TY  - JOUR
AU  - Muñoz, Monica A
AU  - Jeon, Nakyung
AU  - Staley, Benjamin
AU  - Henriksen, Carl
AU  - Xu, Dandan
AU  - Weberpals, Janick
AU  - Winterstein, Almut G
TI  - Predicting medication-associated altered mental status in hospitalized patients: Development and validation of a risk model.
JO  - American journal of health system pharmacy
VL  - 76
IS  - 13
SN  - 1535-2900
CY  - Bethesda, Md.
PB  - Soc.
M1  - DKFZ-2019-01814
SP  - 953 - 963
PY  - 2019
AB  - This study presents a medication-associated altered mental status (AMS) risk model for real-time implementation in inpatient electronic health record (EHR) systems.We utilized a retrospective cohort of patients admitted to 2 large hospitals between January 2012 and October 2013. The study population included admitted patients aged ≥18 years with exposure to an AMS risk-inducing medication within the first 5 hospitalization days. AMS events were identified by a measurable mental status change documented in the EHR in conjunction with the administration of an atypical antipsychotic or haloperidol. AMS risk factors and AMS risk-inducing medications were identified from the literature, drug information databases, and expert opinion. We used multivariate logistic regression with a full and backward eliminated set of risk factors to predict AMS. The final model was validated with 100 bootstrap samples.During 194,156 at-risk days for 66,875 admissions, 262 medication-associated AMS events occurred (an event rate of 0.13
LB  - PUB:(DE-HGF)16
C6  - pmid:31361885
DO  - DOI:10.1093/ajhp/zxz119
UR  - https://inrepo02.dkfz.de/record/144361
ER  -