Universidad Peruana Cayetano Heredia

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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dc.contributor.author Carrillo Larco, Rodrigo Martín
dc.contributor.author Miranda, J. Jaime
dc.contributor.author Gilman, Robert Hugh
dc.contributor.author Checkley, W.
dc.contributor.author Smeeth, L.
dc.contributor.author Bernabé Ortiz, Antonio
dc.contributor.author CRONICAS Cohort Study Group
dc.date.accessioned 2019-03-05T15:23:27Z
dc.date.available 2019-03-05T15:23:27Z
dc.date.issued 2018
dc.identifier.uri https://hdl.handle.net/20.500.12866/5884
dc.description.abstract 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. en_US
dc.language.iso eng
dc.publisher Hindawi
dc.relation.ispartofseries Journal of Diabetes Research
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject HOMA-IR Performance en_US
dc.subject Diabetes Cases en_US
dc.subject Urbanization en_US
dc.subject Altitude en_US
dc.subject Peru en_US
dc.title The HOMA-IR Performance to Identify New Diabetes Cases by Degree of Urbanization and Altitude in Peru: The CRONICAS Cohort Study en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1155/2018/7434918
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.18
dc.relation.issn 2314-6753


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