Skip to main content

Thank you for visiting 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.

The Value of Decreased Thyroid Hormone for Predicting Mortality in Adult Septic Patients: A Systematic Review and Meta-Analysis


Decreased thyroid hormone (TH) has been considered as one of the potential predictors of mortality in sepsis. This study aimed to evaluate the prognostic impact of decreased TH on mortality in septic patients during intensive care unit (ICU) admission. We included studies that assessed thyroid function by measuring the serum thyroid hormone level and in-hospital mortality in adult septic patients. Reviews, case reports, editorials, letters, commentaries, animal studies, duplicate studies, and studies with irrelevant populations and inappropriate controls were excluded. A total of 1,578 patients from eight studies were included. Triiodothyronine levels in non-survivors were relatively lower than that of survivors (6 studies; standardized mean difference [SMD] 2.31; 95% confidence interval (CI), 0.52–4.10; I2 = 97%; P = 0.01). Thyroxine levels in non-survivors were also lower than that of survivors (5 studies; SMD 2.40; 95% CI, 0.91–3.89). There were no statistically significant differences in thyroid-stimulating hormone levels between non-survivors and survivors. The present meta-analysis suggested that the decreased TH during ICU admission might be associated with the increase in mortality in adult septic patients. Hence, the measurement of TH could provide prognostic information on mortality in adult septic patients.


Decreased thyroid hormone (TH) level has often been reported in septic patients. This phenomenon has been explained by the key role of TH in adapting metabolic function to sepsis1,2. The two mechanisms which result in low triiodothyronine (T3) and thyroxine (T4) in sepsis are (1) the excessive production of inactive reverse T3 from T4 and (2) the malfunction of hypothalamic-pituitary-thyroid axis by inflammatory cytokine3,4.

The decrease in TH level is closely related to the dysfunction of immune cells or the heart muscles5. Furthermore, decreased T3 level is also correlated with worsening lung function6,7. In an animal study on sepsis, a decrease in free T3 (fT3) and free T4 (fT4) levels was observed in the septic rat group with histopathological damages of the liver, lung, and kidney8. These significant correlations between TH level and multiple organ dysfunction suggest that decreased TH level in sepsis could provide the prognostic information on mortality.

Previous clinical studies also demonstrated the association of the decrease in various TH levels such as T3, T4, thyroid stimulating hormone (TSH), fT3, and fT4 with mortality in septic patients2,9,10,11,12,13,14,15,16,17. As a result, the decrease in TH level has been considered as one of the potential predictors of mortality in septic patients2,15,16,17. Nevertheless, the prognostic impact of TH in mortality due to sepsis is still controversial.

We performed a systematic review and meta-analysis to identify the prognostic value of decreased TH levels in mortality due to sepsis by classifying TH types.


Study and Patients Characteristics

The flowchart of the search and selection of eligible studies, is shown in Fig. 1. A total of 2,124 records were identified through database searching while two additional records were identified through other sources. After removing 255 duplicates, the titles and abstracts for 1,869 records were screened for eligibility. Of these, 27 records were identified as being potentially relevant and the full-text articles were retrieved for a more thorough review. Based on the following reasons, 19 studies were excluded: not a relevant population (n = 6), not a relevant outcome (n = 8), and review articles (n = 5). Finally, 8 studies and 1,578 enrolled patients, were included in the meta-analysis2,11,12,13,14,15,16,17. The main characteristics of these 8 studies are summarized in Table 1 and the definition of sepsis in each study was presented in Supplemental Table S1, respectively. In all the studies included, the observational study design was used; and this meta-analysis compared the mean TH value between those who survived and those that died, in these studies.

Figure 1

Flow diagram for identification of relevant studies.

Table 1 Characteristics of studies included in the review.

Quality of the Included Studies

Among the 8 studies that were included in this present study, using the quality scoring system, 3 out of 8 studies were rated as low-quality11,13,17; whereas, with the remaining 5 studies, based on the scoring, the ratings were deemed to be high2,12,14,15,16. The following major factors affected the study quality: study participation/attrition as well as the study confounding. The summary of our assessment of the risk of bias of the studies included is shown in the Supplemental Fig. S1.

