S D Med 2020 Mar;73(3):112-115
Department of Internal Medicine, University of South Dakota Sanford School of Medicine.
Advancements in clinical informatics and translational genomics are changing the way we practice medicine. Automated decision support currently helps providers adjust prescribing patterns to reduce the likelihood of QT prolongation based upon drug-drug interaction. A similar approach is being explored for drug-gene interaction. Like many adverse drug reactions, QT prolongation can be influenced by variability in genetic factors. However, drug-induced QT prolongation can occur in the absence of any known ion channel gene abnormalities. We therefore review differences between congenital long QT syndrome and drug-induced long QT syndrome, and we underscore the need for decision support that integrates EKG data.
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