{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:37:13Z","timestamp":1787017033946,"version":"build-2736575974"},"reference-count":48,"publisher":"BMJ","issue":"11","license":[{"start":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T00:00:00Z","timestamp":1762905600000},"content-version":"unspecified","delay-in-days":11,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000925","name":"National Health and Medical Research Council","doi-asserted-by":"crossref","award":["GNT1151923"],"award-info":[{"award-number":["GNT1151923"]}],"id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2025,10,13]]},"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The Clinical Frailty Scale is an ordinal scale from 1 (very fit) to 9 (terminally ill) commonly used to assess frailty in older patients. It is simple for clinicians to apply and can help identify patients who may benefit from discussions around end-of-life care. We externally validated the Scale to assess its performance for predicting 90-day mortality in a cohort of admitted older patients who had screened positive for being at risk of nearing the end of life.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We used data from a randomised controlled trial assessing a tailored feedback loop for reducing non-beneficial care. Our study included patients aged 75 and above admitted between May 2020 and June 2021 from 3 Australian hospitals. We assessed whether the Scale could be used in a frail population to identify patients who were at risk of short-term mortality. Predictive performance was assessed using the c-statistic, smoothed calibration curves and decision curves. Models were tested for coefficient stability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Our dataset contained 4639 patients and 956 deaths within 90 days. The Clinical Frailty Scale had a c-statistic of 0.62 (95% CI 0.60 to 0.64) or 0.63 (95% CI 0.61 to 0.65) by adding age and transforming the Scale using a cubic spline. Risks were underestimated without a non-linear transformation as scores of 8 and 9 had a higher risk that diverged from a linear association. The net benefit of using the tool was greatest between 5 and 8 on the Scale.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The utility of the Clinical Frailty Scale may be as a flag to encourage clinicians to become more comfortable with discussing ageing and death, rather than as a highly discriminating model to classify patients as high risk or low risk. Statistical uncertainty over mortality should not be a barrier to initiating end-of-life care discussions with frail older patients.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2025-108419","type":"journal-article","created":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T11:25:49Z","timestamp":1762946749000},"page":"e108419","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":4,"title":["Validation of the Clinical Frailty Scale for predicting 90-day mortality in hospitalised older adults screened as at risk of nearing the end of life in Queensland, Australia: a multisite observational study"],"prefix":"10.1136","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3643-4332","authenticated-orcid":false,"given":"Robin","family":"Blythe","sequence":"first","affiliation":[{"name":"Programme in Health Services Research & Population Health, Duke-NUS Medical School, Singapore"},{"name":"Australian 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