Main Analysis

Eight relevant studies, with 1,578 patients, were included in this present study. These studies reported differences according to five different serum TH levels (T3, T4, free T3, free T4, and TSH) between survivors and non-survivors (Fig. 2).

Figure 2

Forest plot of the effect of low thyroid hormone level and mortality before sensitivity analysis CI: confidence interval, SD: standard deviation.

T3 levels in non-survivors were relatively lower than that of survivors (6 studies; SMD, 2.31; 95% CI, 0.52–4.10; I2 = 97%; P = 0.01). T4 levels in non-survivors were also lower than that of survivors with sepsis (5 studies; SMD, 2.40; 95% CI, 0.91–3.89; I2 = 94%; P = 0.002). There were no statistically significant differences in TSH levels between non-survivors and survivors. In the analysis for fT4 and fT3, these TH levels in non-survivors were relatively lower than that of survivors (4 studies for fT4: SMD, 2.35; 95% CI, 0.74–3.97; I2 = 96%; P = 0.004; 3 studies for fT3: SMD, 1.60; 95% CI, 0.77–2.40; I2 = 80%; P = 0.0002).

However, substantial heterogeneity was present in the data. These potential sources of heterogeneity were evaluated through additional stratified analyses (Table 2).

Table 2 Subgroup analysis of included studies to identify the association of thyroid hormone level with mortality.

Subgroup Analysis and Sources of Heterogeneity

Subgroup analysis was performed to identify the association of low T3 or T4 with mortality, and to minimize heterogeneity in each subgroup. In the analysis based on the proportion of males (≥70% vs. <70%), the total number of samples (≥80 vs. <80), mortality rate (≥40% vs. <40%), and the kinds of measurement techniques (radioimmunoassay [RIA] vs. others), there was no significant decrease in heterogeneity in each subgroup (all I2 > 90%). We only observed significant decrease in heterogeneity in the low quality study subgroup (T3, I2 = 0%, p = 0.48; T4, I2 = 56%, p = 0.13) (Table 2).

Sensitivity Analysis

In the sensitivity analysis, we found two outlier studies by Sumita et al.12 and Todd et al.16, which showed significant heterogeneities between studies for T3, T4, TSH, and fT4 (Supplemental Fig. S2).

After performing the sensitivity analysis and eliminating these two studies, compared to the survivors, a significantly lower TH level was found in non-survivors; demonstrating the increase in mortality (SMD, 0.85; 95% CI, 0.51–1.20; I2 = 78%; P < 0.0001; Fig. 3).

Figure 3

Forest plot of the effect of low thyroid hormone level and mortality after sensitivity analysis. Two outlier studies by Sumita et al. and Todd et al. were excluded following sensitivity analysis. CI: confidence interval, SD: standard deviation.

T3 levels in non-survivors were relatively lower than that of survivors (4 studies; SMD, 0.95; 95% CI, 0.41–1.49; I2 = 56%; P = 0.0005). T4 levels in non-survivors were also lower than that of survivors with sepsis (3 studies; SMD, 1.24; 95% CI, 0.56–1.91; I2 = 46%; P = 0.0003). There were no statistically significant differences in TSH and fT4 levels between non-survivors and survivors. In the analysis for fT3, there were insufficient studies to perform meta-analysis.

Publication bias

There was no definite asymmetry of the forest plot. No significant bias existed statistically in the assessment based on Egger’s regression test (T3, p = 0.68; T4, p = 0.59) (Fig. 4).

Figure 4

Funnel plot and Egger’s regression test to assess for publication bias. (A) Publication bias for low triiodothyronine (T3) level and mortality in septic patients. (B) Publication bias for low thyroxine (T4) level and mortality in septic patients.


According to the findings of this systematic review and meta-analysis, decreased TH levels, either T3 or T4, tend to be associated with mortality in adult septic patients. These results suggest the possibility of decreased thyroid level (T3 or T4) as a prognostic factor of mortality in adult septic patients. As far as we know, this meta-analysis is the first to evaluate the value of TH as a prognostic factor, in a total 1,578 adult patients with sepsis.

