Rodríguez-Carrillo Patricia Lizett, Aguirre-Tostado Priscila Irene, Macías-Cervantes Maciste H, Alegría-Torres Jorge Alejandro, Luevano-Contreras Claudia
Department of Medical Sciences, University of Guanajuato, León 37320, Mexico.
Department of Pharmacy, University of Guanajuato, Guanajuato 36000, Mexico.
Healthcare (Basel). 2021 Nov 16;9(11):1561. doi: 10.3390/healthcare9111561.
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.
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。
