{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T13:02:09Z","timestamp":1789995729052,"version":"4.0.1"},"reference-count":35,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,9,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Falls are a major cause of morbidity among older adults. While deprescribing fall-risk-increasing drugs (FRIDs) is recommended for secondary prevention, their high prevalence limits efficient targeting in primary prevention. Stratification by pharmacological FRID subclasses or drugs with fall-risk-increasing adverse reactions (FRIAR-drugs) may improve identification of high-risk patients, yet its added value in routine care is uncertain.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To compare pharmacological FRID classifications with a FRIAR-based framework for predicting fall-related hospitalisations and to identify drug subgroups that differentiate fall-risk among exposed older adults in a primary prevention context.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a retrospective cohort study including 120 867 adults aged \u226565\u00a0years prescribed at least one FRID or FRIAR-drug at baseline. Fall-related hospitalisations in 2019 were identified using International Classification of Diseases, 10th Revision (ICD-10) codes. Multivariate logistic regression evaluated pharmacological FRID (sub)groups and FRIAR-drug classifications, adjusted for established general predictors. Model performance was assessed using internal validation and sensitivity analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>During follow-up, 2788 individuals (2.3%) experienced a fall-related hospitalisation. Pharmacological subgroups associated with higher risk included serotonin reuptake inhibitors, older antiepileptics and drugs with moderate anticholinergic properties. In contrast, the FRIAR-drug framework added little prognostic information beyond established FRID classifications. The final model demonstrated moderate discrimination (Area under the curve (AUC) 0.73) with stable predictive performance on internal validation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Pharmacological stratification of FRIDs allows clinically useful differentiation of fall-risk among exposed older adults, whereas FRIAR-based classification adds limited prognostic value. These findings support more selective prioritisation of medication review in primary-preventive fall strategies, although external validation and evaluation of decision-relevant risk stratification are required.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ageing\/afag280","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T12:06:36Z","timestamp":1789473996000},"source":"Crossref","is-referenced-by-count":0,"title":["Pharmacological stratification of fall-risk-increasing drugs for prevention of fall-related injuries in older adults: a population-based cohort study"],"prefix":"10.1093","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0861-5085","authenticated-orcid":false,"given":"Miriam","family":"Schechner","sequence":"first","affiliation":[{"name":"Institute of General Practice and Family Medicine, LMU University Hospital , Nussbaumstra\u00dfe 5, Munich 80336, Bavaria ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marietta","family":"Rottenkolber","sequence":"additional","affiliation":[{"name":"Institute of General Practice and Family Medicine, LMU University Hospital , Nussbaumstra\u00dfe 5, Munich 80336, Bavaria ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Oehler","sequence":"additional","affiliation":[{"name":"Institute of General Practice and Family Medicine, LMU University Hospital , Nussbaumstra\u00dfe 5, Munich 80336, Bavaria ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4191-4880","authenticated-orcid":false,"given":"Bruce","family":"Guthrie","sequence":"additional","affiliation":[{"name":"Advanced Care Research Centre, Usher Institute, University of Edinburgh , Edinburgh ,","place":["UK"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva","family":"Grill","sequence":"additional","affiliation":[{"name":"Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich , Munich, Bavaria ,","place":["Germany"]},{"name":"German Center for Vertigo and Balance Disorders, LMU University Hospital , Munich, Bavaria ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabine","family":"Hoffmann","sequence":"additional","affiliation":[{"name":"Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich , Munich, Bavaria ,","place":["Germany"]},{"name":"Department of Statistics, LMU Munich , Munich, Bavaria ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Johannes","family":"Piller","sequence":"additional","affiliation":[{"name":"Munich Center for Machine Learning, LMU Munich , Munich, Bavaria ,","place":["Germany"]},{"name":"Statistical Consulting Unit (StaBLab), LMU Munich , Munich, Bavaria ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5628-8611","authenticated-orcid":false,"given":"Andreas","family":"Bender","sequence":"additional","affiliation":[{"name":"Department of Statistics, LMU Munich , Munich, Bavaria ,","place":["Germany"]},{"name":"Munich Center for Machine Learning, LMU Munich , Munich, Bavaria ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Dreischulte","sequence":"additional","affiliation":[{"name":"Institute of General Practice and Family Medicine, LMU University Hospital , Nussbaumstra\u00dfe 5, Munich 80336, Bavaria ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,9,21]]},"reference":[{"key":"2026092108085077800_ref1","doi-asserted-by":"publisher","first-page":"993","DOI":"10.15585\/mmwr.mm6537a2","article-title":"Falls and fall injuries among adults aged \u226565 years - 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