Recent systematic review reported that lower T3 or T4 showed associations with worse outcome in sepsis or septic shock9. However, only two included studies were in adults11,13 while most studies were among neonates and children. In addition, higher serum TH levels in neonates were also shown in comparison with those of older children and adults; these results were indicative of adult septic patients9. Therefore, we aimed at a meta-analysis that was restrictively performed only in adult patients with sepsis.

The main mechanism of sepsis may involve systematic inflammatory effects, immune dysfunction, the dysfunction of blood coagulation and anti-coagulation, and tissue injury18,19,20. It has been shown that critical illnesses including sepsis was often accompanied by alterations in the levels or function of several hormones. Changes in the level of serum THs without concomitant thyroid disease are known as non-thyroidal illness syndrome (NTIS). NTIS in sepsis is mainly caused by acute severe inflammation, which can impair the function of the hypothalamic-pituitary-thyroid axis21,22. TH may therefore significantly decrease as sepsis progresses, which promotes multiple organ dysfunctions in septic patients23,24.

TH is closely related to the immune system, which could influence the function and activity of neutrophils and other immune cells. As a result, decreased TH level could cause immune system dysfunction25,26,27.

With the coagulation system, anti-thrombin III plays an important role in maintaining the balance between coagulatory and anticoagulatory functions in septic patients. A previous study reported that T3 supplement could protect septic patients from disseminated intravascular coagulopathy (DIC) through increasing the levels of anti-thrombin III10. Hence, decreased TH could worsen the prognosis and increase the mortality in septic patients.

In the cardiovascular system, cardiac dysfunction is observed in septic patients28. The severity of cardiac dysfunction was shown to be correlated with the prognosis of sepsis28,29,30,31. The appropriate level of THs is essential for the maintenance of the normal electrical activity of the heart muscle5. Therefore, disorder in TH may favor septic cardiac dysfunction and influence the prognosis in septic patients24,32,33.

THs are also associated with respiratory functions. Increased serum T3 levels can augment the synthesis of pulmonary surfactant, reduce alveolar surface tension, and increase the lung compliance; resulting in an improved lung function6,7. Decreased level of pulmonary surfactant has been found in septic patients, which led to septic pulmonary dysfunction34.

These significant correlations between decreased TH and multiple organ dysfunctions indicate the possibility of decreased TH as another prognostic factor of mortality in sepsis. This is because the main pathophysiology of death in sepsis patient involves multiple organ dysfunction syndromes35. Several studies have also demonstrated that the decrease in TH level was clinically associated with the increase in mortality in adult septic patients2,11,12,13,14,15,16,17.

The point in time window measurement of TH level could be altered in septic patient according to the progression of sepsis. In the early phase of sepsis, alterations in TH involve mainly peripheral mechanisms, such as, impaired peripheral conversion of T4 to T3 resulting in low T321,36. During the late phase of sepsis, alteration in TH is associated with centrally induced hypothyroidism leading to low T4 and low-normal or decreased TSH in addition to the low T321,36,37. Similarly, our meta-analysis also showed lower T3 or T4 in death groups among septic patients than survivors. Thus, the serial measurement of T3 and T4 in sepsis could probably be more informative to evaluate the prognosis in sepsis.

We found high heterogeneities in the statistical results of this meta-analysis. To resolve the high heterogeneity issues, subgroup analysis was first performed. Although a stratified analysis was performed for confounding factors such as sex (male ≥70% vs. <70%), sample size (≥80 vs. <80), study quality (high vs. low), and mortality (≥40% vs. <40%), the heterogeneities still remained high (Table 2). The most likely cause of heterogeneities was considered as follows: the severity of sepsis (Acute Physiology and Chronic Health Evaluation [APACHE] II, Sequential Organ Failure Assessment [SOFA], and the Simplified Acute Physiology Score [SAPS] II); the diversity of infectious focus (lung vs. gastrointestinal vs. genitourinary tract), and the inconsistent TH sampling time. These many factors which increase heterogeneities were not adjusted for because of insufficient data (Table 1 and Supplemental Table S2).

