Added value of patient and drug related factors to stratify drug-drug interaction alerts for risk of QT prolongation Vrije Universiteit Brussel University of Antwerp
Aims: Many clinical decision support systems trigger warning alerts for drug-drug interactions potentially leading to QT prolongation and torsades de pointes (QT-DDIs). Unfortunately, there is overalerting and underalerting because stratification is only based on a fixed QT-DDI severity level. We aimed to improve QT-DDI alerting by developing and validating a risk prediction model considering patient- and drug-related factors. Methods: We ...