Estimated clinical utility of multi-gene pharmacogenetic testing in a retrospective cohort of gynecology patients
Year: 2024
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: This study aimed to estimate the clinical utility of performing multi-gene pharmacogenetic testing on patients undergoing gynecologic surgery/procedure by evaluating the prescribing rate of Clinical Pharmacogenetics Implementation Consortium (CPIC) level A medications and frequency of drug-gene interactions (DGIs). METHODS: The electronic health record was queried for 76 current procedural terminology codes to identify gynecologic surgeries/procedures that occurred between 1 January 2015 to 31 December 2020 in patients with at least one of 152 international classification of disease codes. Prescription data for CPIC level A medications was extracted. Those enrolled in the Penn Medicine Biobank were assessed for DGIs. RESULTS: The cohort consisted of 7798 female patients and 682 were in the biobank. Up to 6 years following their surgery or procedure, 80% were ordered ≥1 CPIC level A medication. Over half (54%) of these medications were ordered within 3 days after their surgery or procedure. The most common CPIC level A medications ordered were ibuprofen (57%) and ondansetron (42%). Overall, 7% of the cohort had ≥1 known or predicted DGI with medications they were prescribed. CONCLUSION: Multi-gene pharmacogenetic testing may be beneficial to gynecologic surgery/procedure patients by assisting clinicians with prescribing postoperative analgesics and future medications.
Source: Pharmacogenomics
Language: English
Subfield: Pharmacology
Domain: Life Sciences
Open Access status: green
Funders: University of Pennsylvania, Regeneron Pharmaceuticals, Georgia Clinical and Translational Science Alliance, University of Pennsylvania Health System, National Institutes of Health, Perelman School of Medicine, University of Pennsylvania, National Human Genome Research Institute, National Center for Advancing Translational Sciences
OpenAlex ID: W4404394182