After the subgroup analysis, any substantial reduction in heterogeneities was not observed. To resolve the issue of the high heterogeneities, we additionally performed sensitivity analysis for two specific included studies12,16. The study by Sumita et al.12 presented the highest mortality among the included studies (56% in-hospital mortality; Table 1). Since the high mortality group in septic patients could cause relatively lower TH levels compared with the low mortality groups, this study was considered to be the major contributor of the high heterogeneity. Furthermore, the study by Todd et al.16 was also considered as another contributor, because this study was only performed in surgical septic patients. We expected that the relatively different patient characteristics of this study also caused considerable heterogeneities. After performing sensitivity analysis by removing these two studies, the heterogeneities for TH (T3, T4, and TSH) in this meta-analysis effectively reduced (T3, I2 = 56%; T4, I2   = 46%; TSH, I2   = 0%; Fig. 3). Nevertheless, the heterogeneities of other THs (fT3 and fT4) were not resolved after the sensitivity analysis.

This meta-analysis has several limitations. First, the severity scores in septic patients affected the prognosis and were insufficiently reflected in this meta-analysis (Supplemental Table S2). These resulted in the lack of data for the reported severity scores of included studies. Second, the high heterogeneity issues due to the inconsistent sampling time of serum TH were not sufficiently resolved. This was because only 4 of 8 included studies exactly reported the sampling time of TH (Table 1). We therefore could not examine the sampling time of the serum TH analysis. Third, general representativeness was not established in this study. Although various races such as Asian, Caucasian, and African were included, all included studies were single-center investigations. Hence, this study may not be generalized to most patients with sepsis.

In conclusion, the findings of this systematic review and meta-analysis showed that decreased serum T3 or T4 levels tend to be associated with the mortality in adult septic patients. On the basis of these findings, the measurement of serum T3 or T4 levels in adult septic patients could provide better information-related prognosis.


Our study was based on the principles outlined by the Meta-analysis of Observational Studies in Epidemiology (MOOSE)38 and the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) groups39.

Briefly, we developed a question based on population, intervention, comparison, and outcome (PICO). Accordingly, literature searches and critical assessments were performed. We summarized the eligible studies; and their outcomes were evaluated in a meta-analysis.

The PICO question was as follows: population (P) = hadult septic patients who neither had thyroid diseases nor medication history of intake of drugs altering thyroid function; intervention (I) = decreased thyroid function (the decrease in thyroid hormone level), comparator (C) = none; outcome (O) = mortality.

Search Strategy

A literature search was performed by two experienced reviewers (J. Kim and H. Shin) on 08 August 2017. The search encompassed the MEDLINE and EMBASE databases via the Ovid interface.

Search terms included “sepsis” or “septic shock” or “systemic inflammatory response syndrome” or “septicemia” or “bacteremia” and “thyroid hormone” or “thyrotropin” or “hypothyroidism” or “triiodothyronine” or “T3” or “thyroxine” or “T4” or “TSH” (Supplemental Table S3).

We included articles reporting any prospective or retrospective cohort studies which addressed our PICO question.

Study Selection

All identified studies were inputted into the reference management software Endnote X8. The two reviewers checked the title, abstract, or type of each of the identified articles.

Studies were included in this meta-analysis if they met the following eligibility criteria: (1) included adult septic patients who neither had thyroid diseases nor medication history of intake of drugs altering thyroid function; (2) measured thyroid hormone levels (T3 or T4 or TSH or fT3, or fT4) during admission; (3) provided the mortality data of patients during admission or after discharge. We excluded articles based on the following exclusion criteria: reviews, case reports, editorials, letters, comments; animal studies; duplicate studies; studies on pediatric populations including adolescents, children, infants, and neonates (Fig. 1).

In case of disagreement between the two reviewers, a third reviewer (W. Kim), intervened, and differences were discussed until a consensus was reached. After eliminating the excluded abstracts, we retrieved the full-texts of the chosen articles, which were then rescreened and evaluated more thoroughly for eligibility using the same exclusion criteria. Ultimately, our selected studies included adult patients (age 18–75 years) with sepsis whose mortality and TH assay information were available.

Data Extraction

The two reviewers extracted the characteristics and results of selected studies (J. Kim and H. Shin). Any unresolved disagreement after the discussion was further reviewed by the other co-author (W. Kim).

