{"title":"Association of Multiple Nonhypertrophic Cardiomyopathy–Related Genetic Variants and Outcomes in Patients With Hypertrophic Cardiomyopathy","authors":"Takashi Hiruma MD , Shunsuke Inoue MD, PhD , Zhehao Dai MD, PhD, MPH , Seitaro Nomura MD, PhD , Toru Kubo MD, PhD , Kenta Sugiura MD, PhD , Atsushi Suzuki MD, PhD , Takeshi Kashimura MD, PhD , Shouji Matsushima MD, PhD , Takanobu Yamada MD, PhD , Takashige Tobita MD, PhD , Manami Katoh MD, PhD , Toshiyuki Ko MD, PhD , Masamichi Ito MD, PhD , Junichi Ishida MD, PhD , Eisuke Amiya MD, PhD , Masaru Hatano MD, PhD , Norifumi Takeda MD, PhD , Eiki Takimoto MD, PhD , Hiroshi Akazawa MD, PhD , Issei Komuro MD, PhD","doi":"10.1016/j.jchf.2024.08.005","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Approximately 10% of hypertrophic cardiomyopathy (HCM) patients have left ventricular systolic dysfunction (end-stage HCM) leading to severe heart-failure; however, risk stratification to identify patients at risk of progressing to end-stage HCM remains insufficient.</div></div><div><h3>Objectives</h3><div>In this study, the authors sought to elucidate whether the coexistence of other cardiovascular disease (CVD)–related variants is associated with progression to end-stage HCM in patients with HCM harboring pathogenic or likely pathogenic (P/LP) sarcomeric variants.</div></div><div><h3>Methods</h3><div>The authors performed genetic analysis of 83 CVD-related genes in HCM patients from a Japanese multicenter cohort. P/LP variants in 8 major sarcomeric genes (<em>MYBPC3</em>, <em>MYH7</em>, <em>TNNT2</em>, <em>TNNI3</em>, <em>TPM1</em>, <em>MYL2</em>, <em>MYL3</em>, and <em>ACTC1</em>) definitive for HCM were defined as “sarcomeric variants.” In addition, P/LP variants associated with other CVDs, such as dilated cardiomyopathy and arrhythmogenic cardiomyopathy, were referred to as “other CVD-related variants.”</div></div><div><h3>Results</h3><div>Among 394 HCM patients, 139 carried P/LP sarcomeric variants: 11 (7.9%) carried other CVD-related variants, 6 (4.3%) multiple sarcomeric variants, and 122 (87.8%) single sarcomeric variants. In a multivariable Cox regression analysis, presence of multiple sarcomeric variants (adjusted HR [aHR]: 3.35 [95% CI: 1.25-8.95]; <em>P =</em> 0.016) and coexistence of other CVD-related variants (aHR: 2.80 [95% CI: 1.16-6.78]; <em>P =</em> 0.022) were independently associated with progression to end-stage HCM. Coexisting other CVD-related variants were also associated with heart failure events (aHR: 2.75 [95% CI: 1.27-5.94]; <em>P =</em> 0.010).</div></div><div><h3>Conclusions</h3><div>Approximately 8% of sarcomeric HCM patients carried other CVD-related variants, which were associated with progression to end-stage HCM and heart failure events. Comprehensive surveillance of CVD-related variants within sarcomeric HCM patients contributes to risk stratification and understanding of mechanisms underlying end-stage HCM.</div></div>","PeriodicalId":14687,"journal":{"name":"JACC. Heart failure","volume":"12 12","pages":"Pages 2041-2052"},"PeriodicalIF":10.3000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JACC. Heart failure","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213177924006048","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Approximately 10% of hypertrophic cardiomyopathy (HCM) patients have left ventricular systolic dysfunction (end-stage HCM) leading to severe heart-failure; however, risk stratification to identify patients at risk of progressing to end-stage HCM remains insufficient.
Objectives
In this study, the authors sought to elucidate whether the coexistence of other cardiovascular disease (CVD)–related variants is associated with progression to end-stage HCM in patients with HCM harboring pathogenic or likely pathogenic (P/LP) sarcomeric variants.
Methods
The authors performed genetic analysis of 83 CVD-related genes in HCM patients from a Japanese multicenter cohort. P/LP variants in 8 major sarcomeric genes (MYBPC3, MYH7, TNNT2, TNNI3, TPM1, MYL2, MYL3, and ACTC1) definitive for HCM were defined as “sarcomeric variants.” In addition, P/LP variants associated with other CVDs, such as dilated cardiomyopathy and arrhythmogenic cardiomyopathy, were referred to as “other CVD-related variants.”
Results
Among 394 HCM patients, 139 carried P/LP sarcomeric variants: 11 (7.9%) carried other CVD-related variants, 6 (4.3%) multiple sarcomeric variants, and 122 (87.8%) single sarcomeric variants. In a multivariable Cox regression analysis, presence of multiple sarcomeric variants (adjusted HR [aHR]: 3.35 [95% CI: 1.25-8.95]; P = 0.016) and coexistence of other CVD-related variants (aHR: 2.80 [95% CI: 1.16-6.78]; P = 0.022) were independently associated with progression to end-stage HCM. Coexisting other CVD-related variants were also associated with heart failure events (aHR: 2.75 [95% CI: 1.27-5.94]; P = 0.010).
Conclusions
Approximately 8% of sarcomeric HCM patients carried other CVD-related variants, which were associated with progression to end-stage HCM and heart failure events. Comprehensive surveillance of CVD-related variants within sarcomeric HCM patients contributes to risk stratification and understanding of mechanisms underlying end-stage HCM.
期刊介绍:
JACC: Heart Failure publishes crucial findings on the pathophysiology, diagnosis, treatment, and care of heart failure patients. The goal is to enhance understanding through timely scientific communication on disease, clinical trials, outcomes, and therapeutic advances. The Journal fosters interdisciplinary connections with neuroscience, pulmonary medicine, nephrology, electrophysiology, and surgery related to heart failure. It also covers articles on pharmacogenetics, biomarkers, and metabolomics.