{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T23:30:58Z","timestamp":1788305458807,"version":"build-2803163510"},"reference-count":37,"publisher":"Portland Press Ltd.","issue":"4","license":[{"start":{"date-parts":[[2021,3,11]],"date-time":"2021-03-11T00:00:00Z","timestamp":1615420800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["portlandpress.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Background: The purpose of the present study was to explore the association between resting metabolic rate (RMR)\u00a0and protein-energy wasting (PEW)\u00a0risk\u00a0in Chinese hemodialysis patients\u00a0by age and gender subgroup.<\/jats:p>\n               <jats:p>Methods: RMR and body composition (body cell mass (BCM) and fat mass)\u00a0of\u00a0774 patients undergoing hemodialysis were estimated by bio-electrical impedance analysis\u00a0(BIA). Anthropometric data were collected by a standard measurement protocol, and the upper arm muscle circumference (AMC) was calculated. Biochemical nutritional and dialysis parameters were obtained. Linear regression analysis was\u00a0used to analyze the relationship among RMR, body composition and nutritional factors.<\/jats:p>\n               <jats:p>Results: The mean age was\u00a054.96 \u00b1 15.78\u00a0years. RMR level in patients was 1463.0 (1240.5, 1669.0) kcal\/d. In multiple linear regression models, BCM, left calf circumference (LCC), fat mass were\u00a0the determinants\u00a0association with RMR\u00a0(P&amp;lt;0.001). Among the patients in the sample, 133 (17.2%) had been diagnosed with PEW per International Society of Renal Nutrition and Metabolism (ISRNM) criteria\u00a0and 363 (46.9%) were being at risk PEW.\u00a0The area under the receiver-operating characteristic curve (AUC) of RMR for predicting risk\u00a0PEW was greater\u00a0than\u00a0RMR\/BCM and RMR\/body surface area (BSA). When the cutoff of RMR was 1481 kcal\/d it had the higher sensitivity and specificity (82 and 42%), and the AUC was 0.68 in elderly maintenance hemodialysis (MHD) patients (P&amp;lt;0.001).\u00a0After adjustment for potential confounders, lowest RMR\u00a0quartile level\u00a0(&amp;lt;1239)\u00a0increased the risk of PEW (OR = 4.71, 95% CI: 1.33\u201316.64, P=0.016) in all patients.<\/jats:p>\n               <jats:p>Conclusions: Older patients with PEW\u00a0have a lower RMR reduction. RMR and RMR\/BCM\u00a0may play\u00a0the role in objective screening to detect risk\u00a0PEW\u00a0in MHD patients, especially in males.<\/jats:p>","DOI":"10.1042\/bsr20210010","type":"journal-article","created":{"date-parts":[[2021,3,11]],"date-time":"2021-03-11T11:42:16Z","timestamp":1615462936000},"update-policy":"https:\/\/doi.org\/10.1042\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Resting metabolic rate and its adjustments as predictors of risk protein-energy wasting in hemodialysis patients"],"prefix":"10.1042","volume":"41","author":[{"given":"Jingjing","family":"Da","sequence":"first","affiliation":[{"name":"School of Medicine, Guizhou University, Guiyang, China"},{"name":"Renal Division, Department of Medicine, Guizhou Provincial People\u2019s Hospital"},{"name":"NHC Key Laboratory of Pulmonary Immunological Disease, Guizhou Provincial People\u2019s Hospital, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanjun","family":"Long","sequence":"additional","affiliation":[{"name":"Renal Division, Department of Medicine, Guizhou Provincial People\u2019s Hospital"},{"name":"NHC Key Laboratory of Pulmonary Immunological Disease, Guizhou Provincial People\u2019s Hospital, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Li","sequence":"additional","affiliation":[{"name":"Renal Division, Department of Medicine, Guizhou Provincial People\u2019s Hospital"},{"name":"NHC Key Laboratory of Pulmonary Immunological Disease, Guizhou Provincial People\u2019s Hospital, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xia","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Medicine, Guizhou University, Guiyang, China"},{"name":"Renal Division, Department of Medicine, Guizhou Provincial People\u2019s Hospital"},{"name":"NHC Key Laboratory of Pulmonary Immunological Disease, Guizhou Provincial People\u2019s Hospital, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Yuan","sequence":"additional","affiliation":[{"name":"Renal Division, Department of Medicine, Guizhou Provincial People\u2019s Hospital"},{"name":"NHC Key Laboratory of Pulmonary Immunological Disease, Guizhou Provincial People\u2019s Hospital, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8713-1665","authenticated-orcid":false,"given":"Yan","family":"Zha","sequence":"additional","affiliation":[{"name":"Renal Division, Department of Medicine, Guizhou Provincial People\u2019s Hospital"},{"name":"NHC Key Laboratory of Pulmonary Immunological Disease, Guizhou Provincial People\u2019s Hospital, Guiyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"288","published-online":{"date-parts":[[2021,4,30]]},"reference":[{"key":"2021111620413587700_B1","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1093\/ndt\/gfx027","article-title":"The kidney\u2019s role in systemic metabolism-still much to learn","volume":"32","author":"de Boer","year":"2017","journal-title":"Nephrol. 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