nearly 6,000 infants with very low birthweights in Taiwan indicated a strong interaction between sepsis and postnatal hypoxic–ischaemic events. Infants with sepsis alone had a 10% risk of CP, but adding one, two, three or four events increased the risk of CP to 17%, 27%, 40% and 55%, respectively305.

Hidden from view

Although a small fraction of CP is caused by obvious postnatal events, such as meningitis or head trauma, at least 90% of the factors that predispose infants to CP in HICs are no longer operative and are often no longer detectable after the perinatal period. Furthermore, many prenatal causes are often hidden from view because the inflammatory stimuli that seem to contribute to preterm birth, the silent strokes and the hormonal changes operate under the cover of amnion and uterus. However, a firm diagnosis of CP cannot usually be made until the child’s nervous system is mature enough to display the motor deficits that describe CP, usually at about the age of 2 years. By the time a child is diagnosed with CP, the history of the pregnancy and the perinatal period can be reconstructed only from medical records and maternal recall, which are useful but have limitations (for example, recall bias and reliance on clinical notes). Prospective data collection can improve the precision of data about exposures, but to date, few prospective preconception or pregnancy cohort studies have included follow-up of children to school age or beyond to assess neurodevelopmental outcomes. Consequently, delivery and neonatal factors have received much consideration, partly because of the dearth of quality evidence about earlier antecedents of CP. This bias has important implications because pre-pregnancy and early pregnancy risk factors (such as body weight) and their correlates can influence the capacity for delivery-related and postnatal factors to provide information about the risk of CP (for example, maternal age)306.

One disorder or many?

The relationships between clinical entities that are used as diagnoses and established pathophysiological pathways vary greatly. Some disorders are defined by abnormalities at the molecular level, such as sickle cell anaemia, but many are defined by their clinical appearance307 and often represent the common end point of various pathophysiological changes. Use of such disease entities often continues despite recognition of their heterogeneity because the entity is useful in clinical management; for example, whether a stroke was ischaemic or thrombotic matters little for the rehabilitation of a patient.

As discussed above, the term CP includes entities that are apparently caused by multiple pathways, yet the single term persists. Some epidemiologists have referred to ‘cerebral palsies’308 and the current definition refers to a group of disorders to indicate the heterogeneity309,310, but this usage has not taken hold in clinical settings, largely because the traditional phenomenological entity and its observable subdivisions are clinically useful for prognosis and management. Novel classification schemes based on topography have not consistently improved reliability in describing CP subtypes311; therefore, the field has moved away from classification according to the underlying impairment and towards a focus on functioning312,313,314,315. What this trend means for aetiological research remains to be seen.

The temptation, which is consistent with the current emphasis on precision medicine, is to divide the condition into narrower subdivisions that are more likely to be aetiologically homogeneous. However, when a clinical entity is fairly uncommon, as is the case for CP, creating finer and finer subdivisions makes investigation of aetiology very difficult. Even in the collaborative perinatal project, which included 50,000 participants, analysis did not consider much beyond the diagnosis of CP itself; the only difference emphasized was that between children with birthweights above and below 2,500 g (refs53,316,317). Two initiatives could help to overcome this difficulty: one is the newly initiated integration of Danish and Norwegian birth cohorts (referred to as MOBAND)318, which aggregates the medical records from 200,000 well-studied pregnancies and births and links them to the national CP registers of those countries, and the other is the Global Pregnancy ‘CoLaboratory’319 (CoLab; see Related links), a network of investigators from multiple population-based register and cohort studies who seek to facilitate standardization of data collection instruments and study designs and to enable data sharing to solve complex questions about major pregnancy complications and their sequelae. However, no consensus has been reached on the kinds of subdivisions (for example, gestational age at birth, type of motor abnormality or distribution of affected limbs) that would lead to the greatest aetiological insight318.

Specificity is problematic for all symptom-based case definitions320, and mis-specification of heterogeneous syndromes as singular entities can mask important findings about aetiology321, including evidence of therapeutic benefits322. Subtypes of a syndrome can be established in three ways. The first is to demonstrate different risk profiles. The second is to establish that the underlying morbid anatomy or pathophysiology differs. The third is to demonstrate that a subset of a disorder can be prevented (as in the case of kernicteric brain damage prevented by control of bilirubin blood levels). In reality, none of these strategies alone will provide a definitive answer about subtypes of CP because some similarities and differences in the antecedents, neuroanatomy and efficacy of interventions are observed across subtypes.

Several lines of evidence indicate that environmental and maternal characteristics are differentially associated with different subtypes of CP. Some studies have provided evidence that social status323 and maternal body weight324 are associated with increased risk of hemiplegia, but not other CP subtypes. Consideration of maternal age also influences which factors are most strongly associated with increased risk of different types of CP306. Stratification of infants according to postnatal occurrence of persistent systemic inflammation seems to provide different information about the risk factors associated with quadriplegia299,300, but not other CP subtypes, among children who are born before the 28th week of gestation. The CP risk factor profiles for different subtypes among infants with FGR also differ from those for infants with normal growth325, especially for children with CP who have FGR and are born at term, among whom rates of congenital birth defects are very high180. Some evidence indicates that patterns of childhood growth differ according to CP subtype326. Finally, the antecedents of the severest forms of CP seem to differ from those of less severe motor disorders327, and in some studies the profile of comorbid neurodevelopmental disorders differs by CP subtype (for example, the co-occurrence of intellectual disability and epilepsy seems to be more likely to develop among children who develop hemiplegia than among children who develop other types of CP)328,329.

Despite this evidence, without agreement on reliable definitions of CP subtypes, the findings are difficult to interpret and hard to replicate across populations with different background prevalence of contributing factors. Integration of findings from hypothesis-driven clinical studies and preclinical studies is most likely to inform about the appropriate subdivision of neurodevelopmental syndromes that are rooted in pregnancy.

Future directions

Large public health interventions (for example, improved access to clean water, hygiene and other interventions that focus on common infections before, during and between pregnancies) combined with rigorous emphasis on hypothesis-driven data collection in LMICs could probably teach us a lot about CP aetiology. A similar focus on periconception modifiable risk factors that influence the early gestation milieu that contributes to increased risk of CP would be informative in LICs and HICs — for example, a focus on alleviating social disadvantage. Overall, there is a pressing need to understand how the environment influences brain development, how it affects placentation and later placental functioning while the brain grows, and why specific environmental factors seem to raise the risk of CP and precipitating pregnancy disorders.

Current knowledge of the pathogenesis of CP during embryogenesis and placentation rests largely on evidence from models in cell lines and embryos and on downstream placental histopathology and related clinical syndromes330,331,332. However, we do not know whether these methods represent in vivo pathogenesis or how to translate emerging preclinical information into population-level benefits. Maternal and fetal blood-based profiling and imaging techniques are much less informative about pregnancy disorders before the 15th gestational week333,334, which seems to be a key aetiological window333,335,336,337. Emerging technologies, such as trophoblast retrieval and isolation from the cervix338,339, might provide relevant information about early placental development and function in ongoing pregnancies, but large follow-up studies are needed to discern the relevance to CP and its correlates. Single biomarkers are unlikely to be very useful clinically for large sections of the general population, but molecular profiling to establish the timing and order of processes that disrupt physiological homeostasis during pregnancy might prompt better thinking about aetiology and prevention. For example, consideration of key concepts from physiology, such as homeostasis, regulated systems and redundancy, as major intellectual tools to understand aetiology might improve our capacity to formulate and test hypotheses340 (details of specific examples are available elsewere341,342,343).

Infection and other inflammation-inducing exposures before and after very preterm birth are associated with an increased risk of CP via complex pathways92,93,94,298,344. Some evidence suggests that the risk of CP and comorbid brain disorders is decreased by administration of exogenous proteins that reduce neuroinflammation, possibly by controlling the regulation of systemic inflammation and neuropoietin signalling116,345,346; however, meticulously designed, hypothesis-driven preclinical and clinical studies will be needed to translate these observations into population-wide benefits322,347.

We cannot overstate the importance of preterm delivery and FGR348, which are themselves heterogeneous syndromes349,350, in the CP risk profile, but large studies of infants born at term, which account for approximately half of all CP diagnoses, might enable easier identification of antecedents, in part because the number of indicators of different pathological processes increases as the gestational age at delivery decreases and, consequently, so does the complexity351,352,353. Population-based studies of pregnancies at all gestational ages will continue to be the most helpful. CP registers and emerging consortiums that focus on standardized data collection, analysis and sharing to study complex pregnancy disorders (for example, CoLab) are beginning to enable the kind of research necessary to examine these possibilities more closely354,355.

Conclusions

We know that the aetiological factors involved in most cases of CP operate between conception and a few weeks after birth, yet identifying preventable causes of CP has proved difficult. Several risk factors have been identified, but they overlap and interact with each other in ways that are not easy to dissect. Nevertheless, important to keep in mind is that the young 21st century has witnessed the development of two preventive measures for CP: MgSO4 treatment for mothers at risk of preterm delivery, and head and/or body cooling for infants born at term with neonatal encephalopathy.

The ongoing formation of large national databases of data from unselected pregnancies in combination with multidisciplinary collaboration to integrate these resources for the study of complex diseases in pregnancy gives hope for new discoveries; these data include real-time surveys of exposures in pregnant women, and biological specimens such as archived serum, urine and newborn blood spots. This information is invaluable when accompanied by follow-up information about the presence or absence of CP in the offspring, or when linked to records of CP. If the modest information about pregnancy that is currently available from maternal recall and medical records years later can be supplemented with data sources that provide clear information about exposures to infections, nutrients, environmental toxins, allergens and many other phenomena during pregnancy, our limited knowledge could give way to an era in which the widespread prevention of CP is a feasible goal.

References

  1. 1.

    Kirby, R. S. et al. Prevalence and functioning of children with cerebral palsy in four areas of the United States in 2006: a report from the Autism and Developmental Disabilities Monitoring Network. Res. Dev. Disabil. 32, 462–469 (2011).

    PubMed  Article  Google Scholar 

  2. 2.

    Christensen, D. et al. Prevalence of cerebral palsy, co-occurring autism spectrum disorders, and motor functioning – Autism and Developmental Disabilities Monitoring Network, USA, 2008. Dev. Med. Child Neurol. 56, 59–65 (2014).

    PubMed  Article  Google Scholar 

  3. 3.

    Reid, S. M. et al. Temporal trends in cerebral palsy by impairment severity and birth gestation. Dev. Med. Child Neurol. 58 (Suppl. 2), 25–35 (2016).

    PubMed  Article  Google Scholar 

  4. 4.

    Zhang, J. Y., Oskoui, M. & Shevell, M. A population-based study of communication impairment in cerebral palsy. J. Child Neurol. 30, 277–284 (2015).

    PubMed  Article  CAS  Google Scholar 

  5. 5.

    Mei, C. et al. Language outcomes of children with cerebral palsy aged 5 years and 6 years: a population-based study. Dev. Med. Child Neurol. 58, 605–611 (2016).

    PubMed  Article  Google Scholar 

  6. 6.

    Levy, S. E. et al. Autism spectrum disorder and co-occurring developmental, psychiatric, and medical conditions among children in multiple populations of the United States. J. Dev. Behav. Pediatr. 31, 267–275 (2010).

    PubMed  Article  Google Scholar 

  7. 7.

    Pakula, A. T., Van Naarden Braun, K. & Yeargin-Allsopp, M. Cerebral palsy: classification and epidemiology. Phys. Med. Rehabil. Clin. N. Am. 20, 425–452 (2009).

    PubMed  Article  Google Scholar 

  8. 8.

    Delobel-Ayoub, M. et al. Prevalence and characteristics of autism spectrum disorders in children with cerebral palsy. Dev. Med. Child Neurol. 59, 738–742 (2017).

    PubMed  Article  Google Scholar 

  9. 9.

