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卡塔尔糖尿病和糖代谢受损的筛查:模型的开发与验证

Screening for diabetes and impaired glucose metabolism in Qatar: Models' development and validation.

作者信息

Sadek Khaled, Abdelhafez Ibrahim, Al-Hashimi Israa, Al-Shafi Wadha, Tarmizi Fatihah, Al-Marri Hissa, Alzohari Nada, Balideh Mohammad, Carr Alison

机构信息

College of Medicine, QU Health, Qatar University, 2713 Doha, Qatar.

出版信息

Prim Care Diabetes. 2022 Feb;16(1):69-77. doi: 10.1016/j.pcd.2021.10.002. Epub 2021 Oct 27.

DOI:10.1016/j.pcd.2021.10.002
PMID:34716113
Abstract

AIM

To establish two scoring models for identifying individuals at risk of developing Impaired Glucose Metabolism (IGM) or Type two Diabetes Mellitus (T2DM) in Qatari.

MATERIALS AND METHODS

A sample of 2000 individuals, from Qatar BioBank, was evaluated to determine features predictive of T2DM and IGM. Another sample of 1000 participants was obtained for external validation of the models. Several scoring models screening for T2DM were evaluated and compared to the model proposed by this study.

RESULTS

Age, gender, waist-to-hip-ratio, history of hypertension and hyperlipidemia, and levels of educational were statistically associated with the risk of T2DM and constituted the Qatar diabetes mellitus risk score (QDMRISK). Along with, the 6 aforementioned variables, the IGM model showed that BMI was statistically significant. The QDMRISK performed well with area under the curve (AUC) 0.870 and .815 in the development and external validation cohorts, respectively. The QDMRISK showed overall better accuracy and calibration compared to other evaluated scores. The IGM model showed good accuracy and calibration, with AUCs .796 and .774 in the development and external validation cohorts, respectively.

CONCLUSIONS

This study developed Qatari-specific diabetes and IGM risk scores to identify high risk individuals and can guide the development of a nationwide primary prevention program.

摘要

目的

建立两种评分模型,用于识别卡塔尔有发生糖代谢受损(IGM)或2型糖尿病(T2DM)风险的个体。

材料与方法

对来自卡塔尔生物样本库的2000名个体进行评估,以确定预测T2DM和IGM的特征。另外获取1000名参与者的样本用于模型的外部验证。对几种筛查T2DM的评分模型进行了评估,并与本研究提出的模型进行比较。

结果

年龄、性别、腰臀比、高血压和高脂血症病史以及教育程度与T2DM风险存在统计学关联,构成了卡塔尔糖尿病风险评分(QDMRISK)。此外,IGM模型显示,除上述6个变量外,体重指数(BMI)具有统计学意义。QDMRISK在开发队列和外部验证队列中的曲线下面积(AUC)分别为0.870和0.815,表现良好。与其他评估分数相比,QDMRISK总体上具有更好的准确性和校准性。IGM模型显示出良好的准确性和校准性,在开发队列和外部验证队列中的AUC分别为0.796和0.774。

结论

本研究开发了针对卡塔尔人的糖尿病和IGM风险评分,以识别高危个体,并可为全国一级预防计划的制定提供指导。

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