{"title":"德黑兰脂质和葡萄糖研究(TLGS)中预测心血管疾病(CVD)和CVD死亡率的标准化持续代谢综合征严重程度评分(cMetS-S)的最佳分界点。","authors":"Maryam Adib, Ladan Mehran, Safdar Masoumi, Iman Vatanpoor, Fereidoun Azizi, Atieh Amouzegar","doi":"10.5812/ijem-154255","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Metabolic Syndrome (MetS) is a prevalent condition associated with an increased risk of cardiovascular disease (CVD) and CVD mortality. Due to the limited clinical applicability of MetS, the standardized continuous metabolic syndrome severity score (cMetS-S) has the potential to provide continuous assessment of metabolic risk.</p><p><strong>Objectives: </strong>This study evaluated the optimal cMetS-S cut-off points in the Tehran Lipid and Glucose Study (TLGS) for predicting CVD and CVD mortality.</p><p><strong>Methods: </strong>The study included 7,776 participants over 30 years old at baseline, followed for 18 years. Sex-specific sensitivity (SS) and specificity (SP) of cMetS-S measures for predicting CVD and CVD mortality were evaluated using a receiver operating characteristic (ROC) curve, along with the area under the curve (AUC), employing a naive estimator and considering event failure status and MetS variables.</p><p><strong>Results: </strong>The cut-off point of cMetS-S for CVD was 0.13 (SS: 65.5%, SP: 59.6%) for the total population, 0.44 (SS: 49.6%, SP: 68.1%) for men, and 0.27 (SS: 64.2%, SP: 69.2%) for women. The cut-off point of cMetS-S for CVD mortality was 0.53 (SS: 51.3%, SP: 71.9%) for the total population, 0.76 (SS: 35.1%, SP: 76.2%) for men, and 0.28 (SS: 78.8%, SP: 66.4%) for women. The AUC (95% CI) of MetS based on the International Diabetes Federation (IDF) and Joint Interim Statement (JIS) definitions were 60.0 (65.3 - 56.8) and 61.1 (59.6 - 56.8) for CVD, and 59.3 (56.0 - 62.5) and 59.4 (56.3 - 62.6) for CVD mortality.</p><p><strong>Conclusions: </strong>The cut-off points of cMetS-S for CVD and CVD mortality differ between men and women. The cMetS-S could be a better predictive tool for CVD and CVD mortality than MetS.</p>","PeriodicalId":13969,"journal":{"name":"International Journal of Endocrinology and Metabolism","volume":"22 4","pages":"e154255"},"PeriodicalIF":1.8000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11892520/pdf/","citationCount":"0","resultStr":"{\"title\":\"Optimal Cut-off Points of the Standardized Continuous Metabolic Syndrome Severity Score (cMetS-S) for Predicting Cardiovascular Disease (CVD) and CVD Mortality in the Tehran Lipid and Glucose Study (TLGS).\",\"authors\":\"Maryam Adib, Ladan Mehran, Safdar Masoumi, Iman Vatanpoor, Fereidoun Azizi, Atieh Amouzegar\",\"doi\":\"10.5812/ijem-154255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Metabolic Syndrome (MetS) is a prevalent condition associated with an increased risk of cardiovascular disease (CVD) and CVD mortality. Due to the limited clinical applicability of MetS, the standardized continuous metabolic syndrome severity score (cMetS-S) has the potential to provide continuous assessment of metabolic risk.</p><p><strong>Objectives: </strong>This study evaluated the optimal cMetS-S cut-off points in the Tehran Lipid and Glucose Study (TLGS) for predicting CVD and CVD mortality.</p><p><strong>Methods: </strong>The study included 7,776 participants over 30 years old at baseline, followed for 18 years. Sex-specific sensitivity (SS) and specificity (SP) of cMetS-S measures for predicting CVD and CVD mortality were evaluated using a receiver operating characteristic (ROC) curve, along with the area under the curve (AUC), employing a naive estimator and considering event failure status and MetS variables.