Resting Energy Expenditure in the Elderly: Systematic Review and Comparison of Equations in an Experimental Population

Nutrients

ClaudiaElena Gafare¹  Daniele Roccon²  Monica Cavion³  Corrado Lanera³  Luca Vedovelli³  Honoria Ocagli³  Danila Azzolina³  Dario Gregori³  Gianluca Piras³  Rozita Soltanmohammadi³  Giulia Lorenzoni³  Silvia Gallipoli⁴ 

[1] Department of Nutrition, University of Buenos Aires and Food and Diet Therapy Service, Acute General Hospital Juan A. Fernandez, Av. Cerviño 3356, Buenos Aires C1425, Argentina;Nursing Home “A. Galvan”, Via Ungheria, 340, Pontelongo, 35029 Padova, Italy;Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, via Loredan 18, 35121 Padova, Italy;ZETA Research Incorporation, via A. Caccia, 8, 34122 Trieste, Italy;

关键词: estimating equations;    energy requirements;    systematic review;    elderly;    predictive equation;    web tool;   

DOI  :  10.3390/nu13020458

来源: DOAJ

【 摘 要 】

Elderly patients are at risk of malnutrition and need an appropriate assessment of energy requirements. Predictive equations are widely used to estimate resting energy expenditure (REE). In the study, we conducted a systematic review of REE predictive equations in the elderly population and compared them in an experimental population. Studies involving subjects older than 65 years of age that evaluated the performance of a predictive equation vs. a gold standard were included. The retrieved equations were then tested on a sample of 88 elderly subjects enrolled in an Italian nursing home to evaluate the agreement among the estimated REEs. The agreement was assessed using the intraclass correlation coefficient (ICC). A web application, equationer, was developed to calculate all the estimated REEs according to the available variables. The review identified 68 studies (210 different equations). The agreement among the equations in our sample was higher for equations with fewer parameters, especially those that included body weight, ICC = 0.75 (95% CI = 0.69–0.81). There is great heterogeneity among REE estimates. Such differences should be considered and evaluated when estimates are applied to particularly fragile populations since the results have the potential to impact the patient’s overall clinical outcome.

【 授权许可】

Unknown