DOI: 10.1161/circ.148.suppl_1.14482 ISSN: 0009-7322

Abstract 14482: Low Utilization of Guideline-Recommended Genetic and Pharmacogenetic Testing Among Patients With Cardiovascular Conditions in the United States (US)

Brady DeHart, Pamela Morin, Jamie Tucker, Scott Spencer, Bela Bapat, Kalliopi Trachana, Damon Hostin, Brock Schroeder, John Belmont, MD,PhD
  • Physiology (medical)
  • Cardiology and Cardiovascular Medicine

Introduction: Cardiovascular disease (CVD) continues to be the leading cause of death in the US and globally. Clinical practice guidelines recommend genetic testing for the diagnosis of select CVDs to improve disease management, reduce incidence of cardiac events, and positively impact major cardiac adverse events. Professional guidelines also recommend pharmacogenomic (PGx) testing for patients being prescribed certain medications.

Research Question: What is the utilization of genetic diagnosis and PGx testing in patients with CVD in the US?

Methods: This study used data from the Optum Labs Data Warehouse, composed of de-identified administrative claims data for both commercially insured and Medicare Advantage enrollees to assess rates of genetic testing among adult patients diagnosed with 4 major types of CVD conditions (arrhythmias (N=518,316), familial hypercholesterolemia (FH) (N=38,068), cardiomyopathies (CM) (N=74,597), and aortopathies (N=58,316)) and PGx testing rates in patients prescribed CVD medications with PGx test recommendations (per CPIC guidelines) between January 1, 2017 to December 31, 2021. Patients were required to have ≥12 months of continuous enrollment prior (baseline) to diagnosis (index date) and ≥12 months post-index period unless they died (follow-up). Genetic and PGx testing was captured using Current Procedural Terminology (CPT®) codes in both baseline and follow-up periods.

Results: Low genetic testing utilization was found across the 4 major types of CVD conditions. Genetic testing rates were 1.3% in the arrythmia cohort, 1.9% in the CM cohort, 2.0% in the aortopathy cohort and 1.9% in the FH cohort. PGx testing rates in patients prescribed with CVD relevant medications were 0.6% (N=2,094/377,111) in the arrhythmia cohort, 0.8% (N=501/60,632) in the CM cohort, 0.7% (N=247/37,344) in the aortopathy cohort, and 1.3% (N=329/25,835) in FH cohort.

Conclusions: Despite clinical practice guidelines, genetic and PGx testing in patients with CVD conditions remains underutilized. Future work will help us understand the barriers to guideline adherence both for genetic diagnosis and PGx testing that could impact clinical management and patient outcomes.

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