We extracted the following variables from the studies: first author, year of publication, country, study population, inclusion period, assay method for thyroid function test (TFT) detection, sampling time, baseline characteristics of the patients including age, sex, and in-hospital mortality, and the mean TH (T3, T4, free T3, free T4, and TSH) with their standard deviations (SDs) or the median and interquartile ranges (IQR) were used.

Where necessary, variables listed above that were not described in the studies, were requested for, from each study corresponding author via email. The corresponding author (W. Kim) for the present study had full access to all the data in the study and took responsibility for its integrity and for the data analysis.

Risk of Bias in Individual Studies

To determine the methodological quality of the studies included, BH. Jang and TH. Lim, who were blinded to the authorship or the journal names of selected articles, assessed the studies independently. The evaluation of the risk of bias was carried out using the Quality in Prognosis Studies (QUIPS) tool, and reported as 1 (low), 0.5 (unclear), and 0 (high)40. The scores of the 6 items assessed were summed up to determine studies achieving >4.5 points (high quality). Reviewers of the present study resolved any disagreements through discussions, or a third author conducted a separate review.

Statistical Analysis

The main analysis consisted of an investigation into the association between decreased thyroid function and in-hospital mortality in adult septic patients.

To determine the strength of the association between decreased thyroid function and death, the standardized mean differences (SMD) was derived between the survivors and non-survivor groups, using a random-effect model41.

The effect size estimation was performed by determining the SMD with their 95% confidence interval (CI) because the unit weight of TH levels were reported in most studies with a wide variety of units. SMD was calculated by the following equation: [(non-survivor group mean level − survivor group mean level)/pooled SD]. The mean difference ± SD were derived from the TH levels across comparison groups.

Various units of TH were used in our study; hence, we converted all these different TH units into a single unit: T4(µg/dl), T3(ng/dl), Free T4(ng/dl), Free T3(pg/ml), TSH(µIU/ml).

In studies without SD, the variance was derived as follows42: SD  Sstandard error (SE) × sqrt{N, sample size}, SD N, 1.35/IQR. Heterogeneity was estimated by determining the proportion of inconsistency resulting from the true differences between studies (rather than the differences resulting from the random error or chance) using the I2 statistic reported as 25% (low), 50% (moderate), and 75% (high)43.

We conducted a planned subgroup analyses on extracted subgroup variables for the proportions of males (≥70% vs. <70%), the sample sizes (≥80 vs. <80), and mortality rates (≥40% vs. <40%). We used the median value of the reported rates or the number of the 8 studies included as the reference, to classify both groups of each variable. The analyses of other subgroups such as study quality (low vs. high) or the measurement techniques (RIA vs. others), were also performed.

In the main and subgroup analysis, we used RevMan version 5.3 (Cochrane Collaboration, Oxford, UK) for the statistical analysis, and P < 0.05 was considered statistically significant. Random effects model was used to synthesize the individual data of included studies considering the diversity of countries, medical systems, and inclusion periods44,45,46,47,48,49.

Sensitivity analysis and the identification of publication bias were also performed by the R packages ‘meta’ (R version 3.3.2). Sensitivity analysis was done by sequentially omitting individual study. Publication bias was assessed by funnel plot and Egger’s test. The asymmetry of the funnel plot and P-value (<0.05) using Egger’s test indicated that bias existed.


  1. 1.

    Lodha, R., Vivekanandhan, S., Sarthi, M., Arun, S. & Kabra, S. K. Thyroid function in children with sepsis and septic shock. Acta paediatrica (Oslo, Norway: 1992) 96, 406–409 (2007).

    Google Scholar 

  2. 2.

    Hosny, M., Rashad, R., Atef, D. & Abed, N. Predictive value of thyroid hormone assessment in septic patients in comparison with C-reactive protein. Egyptian Journal of Critical Care Medicine 3, 55–61 (2015).

    Article  Google Scholar 

  3. 3.

    Peeters, R. P. & Berghe, G. V. D. Thyroid hormones and multiple organ dysfunction syndrome. Journal of Organ Dysfunction 5, 1–9 (2009).

    Article  Google Scholar 

  4. 4.

    Gheorghiţă, V., Barbu, A. E., Gheorghiu, M. L. & Căruntu, F. A. Endocrine dysfunction in sepsis: a beneficial or deleterious host response? Germs 5, 17–25 (2015).

