Literature DB >> 14977280

Harris-Benedict equations do not adequately predict energy requirements in elderly hospitalized African Americans.

Charlene Compher1, Robert Cato, Joan Bader, Bruce Kinosian.   

Abstract

BACKGROUND: Malnutrition, associated with poor outcome in the elderly, may be exacerbated by weight loss during hospitalization. Accurate estimation of energy requirements is important, particularly if predictions are applied to caloric supply. Because data on energy requirements for the elderly are limited, particularly for African-American patients, predictions are commonly made with equations derived from a younger, caucasian, cohort from 80 years ago.
METHOD: To compare measured resting metabolic rate (RMR) in a hospitalized elderly African-American cohort in an urban community hospital during 1998 with Harris-Benedict predictions of basal energy expenditure (BEE). Energy expenditure was measured by a strict protocol with a portable metabolic cart, and height and weight were measured standardly and used to calculate BEE and body mass index (BMI).
RESULTS: In 61 subjects, aged 79.6+/-8.9 years, measured RMR was significantly greater than predicted BEE (p=0.001, t-test). Caloric expenditure averaged 24.7+/-5 kcal/kg/day, but the range was broad (14-39 kcal/kg/day). The BEE prediction was 20.3+/-2.4 kcal/kg/day.
CONCLUSION: In elderly hospitalized African-American patients, the Harris-Benedict equation significantly underestimated energy requirements. Given the link between unintentional weight loss and increased mortality on the one hand and potential clinical complications of overfeeding on the other, measurement of energy expenditure is warranted.

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Year:  2004        PMID: 14977280      PMCID: PMC2594962     

Source DB:  PubMed          Journal:  J Natl Med Assoc        ISSN: 0027-9684            Impact factor:   1.798


  26 in total

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4.  Hepatic dysfunction during hyperalimentation.

Authors:  G F Sheldon; S R Peterson; R Sanders
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Authors:  C L Long; N Schaffel; J W Geiger; W R Schiller; W S Blakemore
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