A Pharmacogenetic Panel-Based Prediction of the Clinical Outcomes in Elderly Patients with Coronary Artery Disease

Lisha Dong1,2, Shizhao Zhang1,2, Chao Lv1

  • 1Institute of Geriatrics, National Clinical Research Center for Geriatric Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing 100853, China.

Pharmaceutics
|August 29, 2024
PubMed

Insights

Pharmacogenetic testing in elderly coronary artery disease (CAD) patients on polypharmacy revealed that 80.3% had actionable drug-gene pairs. Carrier status predicts clinical outcomes, suggesting pharmacogenetic panel-guided therapy can improve patient results.

Area of Science:

  • Pharmacogenomics
  • Cardiovascular Medicine
  • Geriatrics

Background:

  • Actionable pharmacogenetic variants influencing cardiovascular drug efficacy are known, but their impact on elderly patients with coronary artery disease (CAD) on polypharmacy is unclear.
  • Polypharmacy in elderly CAD patients increases risks of adverse drug reactions and suboptimal therapeutic outcomes.
  • Understanding drug-gene interactions is crucial for optimizing treatment in this vulnerable population.

Purpose of the Study:

  • To investigate the impact of actionable pharmacogenetic variants on clinical outcomes in elderly CAD patients undergoing polypharmacy.
  • To determine the association between drug-gene pairs and major adverse cardiovascular events (MACEs), all-cause mortality, and adverse drug reactions (ADRs).
  • To evaluate the potential of pharmacogenetic panel-guided polypharmacy for improving patient outcomes.

Main Methods:

  • A cohort of 892 elderly patients (mean age 80.7 years) with CAD and polypharmacy was enrolled.
  • Genotyping was performed for 13 variants in 10 pharmacogenes relevant to 12 commonly prescribed CAD drugs.
  • Statistical analyses, including adjusted hazard ratios and Kaplan-Meier survival curves, were used to assess outcomes over a 4-year follow-up period.

Main Results:

  • 80.3% of patients had at least one actionable drug-gene pair requiring a therapeutic drug change.
  • The number of drug-gene pairs was independently associated with a decreased risk of MACEs (aHR: 0.803) and all-cause mortality (aHR: 0.848).
  • An increased risk of ADRs (aHR: 1.170) was observed with more drug-gene pairs, while patients with any drug-gene pair showed a significantly lower risk of MACEs compared to those without (HR: 0.556).

Conclusions:

  • Carrier status of actionable drug-gene pairs is predictive of clinical outcomes in elderly CAD patients on polypharmacy.
  • Implementing preemptive pharmacogenetic panel-guided polypharmacy may enhance clinical outcomes for this patient group.
  • Pharmacogenetic insights are essential for personalized cardiovascular pharmacotherapy in the elderly.

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