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Med."],"published-print":{"date-parts":[[2018,5]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Aim<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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, <jats:styled-content style=\"fixed-case\">FINDRISC<\/jats:styled-content>, were collected for 2073 people to build predictive models. Bootstrapping\u2010based evaluation was used to estimate the area under the receiver\u2010operating 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\u2010off values.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The final model contained five questions for undiagnosed Type 2 diabetes prediction and achieved an area under the receiver\u2010operating characteristic curve of 0.851 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.850\u20130.853). The impaired fasting glucose prediction model included six questions and achieved an area under the receiver\u2010operating characteristic curve of 0.840 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content> 0.839\u20130.840). 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>This study proposes two simplified models based on <jats:styled-content style=\"fixed-case\">FINDRISC<\/jats:styled-content> 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 <jats:styled-content style=\"fixed-case\">FINDRISC<\/jats:styled-content> questionnaire. Both models include waist circumference instead of <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/dme.13605","type":"journal-article","created":{"date-parts":[[2018,2,21]],"date-time":"2018-02-21T19:43:51Z","timestamp":1519242231000},"page":"640-649","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Development of a screening tool using electronic health records for undiagnosed Type 2 diabetes mellitus and impaired fasting glucose detection in the Slovenian population"],"prefix":"10.1111","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0183-8679","authenticated-orcid":false,"given":"G.","family":"\u0160tiglic","sequence":"first","affiliation":[{"name":"Faculty of Health Sciences University of Maribor Maribor Slovenia"},{"name":"Faculty of Electrical Engineering and Computer Science University of Maribor Maribor 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