The challenge of developing a new predictive formula to estimate energy requirements in ventilated critically ill children

Tools

Meyer, Rosan, Kulinskaya, Elena, Briassoulis, George, Taylor, Rachel M., Cooper, Mehrengise, Pathan, Nazima and Habibi, Parviz (2012) The challenge of developing a new predictive formula to estimate energy requirements in ventilated critically ill children. Nutrition in Clinical Practice, 27 (5). pp. 669-676. ISSN 1941-2452

Full text not available from this repository. (Request a copy)

Abstract

Traditionally, energy requirements have been calculated using predictive equations. These methods have failed to calculate energy expenditure accurately. Routine indirect calorimetry has been suggested, but this method is technically demanding and costly. This study aimed to develop a new predictive equation to estimate energy requirements for critically ill children. This prospective, observational study on ventilated children included patients with an endotracheal tube leak of <10% and fractional inspired oxygen of <60%. An indirect calorimetry energy expenditure measurement was performed and polynomial regression analysis was used to develop new predictive equations. The new formulas were then compared with existing prediction equations. Data from 369 measurements were included in the formula design. Only weight and diagnosis influenced energy expenditure significantly. Three formulas (A, B, C) with an R > 0.8 were developed. When we compared the new formulas with commonly used equations (Schofield, Food and Agriculture Organization/World Health Organization/United Nations University, and White equation), all formulas performed very similar, but the Schofield equation seemed to have the lowest SD. All 3 new pediatric intensive care unit equations have R values of > 0.8; however, the Schofield equation still performed better than other predictive methods in predicting energy expenditure in these patients. Still, none of the predictive equations, including the new equations, predicted energy expenditure within a clinically accepted range, and further research is required, particularly for patients outside the technical scope of indirect calorimetry.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Science > Research Groups > Data Science and Statistics Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	Pure Connector
Date Deposited:	09 Jul 2013 08:52
Last Modified:	10 Jan 2024 01:26
URI:	https://ueaeprints.uea.ac.uk/id/eprint/42496
DOI:	10.1177/0884533612448479

Actions (login required)

View Item