{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T08:16:50Z","timestamp":1787991410181,"version":"build-2784847793"},"reference-count":34,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T00:00:00Z","timestamp":1786060800000},"content-version":"vor","delay-in-days":6,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100004844","name":"National Cheng Kung University Hospital","doi-asserted-by":"publisher","award":["NCKUH\u2010V101\u201010"],"award-info":[{"award-number":["NCKUH\u2010V101\u201010"]}],"id":[{"id":"10.13039\/501100004844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004844","name":"National Cheng Kung University Hospital","doi-asserted-by":"publisher","award":["NCKUH\u201011307007"],"award-info":[{"award-number":["NCKUH\u201011307007"]}],"id":[{"id":"10.13039\/501100004844","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004844","name":"National Cheng Kung University Hospital","doi-asserted-by":"publisher","award":["NCKUH\u201011407001"],"award-info":[{"award-number":["NCKUH\u201011407001"]}],"id":[{"id":"10.13039\/501100004844","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Geriatrics Gerontology Int"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>While the Clinical Frailty Scale (CFS) is intuitive for clinical use, its reliance on clinician interviews limits its feasibility for large\u2010scale population monitoring. The claims\u2010based multimorbidity frailty index\u2010version 10 (mFI\u2010v10) is highly scalable but has not been directly linked to the CFS standard. This study aimed to develop a model to translate mFI\u2010v10 scores into clinically interpretable CFS categories.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this study, 1038 individuals aged \u2265\u200965\u2009years were recruited from a tertiary medical center between January 2020 and December 2021. They underwent assessments including the CFS, cognitive function, mood, physical health, and quality of life. The mFI\u2010v10 score was calculated from electronic medical records. Logistic regression with 5\u2010fold cross\u2010validation was used to develop a prediction model for moderate\u2010to\u2010severe frailty, adjusting for age and sex. Model performance was evaluated using accuracy, sensitivity, specificity, precision, the F1\u2010score, and the area under the receiver operating characteristic curve (AUC\u2010ROC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among the 1038 participants, 331 (32%) had moderate\u2010to\u2010severe frailty. The mean age of the individuals with moderate\u2010to\u2010severe frailty was 83.31\u2009years (SD, 7.32), and 40% were male. The mFI\u2010v10 showed moderate positive correlations with the CFS (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.42) and Charlson Comorbidity Index (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.57), and a negative correlation with ADL functional independence (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u2009\u22120.46). The prediction model incorporating mFI\u2010v10 score, age, and sex demonstrated good discriminative ability with a mean AUC\u2010ROC of 76.5% (range: 70.7%\u201382.6%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The mFI\u2010v10 is a valid, scalable surrogate for clinical frailty assessment. This translation framework allows efficient population\u2010level case\u2010finding, prioritizing high\u2010risk older adults for targeted clinical intervention.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ggi.70768","type":"journal-article","created":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T06:41:18Z","timestamp":1786171278000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Bridging Claims\u2010Based and Clinical Frailty Assessment: Translation of the\n                    <scp>mFI<\/scp>\n                    \u2010v10 to the Clinical Frailty Scale"],"prefix":"10.1111","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5046-125X","authenticated-orcid":false,"given":"Chien\u2010Chou","family":"Su","sequence":"first","affiliation":[{"name":"Clinical Innovation and Research Center, National Cheng Kung University Hospital, College of Medicine National Cheng Kung University  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