Epidemiology of Hypertrophic Cardiomyopathy in the United States From 2016 to 2023

In this administrative claims-based study, the prevalence of HCM from 2016 to 2023 was 1/327 individuals, which translates to an estimated 832,956 HCM cases in the United States.

Authors

Institutions

Publication Details

Journal
JACC Advances
Published
2026-01-21
DOI
https://doi.org/10.1016/j.jacadv.2025.102552
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiology of Hypertrophic Cardiomyopathy in the United States From 2016 to 2023

Ralph J. Riello, Ahmad Munir Masri, Sanatan Shreay, Nihar R. Desai et al.
JACC Advances
Cardiomyopathy and Myosin Studies
article

Epidemiology of Hypertrophic Cardiomyopathy in the United States From 2016 to 2023

Ralph J. Riello, Ahmad Munir Masri, Sanatan Shreay, Nihar R. Desai, P. Gebrehiwet, Kian Farajkhah, Michael Butzner, Theodore Abraham, Anjali T. Owens, Andrew K. ElHabr, Turgay Ayer
article en

Abstract

In this administrative claims-based study, the prevalence of HCM from 2016 to 2023 was 1/327 individuals, which translates to an estimated 832,956 HCM cases in the United States.

JACC AdvancesVol. 5(2)
Georgia Institute of Technology (US), Oregon Health & Science University (US), University of California, San Francisco (US), Hospital of the University of Pennsylvania (US), Yale University (US), Massachusetts General Hospital (US), Cytokinetics (United States) (US)
Good health and well-being
Openalex Percentile: Top 82%
Cardiomyopathy and Myosin Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.