    Kancherla, V., Amendah, D. D., Grosse, S. D., Yeargin-Allsopp, M. & Van Naarden Braun, K. Medical expenditures attributable to cerebral palsy and intellectual disability among Medicaid-enrolled children. Res. Dev. Disabil. 33, 832–840 (2012).

    PubMed  Article  Google Scholar 

  10. 10.

    Incidence of infantile cerebral palsy. Acta Pædiatr. 46, 12–21 (1957).

  11. 11.

    History of the study of cerebralpalsy. Acta Pædiatr. 46, 2–3 (1958).

  12. 12.

    Polani, P. 1. Classification of cerebral palsy: yesterday, and today. Cerebral Palsy Bull. 2, 36–39 (1959).

    Google Scholar 

  13. 13.

    Bax, M. et al. Proposed definition and classification of cerebral palsy, April 2005. Dev. Med. Child Neurol. 47, 571–576 (2005).

    PubMed  Article  Google Scholar 

  14. 14.

    Rosenbaum, P. et al. A report: the definition and classification of cerebral palsy April 2006. Dev. Med. Child Neurol. Suppl. 109, 8–14 (2007).

    PubMed  Google Scholar 

  15. 15.

    Andersen, B. Incidence of cerebral palsy in norway and some C. P. problems. Acta Paediatr. 44, 22–22 (1955).

    Article  Google Scholar 

  16. 16.

    Pharoah, P. O. Epidemiology of cerebral palsy: a review. J. R. Soc. Med. 74, 516–520 (1981).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  17. 17.

    Goldsmith, S. et al. An international survey of cerebral palsy registers and surveillance systems. Dev. Med. Child Neurol. 58 (Suppl. 2), 11–17 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  18. 18.

    Paneth, N. Etiologic factors in cerebral palsy. Pediatr. Ann. 15, 191 (1986).

    PubMed  Article  CAS  Google Scholar 

  19. 19.

    Paneth, N., Hong, T. & Korzeniewski, S. The descriptive epidemiology of cerebral palsy. Clin. Perinatol. 33, 251–267 (2006).

    PubMed  Article  Google Scholar 

  20. 20.

    Bhushan, V., Paneth, N. & Kiely, J. L. Impact of improved survival of very low birth weight infants on recent secular trends in the prevalence of cerebral palsy. Pediatrics 91, 1094–1100 (1993).

    PubMed  CAS  Google Scholar 

  21. 21.

    Yeargin-Allsopp, M. et al. Prevalence of cerebral palsy in 8-year-old children in three areas of the United States in 2002: a multisite collaboration. Pediatrics 121, 547–554 (2008).

    PubMed  Article  Google Scholar 

  22. 22.

    Arneson, C. L. et al. Prevalence of cerebral palsy: Autism and Developmental Disabilities Monitoring Network, three sites, United States, 2004. Disabil. Health J. 2, 45–48 (2009).

    PubMed  Article  Google Scholar 

  23. 23.

    Kirby, R. S. et al. Prevalence and functioning of children with cerebral palsy in four areas of the United States in 2006: a report from the Autism and Developmental Disabilities Monitoring Network. Res. Dev. Disabil. 32, 462–469 (2011).

    PubMed  Article  Google Scholar 

  24. 24.

    Van Naarden Braun, K. et al. Trends in the prevalence of autism spectrum disorder, cerebral palsy, hearing loss, intellectual disability, and vision impairment, metropolitan atlanta, 1991–2010. PLOS One 10, e0124120 (2015).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  25. 25.

    Maenner, M. J. et al. Prevalence of cerebral palsy and intellectual disability among children identified in two U. S. National Surveys, 2011–2013. Ann. Epidemiol. 26, 222–226 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    Durkin, M. S. et al. Prevalence of cerebral palsy among 8-year-old children in 2010 and preliminary evidence of trends in its relationship to low birthweight. Paediatr. Perinat. Epidemiol. 30, 496–510 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  27. 27.

    Sellier, E. et al. Decreasing prevalence in cerebral palsy: a multi-site European population-based study, 1980 to 2003. Dev. Med. Child Neurol. 58, 85–92 (2016).

    PubMed  Article  Google Scholar 

  28. 28.

    Andersen, G. L. et al. Cerebral palsy among children born moderately preterm or at moderately low birthweight between 1980 and 1998: a European register-based study. Dev. Med. Child Neurol. 53, 913–919 (2011).

    PubMed  Article  Google Scholar 

  29. 29.

    Glinianaia, S. V., Rankin, J., Colver, A. & North of England Collaborative Cerebral Palsy Survey. Cerebral palsy rates by birth weight, gestation and severity in North of England, 1991–2000 singleton births. Arch. Dis. Child 96, 180–185 (2011).

    PubMed  Article  Google Scholar 

  30. 30.

    Robertson, C. M. T. et al. Prevalence estimate of cerebral palsy in Northern Alberta: births, 2008–2010. Can. J. Neurol. Sci. 44, 366–374 (2017).

    PubMed  Article  Google Scholar 

  31. 31.

    Hollung, S. J., Vik, T., Lydersen, S., Bakken, I. J. & Andersen, G. L. Decreasing prevalence and severity of cerebral palsy in Norway among children born 1999 to 2010 concomitant with improvements in perinatal health. Eur. J. Paediatr. Neurol. https://doi.org/10.1016/j.ejpn.2018.05.001 (2018).

    PubMed  Article  Google Scholar 

  32. 32.

    Touyama, M., Touyama, J., Toyokawa, S. & Kobayashi, Y. Trends in the prevalence of cerebral palsy in children born between 1988 and 2007 in Okinawa, Japan. Brain Dev. 38, 792–799 (2016).

    PubMed  Article  Google Scholar 

  33. 33.

    He, P., Chen, G., Wang, Z., Guo, C. & Zheng, X. Children with motor impairment related to cerebral palsy: Prevalence, severity and concurrent impairments in China. J. Paediatr. Child Health 53, 480–484 (2017).

    PubMed  Article  Google Scholar 

  34. 34.

    Liu, J. M., Li, S., Lin, Q. & Li, Z. Prevalence of cerebral palsy in China. Int. J. Epidemiol. 28, 949–954 (1999).

    PubMed  Article  CAS  Google Scholar 

  35. 35.

    Toyokawa, S., Maeda, E. & Kobayashi, Y. Estimation of the number of children with cerebral palsy using nationwide health insurance claims data in Japan. Dev. Med. Child Neurol. 59, 317–321 (2017).

    PubMed  Article  Google Scholar 

  36. 36.

    Park, M. S. et al. Prevalence and lifetime healthcare cost of cerebral palsy in South Korea. Health Policy 100, 234–238 (2011).

    PubMed  Article  Google Scholar 

  37. 37.

    Gladstone, M. A review of the incidence and prevalence, types and aetiology of childhood cerebral palsy in resource-poor settings. Ann. Trop. Paediatr. 30, 181–196 (2010).

    PubMed  Article  CAS  Google Scholar 

  38. 38.

    Chang, M. J., Ma, H. I. & Lu, T. H. Estimating the prevalence of cerebral palsy in Taiwan: a comparison of different case definitions. Res. Dev. Disabil. 36C, 207–212 (2014).

    PubMed  Google Scholar 

  39. 39.

    El-Tallawy, H. N. et al. Cerebral palsy in Al-Quseir City, Egypt: prevalence, subtypes, and risk factors. Neuropsychiatr. Dis. Treat. 10, 1267–1272 (2014).

    PubMed  PubMed Central  Google Scholar 

  40. 40.

    Kakooza-Mwesige, A. et al. Prevalence of cerebral palsy in Uganda: a population-based study. Lancet. Global Health 5, e1275–e1282 (2017).

    PubMed  Article  Google Scholar 

  41. 41.

    Couper, J. Prevalence of childhood disability in rural KwaZulu-Natal. S. Afr. Med. J. 92, 549–552 (2002).

    PubMed  Google Scholar 

  42. 42.

    Khandaker, G. et al. Bangladesh Cerebral Palsy Register (BCPR): a pilot study to develop a national cerebral palsy (CP) register with surveillance of children for CP. BMC Neurol. 15, 173 (2015).

    PubMed  PubMed Central  Article  Google Scholar 

  43. 43.

    Delgado, M. R. The Mexican Academy for Cerebral Palsy and Neurodevelopmental Disorders: new kid on the block. Dev. Med. Child Neurol. 58, 109 (2016).

    PubMed  Article  Google Scholar 

  44. 44.

    Almasri, N. A., Saleh, M., Abu-Dahab, S., Malkawi, S. H. & Nordmark, E. Development of a cerebral palsy follow-up registry in Jordan (CPUP-Jordan). Child Care Health Dev. 44, 131–139 (2018).

    PubMed  Article  CAS  Google Scholar 

  45. 45.

    Khandaker, G. et al. Protocol for hospital based-surveillance of cerebral palsy (CP) in Hanoi using the Paediatric Active Enhanced Disease Surveillance mechanism (PAEDS-Vietnam): a study towards developing hospital-based disease surveillance in Vietnam. BMJ Open 7, e017742 (2017).

    PubMed  PubMed Central  Article  Google Scholar 

  46. 46.

    Little, W. J. The classic: hospital for the cure of deformities: course of lectures on the deformities of the human frame. 1843. Clin. Orthop. Relat. Res. 470, 1252–1256 (2012).

    Article  CAS  Google Scholar 

  47. 47.

    Little, W. J. in Transactions of the Obstetrical Society of London. 293–344 (Longmans, Green and Co, 1862).

  48. 48.

    Freud, S. Die Infantilen Cerebrallahmungen (KuK Hoflieferant, 1897).

  49. 49.

    Evans, P. R. Antecedents of infantile cerebral palsy. Arch. Dis. Child 23, 213–219 (1948).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  50. 50.

    Freud, S. Infantile cerebral paralysis (Univ. of Miami Press, 1968).

  51. 51.

    Dan, B., Rosenbloom, L. & Paneth, N. Cerebral palsy (Mac Keith Press, 2014).

  52. 52.

    Yannet, H. The etiology of congenital cerebral palsy. J. Pediatr. 24, 38–45 (1944).

    Article  Google Scholar 

  53. 53.

    Nelson, K. B. & Ellenberg, J. H. Antecedents of cerebral palsy. Multivariate analysis of risk. N. Engl. J. Med. 315, 81–86 (1986).

    PubMed  Article  CAS  Google Scholar 

  54. 54.

    Paneth, N. & Fox, H. E. The relationship of Apgar score to neurologic handicap: a survey of clinicians. Obstet. Gynecol. 61, 547–550 (1983).

    PubMed  CAS  Google Scholar 

  55. 55.

    Paneth, N. & Stark, R. I. Cerebral palsy and mental retardation in relation to indicators of perinatal asphyxia. An epidemiologic overview. Am. J. Obstet. Gynecol. 147, 960–966 (1983).

    PubMed  Article  CAS  Google Scholar 

  56. 56.

    Badawi, N. et al. Cerebral palsy following term newborn encephalopathy: a population-based study. Dev. Med. Child Neurol. 47, 293–298 (2005).

    PubMed  Article  Google Scholar 

  57. 57.

    Badawi, N. et al. Intrapartum risk factors for newborn encephalopathy: the Western Australian case-control study. BMJ 317, 1554–1558 (1998).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  58. 58.

    Ellenberg, J. H. & Nelson, K. B. The association of cerebral palsy with birth asphyxia: a definitional quagmire. Dev. Med. Child Neurol. 55, 210–216 (2013).

    PubMed  Article  Google Scholar 

  59. 59.

    Nelson, K. B., Sartwelle, T. P. & Rouse, D. J. Electronic fetal monitoring, cerebral palsy, and caesarean section: assumptions versus evidence. BMJ 355, i6405 (2016).

    PubMed  Article  Google Scholar 

  60. 60.

