On the Frequency of Early Systolic Clicks in Mitral Valve Prolapse

Chandraratna, P.A.N.

doi:10.1159/000169865

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Other types are classified as sporadic nonsyndromic MVP [10], [11]. A floppy mitral valve plays a pivotal role in the pathogenesis of MVP [12], [13] The associate editor coordinating the review of this manuscript and approving it for publication was Behrouz Shabestari.…”

Section: Introductionmentioning

confidence: 99%

“…Although the Framingham Heart Study reported that MVP was associated with a low incidence of complications in the general population [1], many case studies have revealed that those with MVP have a higher risk of bacterial endocarditis [14], [15], ischemic stroke [16], severe mitral regurgitation [2], [4], [17], and complicated ventricular arrhythmias [18], [19]. As early as 30 years of age or older, the presence of a mitral systolic click can be physically auscultated in 10-20% of patients with MVP [12], [13], depending on the severity of the MVP and the mitral regurgitation [13]. Early screening of MVP in young adults is crucial for confirmation by echocardiography, which may facilitate a decision making made by primary physicians in specific clinical situations, e.g., antibiotic prophylaxis during surgery to prevent the occurrence of bacterial endocarditis related to MVP [20].…”

Section: Introductionmentioning

confidence: 99%

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Electrocardiographic Machine Learning to Predict Mitral Valve Prolapse in Young Adults

Lin

Zeng

2021

IEEE Access

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This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by the Institutional Review Broad of the Mennonite Christian General Hospital, Hualien City, Taiwan, under Approval No. 16-05-008.ABSTRACT Mitral valve prolapse (MVP), known as balloon mitral valve, accounts for 2-4% of cases in the general population and is associated with several cardiac sequelae. A few studies have shown suboptimal results using electrocardiographic (ECG) machine learning to identify MVP in middle-or old-aged individuals; however, no studies have focused on young adults. The aim of this study is to develop an ECG-based system through machine learning to predict MVP in young adults. In a large military population of 2,206 males, aged 17-43 years, support vector machine (SVM), logistic regression (LR) and multilayer perceptron (MLP) classifiers are used as machine learning techniques for 26 ECG features and additional 6 simple biological parameters to link the output of MVP compared with a traditional ECG criterion of a negative T-axis in inferior limb leads. In the parasternal long-axis view of echocardiography, MVP is defined as a displacement of the anterior or posterior leaflet of the mitral valve to the mid portions of the annular hinge point >2 mm. The values of the area under the receiver operating characteristic curve are 74.59%, 74.16% and 73.02% in the proposed SVM, LR and MLP classifiers, respectively, which are better than 38.13% in the traditional ECG criterion for MVP. Our machine learning system provides a novel tool for screening MVP among young male adults. The proposed method can be an adjuvant to the physical findings for early detection of MVP prior to a confirmation by echocardiography for young male adults. INDEX TERMS Echocardiography, electrocardiography, machine learning, mitral valve prolapse, young adults.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electrocardiographic Machine Learning to Predict Mitral Valve Prolapse in Young Adults

Lin

Zeng

2021

IEEE Access

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“…A floppy mitral valve plays a pivotal role in the pathogenesis of MVP 11 and can be assessed by imaging and physical examinations. Systolic click in cardiac auscultation is a typical finding for floppy mitral valve, and the prevalence is estimated from 10 to 70% in patients with MVP 1,12 . A specific heart sound has emerged in patients after 30 years of age, and the intensity increases with more severe MVP and decreases with a higher grade of mitral regurgitation 11,13 .…”

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confidence: 99%

Prevalence and characteristics of mitral valve prolapse in military young adults in Taiwan of the CHIEF Heart Study

Liu

Tsai

Lin

et al. 2021

Sci Rep

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The prevalence of mitral valve prolapse (MVP) among middle- and older-aged individuals is estimated to be 2–4% in Western countries. However, few studies have been conducted among Asian individuals and young adults. This study included a sample of 2442 consecutive military adults aged 18–39 years in Hualien, Taiwan. MVP was defined as displacement of the anterior or posterior leaflet of the mitral valve to the mid portion of the annular hinge point > 2 mm in the parasternal long-axis view of echocardiography. Cardiac chamber size and wall thickness were measured based on the latest criteria of the American Society of Echocardiography. The clinical features of participants with MVP and those without MVP were compared using a two-sample t test, and the cardiac structures were compared using analysis of covariance with adjustment for body surface area (BSA). Eighty-two participants were diagnosed with MVP, and the prevalence was 3.36% in the overall population. Compared with those without MVP, participants with MVP had a lower body mass index (kg/m2) (24.89 ± 3.70 vs. 23.91 ± 3.45, p = 0.02) and higher prevalence of somatic symptoms related to exercise (11.0% vs. 4.9%, p = 0.02) and systolic click in auscultation (18.3% vs. 0.6%, p < 0.01). In addition, participants with MVP had greater left ventricular mass (gm) and smaller right ventricular wall thickness (mm) and dimensions (mm) indexed by BSA than those without MVP (149.12 ± 35.76 vs. 155.38 ± 36.26; 4.66 ± 0.63 vs. 4.40 ± 0.68; 26.57 ± 3.99 vs. 25.41 ± 4.35, respectively, all p-values < 0.01). In conclusion, the prevalence and clinical features of MVP in military young adults in Taiwan were in line with those in Western countries. Whether the novel MVP phenotype found in this study has any pathological meaning needs further investigation.

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Mitral valve prolapse and physical performance in Asian military males: The CHIEF Heart study

Liu,

Feng,

Hsu

et al. 2023

Journal of Sports Sciences

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On the Frequency of Early Systolic Clicks in Mitral Valve Prolapse

Cited by 3 publications

References 11 publications

Electrocardiographic Machine Learning to Predict Mitral Valve Prolapse in Young Adults

Electrocardiographic Machine Learning to Predict Mitral Valve Prolapse in Young Adults

Prevalence and characteristics of mitral valve prolapse in military young adults in Taiwan of the CHIEF Heart Study

Mitral valve prolapse and physical performance in Asian military males: The CHIEF Heart study

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