Different Indexes of Glycemic Variability as Identifiers of Patients with Risk of Hypoglycemia in Type 2 Diabetes Mellitus
Autor: | Ana María Gómez, Alejandro Marin, María Alejandra Robledo Gómez, Dilcia Lujan, Maria Camila Fonseca, Fabian Mauricio León Vargas, Oscar Muñoz, Martín Rondón, Maira García-Jaramillo, Andrei Sanko |
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Rok vydání: | 2018 |
Předmět: |
Blood Glucose
Male medicine.medical_specialty Endocrinology Diabetes and Metabolism Coefficient of variation Biomedical Engineering 030209 endocrinology & metabolism Bioengineering Type 2 diabetes 030204 cardiovascular system & hematology Hypoglycemia Cohort Studies Diabetes Complications 03 medical and health sciences 0302 clinical medicine Interquartile range Internal medicine Internal Medicine medicine Humans Prospective Studies Aged Glycemic Receiver operating characteristic business.industry Incidence Area under the curve Type 2 Diabetes Mellitus Original Articles Middle Aged medicine.disease Diabetes Mellitus Type 2 Glycemic Index Cardiology Female business |
Zdroj: | Journal of Diabetes Science and Technology. 12:1007-1015 |
ISSN: | 1932-2968 |
Popis: | Introduction: 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 (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. |
Databáze: | OpenAIRE |
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