Cumulative energy imbalance in the pediatric intensive care unit: role of targeted indirect calorimetry.

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.

[1]  C. Duggan,et al.  Severe weight loss and hypermetabolic paroxysmal dysautonomia following hypoxic ischemic brain injury: the role of indirect calorimetry in the intensive care unit. , 2008, JPEN. Journal of parenteral and enteral nutrition.

[2]  N. LeLeiko,et al.  Energy expenditure in critically ill children , 2007, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[3]  D. Chinkes,et al.  Resting energy expenditure in severely burned children: analysis of agreement between indirect calorimetry and prediction equations using the Bland-Altman method. , 2006, Burns : journal of the International Society for Burn Injuries.

[4]  I. Papassotiriou,et al.  Early enteral administration of immunonutrition in critically ill children: results of a blinded randomized controlled clinical trial. , 2005, Nutrition.

[5]  H. Lafeber The art of using indirect calorimetry for nutritional assessment of sick infants and children. , 2005, Nutrition.

[6]  F. Ognibene,et al.  Retrospective Evaluation of Commonly Used Equations to Predict Energy Expenditure in Mechanically Ventilated, Critically Ill Patients , 2004, Pharmacotherapy.

[7]  W. Hop,et al.  The effect of cumulative energy and protein deficiency on anthropometric parameters in a pediatric ICU population. , 2004, Clinical nutrition.

[8]  Clare L Reid,et al.  Nutritional requirements of surgical and critically-ill patients: do we really know what they need? , 2004, The Proceedings of the Nutrition Society.

[9]  M. Oosterveld,et al.  Nutritional support in 111 pediatric intensive care units: a European survey , 2004, Intensive Care Medicine.

[10]  W. Hop,et al.  Malnutrition in critically ill children: from admission to 6 months after discharge. , 2004, Clinical nutrition.

[11]  H. Gilbertson,et al.  Barriers to adequate nutrition in critically ill children. , 2003, Nutrition.

[12]  C. Duggan,et al.  Effectiveness of a clinical practice guideline for parenteral nutrition: a 5-year follow-up study in a pediatric teaching hospital. , 2002, JPEN. Journal of parenteral and enteral nutrition.

[13]  T. Walsh,et al.  Comparison between the Datex-Ohmeda M-COVX metabolic monitor and the Deltatrac II in mechanically ventilated patients , 2002, Intensive Care Medicine.

[14]  J. Dwyer,et al.  Pitfalls in predicting resting energy requirements in critically ill children: a comparison of predictive methods to indirect calorimetry. , 2002, Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition.

[15]  D. Heimburger Physician-nutrition-specialist track: if we build it, will they come? Intersociety Professional Nutrition Education Consortium. , 2000, The American journal of clinical nutrition.

[16]  D. Altman,et al.  Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.

[17]  E. Smith,et al.  Resting energy expenditure and nitrogen balance in critically ill pediatric patients on mechanical ventilation. , 1998, Nutrition.

[18]  L. Matarese Indirect calorimetry: technical aspects. , 1997, Journal of the American Dietetic Association.

[19]  U. Ruttimann,et al.  PRISM III: an updated Pediatric Risk of Mortality score. , 1996, Critical care medicine.

[20]  M. Goran,et al.  Determinants of resting energy expenditure in young children. , 1994, The Journal of pediatrics.

[21]  A. Board Guidelines for the use of parenteral and enteral nutrition in adult and pediatric patients. American Society for Parenteral and Enteral Nutrition. , 1993, JPEN. Journal of parenteral and enteral nutrition.

[22]  Richard L. Jones,et al.  Predictive equation for assessing energy expenditure in mechanically ventilated critically ill patients. , 1990, Critical care medicine.

[23]  H. Bruining,et al.  Day-to-day variability of energy expenditure in critically ill surgical patients. , 1989, Critical care medicine.

[24]  G. Blackburn,et al.  Resting energy expenditure in the critically ill: Estimations versus measurement , 1988, The British journal of surgery.

[25]  J. Kinney,et al.  Resting Metabolic Rate of the Critically Ill Patient: Measured versus Predicted , 1986, Anesthesiology.

[26]  S B Heymsfield,et al.  Human energy requirements: overestimation by widely used prediction equation. , 1985, The American journal of clinical nutrition.

[27]  J. S. Wiley,et al.  Nutritional depletions in critically ill children: associations with physiologic instability and increased quantity of care. , 1985, JPEN. Journal of parenteral and enteral nutrition.

[28]  Seashore Jh Nutritional support of children in the intensive care unit. , 1984 .

[29]  J. B. Weir New methods for calculating metabolic rate with special reference to protein metabolism , 1949, The Journal of physiology.

[30]  F. G. Benedict,et al.  A Biometric Study of Human Basal Metabolism. , 1918, Proceedings of the National Academy of Sciences of the United States of America.

[31]  V. Geukers Aspects of protein metabolism in children in acute and chronic illness , 2014 .

[32]  J. Taddei,et al.  Outcomes in a pediatric intensive care unit before and after the implementation of a nutrition support team. , 2005, JPEN. Journal of parenteral and enteral nutrition.

[33]  Leah Gramlich,et al.  Canadian clinical practice guidelines for nutrition support in mechanically ventilated, critically ill adult patients. , 2003, JPEN. Journal of parenteral and enteral nutrition.

[34]  A. Day,et al.  Nutrition support in the critical care setting: current practice in canadian ICUs--opportunities for improvement? , 2003, JPEN. Journal of parenteral and enteral nutrition.

[35]  S. McClave,et al.  Clinical use of the respiratory quotient obtained from indirect calorimetry. , 2003, JPEN. Journal of parenteral and enteral nutrition.

[36]  M. Heitkemper,et al.  Guidelines for the use of parenteral and enteral nutrition in adult and pediatric patients. , 2002, JPEN. Journal of parenteral and enteral nutrition.

[37]  E. Smith,et al.  Resting energy expenditure in children in a pediatric intensive care unit: comparison of Harris-Benedict and Talbot predictions with indirect calorimetry values. , 1998, The American journal of clinical nutrition.

[38]  AARC clinical practice guideline. Metabolic measurement using indirect calorimetry during mechanical ventilation. American Association for Respiratory Care. , 1994, Respiratory care.

[39]  Joint Fao,et al.  Energy and protein requirements. Report of a joint FAO/WHO/UNU Expert Consultation. , 1985, World Health Organization technical report series.

[40]  W. Schofield Predicting basal metabolic rate, new standards and review of previous work. , 1985, Human nutrition. Clinical nutrition.

[41]  Schofield Wn,et al.  Predicting basal metabolic rate, new standards and review of previous work , 1985 .

[42]  J. Seashore Nutritional support of children in the intensive care unit. , 1984, The Yale journal of biology and medicine.

[43]  J. S. Wiley,et al.  Malnutrition in critically ill infants and children. , 1982, JPEN. Journal of parenteral and enteral nutrition.

[44]  J. S. Wiley,et al.  Malnutrition in Critically III Infants and Children , 1982 .