Comprehensive Unified Regimen for Eliminating Undiagnosed/Untreated Aortic Valve Stenosis: Algorithm Validation for Identifying Aortic Stenosis and Treatment Disparities
Untreated sAS is prevalent but can be accurately identified at scale using an echocardiogram report-based rules engine. Disparities in the receipt of AVR persist, particularly among women, older adults, and patients with nonprivate insurance coverage. The systematic use of automated algorithmic protocols may facilitate valvular heart disease identification and reduction of treatment disparities.
Authors
- Daniel A. Mitchell (ORCID: https://orcid.org/0000-0003-0936-6212)
- Raj Makkar (ORCID: https://orcid.org/0000-0002-6613-519X)
- Jesse Navarrette
- Joseph E. Ebinger (ORCID: https://orcid.org/0000-0002-0587-1572)
- Dhairya Patel
Institutions
- Cedars-Sinai Medical Center (US)
- Cedars-Sinai Smidt Heart Institute (US)
Publication Details
- Journal
- Structural Heart
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1016/j.shj.2025.100755
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00