The Leicester Risk Assessment score for detecting undiagnosed Type 2 diabetes and impaired glucose regulation for use in a multiethnic UK setting
Autor: | David R. Webb, Nick Taub, Balasubramanian Thiagarajan Srinivasan, Kamlesh Khunti, Laura J. Gray, E. Gardiner, Melanie J. Davies, Stephen L. Hiles |
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Rok vydání: | 2010 |
Předmět: |
Gerontology
medicine.medical_specialty Glucose tolerance test Framingham Risk Score medicine.diagnostic_test business.industry Endocrinology Diabetes and Metabolism Type 2 Diabetes Mellitus Type 2 diabetes medicine.disease Impaired glucose tolerance Endocrinology Internal medicine Diabetes mellitus Internal Medicine Medicine business Risk assessment Mass screening |
Zdroj: | Diabetic Medicine. 27:887-895 |
ISSN: | 1464-5491 0742-3071 |
DOI: | 10.1111/j.1464-5491.2010.03037.x |
Popis: | Diabet. Med. 27, 887–895 (2010) Abstract Aims 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. Methods 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. Results 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%. Conclusions 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. |
Databáze: | OpenAIRE |
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