Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Childhood outcomes following preterm prelabor rupture of the membranes (PPROM): a population-based record linkage cohort study

Abstract

Objective:

The objective of this study is to determine child health, development and educational outcomes for infants born following preterm prelabor rupture of the membrane (PPROM).

Study Design:

Population-based record linkage cohort study using data from NSW, Australia, 2001 to 2014.

Results:

Of 121 822 births at 20 to 37 weeks, 18 799 (15%) followed PPROM, 56 406 (46%) followed spontaneous labor and 46 617 (38%) were planned. Compared with infants of a similar gestational age born following spontaneous labor or planned delivery, exposure to PPROM did not increase the risk of childhood mortality, childhood hospitalization, developmentally vulnerable at school entry, low reading or numeracy scores. Median latency ranged from 12 days (interquartile range 3 to 37 days) at 25 weeks to 1 day (0 to 2 days) at 36 weeks. Longer latency and more advanced gestational age at birth were associated with better outcomes.

Conclusion:

Infants born following PPROM are at no greater risk of adverse child health, development and education outcomes than those of similar gestational age born without PPROM.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1

Similar content being viewed by others

References

  1. Ananth CV, Vintzileos AM . Epidemiology of preterm birth and its clinical subtypes. J Matern Fetal Neonatal Med 2006; 19 (12): 773–782.

    Article  Google Scholar 

  2. Goldenberg RL, Culhane JF, Iams JD, Romero R . Epidemiology and causes of preterm birth. Lancet 2008; 371 (9606): 75–84.

    Article  Google Scholar 

  3. American College of Obstetrics and Gynecology. ACOG Practice Bulletin No. 139: premature rupture of membranes. Obstet Gynecol 2013; 122 (4): 918–930.

    Article  Google Scholar 

  4. Caughey AB, Robinson JN, Norwitz ER . Contemporary diagnosis and management of preterm premature rupture of membranes. Rev Obstet Gynecol 2008; 1 (1): 11–22.

    PubMed  PubMed Central  Google Scholar 

  5. Kenyon S, Pike K, Jones DR, Brocklehurst P, Marlow N, Salt A et al. Childhood outcomes after prescription of antibiotics to pregnant women with preterm rupture of the membranes: 7-year follow-up of the ORACLE I trial. Lancet 2008; 372 (9646): 1310–1318.

    Article  CAS  Google Scholar 

  6. Kibel M, Asztalos E, Barrett J, Dunn MS, Tward C, Pittini A et al. Outcomes of pregnancies complicated by preterm premature rupture of membranes between 20 and 24 weeks of gestation. Obstet Gynecol 2016; 128 (2): 313–320.

    Article  Google Scholar 

  7. Mura T, Picaud JC, Larroque B, Galtier F, Marret S, Roze JC et al. Cognitive impairment at age 5 years in very preterm infants born following premature rupture of membranes. J Pediatr 2013; 163 (2): 435–440.

    Article  Google Scholar 

  8. Pasquier JC, Bujold E, Rabilloud M, Picaud JC, Ecochard R, Claris O et al. Effect of latency period after premature rupture of membranes on 2 years infant mortality (DOMINOS study). Eur J Obstet Gynecol Reprod Biol 2007; 135 (1): 21–27.

    Article  Google Scholar 

  9. Patkai J, Schmitz T, Anselem O, Mokbat S, Jarreau PH, Goffinet F et al. Neonatal and two-year outcomes after rupture of membranes before 25 weeks of gestation. Eur J Obstet Gynecol Reprod Biol 2013; 166 (2): 145–150.

    Article  Google Scholar 

  10. Spinillo A, Capuzzo E, Stronati M, Ometto A, Orcesi S, Fazzi E . Effect of preterm premature rupture of membranes on neurodevelopmental outcome: follow up at two years of age. Br J Obstet Gynaecol 1995; 102 (11): 882–887.

    Article  CAS  Google Scholar 

  11. Vermeulen GM, Bruinse HW, de Vries LS . Perinatal risk factors for adverse neurodevelopmental outcome after spontaneous preterm birth. Eur J Obstet Gynecol Reprod Biol 2001; 99 (2): 207–212.

