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Different indexes of glycemic variability as identifiers of patients with risk of hypoglycemia in type 2 diabetes mellitus

dc.contributor.authorGómez, Ana M.
dc.contributor.authorMuñoz, Oscar M.
dc.contributor.authorMarin, Alejandro
dc.contributor.authorFonseca, Maria Camila
dc.contributor.authorRondón, Martín
dc.contributor.authorRobledo Gómez, María Alejandra
dc.contributor.authorSanko, Andrei
dc.contributor.authorLujan, Dilcia
dc.contributor.authorGarcía-Jaramillo, Maira
dc.contributor.authorLeón Vargas, Fabian Mauricio
dc.contributor.corporatenamePontificia Universidad Javeriana. Facultad de Medicina. Departamento de Epidemiología Clínica y Bioestadística
dc.contributor.corporatenamePontificia Universidad Javeriana. Facultad de Medicina. Departamento de Medicina Interna. Enfermedades Crónicas del Adulto
dc.date.accessioned2020-03-24T18:59:32Z
dc.date.accessioned2020-04-15T13:25:19Z
dc.date.available2020-03-24T18:59:32Z
dc.date.available2020-04-15T13:25:19Z
dc.date.created2018-02-16
dc.description.abstractenglishIntroduction: Recent publications frequently introduce new indexes to measure glycemic variability (GV), quality of glycemic control, or glycemic risk; however, there is a lack of evidence supporting the use of one particular parameter, especially in clinical practice. Methods: A cohort of type 2 diabetes mellitus (T2DM) patients in ambulatory care were followed using continuous glucose monitoring sensors (CGM). Mean glucose (MG), standard deviation, coefficient of variation (CV), interquartile range, CONGA1, 2, and 4, MAGE, M value, J index, high blood glucose index, and low blood glucose index (LBGI) were estimated. Hypoglycemia incidence (<54 mg/dl) was calculated. Area under the curve (AUC) was determined for different indexes as identifiers of patients with risk of hypoglycemia (IRH). Optimal cutoff thresholds were determined from analysis of the receiver operating characteristic curves. Results: CGM data for 657 days from 140 T2DM patients (4.69 average days per patient) were analyzed. Hypoglycemia was present in 50 patients with 144 hypoglycemic events in total (incidence rate of 0.22 events per patient/day). In the multivariate analysis, both CV (OR 1.20, 95% CI 1.12-1.28, P < .001) and LBGI (OR 4.83, 95% CI 2.41-9.71, P < .001) were shown to have a statistically significant association with hypoglycemia. The highest AUC were for CV (0.84; 95% CI 0.77-0.91) and LBGI (0.95; 95% CI 0.92-0.98). The optimal cutoff threshold for CV as IRH was 34%, and 3.4 for LBGI. Conclusion: This analysis shows that CV can be recommended as the preferred parameter of GV to be used in clinical practice for T2DM patients. LBGI is the preferred IRH between glycemic risk indexes.spa
dc.description.paginas1007-1015spa
dc.description.quartilescopusQ1spa
dc.description.tipoarticuloArtículo originalspa
dc.formatPDFspa
dc.format.mimetypeapplication/pdfspa
dc.format.soportePapel / Electrónicospa
dc.identifierhttps://journals.sagepub.com/doi/full/10.1177/1932296818758105spa
dc.identifier.doihttps://doi.org/10.1177/1932296818758105spa
dc.identifier.issn1932-2968 / 1932-2968 (Electrónico)spa
dc.identifier.urihttp://hdl.handle.net/10554/47790
dc.languagespaspa
dc.rights.licenceAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceJournal of Diabetes Science and Technology; Vol. 12 Núm. 5 (2018)spa
dc.subject.keywordType 2 diabetesspa
dc.subject.keywordHypoglycemiaspa
dc.subject.keywordContinuous glucose monitoringspa
dc.subject.keywordGlucose variabilityspa
dc.titleDifferent indexes of glycemic variability as identifiers of patients with risk of hypoglycemia in type 2 diabetes mellitusspa
dc.typeinfo:eu-repo/semantics/article
dc.type.hasversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.localArtículo de revistaspa

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