TY  - JOUR
AU  - Katzke, Verena
AU  - Bajracharya, Rashmita
AU  - Nasser, Mohamad I
AU  - Schöttker, Ben
AU  - Kaaks, Rudolf
TI  - Number of medically prescribed pharmaceutical agents as predictor of mortality risk: a longitudinal, time-variable analysis in the EPIC-Heidelberg cohort.
JO  - Scientific reports
VL  - 14
IS  - 1
SN  - 2045-2322
CY  - [London]
PB  - Macmillan Publishers Limited, part of Springer Nature
M1  - DKFZ-2024-00029
SP  - 106
PY  - 2024
N1  - #EA:C020#LA:C020#
AB  - 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
LB  - PUB:(DE-HGF)16
C6  - pmid:38167443
DO  - DOI:10.1038/s41598-023-50487-5
UR  - https://inrepo02.dkfz.de/record/286665
ER  -