    Salafia, C. M., Mangam, H. E., Weigl, C. A., Foye, G. J. & Silberman, L. Abnormal fetal heart rate patterns and placental inflammation. Am. J. Obstet. Gynecol. 160, 140–147 (1989).

    PubMed  Article  CAS  Google Scholar 

  61. 61.

    Rouse, D. J. et al. The Maternal-Fetal Medicine Units cesarean registry: chorioamnionitis at term and its duration-relationship to outcomes. Am. J. Obstet. Gynecol. 191, 211–216 (2004).

    PubMed  Article  Google Scholar 

  62. 62.

    O’Callaghan, M. et al. Epidemiologic associations with cerebral palsy. Obstet. Gynecol. 118, 576–582 (2011).

    Article  Google Scholar 

  63. 63.

    Vissenberg, R. et al. Abnormal thyroid function parameters in the second trimester of pregnancy are associated with breech presentation at term: a nested cohort study. Eur. J. Obstet. Gynecol. Reprod. Biol. 199, 169–174 (2016).

    PubMed  Article  CAS  Google Scholar 

  64. 64.

    Macharey, G. et al. Breech presentation at term and associated obstetric risks factors-a nationwide population based cohort study. Arch. Gynecol. Obstet. 295, 833–838 (2017).

    PubMed  Article  Google Scholar 

  65. 65.

    Hofmeyr, G. J. & Hannah, M. E. Planned caesarean section for term breech delivery. Cochrane Database Syst. Rev. 7, CD000166 (2003).

    Google Scholar 

  66. 66.

    Himmelmann, K., Hagberg, G. & Uvebrant, P. The changing panorama of cerebral palsy in Sweden. X. Prevalence and origin in the birth-year period 1999–2002. Acta Paediatr. 99, 1337–1343 (2010).

    PubMed  Article  CAS  Google Scholar 

  67. 67.

    Schieve, L. A. et al. Population impact of preterm birth and low birth weight on developmental disabilities in US children. Ann. Epidemiol. 26, 267–274 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  68. 68.

    Dammann, O. & Leviton, A. Perinatal brain damage causation. Dev. Neurosci. 29, 280–288 (2007).

    PubMed  Article  CAS  Google Scholar 

  69. 69.

    Tran, U., Gray, P. H. & O’Callaghan, M. J. Neonatal antecedents for cerebral palsy in extremely preterm babies and interaction with maternal factors. Early Hum. Dev. 81, 555–561 (2005).

    PubMed  Article  Google Scholar 

  70. 70.

    Pinto-Martin, J. A. et al. Cranial ultrasound prediction of disabling and nondisabling cerebral palsy at age two in a low birth weight population. Pediatrics 95, 249–254 (1995).

    PubMed  CAS  Google Scholar 

  71. 71.

    Skovgaard, A. L. & Zachariassen, G. Cranial ultrasound findings in preterm infants predict the development of cerebral palsy. Dan. Med. J. 64, A5330 (2017).

    PubMed  Google Scholar 

  72. 72.

    Reubsaet, P. et al. The impact of low-grade germinal matrix-intraventricular hemorrhage on neurodevelopmental outcome of very preterm infants. Neonatology 112, 203–210 (2017).

    PubMed  Article  Google Scholar 

  73. 73.

    Radic, J. A., Vincer, M. & McNeely, P. D. Outcomes of intraventricular hemorrhage and posthemorrhagic hydrocephalus in a population-based cohort of very preterm infants born to residents of Nova Scotia from 1993 to 2010. J. Neurosurg. Pediatr. 15, 580–588 (2015).

    PubMed  Article  Google Scholar 

  74. 74.

    Mukerji, A., Shah, V. & Shah, P. S. Periventricular/intraventricular hemorrhage and neurodevelopmental outcomes: a meta-analysis. Pediatrics 136, 1132–1143 (2015).

    PubMed  Article  Google Scholar 

  75. 75.

    Sola-Visner, M. Prognostic significance of low-grade intraventricular hemorrhage in the current era of neonatology. JAMA Pediatr, 1–2 (2013).

  76. 76.

    Bolisetty, S. et al. Intraventricular hemorrhage and neurodevelopmental outcomes in extreme preterm infants. Pediatrics 133, 55–62 (2014).

    PubMed  Article  Google Scholar 

  77. 77.

    Tsai, W. H. et al. Association between mechanical ventilation and neurodevelopmental disorders in a nationwide cohort of extremely low birth weight infants. Res. Dev. Disabil. 35, 1544–1550 (2014).

    PubMed  Article  Google Scholar 

  78. 78.

    Bosco, J. L. et al. A most stubborn bias: no adjustment method fully resolves confounding by indication in observational studies. J. Clin. Epidemiol. 63, 64–74 (2010).

    PubMed  Article  Google Scholar 

  79. 79.

    Murase, M. & Ishida, A. Early hypocarbia of preterm infants: its relationship to periventricular leukomalacia and cerebral palsy, and its perinatal risk factors. Acta Paediatr. 94, 85–91 (2005).

    PubMed  Article  CAS  Google Scholar 

  80. 80.

    Graziani, L. J. et al. Mechanical ventilation in preterm infants: neurosonographic and developmental studies. Pediatrics 90, 515–522 (1992).

    PubMed  CAS  Google Scholar 

  81. 81.

    Leviton, A. et al. Early blood gas abnormalities and the preterm brain. Am. J. Epidemiol. 172, 907–916 (2010).

    PubMed  PubMed Central  Article  Google Scholar 

  82. 82.

    Okumura, A. et al. Hypocarbia in preterm infants with periventricular leukomalacia: the relation between hypocarbia and mechanical ventilation. Pediatrics 107, 469–475 (2001).

    PubMed  Article  CAS  Google Scholar 

  83. 83.

    Wiswell, T. E. et al. High-frequency jet ventilation in the early management of respiratory distress syndrome is associated with a greater risk for adverse outcomes. Pediatrics 98, 1035–1043 (1996).

    PubMed  CAS  Google Scholar 

  84. 84.

    Giannakopoulou, C. et al. Significance of hypocarbia in the development of periventricular leukomalacia in preterm infants. Pediatr. Int. 46, 268–273 (2004).

    Google Scholar 

  85. 85.

    Greisen, G. & Borch, K. White matter injury in the preterm neonate: the role of perfusion. Dev. Neurosci. 23, 209–212 (2001).

    PubMed  Article  CAS  Google Scholar 

  86. 86.

    Greisen, G. & Vannucci, R. C. Is periventricular leucomalacia a result of hypoxic-ischaemic injury? Hypocapnia and the preterm brain. Biol. Neonate 79, 194–200 (2001).

    PubMed  Article  CAS  Google Scholar 

  87. 87.

    Volpe, J. J. Neurobiology of periventricular leukomalacia in the premature infant. Pediatr. Res. 50, 553–562 (2001).

    PubMed  Article  CAS  Google Scholar 

  88. 88.

    Collins, M. P., Lorenz, J. M., Jetton, J. R. & Paneth, N. Hypocapnia and other ventilation-related risk factors for cerebral palsy in low birth weight infants. Pediatr. Res. 50, 712–719 (2001).

    PubMed  Article  CAS  Google Scholar 

  89. 89.

    Chawla, S. et al. Association of neurodevelopmental outcomes and neonatal morbidities of extremely premature infants with differential exposure to antenatal steroids. JAMA Pediatr. 170, 1164–1172 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  90. 90.

    Halliday, H. L., Ehrenkranz, R. A. & Doyle, L. W. Late (>7 days) postnatal corticosteroids for chronic lung disease in preterm infants. Cochrane Database Syst. Rev. 10, CD001145 (2009).

    Google Scholar 

  91. 91.

    Linsell, L., Malouf, R., Morris, J., Kurinczuk, J. J. & Marlow, N. Prognostic factors for cerebral palsy and motor impairment in children born very preterm or very low birthweight: a systematic review. Dev. Med. Child Neurol. 58, 554–569 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  92. 92.

    Kuban, K. C. et al. Systemic inflammation and cerebral palsy risk in extremely preterm infants. J. Child Neurol. 29, 1692–1698 (2014).

    PubMed  PubMed Central  Article  Google Scholar 

  93. 93.

    Kuban, K. C. et al. The breadth and type of systemic inflammation and the risk of adverse neurological outcomes in extremely low gestation newborns. Pediatr. Neurol. 52, 42–48 (2015).

    PubMed  Article  Google Scholar 

  94. 94.

    Carlo, W. A. et al. Cytokines and neurodevelopmental outcomes in extremely low birth weight infants. J. Pediatr. 159, 919–925.e3 (2011).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  95. 95.

    La Gamma, E. F., Korzeniewski, S. J., Ballabh, P. & Paneth, N. Transient Hypothyroxinemia of Prematurity. NeoReviews 17, e394–e402 (2016).

    Article  Google Scholar 

  96. 96.

    Shih, J. L. & Agus, M. S. Thyroid function in the critically ill newborn and child. Curr. Opin. Pediatr. 21, 536–540 (2009).

    PubMed  Article  Google Scholar 

  97. 97.

    Kaluarachchi, D. C., Colaizy, T. T., Pesce, L. M., Tansey, M. & Klein, J. M. Congenital hypothyroidism with delayed thyroid-stimulating hormone elevation in premature infants born at less than 30 weeks gestation. J. Perinatol. 37, 277–282 (2017).

    PubMed  Article  CAS  Google Scholar 

  98. 98.

    Cavarzere, P. et al. Congenital hypothyroidism with delayed TSH elevation in low-birth-weight infants: incidence, diagnosis and management. Eur. J. Endocrinol. 175, 395–402 (2016).

    PubMed  Article  CAS  Google Scholar 

  99. 99.

    Silva, M. H., Araujo, M. C., Diniz, E. M., Ceccon, M. E. & Carvalho, W. B. Nonthyroidal illnesses syndrome in full-term newborns with sepsis. Arch. Endocrinol. Metab. 59, 528–534 (2015).

    Article  Google Scholar 

  100. 100.

    Marks, S. D. Nonthyroidal illness syndrome in children. Endocrine 36, 355–367 (2009).

    Article  CAS  Google Scholar 

  101. 101.

    De Groot, L. J. Dangerous dogmas in medicine: the nonthyroidal illness syndrome. J. Clin. Endocrinol. Metab. 84, 151–164 (1999).

    PubMed  Article  Google Scholar 

  102. 102.

    McIver, B. & Gorman, C. A. Euthyroid sick syndrome: an overview. Thyroid 7, 125–132 (1997).

    PubMed  Article  CAS  Google Scholar 

  103. 103.

    Chowdhry, P., Auerbach, R., Scanlon, J. & Abbassi, V. The nature of hypothyroxinemia in sick preterm infants. Pediatr. Res. 15, 505–505 (1981).

    Article  Google Scholar 

  104. 104.

    Diamond, F. B., Parks, J. S., Tenore, A., Marino, J. M. & Bongiovanni, A. M. Hypothyroxinemia in sick and well preterm infants. Clin. Pediatr. 18, 559–561 (1979).

    Article  Google Scholar 

  105. 105.

    Cuestas, R. A., Lindall, A. & Engel, R. R. Low thyroid hormones and respiratory-distress syndrome of the newborn. Studies on cord blood. N. Engl. J. Med. 295, 297–302 (1976).

    PubMed  Article  CAS  Google Scholar 

  106. 106.

    Ares, S., Quero, J., Diez, J. & Morreale de Escobar, G. Neurodevelopment of preterm infants born at 28 to 36 weeks of gestational age: the role of hypothyroxinemia and long-term outcome at 4 years. J. Pediatr. Endocrinol. Metab. 24, 897–902 (2011).

    PubMed  Article  CAS  Google Scholar 

  107. 107.

    Hollanders, J. J. et al. Transient hypothyroxinemia of prematurity and problem behavior in young adulthood. Psychoneuroendocrinology 72, 40–46 (2016).

