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Can We Rely on Predicted Basal Metabolic Rate in Patients With Intestinal Failure on Home Parenteral Nutrition?
Author(s) -
Skallerup Anders,
Nygaard Louis,
Olesen Søren Schou,
VinterJensen Lars,
Køhler Marianne,
Rasmussen Henrik Højgaard
Publication year - 2017
Publication title -
journal of parenteral and enteral nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.935
H-Index - 98
eISSN - 1941-2444
pISSN - 0148-6071
DOI - 10.1177/0148607116657648
Subject(s) - bioelectrical impedance analysis , basal metabolic rate , parenteral nutrition , anthropometry , intestinal failure , short bowel syndrome , medicine , calorimetry , mathematics , limits of agreement , gold standard (test) , resting energy expenditure , gastroenterology , body weight , nuclear medicine , body mass index , physics , thermodynamics
Background and Aims : Intestinal failure (IF) is a serious and common complication of short bowel syndrome with patients depending on parenteral nutrition (PN) support. Effective nutrition management requires an accurate estimation of the patient's basal metabolic rate (BMR) to avoid underfeeding or overfeeding. However, indirect calorimetry, considered the gold standard for BMR assessment, is a time‐ and resource‐consuming procedure. Consequently, several equations for prediction of BMR have been developed in different settings, but their accuracy in patients with IF are yet to be investigated. We evaluated the accuracy of predicted BMR in clinically stable patients with IF dependent on home parenteral nutrition (HPN). Methods : In total, 103 patients with IF were included. We used indirect calorimetry for assessment of BMR and calculated predicted BMR using different equations based on anthropometric and/or bioelectrical impedance parameters. The accuracy of predicted BMR was evaluated using Bland‐Altman analysis with measured BMR as the gold standard. Results : The average measured BMR was 1272 ± 245 kcal/d. The most accurate estimations of BMR were obtained using the Harris‐Benedict equation (mean bias, 14 kcal/d [ P = .28]; limits of agreement [LoA], −238 to 266 kcal/d) and the Johnstone equation (mean bias, −16 kcal/d [ P = .24]; LoA, −285 to 253 kcal/d). For both equations, 67% of patients had a predicted BMR from 90%–110% All other equations demonstrated a statistically and clinically significant difference between measured and predicted BMR. Conclusions : The Harris‐Benedict and Johnstone equations reliably predict BMR in two‐thirds of clinically stable patients with IF on HPN.