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Prognostic accuracy of SOFA and qSOFA for mortality among children with infection: a meta-analysis

Abstract

Background

Age-adjusted Sequential Organ Failure Assessment (SOFA) and age-adjusted quick SOFA (qSOFA) scores have been developed to predict poor outcomes in children with infection. We investigated the prognostic performance of age-adjusted SOFA and age-adjusted qSOFA scores and compared them with the systemic inflammatory response syndrome (SIRS) criteria for predicting mortality in children with infection.

Methods

A bivariate random-effects regression model was used for synthesis of diagnostic test data.

Results

A total of 14 studies invoing 70,194 participants were included. The pooled sensitivity for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.82 (95% CI, 0.74–0.88), 0.46 (95% CI, 0.22–0.71), and 0.79 (95% CI, 0.66–0.88), respectively. The pooled specificity for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.62 (95% CI, 0.45–0.77), 0.90 (95% CI, 0.66–0.98), and 0.39 (95% CI, 0.26–0.54), respectively. The area under the summary receiver operating characteristic curve (AUSROC) for age-adjusted SOFA, age-adjusted qSOFA, and SIRS were 0.82 (95% CI, 0.79–0.85), 0.66 (95% CI, 0.62–0.70), and 0.64 (95% CI, 0.60–0.68), respectively. Different baseline populations, different SOFA adaptation methods and different cut-offs used for age-adjusted SOFA may be potential sources of heterogeneity.

Conclusions

Age adjusted SOFA score is a useful tool for predicting mortality in children with sepsis/suspected sepsis.

Impact

  • First study to investigate the prognostic performance of age-adjusted sequential organ failure assessment (SOFA) and age adjusted quick SOFA (qSOFA) scores in comparison to the systemic inflammatory response criteria (SIRS) for the prediction of mortality in children with sepsis.

  • The age-adjusted SOFA score predicts poor outcomes with high sensitivity in children with sepsis

  • Low sensitivity limits the utility of age-adjusted qSOFA as a simple predictive tool for adverse outcomes. Developing another enhanced or modified bedside tool with higher sensitivity may be necessary.

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Fig. 1: Flow diagram of study inclusion.
Fig. 2: Methodological quality assessment of included studies based on the QUADAS-2 scale.
Fig. 3: Forest plots of sensitivity and specificity.
Fig. 4: Summary receiver operating characteristic (SROC) curves for predicting mortality in children with suspected infection.

Data availability

All data generated or analyzed during this study are included in this published article [and its supplementary information files].

References

  1. Liu, L. et al. Global, regional, and national causes of under-5 mortality in 2000–15: an updated systematic analysis with implications for the sustainable development goals. Lancet 388, 3027–3035 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  2. Plunkett, A. & Tong, J. Sepsis in children. BMJ 350, h3017 (2015).

    Article  PubMed  Google Scholar 

  3. Goldstein, B., Giroir, B. & Randolph, A. International consensus conference on pediatric, S. International pediatric sepsis consensus conference: definitions for sepsis and organ dysfunction in pediatrics. Pediatr. Crit. Care Med. 6, 2–8 (2005).

    Article  PubMed  Google Scholar 

  4. Fleischmann-Struzek, C. et al. The global burden of paediatric and neonatal sepsis: a systematic review. Lancet Respiratory Med. 6, 223–230 (2018).

    Article  Google Scholar 

  5. Weiss, S. L. et al. Surviving sepsis campaign international guidelines for the management of septic shock and sepsis-associated organ dysfunction in children. Intensive Care Med. 46, 10–67 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Seymour, C. W. et al. Time to treatment and mortality during mandated emergency care for sepsis. N. Engl. J. Med. 376, 2235–2244 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Carcillo, J. A. & Fields, A. I. Clinical practice parameters for hemodynamic support of pediatric and neonatal patients in septic shock. Crit. Care Med. 30, 1365–1378 (2002).

