Journal Article

DKFZ-2018-01564

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A novel superior medication-based chronic disease score (medCDS) predicted all-cause mortality in independent geriatric cohorts.

Quinzler, R. ; Freitag, M. H. ; Wiese, B. ; Beyer, M. ; Brenner, H.DKFZ* ; Dahlhaus, A. ; Döring, A. ; Freund, T. ; Heier, M. ; Knopf, H. ; Luppa, M. ; Prokein, J. ; Riedel-Heller, S. ; Schäfer, I. ; Scheidt-Nave, C. ; Scherer, M. ; Schöttker, B.DKFZ* ; Szecsenyi, J. ; Thürmann, P. ; van den Bussche, H. ; Gensichen, J. ; Haefeli, W. E.

2019
Elsevier Science Amsterdam [u.a.]

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Please use a persistent id in citations: doi:10.1016/j.jclinepi.2018.09.004

Abstract: 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.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.The final medCDS score had a 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 was 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).A new medication-based chronic disease score (medCDS), which is based on actual treatment standards, predicts mortality of older outpatients significantly better than already existing scores.

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Contributing Institute(s):

1. Klinische Epidemiologie und Alternsforschung (C070)

Research Program(s):

1. 313 - Cancer risk factors and prevention (POF3-313) (POF3-313)

Appears in the scientific report 2019

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Database coverage:
; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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