    Article  CAS  Google Scholar 

  12. Brinkman S, Silburn S, Lawrence D, Oberklaid F, Goldfield S, Sayers M et al Construct and concurrent validity of the Australian Early Development Index: A Report to the Technical Advisory Group for the Australian Early Development Index: Building Better Communities for Children Project. http://www.aedc.gov.au/resources/publication 2006.

  13. Janus M, Offord DR . Development and psychometric properties of the early development instrument (edi): a measure of children’s school readiness. Can J Behav Sci 2007; 39 (1): 1–22.

    Article  Google Scholar 

  14. Australian Early Development Census International use of the Early Development Index. http://www.aedc.gov.au/about-the-aedc/history/international-use-of-the-early-development-instrument.

  15. Australian Curriculum Assessment and Reporting Authority (ACARA). National Assessment Program—Literacy and Numeracy 2013: Technical Report. http://www.nap.edu.au/_resources/NAPLAN_2013_technical_report.pdf. 2014.

  16. Bentley JP, Ford JB, Taylor LK, Irvine KA, Roberts CL . Investigating linkage rates among probabilistically linked birth and hospitalization records. BMC Med Res Methodol 2012; 12: 149.

    Article  Google Scholar 

  17. Centre for Health Record Linkage. CHeReL Quality Assurance Procedures for Record Linkage. http://www.cherel.org.au/quality-assurance.

  18. Hennessy D, Torvaldsen S, Roberts CL Linkage Rate Between NSW Perinatal Data Collection Birth Records and Government School NAPLAN Educational Records, by Gestational Age at Birth. http://hdl.handle.net/2123/15755 2016.

  19. Bentley JP, Roberts CL, Bowen JR, Martin AJ, Morris JM, Nassar N . Planned birth before 39 weeks and child development: a population-based study. Pediatrics 2016; 138 (6).

    Article  Google Scholar 

  20. NSW Health Department. Validation study: NSW midwives data collection. NSW Public Health Bull 2000; 9 (S-2): 97–99. http://www.health.nsw.gov.au/phb/Publications/NSW-mothers-babies-1998.pdf.

    Google Scholar 

  21. Taylor L, Travis S, Pym M, Olive E, Henderson-Smart D . How useful are hospital morbidity data for monitoring conditions occurring in the perinatal period? Aust N Z J Obstet Gynecol 2005; 45: 36–41.

    Article  Google Scholar 

  22. Khambalia AZ, Roberts CL, Nguyen M, Algert CS, Nicholl MC, Morris J . Predicting date of birth and examining the best time to date a pregnancy. Int J Gynaecol Obstet 2013; 123 (2): 105–109.

    Article  Google Scholar 

  23. Buchanan S, Crowther C, Morris J . Preterm prelabour rupture of the membranes: a survey of current practice. Aust N Z J Obstet Gynecol 2004; 44 (5): 400–403.

    Article  Google Scholar 

  24. Hannah ME, Ohlsson A, Farine D, Hewson SA, Hodnett ED, Myhr TL et al. Induction of labor compared with expectant management for prelabor rupture of the membranes at term. N Engl J Med 1996; 334 (16): 1005–1010.

    Article  CAS  Google Scholar 

  25. Australian Government. A Snapshot of Early Childhood Development in Australia 2012—AEDI National Report. https://www.aedc.gov.au/resources/reports 2013.

  26. Roberts CL, Lancaster PA . Australian national birthweight percentiles by gestational age. Med J Aust 1999; 170 (3): 114–118.

    Article  CAS  Google Scholar 

  27. Australian Bureau of Statistics. Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia, 2006. Catalogue 2033.0.55.001. http://www.abs.gov.au/ausstats/abs@.nsf/mf/2033.0.55.001/. 2008.

  28. Sydney eScholarship Repository. Childhood Outcomes Following Preterm Prelabor Rupture of the Membranes (PPROM): A Population-Based Record Linkage Cohort Study https://ses.library.usyd.edu.au/handle/2123/9877 2017.

