埃及人群糖尿病前期早期检测的临床评分

A. Abdel-Hamid, Enas T. Elkhamisy, E. Khashaba, Megahed Abo Elmagd
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引用次数: 1

摘要

背景:前驱糖尿病是一种广泛存在的血糖高于正常的状态,但它不符合糖尿病的标准。然而,根据潜在的危险因素,目前还没有针对糖尿病前期的全国性评分系统。方法:在曼苏拉专科医院进行病例对照研究。研究对象于2018年10月至2019年8月在门诊招募。前驱糖尿病患者被分配为病例组,而对照组是那些HbA1C正常的人。通过使用人口统计数据,包括年龄和性别信息,建立了一个基于糖尿病前期危险因素的评分系统。结果:。在目前的研究中,肥胖的参与者患前驱糖尿病的几率要高出4.9倍(肥胖者得16分)。目前吸烟者患前驱糖尿病的几率是吸烟者的3倍(目前吸烟者得11分)。缺乏适度体育锻炼的参与者出现前驱糖尿病的几率要高出2.6倍(缺乏适度体育锻炼的参与者得10分)。采用二元logistic回归评估埃及糖尿病前期风险评分在预测埃及患者糖尿病前期可能性方面的表现。模型具有统计学意义(2 [1]= 60.684,P<0.001),正确分类75%的病例。该模型的敏感性和阳性预测值为74%,特异性和阴性预测值为76%。曼苏拉医学杂志(曼苏拉医学院官方杂志)pISSN: 1110-211X;eISSN: 2735 - 3990
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical scoring for early detection of prediabetes in Egyptian population
Background: Prediabetes is a wide spread condition where blood glucose is above normal, but it does not measure up to the criteria of diabetes mellitus. Yet there is no national scoring system for prediabetes according to the potential risk factors. Methods: A case-control study has been carried out in Mansoura Specialized Hospital. Subjects have been recruited from out-patients clinic in the period from October 2018 to August 2019. Those with prediabetes had been assigned to be the case group whereas control subjects were those who had a normal HbA1C. A scoring system was based on risk factors of prediabetes by use demographics data including information about age and sex. Results:. In the current study participants with obesity have 4.9 times higher odds to exhibit prediabetes (a score of 16 points is assigned to those with obesity). Participants who are current smokers have 3 times higher odds to exhibit prediabetes (a score of 11 points is assigned to current smokers). Participants with lack of moderate physical activity have 2.6 times higher odds to exhibit prediabetes (a score of 10 points is assigned to those who lack moderate physical activity). Binary logistic regression was run to assess the performance of Egyptian Prediabetes risk score in predicting the likelihood of prediabetes in Egyptian patients. The model is statistically significant ( 2 [1] = 60.684, P<0.001), and it correctly classified 75% of cases. The model has sensitivity, and positive predictive value of 74%, and specificity, and negative predictive value of 76%. Mansoura Medical Journal (Official Journal of Mansoura Faculty of Medicine) pISSN: 1110-211X; eISSN: 2735-3990
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