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A study of glycemic variability in patients with type 2 diabetes mellitus with obstructive sleep apnea syndrome using a continuous glucose monitoring system.

Authors :
Khaire SS
Gada JV
Utpat KV
Shah N
Varthakavi PK
Bhagwat NM
Source :
Clinical diabetes and endocrinology [Clin Diabetes Endocrinol] 2020 Jun 05; Vol. 6, pp. 10. Date of Electronic Publication: 2020 Jun 05 (Print Publication: 2020).
Publication Year :
2020

Abstract

Background: Obstructive sleep apnea syndrome (OSAS) in association with Type 2 Diabetes Mellitus (DM) may result in increased glycemic variability affecting the glycemic control and hence increasing the risk of complications associated with diabetes. We decided to assess the Glycemic Variability (GV) in patients with type 2 diabetes with OSAS and in controls. We also correlated the respiratory disturbance indices with glycemic variability indices.<br />Methods: After fulfilling the inclusion and exclusion criteria patients from the Endocrinology and Pulmonology clinics underwent modified Sleep Apnea Clinical Score (SACS) followed by polysomnography (PSG). Patients were then divided into 4 groups: Group A (DM with OSAS, n  = 20), Group B (DM without OSAS, n  = 20), Group C (Non DM with OSAS, n  = 10) and Group D (Non DM without OSAS, n  = 10). Patients in these groups were subjected to continuous glucose monitoring using the Medtronic iPro2 and repeat PSG. Parameters of GV: i.e. mean glucose, SD (standard Deviation), CV (Coefficient of Variation), Night SD, Night CV, MAGE and NMAGE were calculated using the Easy GV software. GV parameters and the respiratory indices were correlated statistically. Quantitative data was expressed as mean, standard deviation and median. The comparison of GV indices between different groups was performed by one-way analysis of variance (ANOVA) or Kruskal Wallis (for data that failed normality). Correlation analysis of AHI with GV parameters was done by Pearson correlation.<br />Results: All the four groups were adequately matched for age, sex, Body Mass Index (BMI), waist circumference (WC) and blood pressure (BP). We found that the GV parameters Night CV, MAGE and NMAGE were significantly higher in Group A as compared to Group B (p values < 0.05). Similarly Night CV, MAGE and NMAGE were also significantly higher in Group C as compared to Group D ( p value < 0.05). Apnea-hypopnea index (AHI) correlated positively with Glucose SD, MAGE and NMAGE in both diabetes (Group A plus Group B) and non- diabetes groups (Group C plus Group D).<br />Conclusions: OSAS has a significant impact on the glycemic variability irrespective of glycemic status. AHI has moderate positive correlation with the glycemic variability.<br />Competing Interests: Competing interestsThe authors declare that they have no competing interests. No conflict of interest.<br /> (© The Author(s) 2020.)

Details

Language :
English
ISSN :
2055-8260
Volume :
6
Database :
MEDLINE
Journal :
Clinical diabetes and endocrinology
Publication Type :
Academic Journal
Accession number :
32518676
Full Text :
https://doi.org/10.1186/s40842-020-00098-0