Štiglic G, Kocbek P, Cilar L, Fijačko N, Stožer A, Zaletel J, Sheikh A, Povalej Bržan P
Faculty of Health Sciences, University of Maribor, Maribor, Slovenia.
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia.
Diabet Med. 2018 May;35(5):640-649. doi: 10.1111/dme.13605. Epub 2018 Mar 15.
To develop and validate a simplified screening test for undiagnosed Type 2 diabetes mellitus and impaired fasting glucose for the Slovenian population (SloRisk) to be used in the general population.
Data on 11 391 people were collected from the electronic health records of comprehensive medical examinations in five Slovenian healthcare centres. Fasting plasma glucose as well as information related to the Finnish Diabetes Risk Score questionnaire, FINDRISC, were collected for 2073 people to build predictive models. Bootstrapping-based evaluation was used to estimate the area under the receiver-operating characteristic curve performance metric of two proposed logistic regression models as well as the Finnish Diabetes Risk Score model both at recommended and at alternative cut-off values.
The final model contained five questions for undiagnosed Type 2 diabetes prediction and achieved an area under the receiver-operating characteristic curve of 0.851 (95% CI 0.850-0.853). The impaired fasting glucose prediction model included six questions and achieved an area under the receiver-operating characteristic curve of 0.840 (95% CI 0.839-0.840). There were four questions that were included in both models (age, sex, waist circumference and blood sugar history), with physical activity selected only for undiagnosed Type 2 diabetes and questions on family history and hypertension drug use selected only for the impaired fasting glucose prediction model.
This study proposes two simplified models based on FINDRISC questions for screening of undiagnosed Type 2 diabetes and impaired fasting glucose in the Slovenian population. A significant improvement in performance was achieved compared with the original FINDRISC questionnaire. Both models include waist circumference instead of BMI.
开发并验证一种用于斯洛文尼亚人群（SloRisk）的简化筛查试验，以检测未确诊的2型糖尿病和空腹血糖受损情况，供普通人群使用。
从斯洛文尼亚五个医疗保健中心的综合体检电子健康记录中收集了11391人的数据。收集了2073人的空腹血糖以及与芬兰糖尿病风险评分问卷（FINDRISC）相关的信息，以建立预测模型。基于自举法的评估用于估计两个提议的逻辑回归模型以及芬兰糖尿病风险评分模型在推荐和替代临界值下的受试者工作特征曲线性能指标下的面积。
最终模型包含五个用于预测未确诊2型糖尿病的问题，受试者工作特征曲线下面积为0.851（95%可信区间0.850 - 0.853）。空腹血糖受损预测模型包含六个问题，受试者工作特征曲线下面积为0.840（95%可信区间0.839 - 0.840）。两个模型都包含四个问题（年龄、性别、腰围和血糖病史），体育活动仅用于未确诊2型糖尿病的预测，家族史和高血压用药问题仅用于空腹血糖受损预测模型。
本研究基于FINDRISC问题提出了两个简化模型，用于筛查斯洛文尼亚人群中未确诊的2型糖尿病和空腹血糖受损情况。与原始FINDRISC问卷相比，性能有显著提高。两个模型都包含腰围而非体重指数。
