Department of Health Sciences, University of Leicester, Leicester, UK.
Diabet Med. 2010 Aug;27(8):887-95. doi: 10.1111/j.1464-5491.2010.03037.x.
Risk assessment scores identify those at high risk of impaired glucose regulation and Type 2 diabetes mellitus. To date no risk assessment scores that can be completed by a lay person have been developed and validated specifically for multiethnic populations in the UK.
We used data on 6186 subjects aged 40-75 years from a multiethnic UK screening study (73% white European, 22% South Asian). All participants were given a 75 g oral glucose tolerance test. We developed logistic regression models for predicting current impaired glucose regulation (impaired fasting glycaemia/impaired glucose tolerance) or Type 2 diabetes mellitus using data from anthropometric measurements and self-reported questionnaires. Using the best-fitting model, we developed the Leicester Risk Assessment score. We externally validated the score using data from 3171 subjects aged 40-75 years from a separate screening study.
The components of the final model are age, ethnicity [white European vs. other (predominantly South Asian)], sex, first degree family history of diabetes, antihypertensive therapy or history of hypertension, waist circumference and body mass index. The score ranges from 0 to 47. Validating this model using the data from the second screening study gave an area under the receiver operator characteristic curve of 72% (95% confidence interval, 69-74%). A cut point of 16 had a sensitivity of 81% and a specificity of 45%.
The Leicester Risk Assessment score can be used to identify those at high risk of impaired glucose regulation and Type 2 diabetes mellitus in UK multiethnic populations. The score is simple (seven questions) and non-invasive.
风险评估分数可识别出那些葡萄糖调节受损和 2 型糖尿病风险较高的人群。迄今为止,尚未针对英国的多种族人群开发和验证可由非专业人员完成的风险评估分数。
我们使用了来自英国多民族筛查研究的 6186 名年龄在 40-75 岁的受试者的数据(73%为白种欧洲人,22%为南亚人)。所有参与者均接受了 75g 口服葡萄糖耐量试验。我们使用来自人体测量和自我报告问卷的数据,为预测当前葡萄糖调节受损(空腹血糖受损/葡萄糖耐量受损)或 2 型糖尿病建立了逻辑回归模型。使用最佳拟合模型,我们开发了莱斯特风险评估评分。我们使用来自另一个筛查研究的 3171 名年龄在 40-75 岁的受试者的数据对该评分进行了外部验证。
最终模型的组成部分是年龄、种族(白种欧洲人与其他种族(主要是南亚人))、性别、一级亲属糖尿病史、抗高血压治疗或高血压史、腰围和体重指数。评分范围为 0 至 47。使用第二个筛查研究的数据验证该模型,得到了 72%的受试者工作特征曲线下面积(95%置信区间,69-74%)。截断值为 16 时,敏感性为 81%,特异性为 45%。
莱斯特风险评估评分可用于识别英国多种族人群中葡萄糖调节受损和 2 型糖尿病风险较高的人群。该评分简单(七个问题)且无创。