%0 Journal Article
%A Quinzler, R.
%A Freitag, M. H.
%A Wiese, B.
%A Beyer, M.
%A Brenner, H.
%A Dahlhaus, A.
%A Döring, A.
%A Freund, T.
%A Heier, M.
%A Knopf, H.
%A Luppa, M.
%A Prokein, J.
%A Riedel-Heller, S.
%A Schäfer, I.
%A Scheidt-Nave, C.
%A Scherer, M.
%A Schöttker, B.
%A Szecsenyi, J.
%A Thürmann, P.
%A van den Bussche, H.
%A Gensichen, J.
%A Haefeli, W. E.
%T A novel superior medication-based chronic disease score (medCDS) predicted all-cause mortality in independent geriatric cohorts.
%J Journal of clinical epidemiology
%V 105
%@ 0895-4356
%C Amsterdam [u.a.]
%I Elsevier Science
%M DKFZ-2018-01564
%P 112-124
%D 2019
%X 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 
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:30253216
%R 10.1016/j.jclinepi.2018.09.004
%U https://inrepo02.dkfz.de/record/137687