    Article  PubMed Central  Google Scholar 

  5. 5.

    Cheng, S. Y., Leonard, J. L. & Davis, P. J. Molecular aspects of thyroid hormone actions. Endocrine reviews 31, 139–170 (2010).

    CAS  Article  PubMed Central  Google Scholar 

  6. 6.

    Dulchavsky, S. A. et al. T3 preserves respiratory function in sepsis. The Journal of trauma 31, 753–758; discussion 758–759 (1991).

    CAS  Article  Google Scholar 

  7. 7.

    Dulchavsky, S. A., Hendrick, S. R. & Dutta, S. Pulmonary biophysical effects of triiodothyronine augmentation during sepsis-induced hypothyroidism. The Journal of trauma 35, 104–108; discussion 108–109 (1993).

    CAS  Article  Google Scholar 

  8. 8.

    Tasci, H. I., Erikoglu, M., Toy, H. & Karaibrahimoglu, A. Course of sepsis in rats with thyroid dysfunction. Turkish journal of surgery 33, 175–179 (2017).

    Article  PubMed Central  Google Scholar 

  9. 9.

    Angelousi, A. G., Karageorgopoulos, D. E., Kapaskelis, A. M. & Falagas, M. E. Association between thyroid function tests at baseline and the outcome of patients with sepsis or septic shock: A systematic review. European Journal of Endocrinology 164, 147–155 (2011).

    CAS  Article  PubMed Central  Google Scholar 

  10. 10.

    Luo, B., Yu, Z. & Li, Y. Thyroid hormone disorders and sepsis. Biomed Mater Eng 28, S237–S241 (2017).

    PubMed  PubMed Central  Google Scholar 

  11. 11.

    Mangas-Rojas, A., Garcia-Rojas, J. F., Barba Chacon, A., Millan Nunez-Cortes, J. & Zamora-Madaria, E. Changes in the hypophyseal-thyroid axis and their prognostic value in sepsis. Revista clinica espanola 187, 395–398 (1990).

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Sumita, S. et al. Suppression of the thyrotropin response to thyrotropin-releasing hormone and its association with severity of critical illness. Critical Care Medicine 22, 1603–1609 (1994).

    CAS  Article  PubMed Central  Google Scholar 

  13. 13.

    Leon-Sanz, M. et al. Pituitary-thyroid function in patients with septic shock and its relation with outcome. European journal of medical research 2, 477–482 (1997).

    CAS  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Cui, N. et al. Early changes in function of hypothalamic-pituitary-target gland axis in patients with severe sepsis and septic shock. Chinese Critical Care Medicine 19, 332–335 (2007).

    CAS  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Meyer, S. et al. Low triiodothyronine syndrome: a prognostic marker for outcome in sepsis? Endocrine 39, 167–174 (2011).

    CAS  Article  PubMed Central  Google Scholar 

  16. 16.

    Todd, S. R. et al. The identification of thyroid dysfunction in surgical sepsis. The journal of trauma and acute care surgery 73, 1457–1460 (2012).

    Article  PubMed Central  Google Scholar 

  17. 17.

    Gonzalez Moral, M. L. et al. Prognostic value of thyroid function in patients with severe sepsis or sepsis shock. Biochimica Clinica 37, S137 (2013).

    Google Scholar 

  18. 18.

    De Backer, D., Donadello, K. & Favory, R. Link between coagulation abnormalities and microcirculatory dysfunction in critically ill patients. Current Opinion in Anesthesiology 22, 150–154 (2009).

    Article  PubMed Central  Google Scholar 

  19. 19.

    Shimada, T. et al. Outcome prediction in sepsis combined use of genetic polymorphisms - A study in Japanese population. Cytokine 54, 79–84 (2011).

    CAS  Article  PubMed Central  Google Scholar 

  20. 20.

    Singh, A. K. et al. Mutual Modulation of Mif and Bacterial Endotoxin May Play an Important Role in The Pathogenesis Of Sepsis. Shock 45, 107–107 (2016).

    Google Scholar 

  21. 21.

    Warner, M. H. & Beckett, G. J. Mechanisms behind the non-thyroidal illness syndrome: an update. Journal of Endocrinology 205, 1–13 (2010).

