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首页> 外文期刊>Journal of stroke and cerebrovascular diseases: The official journal of National Stroke Association >A Diagnostic Score for Insulin Resistance in Nondiabetic Patients with Ischemic Stroke or Transient Ischemic Attack
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A Diagnostic Score for Insulin Resistance in Nondiabetic Patients with Ischemic Stroke or Transient Ischemic Attack

机译:非糖尿病性缺血性中风或短暂性脑缺血发作患者胰岛素抵抗的诊断评分

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摘要

Goal: We sought to develop an instrument to screen for insulin resistance in nondiabetic patients with recent ischemic stroke or transient ischemic attack (TIA). Materials and methods: Subjects were 7262 nondiabetic patients aged greater than or equal to 40 years with ischemic strokes or TIA within the past 6 months. Features were analyzed in bivariate analysis for association with insulin resistance, measured by the homeostasis model assessment of insulin resistance (HOMA-IR). Features significantly associated with HOMA-IR (P<.05) were entered into multivariable analysis. The magnitudes of regression coefficients from the multivariable model were used to assign point values for 2 diagnostic scoring instruments: a basic instrument that did not incorporate laboratory test values and an enhanced instrument that did. The performance of the instruments was tested using receiver operating characteristic (ROC) analysis. Findings: In the basic model, 5 features were retained in the multivariable regression analysis: male gender, abdominal obesity, body mass index (BMI), elevated waist-to-hip ratio, and systolic blood pressure. In the enhanced model, 4 features were retained in the multivariable regression analysis: BMI, abdominal obesity, fasting glucose greater than or equal to 100 mg/dL, and triglyceride/high-density lipoprotein ratio. In the basic model, the area under the ROC curve (aROC) was .73 in the validation cohort. In the enhanced model, the aROC was .78 in the validation cohort. Conclusions: Our 2 scoring systems performed well in identifying stroke patients with insulin resistance, but they are probably not sufficiently accurate for high-stake clinical decisions. We suggest strategies for improving the accuracy of future instruments. (C) 2016 National Stroke Association. Published by Elsevier Inc. All rights reserved.
机译:目标:我们寻求开发一种仪器,用于筛查近期有缺血性中风或短暂性脑缺血发作(TIA)的非糖尿病患者的胰岛素抵抗。材料和方法:受试者为过去6个月内患有缺血性中风或TIA的7262名年龄大于或等于40岁的非糖尿病患者。通过胰岛素抵抗的稳态模型评估(HOMA-IR),在与胰岛素抵抗相关的双变量分析中分析了特征。与HOMA-IR(P <.05)显着相关的特征已进入多变量分析。来自多变量模型的回归系数的大小用于为2种诊断评分工具分配点值:一种不包含实验室测试值的基本仪器,而一种包含增强型仪器的增强型仪器。使用接收器工作特性(ROC)分析测试了仪器的性能。发现:在基本模型中,多元回归分析保留了5个特征:男性,腹部肥胖,体重指数(BMI),腰臀比升高和收缩压。在增强模型中,多变量回归分析保留了4个特征:BMI,腹部肥胖,空腹血糖大于或等于100 mg / dL和甘油三酸酯/高密度脂蛋白比率。在基本模型中,验证队列中ROC曲线下的面积(aROC)为0.73。在增强模型中,验证队列的aROC为0.78。结论:我们的两种评分系统在识别卒中患者中具有胰岛素抵抗方面表现良好,但是对于高风险的临床决策而言,它们可能不够准确。我们提出了提高未来仪器准确性的策略。 (C)2016年全国中风协会。由Elsevier Inc.出版。保留所有权利。

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