LB051 - ENERGY EXPENDITURE AT REST BY CALORIMETRY AND CORRELATION BETWEEN PREDICTIVE EQUATIONS IN PATIENTS OF THE INTENSIVE CARE UNIT.

LB051

ENERGY EXPENDITURE AT REST BY CALORIMETRY AND CORRELATION BETWEEN PREDICTIVE EQUATIONS IN PATIENTS OF THE INTENSIVE CARE UNIT.

M. A. Juan^1,*, E. P. Cruz¹, K. I. Gomez Alaniz¹, J. J. G. Espinoza¹

¹Soporte Nutricio, Hospital Juarez de Mexico, CDMX, Mexico

Rationale: To assess resting energy expenditure (REE) and determine compensation using predictive equations in intensive care unit (ICU) patients.

Methods: Individual measurements of weight, height, and body mass index were taken, and severity scales such as APACHE II, SOFA, and SAPS were applied. Energy expenditure was determined by indirect calorimetry in patients on mechanical ventilation within the first 7 days after admission to the ICU. The predictive equations used were Harris-Benedict and the recommendations from the ESPEN intensive care guidelines (25 kcal/kg/day). Correlation was assessed using Pearson's correlation coefficient.

Results: Thirteen subjects were included, with a mean age of 45 ± 15.7 years; the majority were female (53.8%). The mean BMI was 27.9 ± 6.8 kg/m². The subjects' resting energy expenditure (REE) measured by calorimetry was 2046.6 ± 700.3 kcal with a respiratory quotient (RQ) of 0.9 ± 0.3.

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Conclusion: Measurements were obtained from 13 patients admitted to the ICU, with different diagnoses and all on invasive mechanical ventilation. The Harris-Benedict (HB) equation showed the highest statistically significant correlation with indirect calorimetry, with a p-value of 0.034.

Disclosure of Interest: None declared