Simple risk score to detect rural Asian Indian (Bangladeshi) adults at high risk for type 2 diabetes.

Autor: Bhowmik, Bishwajit, Akhter, Afroza, Ali, Liaquat, Ahmed, Tofail, Pathan, Faruque, Mahtab, Hajera, Khan, Abul Kalam Azad, Hussain, Akhtar
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Zdroj: Journal of Diabetes Investigation; Nov2015, Vol. 6 Issue 6, p670-677, 8p
Abstrakt: Aims/Introduction To develop and evaluate a simple, non-invasive, diabetes risk score for detecting individuals at high risk for type 2 diabetes in rural Bangladesh. Materials and Methods Data from 2,293 randomly selected individuals aged ≥20 years from a cross-sectional study in a rural community of Bangladesh (2009 Chandra Rural Study) was used for model development. The validity of the model was assessed in another rural cross-sectional study (2009 Thakurgaon Rural Study). The logistic regression model used included age, sex, body mass index, waist-to-hip ratio and hypertension status to predict individuals who were at high risk for type 2 diabetes. Results On applying the developed model to both cohorts, the area under the receiver operating characteristic curve was 0.70 (95% confidence interval 0.68-0.72) for the Chandra cohort and 0.71 (95% confidence interval 0.68-0.74) for the Thakurgaon cohort. The risk score of >9 was shown to have the optimal cut-point to detect diabetes. This score had a sensitivity of 62.4 and 75.7%, and specificity of 67.4 and 61.6% in the two cohorts, respectively. This risk score was shown to have improved sensitivity and specificity to detect type 2 diabetes cases compared with the Thai, Indian, Omani, UK, Dutch, Portuguese and Pakistani diabetes risk scores. Conclusions This simple, non-invasive risk score can be used to detect individuals at high risk for type 2 diabetes in rural Bangladesh. Subjects with a score of 9 or above (out of 15) should undergo an oral glucose tolerance test for definitive diagnosis of diabetes. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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