Abstract

Introduction: Professional guidelines support genetic testing (GT) for dilated, hypertrophic, restrictive, arrhythmogenic, and peripartum cardiomyopathy to confirm a diagnosis, guide management, enable clinical trials, and/or allow more informed genetic counseling. Analysis of de-identified data from a commercial laboratory showed that 1 in 4 individuals who had cardiomyopathy GT billed to a national health insurer had a positive result; however, which patients undergo GT is largely unknown. Hypothesis: GT is underutilized in patients with genetic cardiomyopathy. Methods: A retrospective analysis was conducted using commercial and Medicare claims data from the UnitedHealth Group Clinical Discovery Database. The GT-cohort (index: GT dates 1/1/2017-12/31/2020) included patients with 12-months pre-index data including ≥1 ICD-10 codes associated with genetic or unspecified cardiomyopathy and GT Current Procedural Terminology (CPT) code(s). The non-GT cohort (index: outpatient visit dates 1/1/2017-12/31/2020 with 12-month pre-index data) had the same ICD codes, but no GT CPT code. Individuals with a personal and/or family history of cancer were excluded to avoid patients who had GT for cancer. Multivariable logistic regression analysis was performed to examine factors associated with GT. Results: Of 300,127 patients with cardiomyopathy, 3,287 (1.1%) had a GT CPT code. Factors that predicted a higher likelihood of GT (p < 0.05) included being younger, living in an area with a higher education level, commercial insurance, no diagnosis of diabetes or myocardial infarction, diagnosis of mild liver disease, a higher number of outpatient medical and cardiology visits, cardiac-related hospitalizations (shorter length-of-stay), a higher number of 30-day all-cause readmissions, a higher number of cardiomyopathy diagnoses, and except for peripartum, all genetic cardiomyopathy types. Conclusions: Only 1.1% of patients with a cardiomyopathy ICD code had a GT claim. Considering a potential 25% testing yield, a larger portion could have benefited from a genetics guided diagnosis. More research is needed to investigate barriers related to GT and improve our ability to identify those who could benefit from cardiomyopathy genetic testing.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.