DSpace Repository

The HOMA-IR Performance to Identify New Diabetes Cases by Degree of Urbanization and Altitude in Peru: The CRONICAS Cohort Study

Show simple item record

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


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

info:eu-repo/semantics/restrictedAccess Except where otherwise noted, this item's license is described as info:eu-repo/semantics/restrictedAccess

Search DSpace


Browse

My Account

Statistics