Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model
Background : Although the presence of both obesity and reduced muscle mass presents a dual metabolic burden and additively has a negative effect on a variety of cardiometabolic parameters, data regarding the associations between their combined effects and left ventricular diastolic function are limi...
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Korean Society for the Study of Obesity
2025-01-01
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Series: | Journal of Obesity & Metabolic Syndrome |
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Online Access: | http://www.jomes.org/journal/view.html?doi=10.7570/jomes24027 |
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author | Jin Kyung Oh Yuri Seo Wonmook Hwang Sami Lee Yong-Hoon Yoon Kyupil Kim Hyun Woong Park Jae-Hyung Roh Jae-Hwan Lee Minsu Kim |
author_facet | Jin Kyung Oh Yuri Seo Wonmook Hwang Sami Lee Yong-Hoon Yoon Kyupil Kim Hyun Woong Park Jae-Hyung Roh Jae-Hwan Lee Minsu Kim |
author_sort | Jin Kyung Oh |
collection | DOAJ |
description | Background : Although the presence of both obesity and reduced muscle mass presents a dual metabolic burden and additively has a negative effect on a variety of cardiometabolic parameters, data regarding the associations between their combined effects and left ventricular diastolic function are limited. This study investigated the association between the ratio of skeletal muscle mass to visceral fat area (SVR) and left ventricular diastolic dysfunction (LVDD) in patients with preserved ejection fraction using random forest machine learning. Methods : In total, 1,070 participants with preserved left ventricular ejection fraction who underwent comprehensive health examinations, including transthoracic echocardiography and bioimpedance body composition analysis, were enrolled. SVR was calculated as an index of sarcopenic obesity by dividing the appendicular skeletal muscle mass by the visceral fat area. Results : In the random forest model, age and SVR were the most powerful predictors of LVDD. Multivariate logistic regression analysis demonstrated that older age (adjusted odds ratio [OR], 1.11; 95% confidence interval [CI], 1.07 to 1.15) and lower SVR (adjusted OR, 0.08; 95% CI, 0.01 to 0.57) were independent risk factors for LVDD. SVR showed a significant improvement in predictive performance and fair predictability for LVDD, with the highest area under the curve noted in both men and women, with statistical significance. In non-obese and metabolically healthy individuals, the lowest SVR tertile was associated with a greater risk of LVDD compared to the highest SVR tertile. Conclusion : Decreased muscle mass and increased visceral fat were significantly associated with LVDD compared to obesity, body fat composition, and body muscle composition indices. |
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language | English |
publishDate | 2025-01-01 |
publisher | Korean Society for the Study of Obesity |
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series | Journal of Obesity & Metabolic Syndrome |
spelling | doaj-art-8a39ba15dab945328c3848bde6ecf3c32025-01-24T03:28:56ZengKorean Society for the Study of ObesityJournal of Obesity & Metabolic Syndrome2508-62352025-01-01341546410.7570/jomes24027jomes24027Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest ModelJin Kyung Oh0Yuri Seo1Wonmook Hwang2Sami Lee3Yong-Hoon Yoon4Kyupil Kim5Hyun Woong Park6Jae-Hyung Roh7Jae-Hwan Lee8Minsu Kim9Division of Cardiology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, KoreaDepartment of Family Medicine, Chungnam National University Sejong Hospital, Sejong, KoreaDivision of Cardiology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, KoreaDepartment of Family Medicine, Chungnam National University Sejong Hospital, Sejong, KoreaDivision of Cardiology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, KoreaDepartment of Family Medicine, Chungnam National University Sejong Hospital, Sejong, KoreaDivision of Cardiology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, KoreaDivision of Cardiology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, KoreaDivision of Cardiology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, KoreaDivision of Cardiology, Department of Internal Medicine, Chungnam National University Sejong Hospital, Chungnam National University College of Medicine, Sejong, KoreaBackground : Although the presence of both obesity and reduced muscle mass presents a dual metabolic burden and additively has a negative effect on a variety of cardiometabolic parameters, data regarding the associations between their combined effects and left ventricular diastolic function are limited. This study investigated the association between the ratio of skeletal muscle mass to visceral fat area (SVR) and left ventricular diastolic dysfunction (LVDD) in patients with preserved ejection fraction using random forest machine learning. Methods : In total, 1,070 participants with preserved left ventricular ejection fraction who underwent comprehensive health examinations, including transthoracic echocardiography and bioimpedance body composition analysis, were enrolled. SVR was calculated as an index of sarcopenic obesity by dividing the appendicular skeletal muscle mass by the visceral fat area. Results : In the random forest model, age and SVR were the most powerful predictors of LVDD. Multivariate logistic regression analysis demonstrated that older age (adjusted odds ratio [OR], 1.11; 95% confidence interval [CI], 1.07 to 1.15) and lower SVR (adjusted OR, 0.08; 95% CI, 0.01 to 0.57) were independent risk factors for LVDD. SVR showed a significant improvement in predictive performance and fair predictability for LVDD, with the highest area under the curve noted in both men and women, with statistical significance. In non-obese and metabolically healthy individuals, the lowest SVR tertile was associated with a greater risk of LVDD compared to the highest SVR tertile. Conclusion : Decreased muscle mass and increased visceral fat were significantly associated with LVDD compared to obesity, body fat composition, and body muscle composition indices.http://www.jomes.org/journal/view.html?doi=10.7570/jomes24027intra-abdominal fatmuscleskeletalbody compositionventricular dysfunctionleftrandom forest |
spellingShingle | Jin Kyung Oh Yuri Seo Wonmook Hwang Sami Lee Yong-Hoon Yoon Kyupil Kim Hyun Woong Park Jae-Hyung Roh Jae-Hwan Lee Minsu Kim Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model Journal of Obesity & Metabolic Syndrome intra-abdominal fat muscle skeletal body composition ventricular dysfunction left random forest |
title | Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model |
title_full | Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model |
title_fullStr | Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model |
title_full_unstemmed | Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model |
title_short | Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analysis of the Random Forest Model |
title_sort | ratio of skeletal muscle mass to visceral fat area is a useful marker for assessing left ventricular diastolic dysfunction among koreans with preserved ejection fraction an analysis of the random forest model |
topic | intra-abdominal fat muscle skeletal body composition ventricular dysfunction left random forest |
url | http://www.jomes.org/journal/view.html?doi=10.7570/jomes24027 |
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