Literature DB >> 25238120

Accurate estimation of energy requirements of young patients.

Andrea Carpenter1, Paul Pencharz, Marialena Mouzaki.   

Abstract

The provision of optimal nutritional care is based on accurate estimations of patients' resting energy expenditure. The latter can be calculated with the use of predictive equations or measured with indirect calorimetry (IC). Owing to their ease of use, mathematical equations have largely replaced IC in clinical practice. This article examines the limitations and predictive inaccuracy of commonly used equations in pediatrics, which may contribute to the provision of poor nutritional care and directly affect patient outcomes. In addition, the role of IC is discussed and the physiology of nutrient metabolism, in terms of energy expenditure, is reviewed.

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Year:  2015        PMID: 25238120     DOI: 10.1097/MPG.0000000000000572

Source DB:  PubMed          Journal:  J Pediatr Gastroenterol Nutr        ISSN: 0277-2116            Impact factor:   2.839


  7 in total

Review 1.  Nutritional management in the critically ill child with acute kidney injury: a review.

Authors:  Sidharth Kumar Sethi; Norma Maxvold; Timothy Bunchman; Pranaw Jha; Vijay Kher; Rupesh Raina
Journal:  Pediatr Nephrol       Date:  2016-06-20       Impact factor: 3.714

2.  Evaluating the predictive factors of resting energy expenditure and validating predictive equations for Chinese obese children.

Authors:  Lin Zhang; Ran Chen; Rong Li; Meng-Ying Chen; Rong Huang; Xiao-Nan Li
Journal:  World J Pediatr       Date:  2018-03-07       Impact factor: 2.764

3.  Growth failure in focal dermal hypoplasia.

Authors:  Stephanie C Hsu; Sarah Bartz; Laura Pyle; Mary Fete; Shanlee Davis; Rebecca Ohman-Hanson; Timothy J Fete; Kathleen J Motil
Journal:  Am J Med Genet A       Date:  2019-01-28       Impact factor: 2.802

4.  Validity of predictive equations to estimate RMR in females with varying BMI.

Authors:  George Thom; Konstantinos Gerasimidis; Eleni Rizou; Hani Alfheeaid; Nick Barwell; Eirini Manthou; Sadia Fatima; Jason M R Gill; Michael E J Lean; Dalia Malkova
Journal:  J Nutr Sci       Date:  2020-05-26

5.  A Comparative Analysis of Equations to Estimate Patient Energy Requirements Following Cardiopulmonary Bypass for Correction of Congenital Heart Disease.

Authors:  Natalie Roebuck; Chun-Po Steve Fan; Alejandro Floh; Zena Leah Harris; Mjaye L Mazwi
Journal:  JPEN J Parenter Enteral Nutr       Date:  2019-06-17       Impact factor: 4.016

6.  Resting Energy Expenditure and Related Factors in 6- to 9-Year-Old Southern African Children of Diverse Population Groups.

Authors:  Adeline Pretorius; Paola Wood; Piet Becker; Friedeburg Wenhold
Journal:  Nutrients       Date:  2021-06-09       Impact factor: 5.717

7.  Prediction of Resting Energy Expenditure in Children: May Artificial Neural Networks Improve Our Accuracy?

Authors:  Valentina De Cosmi; Alessandra Mazzocchi; Gregorio Paolo Milani; Edoardo Calderini; Silvia Scaglioni; Silvia Bettocchi; Veronica D'Oria; Thomas Langer; Giulia C I Spolidoro; Ludovica Leone; Alberto Battezzati; Simona Bertoli; Alessandro Leone; Ramona Silvana De Amicis; Andrea Foppiani; Carlo Agostoni; Enzo Grossi
Journal:  J Clin Med       Date:  2020-04-05       Impact factor: 4.241

  7 in total

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