Evidence map›Paper›PMID 40069297›Full record

ArticleScientific reports2025

Complementary classification of hypertrophic cardiomyopathy using unsupervised cluster analysis on left ventricular function.

Dandan Sun, Xingyu Fang, Yuzhu Zhang, Zaihan Zhu, Chunyan Ma, Jun Yang

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Dandan Sun *Department of Ultrasound, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, 110067, China.
Xingyu Fang *Department of Ultrasound, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, 110067, China.
Yuzhu ZhangDepartment of Ultrasound, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, 110067, China.
Zaihan ZhuDepartment of Ultrasound, The People's Hospital of China Medical University, The People's Hospital of Liaoning Province, Shenyang, 110067, China.
Chunyan MaDepartment of Cardiovascular Ultrasound, The First Affiliated Hospital of China Medical University, 155 North Nanjing Street, Heping District, Shenyang, 110001, China.
Jun YangDepartment of Cardiovascular Ultrasound, The First Affiliated Hospital of China Medical University, 155 North Nanjing Street, Heping District, Shenyang, 110001, China. 17740096590@163.com.

Funding

National Natural Science Foundation of China 82371982Natural Science Foundation of Liaoning Province 2022-MS-078Shenyang Middle younger Scientific and Technological Innovation Support Plan RC220223
6 · The paper itself

Abstract

Contemporary classification of hypertrophic cardiomyopathy (HCM) was mainly based on the site of myocardial hypertrophy and left ventricular outflow tract obstruction. A complementary classification based on left ventricular function could provide a powerful tool to identify individuals with high risk of adverse cardiovascular outcomes and guide individualized managements. Multi-dimensional echocardiographic parameters of left ventricular function derived from conventional echocardiography, tissue Doppler imaging, and speckle tracking echocardiography were obtained in 266 HCM patients and 169 healthy controls (HCs). According to these parameters, HCM subtypes were calculated by principal component analysis and unsupervised cluster analysis. Variables of different groups were compared. The prognosis between HCM subtypes were evaluated. There were two HCM subtypes generated, subtype 1 HCMs (n = 123) and subtype 2 HCMs (n = 143). Compared to HCs, left ventricular diastolic and systolic function were significantly declined to varying degrees in both subtype 1 HCMs and subtype 2 HCMs, especially in subtype 1 HCMs (all P value < 0.001). Subtype 1 HCMs characterized as increased LAVI and E/E', decreased mean E' and untwist rate, increased global and segmental longitudinal strains, circumferential strains and radial strains, decreased rotation degree, twist degree, and twist rate, in comparison with subtype 2 HCMs (all P value < 0.001). Notably, subtype 1 HCMs were more susceptible to adverse prognosis of atrial fibrillation (HR: 4.34; 95% CI 1.08-17.53; P value: 0.039). Collectively, we stratified HCM patients into two subtypes with different diastolic and systolic performance and risk of atrial fibrillation. This complementary classification might eventually help to target management of HCM patients who would benefit most.

Indexed as

Cardiomyopathy, HypertrophicVentricular Function, LeftAdultAgedCase-Control StudiesCluster AnalysisEchocardiographyFemaleHeart VentriclesHumansMaleMiddle AgedPrincipal Component AnalysisPrognosisAtrial fibrillationCluster analysisHypertrophic cardiomyopathyMulti-dimensional echocardiographic parameters

Identifiers

PMID40069297
PMCPMC11897254

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