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Considerations When Using Predictive Equations to Estimate Energy Needs Among Older, Hospitalized Patients: A
Elizabeth A Parker1, Termeh M Feinberg2, Stephanie Wappel3
1Department of Family & Community Medicine, Center for Integrative Medicine, University of Maryland School of Medicine, 520 W. Lombard Street, Baltimore, MD, USA, (410) 706-6189, eparker@som.umaryland.edu.
Abstract:
The aim of this narrative review was to summarize the accuracy of predictive equations used to estimate energy expenditure in older, hospitalized adults. More than 50% of patients admitted to intensive care units are older adults. Currently accepted prediction equations used to determine energy intake in the older, hospitalized patient were not specifically developed for the aging population. Rates of multimorbidity, polypharmacy and malnutrition, conditions that influence energy expenditure, are higher in older adults compared to younger adults. For these reasons, current equations may not accurately assess energy needs in this population. As the evidence demonstrating the importance of nutritional supplementation in older, hospitalized adults grows, more accurate energy assessment methods that account for age-related conditions are needed to predict nutritional requirements.
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