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000137687 0247_ $$2doi$$a10.1016/j.jclinepi.2018.09.004
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000137687 041__ $$aeng
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000137687 1001_ $$aQuinzler, R.$$b0
000137687 245__ $$aA novel superior medication-based chronic disease score (medCDS) predicted all-cause mortality in independent geriatric cohorts.
000137687 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2019
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000137687 520__ $$aOn 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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000137687 7001_ $$aFreitag, M. H.$$b1
000137687 7001_ $$aWiese, B.$$b2
000137687 7001_ $$aBeyer, M.$$b3
000137687 7001_ $$0P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2$$aBrenner, H.$$b4$$udkfz
000137687 7001_ $$aDahlhaus, A.$$b5
000137687 7001_ $$aDöring, A.$$b6
000137687 7001_ $$aFreund, T.$$b7
000137687 7001_ $$aHeier, M.$$b8
000137687 7001_ $$aKnopf, H.$$b9
000137687 7001_ $$aLuppa, M.$$b10
000137687 7001_ $$aProkein, J.$$b11
000137687 7001_ $$aRiedel-Heller, S.$$b12
000137687 7001_ $$aSchäfer, I.$$b13
000137687 7001_ $$aScheidt-Nave, C.$$b14
000137687 7001_ $$aScherer, M.$$b15
000137687 7001_ $$0P:(DE-He78)c67a12496b8aac150c0eef888d808d46$$aSchöttker, B.$$b16$$udkfz
000137687 7001_ $$aSzecsenyi, J.$$b17
000137687 7001_ $$aThürmann, P.$$b18
000137687 7001_ $$avan den Bussche, H.$$b19
000137687 7001_ $$aGensichen, J.$$b20
000137687 7001_ $$aHaefeli, W. E.$$b21
000137687 773__ $$0PERI:(DE-600)1500490-9$$a10.1016/j.jclinepi.2018.09.004$$gp. S0895435618302208$$p112-124$$tJournal of clinical epidemiology$$v105$$x0895-4356$$y2019
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