دورية أكاديمية
The HOMA-IR Performance to Identify New Diabetes Cases by Degree of Urbanization and Altitude in Peru: The CRONICAS Cohort Study
| العنوان: | The HOMA-IR Performance to Identify New Diabetes Cases by Degree of Urbanization and Altitude in Peru: The CRONICAS Cohort Study |
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| المؤلفون: | Carrillo-Larco, R.M., Miranda, J.J., Gilman, R.H., Checkley, W., Smeeth, L., Bernabé-Ortiz, A., CRONICAS Cohort Study Group |
| بيانات النشر: | Hindawi |
| سنة النشر: | 2018 |
| المجموعة: | Repositorio - UPCH (Universidad Peruana Cayetano Heredia) |
| مصطلحات موضوعية: | UNAVAILABLE, https://purl.org/pe-repo/ocde/ford#3.02.00Test, https://purl.org/pe-repo/ocde/ford#3.02.18Test |
| الوصف: | Aims: Prognostic thresholds to identify new type 2 diabetes mellitus (T2DM) cases using the HOMA-IR have not been defined. We studied the HOMA-IR performance to identify incident T2DM cases and to assess if the thresholds varied according to urbanization and altitude in Peru. Methods: Longitudinal analysis. The outcome was incident T2DM cases: self-report diagnosis and fasting glucose. The exposure was the HOMA-IR. Receiver operating characteristic (ROC) curves were plotted, and the area under the ROC curve (AUC) was estimated with 95% confidence intervals (95% CIs). Results are presented overall and stratified by study site (Lima, Tumbes, urban Puno, and rural Puno), rurality (urban, semiurban, and rural), and altitude (low and high). Results: A total of 3120 participants (mean age: 55.6 years, 51.2% females) contributed data to this analysis. The median baseline HOMA-IR was 1.7 (IQR 1.0-2.9), with median values ranging from 1.1 in rural Puno to 2.0 in Lima and Tumbes (p < 0.001). Overall for incident T2DM, the AUC was 0.69 (95% CI: 0.64-0.74) with an empirical threshold of 2.8 yielding a positive likelihood ratio of 2.30 and a negative one of 0.61; the positive and negative predictive values were 14.6% and 95.7%, respectively. The empirical thresholds varied within the variables of interest, for example, from 0.9 in urban Puno to 2.9 in Lima. Conclusions: Using the HOMA-IR to identify incident T2DM cases seems to yield moderate accuracy. The HOMA-IR could help improve identifying people at high risk of T2DM. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2314-6753 |
| العلاقة: | urn:issn:2314-6753; https://hdl.handle.net/20.500.12866/5884Test; https://doi.org/10.1155/2018/7434918Test |
| DOI: | 10.1155/2018/7434918 |
| الإتاحة: | https://doi.org/20.500.12866/5884Test https://doi.org/10.1155/2018/7434918Test https://hdl.handle.net/20.500.12866/5884Test |
| حقوق: | info:eu-repo/semantics/restrictedAccess ; https://creativecommons.org/licenses/by-nc-nd/4.0/deed.esTest |
| رقم الانضمام: | edsbas.BFE0829B |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 23146753 |
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| DOI: | 10.1155/2018/7434918 |