    PubMed  Article  CAS  Google Scholar 

  108. 108.

    Den Ouden, A. L., Kok, J. H., Verkerk, P. H., Brand, R. & Verloove-Vanhorick, S. P. The relation between neonatal thyroxine levels and neurodevelopmental outcome at age 5 and 9 years in a national cohort of very preterm and/or very low birth weight infants. Pediatr. Res. 39, 142–145 (1996).

    Article  Google Scholar 

  109. 109.

    Meijer, W. J., Verloovevanhorick, S. P., Brand, R. & Vandenbrande, J. L. Transient hypothyroxinemia associated with developmental delay in very preterm infants. Arch. Dis. Childhood 67, 944–947 (1992).

    Article  CAS  Google Scholar 

  110. 110.

    Reuss, M. L., Paneth, N., Pinto-Martin, J. A., Lorenz, J. M. & Susser, M. The relation of transient hypothyroxinemia in preterm infants to neurologic development at two years of age. N. Engl. J. Med. 334, 821–827 (1996).

    PubMed  Article  CAS  Google Scholar 

  111. 111.

    Hollanders, J. J. et al. No association between transient hypothyroxinemia of prematurity and neurodevelopmental outcome in young adulthood. J. Clin. Endocrinol. Metab. 100, 4648–4653 (2015).

    PubMed  Article  CAS  Google Scholar 

  112. 112.

    Trumpff, C. et al. Thyroid-stimulating hormone (TSH) concentration at birth in belgian neonates and cognitive development at preschool age. Nutrients 7, 9018–9032 (2015).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  113. 113.

    DenOuden, A. L., Kok, J. H., Verkerk, P. H., Brand, R. & VerlooveVanhorick, S. P. The relation between neonatal thyroxine levels and neurodevelopmental outcome at age 5 and 9 years in a national cohort of very preterm and/or very low birth weight infants. Pediatr. Res. 39, 142–145 (1996).

    Article  CAS  Google Scholar 

  114. 114.

    Leviton, A. et al. Hypothyroxinemia of prematurity and the risk of cerebral white matter damage. J. Pediatr. 134, 706–711 (1999).

    PubMed  Article  CAS  Google Scholar 

  115. 115.

    La Gamma, E. F. et al. Phase 1 trial of 4 thyroid hormone regimens for transient hypothyroxinemia in neonates of <28 weeks’ gestation. Pediatrics 124, e258–268 (2009).

    PubMed  PubMed Central  Article  Google Scholar 

  116. 116.

    Hong, T. & Paneth, N. Maternal and infant thyroid disorders and cerebral palsy. Semin. Perinatol. 32, 438–445 (2008).

    PubMed  Article  Google Scholar 

  117. 117.

    Rogan, W. J. et al. Iodine deficiency, pollutant chemicals, and the thyroid: new information on an old problem. Pediatrics 133, 1163–1166 (2014).

    PubMed  Article  Google Scholar 

  118. 118.

    O’Callaghan, M. E. et al. Epidemiologic associations with cerebral palsy. Obstet. Gynecol. 118, 576–582 (2011).

    PubMed  Article  Google Scholar 

  119. 119.

    Hemminki, K., Li, X., Sundquist, K. & Sundquist, J. High familial risks for cerebral palsy implicate partial heritable aetiology. Paediatr. Perinat. Epidemiol. 21, 235–241 (2007).

    PubMed  Article  Google Scholar 

  120. 120.

    Tollanes, M. C., Wilcox, A. J., Lie, R. T. & Moster, D. Familial risk of cerebral palsy: population based cohort study. BMJ 349, g4294 (2014).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  121. 121.

    Fahey, M. C., Maclennan, A. H., Kretzschmar, D., Gecz, J. & Kruer, M. C. The genetic basis of cerebral palsy. Dev. Med. Child Neurol. 59, 462–469 (2017).

    PubMed  Article  Google Scholar 

  122. 122.

    McMichael, G. et al. Whole-exome sequencing points to considerable genetic heterogeneity of cerebral palsy. Mol. Psychiatry 20, 176–182 (2015).

    PubMed  Article  CAS  Google Scholar 

  123. 123.

    Meirelles Kalil Pessoa de, B., Rodrigues, C. J., de Barros, T. E. & Bevilacqua, R. G. Presence of apolipoprotein E ε4 allele in cerebral palsy. J. Pediatr. Orthop. 20, 786–789 (2000).

    Article  Google Scholar 

  124. 124.

    Kuroda, M. M., Weck, M. E., Sarwark, J. F., Hamidullah, A. & Wainwright, M. S. Association of apolipoprotein E genotype and cerebral palsy in children. Pediatrics 119, 306–313 (2007).

    PubMed  Article  Google Scholar 

  125. 125.

    Wu, Y. W., Croen, L. A., Vanderwerf, A., Gelfand, A. A. & Torres, A. R. Candidate genes and risk for CP: a population-based study. Pediatr. Res. 70, 642–646 (2011).

    PubMed  PubMed Central  Article  Google Scholar 

  126. 126.

    Lien, E. et al. Apolipoprotein E polymorphisms and severity of cerebral palsy: a cross-sectional study in 255 children in Norway. Dev. Med. Child Neurol. 55, 372–377 (2013).

    PubMed  PubMed Central  Article  Google Scholar 

  127. 127.

    Lien, E. et al. Genes determining the severity of cerebral palsy: the role of single nucleotide polymorphisms on the amount and structure of apolipoprotein E. Acta Paediatr. 104, 701–706 (2015).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  128. 128.

    Braga, L. W. et al. Apolipoprotein E genotype and cerebral palsy. Dev. Med. Child Neurol. 52, 666–671 (2010).

    PubMed  Article  Google Scholar 

  129. 129.

    Stoknes, M. et al. Child apolipoprotein E gene variants and risk of cerebral palsy: estimation from case-parent triads. Eur. J. Paediatr. Neurol. 19, 286–291 (2015).

    PubMed  Article  Google Scholar 

  130. 130.

    McMichael, G. L. et al. Association between Apolipoprotein E genotype and cerebral palsy is not confirmed in a Caucasian population. Hum. Genet. 124, 411–416 (2008).

    PubMed  Article  CAS  Google Scholar 

  131. 131.

    O’Callaghan, M. E. et al. Fetal and maternal candidate single nucleotide polymorphism associations with cerebral palsy: a case-control study. Pediatrics 129, e414–e423 (2012).

    PubMed  Article  Google Scholar 

  132. 132.

    Xu, Y. et al. The association of apolipoprotein E gene polymorphisms with cerebral palsy in Chinese infants. Mol. Genet. Genomics 289, 411–416 (2014).

    PubMed  Article  CAS  Google Scholar 

  133. 133.

    O’Callaghan, M. E., MacLennan, A. H., Haan, E. A., Dekker, G. & South Australian Cerebral Palsy Research Group. The genomic basis of cerebral palsy: a HuGE systematic literature review. Hum. Genet. 126, 149–172 (2009).

    PubMed  Article  CAS  Google Scholar 

  134. 134.

    Vohr, B. R. et al. Maternal age, multiple birth, and extremely low birth weight infants. J. Pediatr. 154, 498–503.e2 (2009).

    PubMed  Article  Google Scholar 

  135. 135.

    Luu, T. M. & Vohr, B. Twinning on the brain: the effect on neurodevelopmental outcomes. Am. J. Med. Genet C Semin. Med. Genet. 151C, 142–147 (2009).

    Article  Google Scholar 

  136. 136.

    Yokoyama, Y., Shimizu, T. & Hayakawa, K. Prevalence of cerebral palsy in twins, triplets and quadruplets. Int. J. Epidemiol. 24, 943–948 (1995).

    PubMed  Article  CAS  Google Scholar 

  137. 137.

    Pharoah, P. O. & Cooke, T. Cerebral palsy and multiple births. Arch. Dis. Child Fetal Neonatal Ed. 75, F174–F177 (1996).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  138. 138.

    Topp, M. et al. Multiple birth and cerebral palsy in Europe: a multicenter study. Acta Obstet. Gynecol. Scand. 83, 548–553 (2004).

    PubMed  Article  Google Scholar 

  139. 139.

    Maenner, M. J. et al. Children with cerebral palsy: racial disparities in functional limitations. Epidemiology 23, 35–43 (2012).

    PubMed  Article  Google Scholar 

  140. 140.

    Wu, Y. W. et al. Racial, ethnic, and socioeconomic disparities in the prevalence of cerebral palsy. Pediatrics 127, e674–e681 (2011).

    PubMed  PubMed Central  Article  Google Scholar 

  141. 141.

    Petterson, B., Nelson, K. B., Watson, L. & Stanley, F. Twins, triplets, and cerebral palsy in births in Western Australia in the 1980s. BMJ 307, 1239–1243 (1993).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  142. 142.

    Lorenz, J. M. Neurodevelopmental outcomes of twins. Semin. Perinatol 36, 201–212 (2012).

    PubMed  Article  Google Scholar 

  143. 143.

    Scher, A. I. et al. The risk of mortality or cerebral palsy in twins: a collaborative population-based study. Pediatr. Res. 52, 671–681 (2002).

    PubMed  Article  Google Scholar 

  144. 144.

    Petterson, B., Stanley, F. & Henderson, D. Cerebral palsy in multiple births in Western Australia: genetic aspects. Am. J. Med. Genet. 37, 346–351 (1990).

    PubMed  Article  CAS  Google Scholar 

  145. 145.

    Steingass, K. J., Taylor, H. G., Wilson-Costello, D., Minich, N. & Hack, M. Discordance in neonatal risk factors and early childhood outcomes of very low birth weight (<1.5 kg) twins. J. Perinatol. 33, 388–393 (2013).

    PubMed  Article  CAS  Google Scholar 

  146. 146.

    Hack, K. E. et al. Long-term neurodevelopmental outcome of monochorionic and matched dichorionic twins. PLOS One 4, e6815 (2009).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  147. 147.

    Swamy, R. S. et al. Cognitive outcome in childhood of birth weight discordant monochorionic twins: the long-term effects of fetal growth restriction. Arch. Dis. Child Fetal Neonatal Ed. https://doi.org/10.1136/archdischild-2017-313691 (2018).

    Article  Google Scholar 

  148. 148.

    Halling, C. & Corcoran, J. D. Little and large: the effects of twin growth discordance. Arch. Dis. Child Fetal Neonatal Ed. https://doi.org/10.1136/archdischild-2017-314572 (2018).

    PubMed  Article  Google Scholar 

  149. 149.

    Pharoah, P. O. & Dundar, Y. Monozygotic twinning, cerebral palsy and congenital anomalies. Hum. Reprod. Update 15, 639–648 (2009).

    PubMed  Article  CAS  Google Scholar 

  150. 150.

    Glinianaia, S. V., Rankin, J. & Wright, C. Congenital anomalies in twins: a register-based study. Hum. Reprod. 23, 1306–1311 (2008).

    PubMed  Article  CAS  Google Scholar 

  151. 151.

    Pharoah, P. O. & Cooke, R. W. A hypothesis for the aetiology of spastic cerebral palsy — the vanishing twin. Dev. Med. Child Neurol. 39, 292–296 (1997).

    PubMed  Article  CAS  Google Scholar 

  152. 152.

    Grether, J. K., Nelson, K. B. & Cummins, S. K. Twinning and cerebral palsy: experience in four northern California counties, births 1983 through 1985. Pediatrics 92, 854–858 (1993).

    PubMed  CAS  Google Scholar 

  153. 153.

    Solaski, M., Majnemer, A. & Oskoui, M. Contribution of socio-economic status on the prevalence of cerebral palsy: a systematic search and review. Dev. Med. Child Neurol. 56, 1043–1051 (2014).

    PubMed  Article  Google Scholar 

  154. 154.