    CAS  Article  PubMed Central  Google Scholar 

  22. 22.

    Fliers, E., Kalsbeek, A. & Boelen, A. Mechanisms in endocrinology: Beyond the fixed setpoint of the hypothalamus–pituitary–thyroid axis. European Journal of Endocrinology 171, R197–R208 (2014).

    CAS  Article  PubMed Central  Google Scholar 

  23. 23.

    Peeters, R. P. et al. Reduced activation and increased inactivation of thyroid hormone in tissues of critically ill patients. The Journal of clinical endocrinology and metabolism 88, 3202–3211 (2003).

    CAS  Article  PubMed Central  Google Scholar 

  24. 24.

    Danzi, S. & Klein, I. Thyroid Hormone and the Cardiovascular System. Medical Clinics of North America 96, 257–268 (2012).

    CAS  Article  PubMed Central  Google Scholar 

  25. 25.

    Slag, M. F. et al. Hypothyroxinemia in critically ill patients as a predictor of high mortality. Jama 245, 43–45 (1981).

    CAS  Article  PubMed Central  Google Scholar 

  26. 26.

    Fernández, V. & Videla, L. A. On the mechanism of thyroid hormone-induced respiratory burst activity in rat polymorphonuclear leukocytes. Free Radical Biology and Medicine 19, 359–363 (1995).

    Article  PubMed Central  Google Scholar 

  27. 27.

    Alamino, V. A., Montesinos, M. M., Rabinovich, G. A. & Pellizas, C. G. The thyroid hormone triiodothyronine reinvigorates dendritic cells and potentiates anti-tumor immunity. OncoImmunology 5, e1064579 (2016).

    CAS  Article  PubMed Central  Google Scholar 

  28. 28.

    Flynn, A., Chokkalingam Mani, B. & Mather, P. J. Sepsis-induced cardiomyopathy: a review of pathophysiologic mechanisms. Heart failure reviews 15, 605–611 (2010).

    Article  PubMed Central  Google Scholar 

  29. 29.

    Kumar, A. et al. Human serum from patients with septic shock activates transcription factors STAT1, IRF1, and NF-kappaB and induces apoptosis in human cardiac myocytes. The Journal of biological chemistry 280, 42619–42626 (2005).

    CAS  Article  PubMed Central  Google Scholar 

  30. 30.

    Exline, M. C. & Crouser, E. D. Mitochondrial mechanisms of sepsis-induced organ failure. Frontiers in bioscience: a journal and virtual library 13, 5030–5041 (2008).

    CAS  Google Scholar 

  31. 31.

    Celes, M. R. N. et al. Disruption of Calcium Homeostasis in Cardiomyocytes Underlies Cardiac Structural and Functional Changes in Severe Sepsis. Plos One 8, e68809 (2013).

    ADS  CAS  Article  PubMed Central  Google Scholar 

  32. 32.

    Ojamaa, K. Signaling mechanisms in thyroid hormone-induced cardiac hypertrophy. Vascular pharmacology 52, 113–119 (2010).

    CAS  Article  PubMed Central  Google Scholar 

  33. 33.

    Iervasi, G. & Nicolini, G. Thyroid hormone and cardiovascular system: from basic concepts to clinical application. Internal and emergency medicine 8 Suppl 1, S71–74 (2013).

    Article  PubMed Central  Google Scholar 

  34. 34.

    Dulchavsky, S. A., Ksenzenko, S. M., Saba, A. A. & Diebel, L. N. Triiodothyronine (Tsub 3) Supplementation Maintains Surfactant Biochemical Integrity during Sepsis. Journal of Trauma and Acute Care Surgery 39, 53–58 (1995).

    CAS  Article  Google Scholar 

  35. 35.

    Gustot, T. Multiple organ failure in sepsis: prognosis and role of systemic inflammatory response. Current opinion in critical care 17, 153–159 (2011).

    Article  PubMed Central  Google Scholar 

  36. 36.

    Economidou, F., Douka, E., Tzanela, M., Nanas, S. & Kotanidou, A. Thyroid function during critical illness. Hormones (Athens, Greece) 10, 117–124 (2011).

    Article  Google Scholar 

  37. 37.