</p><p><strong>Results: </strong>The cut-off point of cMetS-S for CVD was 0.13 (SS: 65.5%, SP: 59.6%) for the total population, 0.44 (SS: 49.6%, SP: 68.1%) for men, and 0.27 (SS: 64.2%, SP: 69.2%) for women. The cut-off point of cMetS-S for CVD mortality was 0.53 (SS: 51.3%, SP: 71.9%) for the total population, 0.76 (SS: 35.1%, SP: 76.2%) for men, and 0.28 (SS: 78.8%, SP: 66.4%) for women. The AUC (95% CI) of MetS based on the International Diabetes Federation (IDF) and Joint Interim Statement (JIS) definitions were 60.0 (65.3 - 56.8) and 61.1 (59.6 - 56.8) for CVD, and 59.3 (56.0 - 62.5) and 59.4 (56.3 - 62.6) for CVD mortality.</p><p><strong>Conclusions: </strong>The cut-off points of cMetS-S for CVD and CVD mortality differ between men and women. The cMetS-S could be a better predictive tool for CVD and CVD mortality than MetS.</p>\",\"PeriodicalId\":13969,\"journal\":{\"name\":\"International Journal of Endocrinology and Metabolism\",\"volume\":\"22 4\",\"pages\":\"e154255\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11892520/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Endocrinology and Metabolism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5812/ijem-154255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Endocrinology and Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5812/ijem-154255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Optimal Cut-off Points of the Standardized Continuous Metabolic Syndrome Severity Score (cMetS-S) for Predicting Cardiovascular Disease (CVD) and CVD Mortality in the Tehran Lipid and Glucose Study (TLGS).
Background: Metabolic Syndrome (MetS) is a prevalent condition associated with an increased risk of cardiovascular disease (CVD) and CVD mortality. Due to the limited clinical applicability of MetS, the standardized continuous metabolic syndrome severity score (cMetS-S) has the potential to provide continuous assessment of metabolic risk.
Objectives: This study evaluated the optimal cMetS-S cut-off points in the Tehran Lipid and Glucose Study (TLGS) for predicting CVD and CVD mortality.
Methods: The study included 7,776 participants over 30 years old at baseline, followed for 18 years. Sex-specific sensitivity (SS) and specificity (SP) of cMetS-S measures for predicting CVD and CVD mortality were evaluated using a receiver operating characteristic (ROC) curve, along with the area under the curve (AUC), employing a naive estimator and considering event failure status and MetS variables.
Results: The cut-off point of cMetS-S for CVD was 0.13 (SS: 65.5%, SP: 59.6%) for the total population, 0.44 (SS: 49.6%, SP: 68.1%) for men, and 0.27 (SS: 64.2%, SP: 69.2%) for women. The cut-off point of cMetS-S for CVD mortality was 0.53 (SS: 51.3%, SP: 71.9%) for the total population, 0.76 (SS: 35.1%, SP: 76.2%) for men, and 0.28 (SS: 78.8%, SP: 66.4%) for women. The AUC (95% CI) of MetS based on the International Diabetes Federation (IDF) and Joint Interim Statement (JIS) definitions were 60.0 (65.3 - 56.8) and 61.1 (59.6 - 56.8) for CVD, and 59.3 (56.0 - 62.5) and 59.4 (56.3 - 62.6) for CVD mortality.
Conclusions: The cut-off points of cMetS-S for CVD and CVD mortality differ between men and women. The cMetS-S could be a better predictive tool for CVD and CVD mortality than MetS.
期刊介绍:
The aim of the International Journal of Endocrinology and Metabolism (IJEM) is to increase knowledge, stimulate research in the field of endocrinology, and promote better management of patients with endocrinological disorders. To achieve this goal, the journal publishes original research papers on human, animal and cell culture studies relevant to endocrinology.