    Oskoui, M., Messerlian, C., Blair, A., Gamache, P. & Shevell, M. Variation in cerebral palsy profile by socio-economic status. Dev. Med. Child Neurol. 58, 160–166 (2016).

    PubMed  Article  Google Scholar 

  155. 155.

    Dolk, H. et al. Socio-economic inequalities in cerebral palsy prevalence in the United Kingdom: a register-based study. Paediatr. Perinat. Epidemiol. 24, 149–155 (2010).

    PubMed  Article  Google Scholar 

  156. 156.

    Hjern, A. & Thorngren-Jerneck, K. Perinatal complications and socio-economic differences in cerebral palsy in Sweden – a national cohort study. BMC Pediatr. 8, 49 (2008).

    PubMed  PubMed Central  Article  Google Scholar 

  157. 157.

    Tseng, S. H., Lee, J. Y., Chou, Y. L., Sheu, M. L. & Lee, Y. W. Association between socioeconomic status and cerebral palsy. PLOS One 13, e0191724 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  158. 158.

    Heslehurst, N. et al. Trends in maternal obesity incidence rates, demographic predictors, and health inequalities in 36,821 women over a 15-year period. BJOG 114, 187–194 (2007).

    PubMed  Article  CAS  Google Scholar 

  159. 159.

    Micklesfield, L. K. et al. Socio-cultural, environmental and behavioural determinants of obesity in black South African women. Cardiovascular J. Afr. 24, 369–375 (2013).

    Article  Google Scholar 

  160. 160.

    Sommer, C. et al. Ethnic differences in maternal dietary patterns are largely explained by socio-economic score and integration score: a population-based study. Food Nutr. Res. 57, 21164 (2013).

    Article  Google Scholar 

  161. 161.

    Mohsena, M., Goto, R. & Mascie-Taylor, C. N. Maternal nutritional status (as measured by height, weight and BMI) in Bangladesh: trends and socio-economic association over the period 1996 to 2007. Publ. Health Nutr. 19, 1438–1445 (2016).

    Article  Google Scholar 

  162. 162.

    Crisham Janik, M. D. et al. Maternal diagnosis of obesity and risk of cerebral palsy in the child. J. Pediatr. 163, 1307–1312 (2013).

    PubMed  Article  Google Scholar 

  163. 163.

    Pan, C., Deroche, C. B., Mann, J. R., McDermott, S. & Hardin, J. W. Is prepregnancy obesity associated with risk of cerebral palsy and epilepsy in children? J. Child Neurol. 29, NP196–NP201 (2014).

    PubMed  Article  Google Scholar 

  164. 164.

    Forthun, I. et al. Maternal prepregnancy BMI and risk of cerebral palsy in offspring. Pediatrics 138, e20160874 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  165. 165.

    Zhu, M. J., Du, M. & Ford, S. P. Cell Biology Symposium: impacts of maternal obesity on placental and gut inflammation and health. J. Anim. Sci. 92, 1840–1849 (2014).

    PubMed  Article  CAS  Google Scholar 

  166. 166.

    Huang, L. et al. Maternal prepregnancy obesity is associated with higher risk of placental pathological lesions. Placenta 35, 563–569 (2014).

    PubMed  Article  Google Scholar 

  167. 167.

    Bronson, S. L. & Bale, T. L. The placenta as a mediator of stress effects on neurodevelopmental reprogramming. Neuropsychopharmacology 41, 207–218 (2016).

    PubMed  Article  Google Scholar 

  168. 168.

    Myatt, L. & Maloyan, A. Obesity and placental function. Semin. Reprod. Med. 34, 42–49 (2016).

    PubMed  Article  CAS  Google Scholar 

  169. 169.

    Mannisto, T. et al. Early pregnancy reference intervals of thyroid hormone concentrations in a thyroid antibody-negative pregnant population. Thyroid 21, 291–298 (2011).

    PubMed  Article  CAS  Google Scholar 

  170. 170.

    Mosso, L. et al. Early pregnancy thyroid hormone reference ranges in Chilean women: the influence of body mass index. Clin. Endocrinol. 85, 942–948 (2016).

    Article  CAS  Google Scholar 

  171. 171.

    van der Burg, J. W. et al. Are extremely low gestational age newborns born to obese women at increased risk of cerebral palsy at 2 years? J. Child Neurol. 33, 216–224 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  172. 172.

    Ozturk, A. et al. Antenatal and delivery risk factors and prevalence of cerebral palsy in Duzce (Turkey). Brain Dev. 29, 39–42 (2007).

    PubMed  Article  CAS  Google Scholar 

  173. 173.

    Thorngren-Jerneck, K. & Herbst, A. Perinatal factors associated with cerebral palsy in children born in Sweden. Obstet. Gynecol. 108, 1499–1505 (2006).

    PubMed  Article  Google Scholar 

  174. 174.

    Zhao, M., Dai, H., Deng, Y. & Zhao, L. SGA as a risk factor for cerebral palsy in moderate to late preterm infants: a system review and meta-analysis. Sci. Rep. 6, 38853 (2016).

    Article  CAS  Google Scholar 

  175. 175.

    Blair, E., Watson, L. & Australian Cerebral Palsy Register Group. Cerebral palsy and perinatal mortality after pregnancy-induced hypertension across the gestational age spectrum: observations of a reconstructed total population cohort. Dev. Med. Child Neurol. 58 (Suppl. 2), 76–81 (2016).

    PubMed  Article  Google Scholar 

  176. 176.

    Jarvis, S. et al. Cerebral palsy and intrauterine growth in single births: European collaborative study. Lancet 362, 1106–1111 (2003).

    PubMed  Article  Google Scholar 

  177. 177.

    Grether, J. K., Nelson, K. B., Emery, E. S. 3rd & Cummins, S. K. Prenatal and perinatal factors and cerebral palsy in very low birth weight infants. J. Pediatr. 128, 407–414 (1996).

    PubMed  Article  CAS  Google Scholar 

  178. 178.

    Xiong, X., Saunders, L. D., Wang, F. L., Davidge, S. T. & Buekens, P. Preeclampsia and cerebral palsy in low-birth-weight and preterm infants: implications for the current “ischemic model” of preeclampsia. Hypertens. Pregnancy 20, 1–13 (2001).

    PubMed  CAS  Google Scholar 

  179. 179.

    Arnold, C. C., Kramer, M. S., Hobbs, C. A., Mclean, F. H. & Usher, R. H. Very low birth weight – a problematic cohort for epidemiologic studies of very small or immature neonates. Am. J. Epidemiol. 134, 604–613 (1991).

    PubMed  Article  CAS  Google Scholar 

  180. 180.

    Blair, E. M. & Nelson, K. B. Fetal growth restriction and risk of cerebral palsy in singletons born after at least 35 weeks’ gestation. Am. J. Obstet. Gynecol. 212, 520.e1–520.e7 (2015).

    Article  Google Scholar 

  181. 181.

    Blair, E. The undesirable consequences of controlling for birth weight in perinatal epidemiological studies. J. Epidemiol. Commun. Health 50, 559–563 (1996).

    Article  CAS  Google Scholar 

  182. 182.

    Kramer, M. S. Gestational age, birthweight, and their influence on neonatal outcome. Acta Paediatr. 104, 5–6 (2015).

    PubMed  Article  Google Scholar 

  183. 183.

    O’Shea, T. M. et al. The ELGAN study of the brain and related disorders in extremely low gestational age newborns. Early Hum. Dev. 85, 719–725 (2009).

    PubMed  Article  Google Scholar 

  184. 184.

    Tsimis, M. E. et al. Risk factors for periventricular white matter injury in very low birthweight neonates. Am. J. Obstet. Gynecol. 214, 380.e1–380.e6 (2016).

    Article  Google Scholar 

  185. 185.

    Leviton, A. et al. Microbiologic and histologic characteristics of the extremely preterm infant’s placenta predict white matter damage and later cerebral palsy. the ELGAN study. Pediatr. Res. 67, 95–101 (2010).

    PubMed  PubMed Central  Article  Google Scholar 

  186. 186.

    Dammann, O. Persistent neuro-inflammation in cerebral palsy: a therapeutic window of opportunity? Acta Paediatr. 96, 6–7 (2007).

    PubMed  Article  Google Scholar 

  187. 187.

    Dammann, O. Causality, mosaics, and the health sciences. Theor. Med. Bioeth. 37, 161–168 (2016).

    PubMed  Article  Google Scholar 

  188. 188.

    Dammann, O. & Leviton, A. Inflammatory brain damage in preterm newborns—dry numbers, wet lab, and causal inferences. Early Hum. Dev. 79, 1–15 (2004).

    PubMed  Article  Google Scholar 

  189. 189.

    Schendel, D. E. Infection in pregnancy and cerebral palsy. Journal of the American Medical Women’s Association 56, 105–108 (2001) (1972).

    Google Scholar 

  190. 190.

    Smithers-Sheedy, H. et al. Congenital cytomegalovirus among children with cerebral palsy. J. Pediatr. 181, 267–271 (2017).

    PubMed  Article  Google Scholar 

  191. 191.

    Smithers-Sheedy, H. et al. Congenital cytomegalovirus is associated with severe forms of cerebral palsy and female sex in a retrospective population-based study. Dev. Med. Child Neurol. 56, 846–852 (2014).

    PubMed  Article  Google Scholar 

  192. 192.

    Gerardin, P. et al. Neurocognitive outcome of children exposed to perinatal mother-to-child Chikungunya virus infection: the CHIMERE cohort study on Reunion Island. PLoS Negl. Trop. Dis. 8, e2996 (2014).

    PubMed  PubMed Central  Article  Google Scholar 

  193. 193.

    Meneses, J. D. A. et al. Lessons learned at the epicenter of Brazil’s congenital zika epidemic: evidence from 87 confirmed cases. Clin. Infect. Dis. 64, 1302–1308 (2017).

    PubMed  Article  Google Scholar 

  194. 194.

    Pessoa, A. et al. Motor abnormalities and epilepsy in infants and children with evidence of congenital Zika virus infection. Pediatrics 141, S167–S179 (2018).

    PubMed  Article  Google Scholar 

  195. 195.

    Streja, E. et al. Congenital cerebral palsy and prenatal exposure to self-reported maternal infections, fever, or smoking. Am. J. Obstet. Gynecol. 209, 332.e1–332.e10 (2013).

    Article  Google Scholar 

  196. 196.

    Abdullahi, H., Satti, M., Rayis, D. A., Imam, A. M. & Adam, I. Intra-partum fever and cerebral palsy in Khartoum, Sudan. BMC Res. Notes 6, 163 (2013).

    PubMed  PubMed Central  Article  Google Scholar 

  197. 197.

    Wu, Y. W. & Colford, J. M. Chorioamnionitis as a risk factor for cerebral palsy – a meta-analysis. JAMA 284, 1417–1424 (2000).

    PubMed  Article  CAS  Google Scholar 

  198. 198.

    Meeraus, W. H., Petersen, I. & Gilbert, R. Association between antibiotic prescribing in pregnancy and cerebral palsy or epilepsy in children born at term: a cohort study using the health improvement network. PLOS One 10, e0122034 (2015).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  199. 199.

    Wu, Y. W. et al. Chorioamnionitis and cerebral palsy in term and near-term infants. JAMA 290, 2677–2684 (2003).

    PubMed  Article  CAS  Google Scholar 

  200. 200.

    Wu, Y. W. Systematic review of chorioamnionitis and cerebral palsy. Mental Retard. Dev. Disabilities Res. Rev. 8, 25–29 (2002).

    Article  Google Scholar 

  201. 201.

    Bear, J. J. & Wu, Y. W. Maternal infections during pregnancy and cerebral palsy in the child. Pediatr. Neurol. 57, 74–79 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  202. 202.