  29. Kenyon S, Pike K, Jones DR, Brocklehurst P, Marlow N, Salt A et al. Childhood outcomes after prescription of antibiotics to pregnant women with spontaneous preterm labour: 7-year follow-up of the ORACLE II trial. Lancet 2008; 372 (9646): 1319–1327.

    Article  CAS  Google Scholar 

  30. Marlow N, Pike K, Bower E, Brocklehurst P, Jones D, Kenyon S et al. Characteristics of children with cerebral palsy in the ORACLE children study. Dev Med Child Neurol 2012; 54 (7): 640–646.

    Article  Google Scholar 

  31. Livinec F, Ancel PY, Marret S, Arnaud C, Fresson J, Pierrat V et al. Prenatal risk factors for cerebral palsy in very preterm singletons and twins. Obstet Gynecol 2005; 105 (6): 1341–1347.

    Article  Google Scholar 

  32. Hadley CB, Main DM, Gabbe SG . Risk factors for preterm premature rupture of the fetal membranes. Am J Perinatol 1990; 7 (4): 374–379.

    Article  CAS  Google Scholar 

  33. Ladfors L, Mattsson LA, Eriksson M, Milsom I . Prevalence and risk factors for prelabor rupture of the membranes (PROM) at or near-term in an urban Swedish population. J Perinat Med 2000; 28 (6): 491–496.

    Article  CAS  Google Scholar 

  34. Drassinower D, Friedman AM, Obican SG, Levin H, Gyamfi-Bannerman C . Prolonged latency of preterm prelabour rupture of membranes and neurodevelopmental outcomes: a secondary analysis. BJOG 2016; 123 (10): 1629–1635.

    Article  CAS  Google Scholar 

  35. Walker MW, Picklesimer AH, Clark RH, Spitzer AR, Garite TJ . Impact of duration of rupture of membranes on outcomes of premature infants. J Perinatol 2014; 34 (9): 669–672.

    Article  CAS  Google Scholar 

  36. Roberts CL, Ford JB, Algert CS, Morris JM. Prolonged latency of preterm prelabour rupture of membranes and neurodevelopmental outcomes. BJOG 2017; 124: 830–831..

  37. Drassinower D, Friedman AM, Obican SG, Levin H, Gyamfi-Bannerman C . Prolonged latency of preterm premature rupture of membranes and risk of cerebral palsy. J Matern Fetal Neonatal Med 2016; 29 (17): 2748–2752.

    PubMed  Google Scholar 

  38. Roberts CL, Bell JC, Ford JB, Morris JM . Monitoring the quality of maternity care—how well are labour and delivery events reported in population health data? Paed Perinatal Epidemiol 2009; 23: 144–152.

    Article  Google Scholar 

  39. Moster D, Lie RT, Irgens LM, Bjerkedal T, Markestad T . The association of Apgar score with subsequent death and cerebral palsy: a population-based study in term infants. J Pediatr 2001; 138 (6): 798–803.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This study uses unit record data from the Australian Early Development Census (AEDC) and the National Assessment Program—Literacy and Numeracy. We thank the Ministry of Health, the NSW Department of Education and Communities (NAPLAN), and the Australian Government Department of Education and Training (AEDC) for provision of population data, and the NSW Centre for Health Record Linkage for record linkage. The findings and views reported in this article are those of the authors and should not be attributed to the departments that provided data. We thank Dr Jillian Patterson for providing supplementary statistical analysis. This work was supported by an Australian National Health and Medical Research Council (NHRMC) project grant (APP1085775). CLR is funded by an NHMRC Senior Research Fellowship (APP1021025). PW and ST were funded through a New South Wales Ministry of Health ‘Population Health and Health Services Research Support Program’ grant.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C L Roberts.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Additional information

Supplementary Information accompanies the paper on the Journal of Perinatology website

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roberts, C., Wagland, P., Torvaldsen, S. et al. Childhood outcomes following preterm prelabor rupture of the membranes (PPROM): a population-based record linkage cohort study. J Perinatol 37, 1230–1235 (2017). https://doi.org/10.1038/jp.2017.123

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/jp.2017.123

This article is cited by

Search

Quick links