Challenge of predicting resting energy expenditure in children undergoing surgery for congenital heart disease

Barbera De Wit1, Rosan Meyer, Ajay Desai

  • 1Paediatric Intensive Care Unit, The Royal Brompton Hospital, London, UK.

Insights

Children with congenital heart disease need more energy after open heart surgery, especially if they had cardiopulmonary bypass or were malnourished. Current equations inaccurately predict their energy needs.

Area of Science:

  • Pediatric cardiology
  • Critical care medicine
  • Nutritional science

Background:

  • Children with congenital heart disease (CHD) often require open heart surgery.
  • Accurate assessment of energy expenditure is crucial for postoperative nutritional management in these vulnerable patients.
  • Current predictive equations for energy expenditure may not be accurate for children with CHD post-surgery.

Purpose of the Study:

  • To identify predictors of energy expenditure in children with CHD before and after open heart surgery.
  • To compare measured resting energy expenditure (REE) with values predicted by existing equations.

Main Methods:

  • Prospective study involving 21 mechanically ventilated children post-CHD surgery.
  • Resting energy expenditure measured using indirect calorimetry.
  • Comparison of measured REE with preoperative/postoperative clinical variables and standard predictive equations (Schofield, WHO, PICU-specific).

Main Results:

  • Mean measured REE was 67.8 kcal/kg/day; most children received inadequate nutrient delivery.
  • Cardiopulmonary bypass significantly increased postoperative REE (73.6 kcal/kg/day vs. 58.3 kcal/kg/day without bypass).
  • Preoperative malnutrition was linked to higher postoperative REE. Measured REE differed significantly from all tested predictive equations (p < .006).

Conclusions:

  • Preoperative nutritional status and the use of cardiopulmonary bypass are key factors influencing postoperative energy expenditure in children with CHD.
  • Existing predictive equations lack the clinical accuracy needed for estimating energy requirements in this population.
Abstract

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