...
首页> 外文期刊>International Scholarly Research Notices >Epidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment-2 Insulin Resistance: A Report from a Venezuelan Population
【24h】

Epidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment-2 Insulin Resistance: A Report from a Venezuelan Population

机译:流行病学行为和稳态模型评估2胰岛素抵抗的最佳临界点的估计:委内瑞拉人口的报告

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Background.Mathematical models such as Homeostasis Model Assessment have gained popularity in the evaluation of insulin resistance (IR). The purpose of this study was to estimate the optimal cut-off point for Homeostasis Model Assessment-2 Insulin Resistance (HOMA2-IR) in an adult population of Maracaibo, Venezuela.Methods.Descriptive, cross-sectional study with randomized, multistaged sampling included 2,026 adult individuals. IR was evaluated through HOMA2-IR calculation in 602 metabolically healthy individuals. For cut-off point estimation, two approaches were applied: HOMA2-IR percentile distribution and construction of ROC curves using sensitivity and specificity for selection.Results.HOMA2-IR arithmetic mean for the general population was2.21±1.42, with2.18±1.37for women and2.23±1.47for men (P=0.466). When calculating HOMA2-IR for the healthy reference population, the resulting p75 was 2.00. Using ROC curves, the selected cut-off point was 1.95, with an area under the curve of 0.801, sensibility of 75.3%, and specificity of 72.8%.Conclusions.We propose an optimal cut-off point of 2.00 for HOMA2-IR, offering high sensitivity and specificity, sufficient for proper assessment of IR in the adult population of our city, Maracaibo. The determination of population-specific cut-off points is needed to evaluate risk for public health problems, such as obesity and metabolic syndrome.
机译:背景技术诸如动态平衡模型评估的数学模型已在胰岛素抵抗(IR)评估中获得普及。这项研究的目的是评估委内瑞拉马拉开波成年人群体内稳态模型评估2胰岛素抵抗(HOMA2-IR)的最佳临界点。方法。描述性,横断面研究,包括随机多阶段抽样2,026个成年人。通过HOMA2-IR计算对602名代谢健康个体进行IR评估。对于临界点估计,采用了两种方法:HOMA2-IR百分位数分布和使用敏感性和特异性进行选择来构建ROC曲线。结果。普通人群的HOMA2-IR算术平均值为2.21±1.42,2.18±女性1.37,男性2.23±1.47(P = 0.466)。当为健康参考人群计算HOMA2-IR时,所得p75为2.00。使用ROC曲线,选择的截止点为1.95,曲线下面积为0.801,灵敏度为75.3%,特异性为72.8%。结论。我们建议HOMA2-IR的最佳截止点为2.00,具有很高的灵敏度和特异性,足以正确评估我们城市马拉开波的成年人口中的IR。需要确定特定人群的临界点,以评估公共健康问题(例如肥胖症和代谢综合征)的风险。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号