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用于识别墨西哥成年人心脏代谢风险和代谢综合征的新型肥胖及生化-人体测量指标

Novel Adiposity and Biochemical-Anthropometric Indices to Identify Cardiometabolic Risk and Metabolic Syndrome in Mexican Adults.

作者信息

Rodríguez-Carrillo Patricia Lizett, Aguirre-Tostado Priscila Irene, Macías-Cervantes Maciste H, Alegría-Torres Jorge Alejandro, Luevano-Contreras Claudia

机构信息

Department of Medical Sciences, University of Guanajuato, León 37320, Mexico.

Department of Pharmacy, University of Guanajuato, Guanajuato 36000, Mexico.

出版信息

Healthcare (Basel). 2021 Nov 16;9(11):1561. doi: 10.3390/healthcare9111561.

Abstract

Although several indices used in clinical practice identify cardiometabolic risk (CR) and metabolic syndrome (MetS), it is imperative to develop indices for specific populations. Therefore, we proposed and validated sex-specific indices to identify CR associated with visceral adipose tissue (VAT) accumulation or MetS in Mexican adults. Additionally, a cut-off value for the visceral fat area (VFA) to identify CR was proposed. Clinical, anthropometric, biochemical, and body composition variables were evaluated in 904 subjects (25-45 years old) (84.4% men). Multiple and logistic regressions were used to model the indices and ROC curve analysis to determine predictive performance. An additional cohort ( = 186) was used for indices validation, and Cohen's kappa coefficient was employed for agreement analysis. The proposed sex-specific indices, called Mexican adiposity indices (MAIs) and biochemical-anthropometric indices (BAIs), were good predictors for CR and MetS. The kappa coefficients showed a moderate agreement level. The VFA cut-off value chosen to identify CR was 100.3 cm because it had the best combination of sensitivity (66.8%) and specificity (64.4%). MAIs and BAIs could be clinical tools to identify either CR associated to VAT accumulation or MetS, respectively. A VFA cut-off value of 100.3 cm could identify CR in Mexican men.

摘要

尽管临床实践中使用的几个指标可识别心脏代谢风险(CR)和代谢综合征(MetS),但为特定人群开发指标势在必行。因此,我们提出并验证了性别特异性指标,以识别墨西哥成年人中与内脏脂肪组织(VAT)堆积或MetS相关的CR。此外,还提出了用于识别CR的内脏脂肪面积(VFA)的临界值。对904名受试者(25至45岁)(84.4%为男性)的临床、人体测量、生化和身体成分变量进行了评估。使用多元回归和逻辑回归对指标进行建模,并通过ROC曲线分析来确定预测性能。另外一个队列(n = 186)用于指标验证,并采用Cohen's kappa系数进行一致性分析。所提出的性别特异性指标,即墨西哥肥胖指数(MAIs)和生化人体测量指数(BAIs),是CR和MetS的良好预测指标。kappa系数显示出中等一致性水平。选择用于识别CR的VFA临界值为100.3平方厘米,因为它具有最佳的敏感性(66.8%)和特异性(64.4%)组合。MAIs和BAIs可分别作为识别与VAT堆积相关的CR或MetS的临床工具。VFA临界值100.3平方厘米可识别墨西哥男性中的CR。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a388/8620800/7d1efc7a5496/healthcare-09-01561-g001.jpg

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