Evaluating Lactate and D-Dimer as Mortality Predictors of Paediatric Multiple Organ Dysfunction Syndrome: A

Phuong Minh Nguyen1, Khai Viet Tran1, Hung Viet Phan1

  • 1Department of Paediatrics, Faculty of Medicine, Can Tho University of Medicine and Pharmacy, Can Tho City, Vietnam.

Insights

Lactate and D-dimer effectively predict mortality in paediatric Multiple Organ Dysfunction Syndrome (MODS), especially in low-resource settings. These biomarkers offer valuable insights for improving patient outcomes in critical care.

Area of Science:

  • Pediatric critical care medicine
  • Biomarker research
  • Mortality prediction

Background:

  • Multiple Organ Dysfunction Syndrome (MODS) is a critical condition with high mortality.
  • Limited data exists on mortality prediction in pediatric MODS, particularly in low-middle income countries.
  • This study investigates lactate and D-dimer as potential mortality predictors in pediatric MODS.

Purpose of the Study:

  • To evaluate the mortality predicting capabilities of lactate and D-dimer in pediatric patients with MODS.
  • To assess the combined predictive power of lactate and D-dimer.
  • To determine the utility of these biomarkers in resource-limited settings.

Main Methods:

  • Prospective study of pediatric patients in a Vietnamese PICU (2019-2021).
  • Assessment of lactate and D-dimer concentrations.
  • Receiver operating characteristic (ROC) curves and Hosmer-Lemeshow tests were used to evaluate discriminative ability and calibration.

Main Results:

  • Mortality rate was 63.1% among studied patients.
  • Significantly higher lactate and D-dimer levels were observed in non-survivors (P < 0.001).
  • The combined lactate-D-dimer test showed the highest Area Under the Curve (AUC) of 0.804, indicating strong predictive capability.

Conclusions:

  • Lactate and D-dimer demonstrate significant association with mortality in pediatric MODS.
  • These biomarkers possess good discrimination and calibration abilities.
  • Lactate and D-dimer are valuable predictors in resource-limited settings, potentially improving patient outcomes.
Abstract

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