Comparison of Resting Energy Expenditure Prediction Methods With Measured Resting Energy Expenditure in Obese, Hospitalized Adults

被引:60
作者
Anderegg, Brent A. [1 ]
Worrall, Cathy [2 ]
Barbour, English [3 ]
Simpson, Kit N. [4 ]
DeLegge, Mark [5 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Div Pharm, Houston, TX 77030 USA
[2] Med Univ S Carolina, Dept Pharm Serv, Charleston, SC 29425 USA
[3] Med Univ S Carolina, Dept Nutr Serv, Charleston, SC 29425 USA
[4] Med Univ S Carolina, Dept Hlth Policy & Adm, Charleston, SC 29425 USA
[5] Med Univ S Carolina, Ctr Digest Dis, Charleston, SC 29425 USA
关键词
resting energy expenditure; indirect calorimetry; specialized nutrition support; obesity; BODY-MASS INDEX; METABOLIC-RATE; PARENTERAL-NUTRITION; MORTALITY; WEIGHT; VALIDATION; OVERWEIGHT; EQUATION;
D O I
10.1177/0148607108327192
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: Several methods are available to estimate caloric needs in hospitalized, obese patients who require specialized nutrition support; however, it is unclear which of these strategies most accurately approximates the caloric needs of this patient population. The purpose of this study was to determine which strategy most accurately predicts resting energy expenditure in this subset of patients. Methods: Patients assessed at high nutrition risk who required specialized nutrition support and met inclusion and exclusion criteria were enrolled in this observational study Adult patients were included if they were admitted to a medical or surgical service with a body mass index >= 30 kg/m(3). Criteria excluding patient enrollment were pregnancy and intolerance or contra indication to indirect calorimetry procedures. Investigators calculated estimations of resting energy expenditure for each patient using variations on the following equations: Harris-Benedict, Mifflin-St. Jeor, Ireton-Jones, 2 1 kcal/kg body weight, and 25 kcal/kg body weight. For nonventilated patients, the MedGem handheld indirect calorimeter was used. For ventilated patients, the metabolic cart was used. The primary endpoint was to identify which estimation strategy calculated energy expenditures to within 10% of measured energy expenditures. Results: The Harris-Benedict equation, using adjusted body weight with a stress factor, most frequently estimated resting energy expenditure to within 10% measured resting energy expenditure at 50% of patients. Conclusion: Measured energy expenditure with indirect calorimetry should be employed when developing nutrition support regimens in obese, hospitalized patients, as estimation strategies are inconsistent and lead to inaccurate predictions of energy expenditure in this patient population. (JPEN J Parenter Enteral Nutr. 2009;33:168-175)
引用
收藏
页码:168 / 175
页数:8
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