Synopsis: This retrospective cohort study utilizes the VA Million Veteran Program (MVP) and VA Surgical Quality Improvement Program (VASQIP) to examine the impact of drug-gene interactions on post-surgical outcomes in vascular surgery. Patients with two or more drug-gene interactions experienced longer hospital stays, higher 30-day readmission rates, and increased rates of the composite outcome of stroke, myocardial infarction, or myocardial injury after noncardiac surgery, underscoring the clinical relevance of pharmacogenetic interactions in adverse outcomes.
Summary: Adverse drug reactions, influenced by individual patient variations in drug metabolism, contribute to perioperative morbidity and mortality. Pharmacogenetic (PGx) information, which tailors medication based on a patient’s DNA profile, has been translated into clinical practice for many US FDA approved drugs and contributed to improved outcomes. However, the impact of PGx on vascular surgery patients, who are frequently prescribed drugs with known drug-gene interactions during the perioperative period, remains underexplored.
To address this, the study analyzed genetic data from the MVP and surgical outcomes from the VASQIP for veterans undergoing vascular procedures between January 2011 and December 2022. Patients with documented vascular surgeries and genetic data were included, with drug exposure assessed from 30 days before to 7 days after surgery. Outcomes evaluated included length of stay (LOS), 30-day readmission, a composite outcome (stroke, myocardial infarction, or myocardial injury after noncardiac surgery), and 30-day postoperative mortality. Statistical analyses used mean (SD) for continuous variables, logistic regression for binomial variables, and negative binomial regression for count variables, with all models adjusted for the same covariates.
The study included 10,098 veterans (mean [SD] age, 68.8 [8.3] years; 15.7% Black [self-reported]; 97.9% male) after excluding those with multiple procedures, long-term dialysis, missing baseline eGFR, or incomplete genetic data. Of these, 49.7% had drug-gene interactions, primarily involving proton pump inhibitors (associated gene: CYP2C19), statins (SLCO1B1), and clopidogrel (CYP2C19). For each drug studied, the authors identified patients in the cohort with phenotypes that were actionable: poor, intermediate, rapid, or ultrarapid metabolizers. Patients were stratified by the number of drug-gene interactions (0, 1, 2, or 3+). Compared to those with no interactions, patients with any drug-gene interactions had significantly longer LOS: 0 interactions, 3 (1–6) days; 1 interaction, 3 (1–7) days (P < .001); 2 interactions, 3 (1–7) days (P < .001); 3+ interactions, 4 (2–8) days (P < .001). Both 30-day readmission and composite outcome rates were significantly higher in patients with 2 or 3+ interactions: readmission rates were 17.4% (0 interactions), 17.6% (1 interaction, P = .84), 21.2% (2 interactions, P = .004), and 25.1% (3+ interactions, P < .001); composite outcome rates were 3.5% (0 interactions), 4.1% (1 interaction, P = .24), 5.7% (2 interactions, P = .001), and 5.5% (3+ interactions, P = .02).
Limitations of the study include the predominantly male cohort (97.9%), potential underreporting of events due to unavailable Medicare data, and the study’s focus on pharmacokinetic rather than pharmacodynamic responses or drug-drug interactions. Copy number variants were also not assessed.
Bottom Line: Drug-gene interactions in vascular surgery patients are associated with longer hospital stays, higher readmission rates, and increased cardiovascular morbidity.