    De Jongh, F. E., Jobsis, A. C. & Elte, J. W. Thyroid morphology in lethal non-thyroidal illness: a post-mortem study. Eur J Endocrinol 144, 221–226 (2001).

    Article  PubMed Central  Google Scholar 

  38. 38.

    Stroup, D. F. et al. Meta-analysis of observational studies in epidemiology: A proposal for reporting. JAMA 283, 2008–2012 (2000).

    CAS  Article  Google Scholar 

  39. 39.

    Liberati, A. et al. The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration. PLOS Medicine 6, e1000100 (2009).

    Article  PubMed Central  Google Scholar 

  40. 40.

    Hayden, J. A., van der Windt, D. A., Cartwright, J. L., Cote, P. & Bombardier, C. Assessing bias in studies of prognostic factors. Annals of internal medicine 158, 280–286 (2013).

    Article  PubMed Central  Google Scholar 

  41. 41.

    DerSimonian, R. & Laird, N. Meta-analysis in clinical trials. Controlled clinical trials 7, 177–188 (1986).

    CAS  Article  PubMed Central  Google Scholar 

  42. 42.

    Higgins, J. P. T. Cochrane handbook for systematic reviews of interventions. (2011).

  43. 43.

    Higgins, J. P. & Thompson, S. G. Quantifying heterogeneity in a meta-analysis. Statistics in medicine 21, 1539–1558 (2002).

    Article  PubMed Central  Google Scholar 

  44. 44.

    Peeters, R. P. et al. Serum 3,3′,5′-triiodothyronine (rT3) and 3,5,3′-triiodothyronine/rT3 are prognostic markers in critically ill patients and are associated with postmortem tissue deiodinase activities. The Journal of clinical endocrinology and metabolism 90, 4559–4565 (2005).

    CAS  Article  PubMed Central  Google Scholar 

  45. 45.

    Plikat, K. et al. Frequency and outcome of patients with nonthyroidal illness syndrome in a medical intensive care unit. Metabolism: clinical and experimental 56, 239–244 (2007).

    CAS  Article  Google Scholar 

  46. 46.

    Rothwell, P. M., Udwadia, Z. F. & Lawler, P. G. Thyrotropin concentration predicts outcome in critical illness. Anaesthesia 48, 373–376 (1993).

    CAS  Article  PubMed Central  Google Scholar 

  47. 47.

    Annane, D., Bellissant, E. & Cavaillon, J. M. Septic shock. Lancet (London, England) 365, 63–78 (2005).

    CAS  Article  Google Scholar 

  48. 48.

    Simons, R. J., Simon, J. M., Demers, L. M. & Santen, R. J. Thyroid dysfunction in elderly hospitalized patients. Effect of age and severity of illness. Archives of internal medicine 150, 1249–1253 (1990).

    CAS  Article  PubMed Central  Google Scholar 

  49. 49.

    Iglesias, P. et al. Alterations in thyroid function tests in aged hospitalized patients: prevalence, aetiology and clinical outcome. Clin Endocrinol (Oxf) 70, 961–967 (2009).

    CAS  Article  Google Scholar 

Download references

Author information




J. Kim, H. Shin, J. Lee and W. Kim conceived the study, and designed the review. B.H. Jang, T.H. Lim, M.K. Na and J. Kim performed the searches and screened studies for eligibility. W. Kim, Y. Cho, C. Ahn and K.-S. Choi assessed the quality of the papers and performed statistical analysis. J. Kim and H. Shin drafted the manuscript, and J. Lee, J. Kim, M.K. Na, and B.H. Jang contributed substantially to its revision. W. Kim takes responsibility for the paper as a whole.

Corresponding author

Correspondence to Wonhee Kim.

Ethics declarations

Competing Interests

The authors declare no competing interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kim, J.G., Shin, H., Kim, W. et al. The Value of Decreased Thyroid Hormone for Predicting Mortality in Adult Septic Patients: A Systematic Review and Meta-Analysis. Sci Rep 8, 14137 (2018).

Download citation


  • Adult Septic Patients
  • Decreased Thyroid Function
  • Study Inclusion
  • Sepsis
  • Serum TH Levels

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing