Key result
Clinical decision support for LQTS linked to ~20% fewer QT-prolonging medications.
Why the study?
Pathogenic variants in KCNH2, KCNQ1, and SCN5A cause most cases of long QT syndrome, motivating clinical decision support to prevent prescribing of QT-prolonging medications in genetically predisposed patients.
Does a clinical decision support module reduce the prescription of QT-prolonging medications in patients with a genetic predisposition to long QT syndrome?
Observational (n=13,777)
Does a clinical decision support module reduce the prescription of QT-prolonging medications in patients with a genetic predisposition to long QT syndrome?
Implementation of a clinical decision support module for patients with a genetic predisposition to long QT syndrome successfully reduced the prescription of potentially harmful QT-prolonging medications.
Aim: Long QT syndrome (LQTS) is an inherited condition that predisposes individuals to prolongation of the QT interval and increased risk for Torsade de Pointes. Pathogenic variants in three genes - KCNH2, KCNQ1 and SCN5A - are responsible for most cases of LQTS, and recent advances in genetic testing have improved knowledge of the disease, increased access to follow-up, and reduced adverse cardiovascular outcomes. Methods: Based around our preemptive genetic screening platform which includes the three long QT genes listed above, we developed and implemented a clinical decision support (CDS) module that alerts prescribers whenever a QT-prolonging medication is ordered for patients with a genetic predisposition to LQTS. Results: Of the 13,777 individuals screened, twenty-seven tested positive for a pathogenic or likely pathogenic variant of KCNH2, KCNQ1 or SCN5A. In a subsequent early evaluation of the CDS and clinical processes, the number of QT-prolonging medications in this cohort decreased by 20% and new QT-prolonging medications were avoided in approximately 1/3 of new prescription orders. Conclusions: While long-term evaluation is needed, early data support the benefit of utilizing CDS in expanded roles, such as drug-gene-disease interactions where rare genetic variants intersect with everyday prescribing.
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Baye et al. (2022) conducted an observational in Long QT syndrome (LQTS) (n=13,777). Clinical decision support (CDS) module was evaluated on Number of QT-prolonging medications and avoidance of new QT-prolonging medications. A clinical decision support module for patients with genetic predisposition to long QT syndrome decreased QT-prolonging medications by 20% and avoided new ones in approximately 1/3 of orders.
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