Use of both quantitative and qualitative methods to improve assessment of resting energy expenditure equation performance in hospitalized adults
| Autor: | David M. Vock, John M. Miles, Jad G Sfeir, Sara R. DiCecco, Kris D. Hammel, Daniel L. Hurley, Lindsay Andrews, Levi Teigen, Kelsey L. Vierow |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Adult Male Calorie Endocrinology Diabetes and Metabolism Rest 030209 endocrinology & metabolism Body Mass Index 03 medical and health sciences 0302 clinical medicine Statistics Medicine Humans Resting energy expenditure Qualitative Research Aged 030109 nutrition & dietetics Nutrition and Dietetics business.industry Harris–Benedict equation Nutritional Requirements Caloric theory Reproducibility of Results Calorimetry Indirect Middle Aged Hospitalization Nutrition Assessment Energy expenditure Evaluation Studies as Topic Cohort Female Basal Metabolism Mean Calorie business Energy Metabolism Qualitative research |
| Zdroj: | Clinical nutrition ESPEN. 24 |
| ISSN: | 2405-4577 |
| Popis: | Summary Objective To introduce the use of qualitative assessment in energy expenditure (EE) equation research to improve the understanding of performance of the equations in the clinical setting. Patients and Methods Hospitalized individuals who had an indirect calorimetry (IC) measurement during their hospital stay from 2010 to 2012 were included in the study (n = 59). An additional 1000 patients hospitalized during this time were used to limit the IC cohort to a more “clinically relevant” BMI range (n = 46). The following estimation equations were assessed: Harris–Benedict, 25 kcal/kg using actual body weight, Mifflin St. Jeor, Ireton-Jones, Penn State, and Owen. Bland–Altman plots with Loess curves were generated to compare estimated basal caloric needs between EE equations and IC values. Results This study found a large amount of variability with all EE equations. As the mean calorie level increased, the Harris Benedict, Mifflin St. Jeor, Penn State, and Owen equations all tended to increasingly under-predict caloric need. Conclusion In a research setting a qualitative assessment of EE equations can provide a more comprehensive understanding of equation performance by complementing traditional quantitative methods. The addition of a Loess curve to the Bland–Altman plot further enhances qualitative assessment. |
| Databáze: | OpenAIRE |
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