Literature DB >> 26205222

Predictive Equations Are Inaccurate in the Estimation of the Resting Energy Expenditure of Children With End-Stage Liver Disease.

Andrea Carpenter1, Vicky Lee Ng2,3, Karen Chapman4, Simon C Ling2, Marialena Mouzaki2.   

Abstract

BACKGROUND AND OBJECTIVES: Malnutrition is common in children with end-stage liver disease (ESLD) and is associated with increased morbidity and mortality. The inability to accurately estimate energy needs of these patients may contribute to their poor nutrition status. In clinical practice, predictive equations are used to calculate resting energy expenditure (cREE). The objective of this study is to assess the accuracy of commonly used equations in pediatric patients with ESLD.
METHODS: Retrospective study performed at the Hospital for Sick Children. Clinical, laboratory, and indirect calorimetry data from children listed for liver transplant between February 2013 and December 2014 were reviewed. Calorimetry results were compared with cREE estimated using the Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU), Schofield [weight], and Schofield [weight and height] equations.
RESULTS: Forty-five patients were included in this study. The median age was 9 months, and the most common indication for transplantation was biliary atresia (64%). The Schofield [weight and height], FAO/WHO/UNU, and Schofield [weight] equations were compared with indirect calorimetry and found to have a mean (SD) difference of 48.8 (344.0), 59.3 (229.8), and 206.5 (502.6) kcal/d, respectively. The FAO/WHO/UNU, Schofield [weight], and Schofield [weight and height] equations introduced a mean error of 21%, 38%, and 76%, respectively. The FAO/WHO/UNU equation tended to underestimate, whereas the Schofield equations overestimated the REE.
CONCLUSIONS: Commonly used predictive equations perform poorly in infants and young children with ESLD. Indirect calorimetry should be used when available to guide energy provision, particularly in children who are already malnourished.

Entities:  

Keywords:  cirrhosis; end-stage liver disease; indirect calorimetry; predictive equations; resting energy expenditure

Mesh:

Year:  2016        PMID: 26205222     DOI: 10.1177/0148607115597666

Source DB:  PubMed          Journal:  JPEN J Parenter Enteral Nutr        ISSN: 0148-6071            Impact factor:   4.016


  4 in total

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Authors:  Estella M Alonso; Wen Ye; Kieran Hawthorne; Veena Venkat; Kathleen M Loomes; Cara L Mack; Paula M Hertel; Saul J Karpen; Nanda Kerkar; Jean P Molleston; Karen F Murray; Rene Romero; Philip Rosenthal; Kathleen B Schwarz; Benjamin L Shneider; Frederick J Suchy; Yumirle P Turmelle; Kasper S Wang; Averell H Sherker; Ronald J Sokol; Jorge A Bezerra; John C Magee
Journal:  J Pediatr       Date:  2018-09-21       Impact factor: 4.406

2.  Quantifying energy expenditure in childhood: utility in managing pediatric metabolic disorders.

Authors:  Laura P E Watson; Katherine S Carr; Michelle C Venables; Carlo L Acerini; Greta Lyons; Carla Moran; Peter R Murgatroyd; Krishna Chatterjee
Journal:  Am J Clin Nutr       Date:  2019-11-01       Impact factor: 7.045

3.  Impact of Bacterial Translocation on Sarcopenia in Patients with Decompensated Cirrhosis.

Authors:  Cynthia Tsien; Lilia Antonova; Jose Such; Irma Garcia-Martinez; Florence Wong
Journal:  Nutrients       Date:  2019-10-05       Impact factor: 5.717

4.  Feeding practices in 6-24-month-old children with chronic cholestatic liver diseases: a mixed-method study.

Authors:  Xiao Chen; Jianshe Wang; Yi Lu; Xinbao Xie; Ying Gu; Jos M Latour; Yuxia Zhang
Journal:  BMC Pediatr       Date:  2020-08-24       Impact factor: 2.125

  4 in total

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