    Miller, J. E. et al. Maternal infections during pregnancy and cerebral palsy: a population-based cohort study. Paediatr. Perinat. Epidemiol. 27, 542–552 (2013).

    PubMed  PubMed Central  Article  Google Scholar 

  203. 203.

    Polivka, B. J., Nickel, J. T. & Wilkins, J. R. 3rd. Urinary tract infection during pregnancy: a risk factor for cerebral palsy? J. Obstet. Gynecol. Neonatal Nurs. 26, 405–413 (1997).

    PubMed  Article  CAS  Google Scholar 

  204. 204.

    O’Shea, T. M., Klinepeter, K. L., Meis, P. J. & Dillard, R. G. Intrauterine infection and the risk of cerebral palsy in very low-birthweight infants. Paediatr. Perinat. Epidemiol. 12, 72–83 (1998).

    PubMed  Article  Google Scholar 

  205. 205.

    Brookfield, K. F., Osmundson, S. S., Caughey, A. B. & Snowden, J. M. Does infection during pregnancy outside of the time of delivery increase the risk of cerebral palsy? Am. J. Perinatol. 34, 223–228 (2017).

    PubMed  Google Scholar 

  206. 206.

    Korzeniewski, S. J., Birbeck, G., DeLano, M. C., Potchen, M. J. & Paneth, N. A. Systematic review of neuroimaging for cerebral palsy. J. Child Neurol. 23, 216–227 (2008).

    PubMed  Article  Google Scholar 

  207. 207.

    Tsutsui, Y., Nagahama, M. & Mizutani, A. Neuronal migration disorders in cerebral palsy. Neuropathology 19, 14–27 (1999).

    PubMed  Article  CAS  Google Scholar 

  208. 208.

    Kulak, W. et al. Schizencephaly as a cause of spastic cerebral palsy. Adv. Med. Sci. 56, 64–70 (2011).

    PubMed  Article  CAS  Google Scholar 

  209. 209.

    Clark, M., Carr, L., Reilly, S. & Neville, B. G. Worster-Drought syndrome, a mild tetraplegic perisylvian cerebral palsy. Review of 47 cases. Brain 123, 2160–2170 (2000).

    PubMed  Article  Google Scholar 

  210. 210.

    Bosnjak, V. M. et al. Malformations of cortical development in children with congenital cytomegalovirus infection – A study of nine children with proven congenital cytomegalovirus infection. Coll. Antropol. 35 (Suppl. 1), 229–234 (2011).

    PubMed  Google Scholar 

  211. 211.

    Edebol-Tysk, K. Epidemiology of spastic tetraplegic cerebral palsy in Sweden. I. Impairments and disabilities. Neuropediatrics 20, 41–45 (1989).

    PubMed  Article  CAS  Google Scholar 

  212. 212.

    Contreras-Capetillo, S. N. et al. Birth defects associated with congenital zika virus infection in mexico. Clin. Pediatr. 57, 927–936 (2017).

    Article  Google Scholar 

  213. 213.

    Zheng, X. Y. et al. Intrauterine infections and birth defects. Biomed. Environ. Sci. 17, 476–491 (2004).

    PubMed  Google Scholar 

  214. 214.

    McIntyre, S., Blair, E., Badawi, N., Keogh, J. & Nelson, K. B. Antecedents of cerebral palsy and perinatal death in term and late preterm singletons. Obstet. Gynecol. 122, 869–877 (2013).

    PubMed  Article  Google Scholar 

  215. 215.

    Pharoah, P. O. Prevalence and pathogenesis of congenital anomalies in cerebral palsy. Arch. Dis. Child Fetal Neonatal Ed. 92, F489–F493 (2007).

    PubMed  PubMed Central  Article  Google Scholar 

  216. 216.

    Rankin, J. et al. Congenital anomalies in children with cerebral palsy: a population-based record linkage study. Dev. Med. Child Neurol. 52, 345–351 (2010).

    PubMed  Article  Google Scholar 

  217. 217.

    Nattel, S. N. et al. Congenital heart disease and neurodevelopment: clinical manifestations, genetics, mechanisms, and implications. Can. J. Cardiol. 33, 1543–1555 (2017).

    PubMed  Article  Google Scholar 

  218. 218.

    Bellizzi, S. et al. Are hypertensive disorders in pregnancy associated with congenital malformations in offspring? Evidence from the WHO Multicountry cross sectional survey on maternal and newborn health. BMC Pregnancy Childbirth 16, 198 (2016).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  219. 219.

    Howley, M. M. et al. Thyroid medication use and birth defects in the National Birth Defects Prevention Study. Birth Defects Res. 109, 1471–1481 (2017).

    PubMed  Article  CAS  Google Scholar 

  220. 220.

    Hashmi, S. S. et al. The association between neonatal thyroxine and craniosynostosis, Texas, 2004–2007. Birth Defects Res. A Clin. Mol. Teratol. 94, 1004–1009 (2012).

    PubMed  Article  CAS  Google Scholar 

  221. 221.

    Stoll, C., Dott, B., Alembik, Y. & Koehl, C. Congenital anomalies associated with congenital hypothyroidism. Ann. Genet. 42, 17–20 (1999).

    PubMed  CAS  Google Scholar 

  222. 222.

    Pei, L. & Wallace, D. C. Mitochondrial etiology of neuropsychiatric disorders. Biol. Psychiatry 83, 722–730 (2017).

    PubMed  Article  CAS  Google Scholar 

  223. 223.

    Wu, Y. W. et al. Perinatal stroke in children with motor impairment: a population-based study. Pediatrics 114, 612–619 (2004).

    PubMed  Article  Google Scholar 

  224. 224.

    Uvebrant, P. Hemiplegic cerebral palsy. Aetiology and outcome. Acta Paediatr. Scand. Suppl. 345, 1–100 (1988).

    PubMed  Article  CAS  Google Scholar 

  225. 225.

    Wu, Y. W., Croen, L. A., Shah, S. J., Newman, T. B. & Najjar, D. V. Cerebral palsy in a term population: risk factors and neuroimaging findings. Pediatrics 118, 690–697 (2006).

    PubMed  Article  Google Scholar 

  226. 226.

    Kirton, A., Deveber, G., Pontigon, A. M., Macgregor, D. & Shroff, M. Presumed perinatal ischemic stroke: vascular classification predicts outcomes. Ann. Neurol. 63, 436–443 (2008).

    PubMed  Article  Google Scholar 

  227. 227.

    Cole, L. et al. Clinical characteristics, risk factors, and outcomes associated with neonatal hemorrhagic stroke: a population-based case-control study. JAMA Pediatr. 171, 230–238 (2017).

    PubMed  Article  Google Scholar 

  228. 228.

    Kirton, A. et al. Symptomatic neonatal arterial ischemic stroke: the International Pediatric Stroke Study. Pediatrics 128, e1402–1410 (2011).

    PubMed  Article  Google Scholar 

  229. 229.

    Fitzgerald, K. C. & Golomb, M. R. Neonatal arterial ischemic stroke and sinovenous thrombosis associated with meningitis. J. Child Neurol. 22, 818–822 (2007).

    PubMed  Article  Google Scholar 

  230. 230.

    Lee, J. et al. Maternal and infant characteristics associated with perinatal arterial stroke in the infant. JAMA 293, 723–729 (2005).

    PubMed  Article  CAS  Google Scholar 

  231. 231.

    Kraus, F. T. & Acheen, V. I. Fetal thrombotic vasculopathy in the placenta: cerebral thrombi and infarcts, coagulopathies, and cerebral palsy. Hum. Pathol. 30, 759–769 (1999).

    PubMed  Article  CAS  Google Scholar 

  232. 232.

    Bhutani, V. K., Vilms, R. J. & Hamerman-Johnson, L. Universal bilirubin screening for severe neonatal hyperbilirubinemia. J. Perinatol. 30 (Suppl.), S6–S15 (2010).

    PubMed  Article  Google Scholar 

  233. 233.

    Brites, D. & Bhutani, V. Pathways involving bilirubin and other brain-injuring agents in Cerebral Palsy: Science and Clinical Practice 131–150 (Mac Ke3ith Press, 2014).

  234. 234.

    Asher, P. & Schonell, F. E. Cerebral palsy. Lancet 257, 1201–1201 (1949).

    Article  Google Scholar 

  235. 235.

    Asher, P. & Schonell, F. E. A survey of 400 cases of cerebral palsy in childhood. Arch. Dis. Child 25, 360–379 (1950).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  236. 236.

    Bhutani, V. K. et al. Neonatal hyperbilirubinemia and Rhesus disease of the newborn: incidence and impairment estimates for 2010 at regional and global levels. Pediatr. Res. 74 (Suppl. 1), 86–100 (2013).

    PubMed  PubMed Central  Article  Google Scholar 

  237. 237.

    Olusanya, B. O. & Slusher, T. M. Infants at risk of significant hyperbilirubinemia in poorly-resourced countries: evidence from a scoping review. World J. Pediatrics 11, 293–299 (2015).

    Article  CAS  Google Scholar 

  238. 238.

    Kuban, K. C. et al. Maternal toxemia is associated with reduced incidence of germinal matrix hemorrhage in premature babies. J. Child Neurol. 7, 70–76 (1992).

    PubMed  Article  CAS  Google Scholar 

  239. 239.

    Nelson, K. B. & Grether, J. K. Can magnesium sulfate reduce the risk of cerebral palsy in very low birthweight infants. Pediatrics 95, 263–269 (1995).

    PubMed  CAS  Google Scholar 

  240. 240.

    Schendel, D. E., Berg, C. J., Yeargin-Allsopp, M., Boyle, C. A. & Decoufle, P. Prenatal magnesium sulfate exposure and the risk for cerebral palsy or mental retardation among very low-birth-weight children aged 3 to 5 years. JAMA 276, 1805–1810 (1996).

    PubMed  Article  CAS  Google Scholar 

  241. 241.

    Leviton, A. et al. Maternal receipt of magnesium sulfate does not seem to reduce the risk of neonatal white matter damage. Pediatrics 99, E2 (1997).

    PubMed  Article  CAS  Google Scholar 

  242. 242.

    Paneth, N., Jetton, J., Pinto-Martin, J. & Susser, M. Magnesium sulfate in labor and risk of neonatal brain lesions and cerebral palsy in low birth weight infants. The Neonatal Brain Hemorrhage Study Analysis Group. Pediatrics 99, E1 (1997).

    PubMed  Article  CAS  Google Scholar 

  243. 243.

    Schlapbach, L. J. et al. Impact of chorioamnionitis and preeclampsia on neurodevelopmental outcome in preterm infants below 32 weeks gestational age. Acta Paediatr. 99, 1504–1509 (2010).

    PubMed  Article  Google Scholar 

  244. 244.

    Gray, P. H., Jones, P. & O’Callaghan, M. J. Maternal antecedents for cerebral palsy in extremely preterm babies: a case-control study. Dev. Med. Child Neurol. 43, 580–585 (2001).

    PubMed  Article  CAS  Google Scholar 

  245. 245.

    Murphy, D. J., Sellers, S., Mackenzie, I. Z., Yudkin, P. L. & Johnson, A. M. Case-control study of antenatal and intrapartum risk factors for cerebral palsy in very preterm singleton babies. Lancet 346, 1449–1454 (1995).

    PubMed  Article  CAS  Google Scholar 

  246. 246.

    Rouse, D. J. & Hirtz, D. What we learned about the role of antenatal magnesium sulfate for the prevention of cerebral palsy. Semin. Perinatol. 40, 303–306 (2016).

    PubMed  Article  Google Scholar 

  247. 247.

    Rouse, D. J. et al. A randomized, controlled trial of magnesium sulfate for the prevention of cerebral palsy. N. Engl. J. Med. 359, 895–905 (2008).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  248. 248.

