{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T21:19:38Z","timestamp":1770326378280,"version":"3.49.0"},"reference-count":28,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2016,6,29]],"date-time":"2016-06-29T00:00:00Z","timestamp":1467158400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2016,6,29]],"date-time":"2016-06-29T00:00:00Z","timestamp":1467158400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Parenter Enteral Nutr"],"published-print":{"date-parts":[[2017,9]]},"abstract":"<jats:p><jats:italic>Background and Aims<\/jats:italic>: 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\u2010 and resource\u2010consuming 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). <jats:italic>Methods<\/jats:italic>: 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\u2010Altman analysis with measured BMR as the gold standard. <jats:italic>Results<\/jats:italic>: The average measured BMR was 1272 \u00b1 245 kcal\/d. The most accurate estimations of BMR were obtained using the Harris\u2010Benedict equation (mean bias, 14 kcal\/d [<jats:italic>P<\/jats:italic> = .28]; limits of agreement [LoA], \u2212238 to 266 kcal\/d) and the Johnstone equation (mean bias, \u221216 kcal\/d [<jats:italic>P<\/jats:italic> = .24]; LoA, \u2212285 to 253 kcal\/d). For both equations, 67% of patients had a predicted BMR from 90%\u2013110% All other equations demonstrated a statistically and clinically significant difference between measured and predicted BMR. <jats:italic>Conclusions<\/jats:italic>: The Harris\u2010Benedict and Johnstone equations reliably predict BMR in two\u2010thirds of clinically stable patients with IF on HPN.<\/jats:p>","DOI":"10.1177\/0148607116657648","type":"journal-article","created":{"date-parts":[[2016,6,29]],"date-time":"2016-06-29T23:34:06Z","timestamp":1467243246000},"page":"1139-1145","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":13,"title":["Can We Rely on Predicted Basal Metabolic Rate in Patients With Intestinal Failure on Home Parenteral Nutrition?"],"prefix":"10.1002","volume":"41","author":[{"given":"Anders","family":"Skallerup","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Louis","family":"Nygaard","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S\u00f8ren Schou","family":"Olesen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Vinter\u2010Jensen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marianne","family":"K\u00f8hler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Henrik 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