{"title":"Decreased Left Ventricular Mass is Associated with Sarcopenia and its Severity in Elderly Inpatients.","authors":"Yang Liu, Ling Li, Hui Gong, Xing Lyu, Lini Dong, Xiangyu Zhang","doi":"10.5334/gh.1326","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Skeletal muscle mass and cardiac structure change with age. It is unclear whether the loss of skeletal muscle mass (SMM) is accompanied by a decrease in heart mass loss. The aim of this study is to investigate the relationship of left ventricular mass (LVM) with sarcopenia and its severity in elderly inpatients.</p><p><strong>Methods: </strong>Seventy-one sarcopenia subjects and 103 non-sarcopenia controls were enrolled in this study. Bioelectrical impedance analysis, handgrip strength, and 5-time chair stand test were used to evaluate SMM, muscle strength, and physical performance, respectively. Myocardial structure and function were assessed by echocardiography. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia criteria 2019.</p><p><strong>Results: </strong>Sarcopenic patients had smaller left ventricular sizes and LVM than non-sarcopenic controls. Severe sarcopenic patients had smaller left ventricular sizes and LVM than non-severe sarcopenic patients. In univariate regression analysis, body mass index (BMI), cardiac size, and LVM were positively correlated with SMM or SMI. In multivariate regression analysis, BMI and LVM were independently correlated with SMM and SMI. The combined measurement of LVM and BMI predicts sarcopenia with 66.0% sensitivity and 88.7% specificity (AUC: 0.825; 95% CI: (0.761, 0.889); <i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>In hospitalized elderly patients, decreased left ventricular mass is associated with sarcopenia and its severity, and the combined measurement of LVM and BMI has a predictive value for sarcopenia.</p>","PeriodicalId":56018,"journal":{"name":"Global Heart","volume":"19 1","pages":"45"},"PeriodicalIF":3.0000,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11086584/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Heart","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5334/gh.1326","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Skeletal muscle mass and cardiac structure change with age. It is unclear whether the loss of skeletal muscle mass (SMM) is accompanied by a decrease in heart mass loss. The aim of this study is to investigate the relationship of left ventricular mass (LVM) with sarcopenia and its severity in elderly inpatients.
Methods: Seventy-one sarcopenia subjects and 103 non-sarcopenia controls were enrolled in this study. Bioelectrical impedance analysis, handgrip strength, and 5-time chair stand test were used to evaluate SMM, muscle strength, and physical performance, respectively. Myocardial structure and function were assessed by echocardiography. Sarcopenia was diagnosed according to the Asian Working Group for Sarcopenia criteria 2019.
Results: Sarcopenic patients had smaller left ventricular sizes and LVM than non-sarcopenic controls. Severe sarcopenic patients had smaller left ventricular sizes and LVM than non-severe sarcopenic patients. In univariate regression analysis, body mass index (BMI), cardiac size, and LVM were positively correlated with SMM or SMI. In multivariate regression analysis, BMI and LVM were independently correlated with SMM and SMI. The combined measurement of LVM and BMI predicts sarcopenia with 66.0% sensitivity and 88.7% specificity (AUC: 0.825; 95% CI: (0.761, 0.889); p < 0.001).
Conclusion: In hospitalized elderly patients, decreased left ventricular mass is associated with sarcopenia and its severity, and the combined measurement of LVM and BMI has a predictive value for sarcopenia.
Global HeartMedicine-Cardiology and Cardiovascular Medicine
CiteScore
5.70
自引率
5.40%
发文量
77
审稿时长
5 weeks
期刊介绍:
Global Heart offers a forum for dialogue and education on research, developments, trends, solutions and public health programs related to the prevention and control of cardiovascular diseases (CVDs) worldwide, with a special focus on low- and middle-income countries (LMICs). Manuscripts should address not only the extent or epidemiology of the problem, but also describe interventions to effectively control and prevent CVDs and the underlying factors. The emphasis should be on approaches applicable in settings with limited resources.
Economic evaluations of successful interventions are particularly welcome. We will also consider negative findings if important. While reports of hospital or clinic-based treatments are not excluded, particularly if they have broad implications for cost-effective disease control or prevention, we give priority to papers addressing community-based activities. We encourage submissions on cardiovascular surveillance and health policies, professional education, ethical issues and technological innovations related to prevention.
Global Heart is particularly interested in publishing data from updated national or regional demographic health surveys, World Health Organization or Global Burden of Disease data, large clinical disease databases or registries. Systematic reviews or meta-analyses on globally relevant topics are welcome. We will also consider clinical research that has special relevance to LMICs, e.g. using validated instruments to assess health-related quality-of-life in patients from LMICs, innovative diagnostic-therapeutic applications, real-world effectiveness clinical trials, research methods (innovative methodologic papers, with emphasis on low-cost research methods or novel application of methods in low resource settings), and papers pertaining to cardiovascular health promotion and policy (quantitative evaluation of health programs.