Assessment of Drug Impact on Laboratory Test Results in Hospital Settings

Victorine P. Muse, Amalie D. Haue, Cristina L. Rodríguez, Alejandro A. Orozco, Jorge H. Biel, Søren Brunak

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Patients experiencing adverse drug events (ADE) from polypharmaceutical regimens present a huge challenge to modern healthcare. While computational efforts may reduce the incidence of these ADEs, current strategies are typically non-generalizable for standard healthcare systems. To address this, we carried out a retrospective study aimed at developing a statistical approach to detect and quantify potential ADEs. The data foundation comprised of almost 2 million patients from two health regions in Denmark and their drug and laboratory data during the years 2011 to 2016. We developed a series of multistate Cox models to compute hazard ratios for changes in laboratory test results before and after drug exposure. By linking the results to data from a drug-drug interaction database, we found that the models showed potential for applications for medical safety agencies and improved efficiency for drug approval pipelines.

Original languageEnglish
JournalPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Volume30
Pages (from-to)360-376
Number of pages17
ISSN2335-6936
DOIs
Publication statusPublished - 2025

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