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Analysis of Estimation Methods for Resting Metabolic Rate in Critically Ill Adults
Background: Prediction of metabolic rate is an important part of the nutrition assessment of critically ill patients, yet there are limited data regarding the best equation to use to make this prediction. Methods: Standardized indirect calorimetry measurements were made in 202 ventilated, adult crit...
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Published in: | JPEN. Journal of parenteral and enteral nutrition 2009-01, Vol.33 (1), p.27-36 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background: Prediction of metabolic rate is an important part of
the nutrition assessment of critically ill patients, yet there are limited
data regarding the best equation to use to make this prediction.
Methods: Standardized indirect calorimetry measurements were made in
202 ventilated, adult critical care patients, and resting metabolic rate was
calculated using the following equations: Penn State equation, Faisy, Brandi,
Swinamer, Ireton-Jones, Mifflin, Mifflin × 1.25, Harris Benedict, Harris
Benedict × 1.25, Harris Benedict using adjusted weight for obesity, and
each of the adjusted weight versions of Harris Benedict × 1.25. The
subjects were subgrouped by age and obesity status (young nonobese, young
obese, elderly nonobese, elderly obese). Performance of each equation was
assessed using bias, precision, and accuracy rate statistics.
Results: Accuracy rates in the study population ranged from 67% for
the Penn State equation to 18% for the weight-adjusted Harris Benedict
equation (without multiplication). Within subgroups, the highest accuracy rate
was 77% in the elderly nonobese using the Penn State equation and the lowest
was 0% for the weight-adjusted Harris Benedict equation. The Penn State
equation was the only equation that was unbiased and precise across all
subgroups. The obese elderly group was the most difficult to predict.
Therefore, a separate regression was computed for this group: Mifflin(0.71) +
Tmax(85) + Ve(64) – 3085. Conclusions: The Penn State equation
provides the most accurate assessment of metabolic rate in critically ill
patients if indirect calorimetry is unavailable. An alternate form of this
equation for elderly obese patients is presented, but has yet to be
validated. |
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ISSN: | 0148-6071 1941-2444 |
DOI: | 10.1177/0148607108322399 |