{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,4]],"date-time":"2026-10-04T03:07:55Z","timestamp":1791083275464,"version":"4.1.0"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T00:00:00Z","timestamp":1760486400000},"content-version":"vor","delay-in-days":643,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T00:00:00Z","timestamp":1704931200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"EN Otsuka Pharmaceutical Co., Ltd."}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>This study aimed to determine whether there is a difference in the prognostic value of sarcopenia diagnosed using dual-energy X-ray absorptiometry (DEXA) and that predicted by prediction equations in older patients with heart failure (HF).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>We included 269 patients (aged \u226565 years) who were hospitalized for HF. We used two appendicular skeletal muscle mass (ASM) prediction equations: (i) Anthropometric-ASM, including age, sex, height, and weight, and (ii) Predicted-ASM, including sex, weight, calf circumference, and mid-arm circumference. ASM index (ASMI) was calculated by dividing the sum of the ASM in the extremities by the height squared (kg\/m2). The cut-off values proposed by the Asian Working Group for Sarcopenia 2019 were used to define low ASMI. The prognostic endpoint was all-cause mortality. The median age of the cohort was 83 years [interquartile range (IQR): 75\u201387], and 135 patients (50.2%) were men. Sarcopenia diagnosed according to DEXA, Anthropometric measurements, and Predicted-ASM was observed in 134 (49.8%), 171 (63.6%), and 157 (58.4%) patients, respectively. During the median follow-up period of 690 days (IQR: 459\u2013730), 54 patients (19.9%) died. DEXA-sarcopenia [hazard ratio (HR), 2.33; 95% confidence interval (CI), 1.26\u20134.31; P = 0.007] was associated with all-cause mortality after adjusting for pre-existing risk factors, whereas Predicted-sarcopenia (HR, 1.68; 95% CI, 0.87\u20133.25; P = 0.123) and Anthropometric-sarcopenia (HR, 1.64; 95% CI, 0.86\u20133.12; P = 0.132) were not.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Sarcopenia diagnosed using DEXA was associated with poor prognosis in older patients with HF; however, the prediction equations were not.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ehf2.14667","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:12:02Z","timestamp":1705018322000},"page":"914-922","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Sarcopenia Prognosis Using Dual-Energy X-Ray Absorptiometry and Prediction Model in Older Patients with Heart Failure"],"prefix":"10.1093","volume":"11","author":[{"given":"Hiroshi","family":"Saito","sequence":"first","affiliation":[{"name":"Department of Rehabilitation, Kameda Medical Center , Kamogawa, Chiba ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2456-8525","authenticated-orcid":false,"given":"Yuya","family":"Matsue","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine , 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5438-3500","authenticated-orcid":false,"given":"Daichi","family":"Maeda","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine , 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nobuyuki","family":"Kagiyama","sequence":"additional","affiliation":[{"name":"Department of Digital Health and Telemedicine R&D, Juntendo University , Tokyo ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshiko","family":"Endo","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation, Kameda Medical Center , Kamogawa, Chiba ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenji","family":"Yoshioka","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Kameda Medical Center , Kamogawa, Chiba ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akira","family":"Mizukami","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Kameda Medical Center , Kamogawa, Chiba ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tohru","family":"Minamino","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine , 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421 ,","place":["Japan"]},{"name":"Japan Agency for Medical Research and Development-Core Research for Evolutionary Medical Science and Technology (AMED-CREST), Japan Agency for Medical Research and Development , Tokyo 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