Clinical and epidemiological factors related to mortality due to septic shock in a pediatric intensive care unit

Ricardo Rodriguez-Portilla1,2, Herminio R Hernández-Díaz3

  • 1Servicio de Cuidados Intensivos Pediátricos, Hospital Nacional Edgardo Rebagliati Martins.

Insights

In pediatric septic shock, low platelet counts and a pH below 7.1 upon admission are significant predictors of mortality. Early identification of these factors in the pediatric intensive care unit (PICU) is crucial for improving outcomes.

Area of Science:

  • Pediatric Critical Care Medicine
  • Infectious Diseases
  • Hematology

Background:

  • Septic shock is a critical condition in children, leading to high mortality rates.
  • Understanding risk factors for mortality is essential for timely intervention in pediatric intensive care units (PICUs).

Purpose of the Study:

  • To identify clinical and epidemiological factors associated with mortality in pediatric patients diagnosed with septic shock.
  • To analyze predictors of death in children admitted to a PICU with septic shock.

Main Methods:

  • A retrospective comparative case series study was conducted in a PICU in Lima, Peru, from 2018 to 2020.
  • 174 pediatric patients (1 month to 14 years) with septic shock were analyzed, divided into deceased and survivor groups.
  • Logistic regression modeling was used to assess the influence of variables on mortality.

Main Results:

  • The study included 174 patients, with a mortality rate of 29.3% (51 deaths).
  • Factors significantly associated with mortality included older age, oncological disease, low hemoglobin, elevated lactate, low platelet count (≤ 150/μL), and low pH (≤ 7.1).
  • Logistic regression identified pH ≤ 7.1 (OR = 8.95) and platelets ≤ 150/μL (OR = 3.89) as independent predictors of mortality.

Conclusions:

  • A pH ≤ 7.1 and a platelet count ≤ 150 (×103)/μL upon PICU admission are key factors associated with mortality in pediatric septic shock.
  • These findings highlight the importance of monitoring specific biomarkers for risk stratification and management in critically ill children.
Abstract

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