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Can Lactate Clearance Predict Mortality in Critically Ill Children?
Azza A Moustafa1, Abeer S Elhadidi2, Mona A El-Nagar1
1Department of Pediatrics, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
Serial lactate clearance after 6 hours in the pediatric intensive care unit (PICU) predicts mortality in critically ill children. Improved lactate clearance indicates better survival outcomes, unlike initial lactate levels.
Area of Science:
- Pediatric Critical Care Medicine
- Biomarkers in Critical Illness
- Lactate Kinetics
Background:
- Single blood lactate measurements have limited prognostic value in critically ill children.
- Serial lactate monitoring, particularly lactate clearance, may offer superior predictive capabilities.
Purpose of the Study:
- To assess the efficacy of 6-hour lactate clearance post-PICU admission as a mortality predictor in critically ill children.
- To compare the prognostic significance of initial lactate levels versus 6-hour lactate clearance.
Main Methods:
- A prospective observational study involving 76 critically ill children in a pediatric intensive care unit (PICU).
- Arterial blood lactate levels were measured at admission and 6 hours later.
- Lactate clearance was calculated, and patients were stratified into groups based on clearance (positive vs. non-positive).
- Statistical analyses included ROC curves, Kaplan-Meier survival analysis, and multivariate logistic regression.
Main Results:
- Initial lactate levels were a poor predictor of mortality (AUC = 0.519).
- Lactate clearance after 6 hours significantly predicted mortality (AUC = 0.766, p < 0.001).
- Patients with positive lactate clearance demonstrated significantly better survival (p < 0.001).
- Both 6-hour lactate clearance (OR = 0.98) and the Pediatric Index of Mortality 2 (PIM2) score (OR = 4.7) were independent predictors of mortality.
Conclusions:
- Lactate clearance after 6 hours of PICU admission is a valuable and independent predictor of mortality in critically ill children.
- Serial lactate assessment offers greater prognostic insight than single measurements in this population.
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