Coupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT Prolongation.

ABSTRACT:

Background

QT interval-prolonging drug-drug interactions (QT-DDIs) may increase the risk of life-threatening arrhythmia. Despite guidelines for testing from regulatory agencies, these interactions are usually discovered after drugs are marketed and may go undiscovered for years.

Objectives

Using a combination of adverse event reports, electronic health records (EHR), and laboratory experiments, the goal of this study was to develop a data-driven pipeline for discovering QT-DDIs.

Methods

1.8 million adverse event reports were mined for signals indicating a QT-DDI. Using 1.6 million electrocardiogram results from 380,000 patients in our institutional EHR, these putative interactions were either refuted or corroborated. In the laboratory, we used patch-clamp electrophysi

SUBMITTER: Lorberbaum T 

PROVIDER: S-EPMC5082283 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature