INTRODUCTION: Failure to accurately estimate energy requirements may result in underfeeding or overfeeding. In this study, a dedicated multidisciplinary nutrition team measured energy expenditure in critically ill children. METHODS: Steady-state indirect calorimetry was used to obtain measured resting energy expenditure, which was compared with equation-estimated energy expenditure and the total energy intake for each subject. The children's metabolic status was examined in relation to standard clinical characteristics. RESULTS: Sixteen measurements were performed in 14 patients admitted to the multidisciplinary pediatric intensive care unit over a period of 12 months. Mean age of subjects in this cohort was 11.2 years (range 1.6 months to 32 years) and included 7 males and 7 postoperative patients. Altered metabolism was detected in 13 of 14 subjects and in 15 of 16 (94%) measurements. There was no correlation between the metabolic status of subjects and their clinical characteristics. Average daily energy balance was 200 kcal/d (range -518 to +859 kcal/d). Agreement between measured resting energy expenditure and equation-estimated energy expenditure was poor, with mean bias of 72.3 +/- 446 kcal/d (limits of agreement -801.9 to + 946.5 kcal/d). CONCLUSIONS: A disparity was observed between equation-estimated energy expenditure, measured resting energy expenditure, and total energy intake, with a high incidence of underfeeding or overfeeding. A wide range of metabolic alterations were recorded, which could not be accurately predicted using standard clinical characteristics. Targeted indirect calorimetry on high-risk patients selected by a dedicated nutrition team may prevent cumulative excesses and deficits in energy balance.
INTRODUCTION: Failure to accurately estimate energy requirements may result in underfeeding or overfeeding. In this study, a dedicated multidisciplinary nutrition team measured energy expenditure in critically ill children. METHODS: Steady-state indirect calorimetry was used to obtain measured resting energy expenditure, which was compared with equation-estimated energy expenditure and the total energy intake for each subject. The children's metabolic status was examined in relation to standard clinical characteristics. RESULTS: Sixteen measurements were performed in 14 patients admitted to the multidisciplinary pediatric intensive care unit over a period of 12 months. Mean age of subjects in this cohort was 11.2 years (range 1.6 months to 32 years) and included 7 males and 7 postoperative patients. Altered metabolism was detected in 13 of 14 subjects and in 15 of 16 (94%) measurements. There was no correlation between the metabolic status of subjects and their clinical characteristics. Average daily energy balance was 200 kcal/d (range -518 to +859 kcal/d). Agreement between measured resting energy expenditure and equation-estimated energy expenditure was poor, with mean bias of 72.3 +/- 446 kcal/d (limits of agreement -801.9 to + 946.5 kcal/d). CONCLUSIONS: A disparity was observed between equation-estimated energy expenditure, measured resting energy expenditure, and total energy intake, with a high incidence of underfeeding or overfeeding. A wide range of metabolic alterations were recorded, which could not be accurately predicted using standard clinical characteristics. Targeted indirect calorimetry on high-risk patients selected by a dedicated nutrition team may prevent cumulative excesses and deficits in energy balance.
Authors: Nilesh M Mehta; John M Costello; Lori J Bechard; Victor M Johnson; David Zurakowski; Francis X McGowan; Peter C Laussen; Christopher P Duggan Journal: JPEN J Parenter Enteral Nutr Date: 2012-04-26 Impact factor: 4.016
Authors: Nilesh M Mehta; Lori J Bechard; Melanie Dolan; Katelyn Ariagno; Hongyu Jiang; Christopher Duggan Journal: Pediatr Crit Care Med Date: 2011-07 Impact factor: 3.624
Authors: Nilesh M Mehta; Craig D Smallwood; Koen F M Joosten; Jessie M Hulst; Robert C Tasker; Christopher P Duggan Journal: Clin Nutr Date: 2014-02-26 Impact factor: 7.324
Authors: Nilesh M Mehta; Lori J Bechard; Naomi Cahill; Miao Wang; Andrew Day; Christopher P Duggan; Daren K Heyland Journal: Crit Care Med Date: 2012-07 Impact factor: 7.598
Authors: L J Bechard; H A Feldman; R Venick; K Gura; C Gordon; A Sonis; N Mehta; E C Guinan; C Duggan Journal: Bone Marrow Transplant Date: 2012-02-20 Impact factor: 5.483