{"title":"Medication Burden and Its Escalation Predict Incidence of Hospital-associated Disability in Older Inpatients: A Prospective Cohort Study.","authors":"Eiji Kose, Hidetaka Wakabayashi, Shinta Nishioka, Takako Nagai, Nao Hashida, Ryo Momosaki","doi":"10.2490/prm.20260056","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Whether medication burden contributes to hospital-associated disability (HAD) in older inpatients remains unclear. We investigated the relationship between medication count and HAD incidence to identify potential pharmacotherapy targets.</p><p><strong>Methods: </strong>This multicenter prospective cohort study used data from a HAD registry collected from 1 February 2023 to 31 March 2025. Eligible patients were aged 70 years or older, admitted to medical wards, received rehabilitation, had hospital stays of 48 h or longer, and were independent in activities of daily living at admission (Katz Index of 6). HAD was defined as a Katz Index less than 6 at discharge. The primary outcome was medication count at admission; the secondary outcome was change in medication count during hospitalization. Multivariable logistic regression models with varying covariate adjustment assessed whether admission medication count and in-hospital change were independently associated with HAD.</p><p><strong>Results: </strong>Among the 206 patients (mean age 80.3 years; 60.7% men), 60 (29.1%) developed HAD. Across the models, the medication counts on admission independently increased the HAD risk [odds ratio (OR), 1.14; 95% confidence interval (CI), 1.01-1.28]. Increased medication count during hospitalization was also associated with HAD development (OR, 1.21; 95% CI, 1.01-1.45), reaching significance in most models. Subgroup analyses showed that a medication count on admission of at least five or at least six increased the HAD risk (OR, 1.89 and 1.93, respectively).</p><p><strong>Conclusions: </strong>Both admission medication count and increase in the in-hospital medication count were associated with HAD development. To prevent HAD development, medication regimens should be optimized, including efforts to reduce unnecessary polypharmacy.</p>","PeriodicalId":74584,"journal":{"name":"Progress in rehabilitation medicine","volume":"11 ","pages":"20260056"},"PeriodicalIF":1.3000,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13661181/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in rehabilitation medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2490/prm.20260056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: Whether medication burden contributes to hospital-associated disability (HAD) in older inpatients remains unclear. We investigated the relationship between medication count and HAD incidence to identify potential pharmacotherapy targets.
Methods: This multicenter prospective cohort study used data from a HAD registry collected from 1 February 2023 to 31 March 2025. Eligible patients were aged 70 years or older, admitted to medical wards, received rehabilitation, had hospital stays of 48 h or longer, and were independent in activities of daily living at admission (Katz Index of 6). HAD was defined as a Katz Index less than 6 at discharge. The primary outcome was medication count at admission; the secondary outcome was change in medication count during hospitalization. Multivariable logistic regression models with varying covariate adjustment assessed whether admission medication count and in-hospital change were independently associated with HAD.
Results: Among the 206 patients (mean age 80.3 years; 60.7% men), 60 (29.1%) developed HAD. Across the models, the medication counts on admission independently increased the HAD risk [odds ratio (OR), 1.14; 95% confidence interval (CI), 1.01-1.28]. Increased medication count during hospitalization was also associated with HAD development (OR, 1.21; 95% CI, 1.01-1.45), reaching significance in most models. Subgroup analyses showed that a medication count on admission of at least five or at least six increased the HAD risk (OR, 1.89 and 1.93, respectively).
Conclusions: Both admission medication count and increase in the in-hospital medication count were associated with HAD development. To prevent HAD development, medication regimens should be optimized, including efforts to reduce unnecessary polypharmacy.