    Zeng, X., Xue, Y., Tian, Q., Sun, R. & An, R. Effects and safety of magnesium sulfate on neuroprotection: a meta-analysis based on PRISMA Guidelines. Medicine 95, e2451 (2016).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  249. 249.

    Conde-Agudelo, A. & Romero, R. Antenatal magnesium sulfate for the prevention of cerebral palsy in preterm infants less than 34 weeks’ gestation: a systematic review and metaanalysis. Am. J. Obstet. Gynecol. 200, 595–609 (2009).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  250. 250.

    Rouse, D. J. & Gibbins, K. J. Magnesium sulfate for cerebral palsy prevention. Semin. Perinatol. 37, 414–416 (2013).

    PubMed  Article  Google Scholar 

  251. 251.

    Wolf, H. T., Hegaard, H. K., Greisen, G., Huusom, L. & Hedegaard, M. Treatment with magnesium sulphate in pre-term birth: a systematic review and meta-analysis of observational studies. J. Obstetr. Gynaecol. 32, 135–140 (2012).

    Article  CAS  Google Scholar 

  252. 252.

    De Silva, D. A. et al. MAGnesium sulphate for fetal neuroprotection to prevent Cerebral Palsy (MAG-CP)-implementation of a national guideline in Canada. Implement. Sci. 13, 8 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  253. 253.

    Turitz, A. L., Too, G. T. & Gyamfi-Bannerman, C. Proximity of magnesium exposure to delivery and neonatal outcomes. Am. J. Obstet. Gynecol. 215, 508.e1–508.e6 (2016).

    Article  CAS  Google Scholar 

  254. 254.

    Ohhashi, M. et al. Magnesium sulphate and perinatal mortality and morbidity in very-low-birthweight infants born between 24 and 32 weeks of gestation in Japan. Eur. J. Obstet. Gynecol. Reprod. Biol. 201, 140–145 (2016).

    PubMed  Article  CAS  Google Scholar 

  255. 255.

    McPherson, J. A., Rouse, D. J., Grobman, W. A., Palatnik, A. & Stamilio, D. M. Association of duration of neuroprotective magnesium sulfate infusion with neonatal and maternal outcomes. Obstet. Gynecol. 124, 749–755 (2014).

    PubMed  Article  CAS  Google Scholar 

  256. 256.

    Gluckman, P. D. et al. Selective head cooling with mild systemic hypothermia after neonatal encephalopathy: multicentre randomised trial. Lancet 365, 663–670 (2005).

    PubMed  Article  Google Scholar 

  257. 257.

    Vilchez, G., Dai, J., Lagos, M. & Sokol, R. J. Maternal side effects and fetal neuroprotection according to body mass index after magnesium sulfate in a multicenter randomized controlled trial. J. Matern. Fetal Neonatal Med. 31, 178–183 (2018).

    PubMed  Article  CAS  Google Scholar 

  258. 258.

    McAdams, R. M. & Juul, S. E. Neonatal encephalopathy: update on therapeutic hypothermia and other novel therapeutics. Clin. Perinatol. 43, 485–500 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  259. 259.

    Jacobs, S. E. et al. Cooling for newborns with hypoxic ischaemic encephalopathy. Cochrane Database Syst. Rev. 1, CD003311 (2013).

    Google Scholar 

  260. 260.

    Leng, L. Hypothermia therapy after traumatic brain injury: a systematic review and meta-analysis. Turk. Neurosurg. https://doi.org/10.5137/1019-5149.JTN.19696-16.2 (2017).

    PubMed  Article  Google Scholar 

  261. 261.

    Chandrasekaran, M., Swamy, R., Ramji, S., Shankaran, S. & Thayyil, S. Therapeutic hypothermia for neonatal encephalopathy in Indian neonatal units: a survey of national practices. Indian Pediatr. 54, 969–970 (2017).

    PubMed  Article  Google Scholar 

  262. 262.

    Thayyil, S. et al. Hypothermia for encephalopathy in low and middle-income countries (HELIX): study protocol for a randomised controlled trial. Trials 18, 432 (2017).

    PubMed  PubMed Central  Article  Google Scholar 

  263. 263.

    Rao, R. et al. Safety and short-term outcomes of therapeutic hypothermia in preterm neonates 34–35 weeks gestational age with hypoxic-ischemic encephalopathy. J. Pediatr. 183, 37–42 (2017).

    PubMed  Article  Google Scholar 

  264. 264.

    Johnson, C. T., Burd, I., Raghunathan, R., Northington, F. J. & Graham, E. M. Perinatal inflammation/infection and its association with correction of metabolic acidosis in hypoxic-ischemic encephalopathy. J. Perinatol 36, 448–452 (2016).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  265. 265.

    Lee, J. K. et al. Optimizing cerebral autoregulation may decrease neonatal regional hypoxic-ischemic brain injury. Dev. Neurosci. 39, 248–256 (2017).

    PubMed  Article  CAS  Google Scholar 

  266. 266.

    Landucci, E. et al. Neuroprotective effects of topiramate and memantine in combination with hypothermia in hypoxic-ischemic brain injury in vitro and in vivo. Neurosci. Lett. 668, 103–107 (2018).

    PubMed  Article  CAS  Google Scholar 

  267. 267.

    Wu, Y. W. et al. Erythropoietin for neuroprotection in neonatal encephalopathy: safety and pharmacokinetics. Pediatrics 130, 683–691 (2012).

    PubMed  PubMed Central  Article  Google Scholar 

  268. 268.

    Clark, R. H., Bloom, B. T., Spitzer, A. R. & Gerstmann, D. R. Reported medication use in the neonatal intensive care unit: data from a large national data set. Pediatrics 117, 1979–1987 (2006).

    PubMed  Article  Google Scholar 

  269. 269.

    Schmidt, B. et al. Caffeine therapy for apnea of prematurity. N. Engl. J. Med. 354, 2112–2121 (2006).

    PubMed  Article  CAS  Google Scholar 

  270. 270.

    Schmidt, B. et al. Survival without disability to age 5 years after neonatal caffeine therapy for apnea of prematurity. JAMA 307, 275–282 (2012).

    PubMed  Article  CAS  Google Scholar 

  271. 271.

    Aly, H. et al. Melatonin use for neuroprotection in perinatal asphyxia: a randomized controlled pilot study. J. Perinatol 35, 186–191 (2015).

    PubMed  Article  CAS  Google Scholar 

  272. 272.

    Wilkinson, D., Shepherd, E. & Wallace, E. M. Melatonin for women in pregnancy for neuroprotection of the fetus. Cochrane Database Syst. Rev. 3, CD010527 (2016).

    PubMed  Google Scholar 

  273. 273.

    Fischer, H. S., Reibel, N. J., Buhrer, C. & Dame, C. Prophylactic early erythropoietin for neuroprotection in preterm infants: a meta-analysis. Pediatrics 139 (2017).

  274. 274.

    Kulak-Bejda, A., Kulak, P., Bejda, G., Krajewska-Kulak, E. & Kulak, W. Stem cells therapy in cerebral palsy: a systematic review. Brain Dev. 38, 699–705 (2016).

    PubMed  Article  Google Scholar 

  275. 275.

    Kiasatdolatabadi, A. et al. The role of stem cells in the treatment of cerebral palsy: a review. Mol. Neurobiol. 54, 4963–4972 (2017).

    PubMed  Article  CAS  Google Scholar 

  276. 276.

    Sun, J. M. et al. Effect of autologous cord blood infusion on motor function and brain connectivity in young children with cerebral palsy: a randomized, placebo-controlled trial. Stem Cells Transl Med. 6, 2071–2078 (2017).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  277. 277.

    Solomons, G., Holden, R. H. & Denhoff, E. The changing picture of cerebral dysfunction in early childhood. J. Pediatr. 63, 113–120 (1963).

    PubMed  Article  CAS  Google Scholar 

  278. 278.

    Drillien, C. M. Abnormal neurologic signs in the first year of life in low-birthweight infants: possible prognostic significance. Dev. Med. Child Neurol. 14, 575–584 (1972).

    PubMed  Article  CAS  Google Scholar 

  279. 279.

    Nelson, K. B. & Ellenberg, J. H. Children who “outgrew’ cerebral palsy. Pediatrics 69, 529–536 (1982).

    PubMed  CAS  Google Scholar 

  280. 280.

    Taudorf, K., Hansen, F. J., Melchior, J. C. & Pedersen, H. Spontaneous remission of cerebral palsy. Neuropediatrics 17, 19–22 (1986).

    PubMed  Article  CAS  Google Scholar 

  281. 281.

    Pedersen, S. J., Sommerfelt, K. & Markestad, T. Early motor development of premature infants with birthweight less than 2000 grams. Acta Paediatr. 89, 1456–1461 (2000).

    PubMed  Article  CAS  Google Scholar 

  282. 282.

    Leach, E. L., Shevell, M., Bowden, K., Stockler-Ipsiroglu, S. & van Karnebeek, C. D. Treatable inborn errors of metabolism presenting as cerebral palsy mimics: systematic literature review. Orphanet J. Rare Dis. 9, 197 (2014).

    PubMed  PubMed Central  Article  Google Scholar 

  283. 283.

    Shevell, M. I., Majnemer, A., Poulin, C. & Law, M. Stability of motor impairment in children with cerebral palsy. Dev. Med. Child Neurol. 50, 211–215 (2008).

    PubMed  Article  Google Scholar 

  284. 284.

    Korzeniewski, S. J. et al. Persistence of cerebral palsy diagnosis: assessment of a low-birth-weight cohort at ages 2, 6, and 9 years. J. Child Neurol. 31, 461–467 (2016).

    PubMed  Article  Google Scholar 

  285. 285.

    Zarrinkalam, R. et al. CP or not CP? A review of diagnoses in a cerebral palsy register. Pediatr. Neurol. 42, 177–180 (2010).

    PubMed  Article  Google Scholar 

  286. 286.

    Novak, I. et al. Early, accurate diagnosis and early intervention in cerebral palsy: advances in diagnosis and treatment. JAMA Pediatr. 171, 897–907 (2017).

    PubMed  Article  Google Scholar 

  287. 287.

    Spittle, A. J., Doyle, L. W. & Boyd, R. N. A systematic review of the clinimetric properties of neuromotor assessments for preterm infants during the first year of life. Dev. Med. Child Neurol. 50, 254–266 (2008).

    PubMed  Article  Google Scholar 

  288. 288.

    Bossuyt, P. M., Reitsma, J. B., Linnet, K. & Moons, K. G. Beyond diagnostic accuracy: the clinical utility of diagnostic tests. Clin. Chem. 58, 1636–1643 (2012).

    PubMed  Article  CAS  Google Scholar 

  289. 289.

    Rosenbloom, L. What is the role of the General Movements Assessment in clinical practice? Dev. Med. Child Neurol. 60, 6 (2018).

    PubMed  Article  Google Scholar 

  290. 290.

    Spittle, A., Orton, J., Anderson, P., Boyd, R. & Doyle, L. W. Early developmental intervention programmes post-hospital discharge to prevent motor and cognitive impairments in preterm infants. Cochrane Database Syst. Rev. 12, Cd005495 (2012).

    PubMed  Google Scholar 

  291. 291.

    Morgan, C. et al. Effectiveness of motor interventions in infants with cerebral palsy: a systematic review. Dev. Med. Child Neurol. 58, 900–909 (2016).

    PubMed  Article  Google Scholar 

  292. 292.

    Korzeniewski, S. J., Birbeck, G., DeLano, M. C., Potchen, M. J. & Paneth, N. A systematic review of neuroimaging for cerebral palsy. J. Child Neurol. 23, 216–227 (2008).

    PubMed  Article  Google Scholar 

  293. 293.

    Reid, S. M., Dagia, C. D., Ditchfield, M. R., Carlin, J. B. & Reddihough, D. S. Population-based studies of brain imaging patterns in cerebral palsy. Dev. Med. Child Neurol. 56, 222–232 (2013).

