TY - JOUR
T1 - Factors Related to the Assessment of Resting Metabolic Rate in Critically Ill Patients
AU - Frankenfield, David C.
N1 - Publisher Copyright:
© 2018 American Society for Parenteral and Enteral Nutrition
PY - 2019/2
Y1 - 2019/2
N2 - Background: Predicting resting metabolic rate (RMR) in mechanically ventilated, critically ill patients is an important part of the nutrition care in such patients. Methods: RMR and associated clinical data from various studies of mechanically ventilated, critically ill patients were combined, and the impact of body size, age, reason for admission, and sedation level were analyzed along with prediction methods of RMR (the American Society for Parenteral and Enteral Nutrition [ASPEN] standards and the Penn State equation). Results: Among 826 measurements, trauma patients had a higher RMR than surgical and medical patients (2077 ± 290 vs 1987 ± 282 kcal/d; P <.0001). RMR was not different in sedated vs unsedated patients. Wide ranges of weight (27–374 kg) and age (18–95 years) were captured. The relationships between weight and RMR and RMR and age were curvilinear. For weight-based ratio methods of RMR prediction, <50% of predictions were within the range in which they were designed to work. The accuracy of the Penn State equation was better in some weight categories than others. New equations based on a wider range of body weights and ages are presented. Conclusions: Curvilinear functions exist for weight and age in relation to RMR, but extraordinary levels of each are required for the curve to become apparent. The ASPEN energy standards (kcal/kg body weight) fail to predict RMR because the relationship is more complex than a simple ratio. The Penn State equations are better able to model these relationships. The new versions of the equation presented here await validation.
AB - Background: Predicting resting metabolic rate (RMR) in mechanically ventilated, critically ill patients is an important part of the nutrition care in such patients. Methods: RMR and associated clinical data from various studies of mechanically ventilated, critically ill patients were combined, and the impact of body size, age, reason for admission, and sedation level were analyzed along with prediction methods of RMR (the American Society for Parenteral and Enteral Nutrition [ASPEN] standards and the Penn State equation). Results: Among 826 measurements, trauma patients had a higher RMR than surgical and medical patients (2077 ± 290 vs 1987 ± 282 kcal/d; P <.0001). RMR was not different in sedated vs unsedated patients. Wide ranges of weight (27–374 kg) and age (18–95 years) were captured. The relationships between weight and RMR and RMR and age were curvilinear. For weight-based ratio methods of RMR prediction, <50% of predictions were within the range in which they were designed to work. The accuracy of the Penn State equation was better in some weight categories than others. New equations based on a wider range of body weights and ages are presented. Conclusions: Curvilinear functions exist for weight and age in relation to RMR, but extraordinary levels of each are required for the curve to become apparent. The ASPEN energy standards (kcal/kg body weight) fail to predict RMR because the relationship is more complex than a simple ratio. The Penn State equations are better able to model these relationships. The new versions of the equation presented here await validation.
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U2 - 10.1002/jpen.1484
DO - 10.1002/jpen.1484
M3 - Article
C2 - 30462858
AN - SCOPUS:85056850216
SN - 0148-6071
VL - 43
SP - 234
EP - 244
JO - Journal of Parenteral and Enteral Nutrition
JF - Journal of Parenteral and Enteral Nutrition
IS - 2
ER -