    Article  PubMed  Google Scholar 

  8. Scott, H. F., Deakyne, S. J., Woods, J. M. & Bajaj, L. The prevalence and diagnostic utility of systemic inflammatory response syndrome vital signs in a pediatric emergency department. Acad. Emerg. Med. 22, 381–389 (2015).

    Article  PubMed  Google Scholar 

  9. Nariadhara, M. R., Sawe, H. R., Runyon, M. S., Mwafongo, V. & Murray, B. L. Modified systemic inflammatory response syndrome and provider gestalt predicting adverse outcomes in children under 5 years presenting to an urban emergency department of a tertiary hospital in Tanzania. Trop. Med Health. 47, 13 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Schlapbach, L. J., Straney, L., Bellomo, R., MacLaren, G. & Pilcher, D. Prognostic accuracy of age-adapted sofa, sirs, pelod-2, and Qsofa for in-hospital mortality among children with suspected infection admitted to the intensive care unit. Intensive Care Med. 44, 179–188 (2018).

    Article  PubMed  Google Scholar 

  11. Singer, M. et al. The third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA 315, 801–810 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Seymour, C. W. et al. Assessment of clinical criteria for sepsis: for the third international consensus definitions for sepsis and septic shock (sepsis-3). JAMA 315, 762–774 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Matics, T. J. & Sanchez-Pinto, L. N. Adaptation and validation of a pediatric sequential organ failure assessment score and evaluation of the sepsis-3 definitions in critically Ill children. JAMA Pediatr. 171, e172352 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  14. Jhang, W. K. & Park, S. J. Evaluation of sepsis-induced coagulopathy in critically Ill pediatric patients with septic shock. Thromb. Haemost. 121, 457–463 (2021).

    Article  PubMed  Google Scholar 

  15. Wulandari, A., Pudjiastuti, P. & Martuti, S. Severe sepsis criteria, pelod-2, and psofa as predictors of mortality in critically ill children with sepsis. Paediatrica Indonesiana 59, 318–324 (2019).

    Article  Google Scholar 

  16. Romaine, S. T. et al. Accuracy of a modified qsofa score for predicting critical care admission in febrile children. Pediatrics 146, 4 (2020).

  17. Peters, C., Murthy, S., Brant, R., Kissoon, N. & Gorges, M. Mortality risk using a pediatric quick sequential (sepsis-related) organ failure assessment varies with vital Sign thresholds. Pediatr. Crit. Care Med. 19, e394–e402 (2018).

    Article  PubMed  Google Scholar 

  18. Moher, D., Liberati, A., Tetzlaff, J. & Altman, D. G. Preferred reporting items for systematic reviews and meta-analyses: the prisma statement. Int. J. Surgery 8, 5 (2010).

  19. Leteurtre, S. et al. Pelod-2: an update of the pediatric logistic organ dysfunction score. Crit. Care Med. 41, 1761–1773 (2013).

    Article  PubMed  Google Scholar 

  20. Leteurtre, S. et al. Daily estimation of the severity of organ dysfunctions in critically Ill children by using the Pelod-2 score. Crit. Care 19, 324 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  21. El-Nawawy, A., Mohsen, A. A., Abdel-Malik, M. & Taman, S. O. Performance of the pediatric logistic organ dysfunction (Pelod) and (Pelod-2) scores in a pediatric intensive care unit of a developing country. Eur. J. Pediatr. 176, 849–855 (2017).

    Article  PubMed  Google Scholar 

  22. Gebara, B. M. Values for systolic blood pressure. Pediatr. Crit. Care Med. 6 500, 500–501 (2005).

    Article  Google Scholar 

  23. Whiting, P. F. et al. Quadas-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann. Intern Med. 155, 529–536 (2011).

