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Predicting Mortality in Tanzanian Children With Sepsis Using Point-of-Care Biomarkers.

Abigail M Sorensen1, Raya Y Mussa2, Scott P Oltman1,3,4

  • 1University of California, San Francisco, San Francisco, California.

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Summary

A new model combining point-of-care biomarkers like procalcitonin (PCT) and clinical signs accurately predicts child sepsis mortality in Tanzania. This tool aids risk stratification in resource-limited settings.

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Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Global Health

Background:

  • Sepsis is a major cause of child mortality globally, especially in resource-limited settings (RLS).
  • Effective risk-stratification tools using accessible data are crucial for pediatric sepsis management in RLS.
  • Tanzanian children with sepsis face a high mortality burden.

Purpose of the Study:

  • To evaluate point-of-care (POC) biomarkers and clinical features for predicting in-hospital mortality in Tanzanian children with sepsis.
  • To develop and validate a predictive model for pediatric sepsis mortality using readily available data.
  • To assess the performance of POC biomarkers, including procalcitonin (PCT), C-reactive protein, ferritin, and lactate.

Main Methods:

  • Prospective observational cohort study of 755 children (28 days-14 years) with sepsis in Dar es Salaam, Tanzania.
  • Evaluation of POC biomarkers (PCT, CRP, ferritin, lactate) and clinical characteristics for association with mortality.
  • Development of predictive models using LASSO regression and assessment of performance via AUC and classification metrics.

Main Results:

  • 19.6% of enrolled children died during hospitalization.
  • Procalcitonin (PCT) and clinical factors (malnutrition, breathing difficulty, altered mental status) were significant predictors of mortality (p<0.001).
  • A multivariable model combining PCT and clinical characteristics achieved high discrimination (AUC 0.87), outperforming individual predictors.

Conclusions:

  • A combined POC biomarker and clinical characteristics model effectively predicts mortality in pediatric sepsis patients in Tanzania.
  • This integrated approach facilitates timely risk stratification and targeted interventions for improved outcomes in RLS.
  • POC biomarkers alongside clinical data offer a promising strategy for managing pediatric sepsis in resource-limited environments.