%0 Journal Article
%A Katzke, Verena
%A Bajracharya, Rashmita
%A Nasser, Mohamad I
%A Schöttker, Ben
%A Kaaks, Rudolf
%T Number of medically prescribed pharmaceutical agents as predictor of mortality risk: a longitudinal, time-variable analysis in the EPIC-Heidelberg cohort.
%J Scientific reports
%V 14
%N 1
%@ 2045-2322
%C [London]
%I Macmillan Publishers Limited, part of Springer Nature
%M DKFZ-2024-00029
%P 106
%D 2024
%Z #EA:C020#LA:C020#
%X The number of prescribed medications might be used as proxy indicator for general health status, in models to predict mortality risk. To estimate the time-varying association between active pharmaceutical ingredient (API) count and all-cause mortality, we analyzed data from a population cohort in Heidelberg (Germany), including 25,546 participants with information on medication use collected at 3-yearly intervals from baseline recruitment (1994-1998) until end of 2014. A total of 4548 deaths were recorded until May 2019. Time-dependent modeling was used to estimate hazard ratios (HR) and their 95
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:38167443
%R 10.1038/s41598-023-50487-5
%U https://inrepo02.dkfz.de/record/286665