A formula to predict the resting energy expenditure of hospitalized older adults: a consistency study between the indirect calorimetry measurement and 13 formulas
10.3760/cma.j.issn.0254-9026.2024.12.012
- VernacularTitle:老年住院人群的静息热量预测公式：间接测热法与13种公式预测法的一致性研究
- Author:
Ruiying ZHANG
1
;
Yanyan ZHAO
;
Chenchen NI
;
Ping HOU
;
Lili FAN
;
Ming DONG
;
Li ZHANG
;
Chunmei ZHAO
;
Cong WU
;
Qi ZHOU
;
Wenbin WU
Author Information
1. 衡水市人民医院肾内科，衡水 053000
- Publication Type:Journal Article
- Keywords:
Inpatients;
Rest energy expenditure;
Indirect calorimetry;
Predicted rest energy expenditure
- From:
Chinese Journal of Geriatrics
2024;43(12):1581-1586
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the accuracy of resting energy expenditure(REE)prediction formulas and to develop a new REE prediction formula suitable for hospitalized older adults.Methods:Older adults hospitalized in the Department of Geriatrics from October 1, 2022, to November 31, 2022, were included in the study.The predicted values of REE(pREE)were estimated using 13 commonly employed formulas that incorporate parameters related to resting energy expenditure, such as gender, age, body mass index(BMI), and body weight.Indirect calorimetry measurements(mREE)served as the gold standard for comparison.Group differences between pREE and mREE, the coefficient of concordance( ICC), and accuracy(defined as±10% of the mREE values)were utilized to evaluate the performance of the formulas.The ten-fold cross-validation method was employed to identify valid variables and to construct a new prediction formula.The performance of this new formula was compared to mREE, the Harris-Benedict formula, the European Society of Clinical Nutrition and Metabolism(ESPEN)formula, and the Chinese Society of Clinical Nutrition and Metabolism(CSPEN)formula. Results:A total of 223 hospitalized participants aged 60 to 98 years(mean age 79.5±8.2 years)were included in the study.Among these participants, 49.3%(110 cases)were male, and the prevalence of frailty was approximately 84.3%(188 cases).The median difference between pREE and mREE ranged from 9.1 to 232.1 kcal/d.The predictions from the Harris-Benedict, ESPEN, and CSPEN equations differed significantly from mREE(all P<0.05), with respective accuracies of 30.9%, 31.4%, and 24.7%.A new equation was developed: pREE=794.847+ 8.661×body weight -7.976 × age+ 14.757 ×grip strength+ 5.037 × heart rate, with an ICC of 0.6(95% CI: 0.5-0.7), and the accuracy reached 56.3%. Conclusions:Existing equations demonstrate low accuracy in predicting REE among hospitalized older adults.The newly developed equation shows improved performance compared to previous models and can serve as a reference method for predicting REE in this demographic.
