Hyperlactatemia in Critically Ill Children: Modeling Early Recovery Kinetics After Initiation of Extracorporeal

Cheuk C Au1,2, Frederick Vonberg1,3, Matthew Luchette1

  • 1Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA.

Insights

High blood lactate levels in critically ill children on ECMO indicate impaired lactate clearance. Mathematical modeling revealed that severe impairment of lactate clearance, not increased production, drives elevated lactate during critical illness.

Area of Science:

  • Pediatric critical care medicine
  • Biomedical engineering
  • Mathematical modeling in medicine

Background:

  • Blood lactate concentration ([Lac]b) is a key indicator of metabolic status in critically ill patients.
  • Extracorporeal membrane oxygenation (ECMO) is a life-support measure for severe cardiopulmonary failure.
  • Observed improvements in [Lac]b after ECMO initiation and vasopressor withdrawal prompted this investigation.

Purpose of the Study:

  • To develop a mathematical model describing blood lactate recovery kinetics in pediatric ECMO patients.
  • To investigate the relationship between peak [Lac]b and parameters of lactate production, transfer, and clearance (Cl[Lac]).

Main Methods:

  • Retrospective analysis of 25 pediatric ECMO patients.
  • Serial [Lac]b measurements during the initial 30 hours of ECMO.
  • Development and application of a one-compartment, bi-exponential kinetic model.

Main Results:

  • Peak [Lac]b at ECMO initiation averaged 16.7 mmol/L.
  • The model estimated initial lactate load at 17.7 mmol/kg and Cl[Lac] at 19.7 mL/min.
  • High initial [Lac]b strongly correlated with severely impaired Cl[Lac], with lactate production and clearance balancing at steady state.

Conclusions:

  • In critically ill children requiring ECMO, elevated initial [Lac]b signifies severely reduced lactate clearance capacity.
  • The developed mathematical model provides insights into lactate kinetics during critical illness.
  • This modeling approach may be valuable for assessing lactate dynamics in various critical care settings.
Abstract

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