    Article  PubMed  Google Scholar 

  24. Reitsma, J. B. et al. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J. Clin. Epidemiol. 58, 982–990 (2005).

    Article  PubMed  Google Scholar 

  25. Thompson, S. G. Why Sources of heterogeneity in meta-analysis should be investigated. Bmj 309, 1351–1355 (1994).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Deeks, J. J., Macaskill, P. & Irwig, L. The performance of Tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J. Clin. Epidemiol. 58, 882–893 (2005).

    Article  PubMed  Google Scholar 

  27. Balshem, H. et al. Grade guidelines: 3. Rating the quality of evidence. J. Clin. Epidemiol. 64, 401–406 (2011).

    Article  PubMed  Google Scholar 

  28. Kortz, T. B. et al. Clinical presentation and outcomes among children with sepsis presenting to a public tertiary hospital in Tanzania. Front Pediatr. 5, 278 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lalitha, A. V. et al. Sequential organ failure assessment score as a predictor of outcome in sepsis in pediatric intensive care unit. J. Pediatr. Intensive Care 10, 110–117 (2020).

    PubMed  PubMed Central  Google Scholar 

  30. Li, S. et al. A risk score based on pediatric sequential organ failure assessment predicts 90-day mortality in children with Klebsiella pneumoniae bloodstream infection. BMC Infect. Dis. 20, 916 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Wiens, M. O. et al. Application of sepsis definitions to pediatric patients admitted with suspected infections in Uganda. Pediatr. Crit. Care Med. 17, 400–405 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Wu, Z. et al. Accuracy comparison between age-adapted sofa and sirs in predicting in-hospital mortality of infected children at China’s Picu. Shock 52, 347–352 (2019).

    Article  CAS  PubMed  Google Scholar 

  33. Zhong, M. et al. Day-1 Pelod-2 and Day-1 “Quick” Pelod-2 scores in children with sepsis in the Picu. J. Pediatr. (Rio J.) 96, 660–665 (2020).

    Article  PubMed  Google Scholar 

  34. Liu, R. et al. Prediction of impending septic shock in children with sepsis. Crit. Care Explor 3, e0442 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  35. van Nassau, S. C. et al. Translating sepsis-3 criteria in children: prognostic accuracy of age-adjusted quick sofa score in children visiting the emergency department with suspected bacterial infection. Front Pediatr. 6, 266 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  36. Liu, V. et al. Hospital deaths in patients with sepsis from 2 independent cohorts. JAMA 312, 90–92 (2014).

    Article  CAS  PubMed  Google Scholar 

  37. Song, J. U., Sin, C. K., Park, H. K., Shim, S. R. & Lee, J. Performance of the quick sequential (Sepsis-Related) organ failure assessment score as a prognostic tool in infected patients outside the intensive care unit: a systematic review and meta-analysis. Crit. Care 22, 28 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  38. Brierley, J. et al. Clinical practice parameters for hemodynamic support of pediatric and neonatal septic shock: 2007 update from the American college of critical care medicine. Crit. Care Med. 37, 666–688 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Dinnes, J., Deeks, J., Kirby, J. & Roderick, P. A methodological review of how heterogeneity has been examined in systematic reviews of diagnostic test accuracy. Health Technol. Assess. 9, 1–113 (2005).

    Article  CAS  PubMed  Google Scholar 

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Authors

Contributions

Z.W. is responsible for the conception, data search, data analysis, statistical analyses, data interpretation, writing and revising the manuscript. Y.H. is responsible for inclusion and exclusion of studies, assessment of methodological quality, data extraction, writing and revising the manuscript. X.Z. is responsible for inclusion and exclusion of studies, assessment of methodological quality, data extraction, and statistical analyses. Z.L. is responsible for the supervision and reviewed the manuscript for important intellectual content. All authors approved the manuscript.

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Correspondence to Zhengxiu Luo.

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Wang, Z., He, Y., Zhang, X. et al. Prognostic accuracy of SOFA and qSOFA for mortality among children with infection: a meta-analysis. Pediatr Res 93, 763–771 (2023). https://doi.org/10.1038/s41390-022-02213-6

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