    PubMed  Article  Google Scholar 

  294. 294.

    White, T. et al. Paediatric population neuroimaging and the Generation R Study: the second wave. Eur. J. Epidemiol. 33, 99–125 (2017).

    PubMed  PubMed Central  Article  Google Scholar 

  295. 295.

    George, J. M. et al. Diagnostic accuracy of early magnetic resonance imaging to determine motor outcomes in infants born preterm: a systematic review and meta-analysis. Dev. Med. Child Neurol. 60, 134–146 (2018).

    PubMed  Article  Google Scholar 

  296. 296.

    LeWinn, K. Z., Sheridan, M. A., Keyes, K. M., Hamilton, A. & McLaughlin, K. A. Sample composition alters associations between age and brain structure. Nat. Commun. 8, 874 (2017).

    Article  CAS  Google Scholar 

  297. 297.

    Yanni, D. et al. Both antenatal and postnatal inflammation contribute information about the risk of brain damage in extremely preterm newborns. Pediatr. Res. 82, 691–696 (2017).

    PubMed  PubMed Central  Google Scholar 

  298. 298.

    Korzeniewski, S. J. et al. Are preterm newborns who have relative hyperthyrotropinemia at increased risk of brain damage? J. Pediatr. Endocrinol. Metab. 27, 1077–1088 (2014).

    PubMed  PubMed Central  CAS  Google Scholar 

  299. 299.

    Korzeniewski, S. J. et al. Elevated endogenous erythropoietin concentrations are associated with increased risk of brain damage in extremely preterm neonates. PLOS One 10, e0115083 (2015).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  300. 300.

    Leviton, A. et al. Two-hit model of brain damage in the very preterm newborn: small for gestational age and postnatal systemic inflammation. Pediatr. Res. 73, 362–370 (2013).

    PubMed  Article  CAS  Google Scholar 

  301. 301.

    Barnett, M. L. et al. Exploring the multiple-hit hypothesis of preterm white matter damage using diffusion MRI. NeuroImage Clinical 17, 596–606 (2018).

    PubMed  Article  Google Scholar 

  302. 302.

    Wixey, J. A., Chand, K. K., Colditz, P. B. & Bjorkman, S. T. Review: Neuroinflammation in intrauterine growth restriction. Placenta 54, 117–124 (2017).

    PubMed  Article  Google Scholar 

  303. 303.

    Korzeniewski, S. J. et al. A “multi-hit” model of neonatal white matter injury: cumulative contributions of chronic placental inflammation, acute fetal inflammation and postnatal inflammatory events. J. Perinat. Med. 42, 731–743 (2014).

    PubMed  PubMed Central  Article  Google Scholar 

  304. 304.

    Wang, L. W., Lin, Y. C., Wang, S. T., Yeh, T. F. & Huang, C. C. Hypoxic/ischemic and infectious events have cumulative effects on the risk of cerebral palsy in very-low-birth-weight preterm infants. Neonatology 106, 209–215 (2014).

    PubMed  Article  Google Scholar 

  305. 305.

    Schneider, R. E. et al. The association between maternal age and cerebral palsy risk factors. Pediatr. Neurol. 82, 25–28 (2018).

    PubMed  Article  Google Scholar 

  306. 306.

    Last, J. A. Dictionary of Epidemiology 3rd edn (Oxford Univ. Press, 2002).

  307. 307.

    Phelps, W. M. The cerebral palsies. Clin. Orthopaed. Related Res. 44, 83–88 (1966).

    Article  CAS  Google Scholar 

  308. 308.

    Stanley, F. J. & Watson, L. The cerebral palsies in Western Australia: trends, 1968 to 1981. Am. J. Obstet. Gynecol. 158, 89–93 (1988).

    PubMed  Article  CAS  Google Scholar 

  309. 309.

    Blair, E., Badawi, N. & Watson, L. Definition and classification of the cerebral palsies: the Australian view. Dev. Med. Child Neurol. Suppl. 109, 33–34 (2007).

    PubMed  Article  Google Scholar 

  310. 310.

    Alberman, E. D. & Stanley, F. J. The Epidemiology of the Cerebral Palsies (Blackwell Scientific Publications, 1984).

  311. 311.

    Yeargin-Allsopp, M. Distribution of motor types in cerebral palsy: how do registry data compare? Dev. Med. Child Neurol. 53, 199–200 (2011).

    PubMed  Article  Google Scholar 

  312. 312.

    Nguyen, L., Mesterman, R. & Gorter, J. W. Development of an inventory of goals using the International Classification of Functioning, Disability and Health in a population of non-ambulatory children and adolescents with cerebral palsy treated with botulinum toxin A. BMC Pediatr. 18, 1 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  313. 313.

    Bartlett, D., Dyszuk, E., Galuppi, B. & Gorter, J. W. Interrelationships of functional status and health conditions in children with cerebral palsy: a descriptive study. Pediatr. Phys. Ther. 30, 10–16 (2018).

    PubMed  Article  Google Scholar 

  314. 314.

    Paulson, A. & Vargus-Adams, J. Overview of four functional classification systems commonly used in cerebral palsy. Children 4, E30 (2017).

    PubMed  Article  Google Scholar 

  315. 315.

    Nelson, K. B. & Ellenberg, J. H. Obstetric complications as risk-factors for cerebral-palsy or seizure disorders. JAMA 251, 1843–1848 (1984).

    PubMed  Article  CAS  Google Scholar 

  316. 316.

    Nelson, K. B. & Ellenberg, J. H. Antecedents of cerebral palsy. I. Univariate analysis of risks. Am. J. Dis. Child 139, 1031–1038 (1985).

    PubMed  Article  CAS  Google Scholar 

  317. 317.

    Tollanes, M. C. et al. Cohort profile: cerebral palsy in the Norwegian and Danish birth cohorts (MOBAND-CP). BMJ Open 6, e012777 (2016).

    PubMed  PubMed Central  Article  Google Scholar 

  318. 318.

    Myatt, L. et al. Strategy for standardization of preeclampsia research study design. Hypertension 63, 1293–1301 (2014).

    PubMed  Article  CAS  Google Scholar 

  319. 319.

    Hyams, K. C. Developing case definitions for symptom-based conditions: the problem of specificity. Epidemiol. Rev. 20, 148–156 (1998).

    PubMed  Article  CAS  Google Scholar 

  320. 320.

    Weiss, N. S. & Liff, J. M. Accounting for the multicausal nature of disease in the design and analysis of epidemiologic studies. Am. J. Epidemiol. 117, 14–18 (1983).

    PubMed  Article  CAS  Google Scholar 

  321. 321.

    Schang, A. L., Gressens, P. & Fleiss, B. Revisiting thyroid hormone treatment to prevent brain damage of prematurity. J. Neurosci. Res. 92, 1609–1610 (2014).

    PubMed  Article  CAS  Google Scholar 

  322. 322.

    Dowding, V. M. & Barry, C. Cerebral palsy: social class differences in prevalence in relation to birthweight and severity of disability. J. Epidemiol. Commun. Health 44, 191–195 (1990).

    Article  CAS  Google Scholar 

  323. 323.

    Ahlin, K. et al. Non-infectious risk factors for different types of cerebral palsy in term-born babies: a population-based, case-control study. BJOG 120, 724–731 (2013).

    PubMed  Article  CAS  Google Scholar 

  324. 324.

    Freire, G., Shevell, M. & Oskoui, M. Cerebral palsy: phenotypes and risk factors in term singletons born small for gestational age. Eur. J. Paediatr. Neurol. 19, 218–225 (2015).

    PubMed  Article  Google Scholar 

  325. 325.

    Stanek, J. L., Emerson, J. A., Murdock, F. A. & Petroski, G. F. Growth characteristics in cerebral palsy subtypes: a comparative assessment. Dev. Med. Child Neurol. 58, 931–935 (2016).

    PubMed  Article  Google Scholar 

  326. 326.

    Ahlin, K., Himmelmann, K., Nilsson, S., Sengpiel, V. & Jacobsson, B. Antecedents of cerebral palsy according to severity of motor impairment. Acta Obstet. Gynecol. Scand. 95, 793–802 (2016).

    PubMed  Article  Google Scholar 

  327. 327.

    Zelnik, N. et al. The role of prematurity in patients with hemiplegic cerebral palsy. J. Child Neurol. 31, 678–682 (2016).

    PubMed  Article  Google Scholar 

  328. 328.

    Kitai, Y. et al. Outcome of hemiplegic cerebral palsy born at term depends on its etiology. Brain Dev. 38, 267–273 (2016).

    PubMed  Article  Google Scholar 

  329. 329.

    Yang, Y. et al. Hypoxic stress forces adaptive and maladaptive placental stress responses in early pregnancy. Birth Defects Res. 109, 1330–1344 (2017).

    PubMed  Article  CAS  Google Scholar 

  330. 330.

    Lahti-Pulkkinen, M. et al. Placental morphology is associated with maternal depressive symptoms during pregnancy and toddler psychiatric problems. Sci. Rep. 8, 791 (2018).

    Article  CAS  Google Scholar 

  331. 331.

    Labarrere, C. A. et al. Failure of physiologic transformation of spiral arteries, endothelial and trophoblast cell activation, and acute atherosis in the basal plate of the placenta. Am. J. Obstet. Gynecol. 216, 287.e1–287.e16 (2017).

    Article  Google Scholar 

  332. 332.

    Korzeniewski, S. J. et al. Maternal plasma angiogenic index-1 (placental growth factor/soluble vascular endothelial growth factor receptor-1) is a biomarker for the burden of placental lesions consistent with uteroplacental underperfusion: a longitudinal case-cohort study. Am. J. Obstet. Gynecol. 214, 629.e1–629.e17 (2016).

    Article  CAS  Google Scholar 

  333. 333.

    McCowan, L. M. et al. Prediction of small for gestational age infants in healthy nulliparous women using clinical and ultrasound risk factors combined with early pregnancy biomarkers. PLOS One 12, e0169311 (2017).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  334. 334.

    Kumar, M. et al. Adverse fetal outcome: is first trimester ultrasound and Doppler better predictor than biomarkers? J. Matern. Fetal Neonatal Med. 30, 1410–1416 (2017).

    PubMed  Article  CAS  Google Scholar 

  335. 335.

    Levine, R. J. et al. Circulating angiogenic factors and the risk of preeclampsia. N. Engl. J. Med. 350, 672–683 (2004).

    PubMed  Article  CAS  Google Scholar 

  336. 336.

    O’Gorman, N. et al. Accuracy of competing-risks model in screening for pre-eclampsia by maternal factors and biomarkers at 11–13 weeks’ gestation. Ultrasound Obstet. Gynecol. 49, 751–755 (2017).

    PubMed  Article  Google Scholar 

  337. 337.

    Bolnick, J. M. et al. Altered biomarkers in trophoblast cells obtained noninvasively prior to clinical manifestation of perinatal disease. Sci. Rep. 6, 32382 (2016).

    Article  CAS  Google Scholar 

  338. 338.

    Moser, G., Drewlo, S., Huppertz, B. & Armant, D. R. Trophoblast retrieval and isolation from the cervix: origins of cervical trophoblasts and their potential value for risk assessment of ongoing pregnancies. Hum. Reprod. Update. https://doi.org/10.1093/humupd/dmy008 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  339. 339.

    Joyner, M. J. & Pedersen, B. K. Ten questions about systems biology. J. Physiol. 589, 1017–1030 (2011).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  340. 340.

    Kotas, M. E. & Medzhitov, R. Homeostasis, inflammation, and disease susceptibility. Cell 160, 816–827 (2015).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  341. 341.

    Lisovska, N. et al. Pathogenesis of cerebral palsy through the prism of immune regulation of nervous tissue homeostasis: literature review. Childs Nerv. Syst. 32, 2111–2117 (2016).

    PubMed  Article