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A novel superior medication-based chronic disease score predicted all-cause mortality in independent geriatric cohorts.

J. Clin. Epidemiol. 105, 112-124 (2019)
Postprint online available 10/2019 Open Access Green as soon as is submitted to ZB.
Objectives: On the basis of current treatment guidelines, we developed and validated a medication-based chronic disease score (medCDS) and tested its association with all-cause mortality of older outpatients.Study Design and Setting: Considering the most prevalent chronic diseases in the elderly German population, we compiled a list of evidence-based medicines used to treat these disorders. Based on this list, a score (medCDS) was developed to predict mortality using data of a large longitudinal cohort of older outpatients (training sample; MultiCare Cohort Study). By assessing receiver-operating characteristics (ROC) curves, the performance of medCDS was then confirmed in independent cohorts (ESTHER, KORA-Age) of community-dwelling older patients and compared with already existing medication-based scores and a score using selected anatomical-therapeutic-chemical (ATC) codes.Results: The final medCDS score had an ROC area under the curve (AUC) of 0.73 (95% CI 0.70-0.76). In the validation cohorts, its ROC AUCs were 0.79 (0.76-0.82, KORA-Age) and 0.74 (0.71-0.78, ESTHER), which were superior to already existing medication-based scores (RxRisk, CDS) and scores based on pharmacological ATC code subgroups (ATC3) or age and sex alone (Age&Sex).Conclusions: A new medCDS, which is based on actual treatment standards, predicts mortality of older outpatients significantly better than already existing scores. (C) 2018 Elsevier Inc. All rights reserved.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Medication-based Chronic Disease Score ; Multimorbidity ; Risk Assessment ; Mortality ; Elderly; Health-care Utilization; Comorbidity Scores; Heart-failure; Risk; Multimorbidity; Prevalence; Quality; Metaanalysis; Performance; Population
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