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Journal of diabetes science and technology
01, 2021;15 (1): 134-140.

Comparison of CGM-Derived Measures of Glycemic Variability Between Pancreatogenic Diabetes and Type 2 Diabetes Mellitus.

Channabasappa Shivaprasad, Yalamanchi Aiswarya, Shah Kejal, Atluri Sridevi, Biswas Anupam, Barure Ramdas, Kolla Gautham, Premchander Aarudhra
Author Information
  1. Channabasappa Shivaprasad: Department of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India. ORCID
  2. Yalamanchi Aiswarya: Department of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
  3. Shah Kejal: Department of Internal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
  4. Atluri Sridevi: Department of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
  5. Biswas Anupam: Department of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
  6. Barure Ramdas: Department of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
  7. Kolla Gautham: Department of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
  8. Premchander Aarudhra: Department of Internal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
PMID: 31282179 DOI: 10.1177/1932296819860133

Abstract

BACKGROUND: To compare glycemic variability (GV) indices between patients with fibrocalculous pancreatic diabetes (FCPD) and Type 2 diabetes Mellitus (T2D) using continuous glucose monitoring (CGM).
METHODS: We measured GV indices using CGM (iPro™2 Professional CGM, Medtronic, USA) data in 61 patients each with FCPD and T2D who were matched for glycated hemoglobin A1c (HbA1c) and duration of diabetes. GlyCulator2 software was used to estimate the CGM-derived measures of GV (SD, mean amplitude of glycemic excursion [MAGE], continuous overall net glycemic action [CONGA], absolute means of daily differences [MODD], value, and coefficient of variance [%CV]), hypoglycemia (time spent below 70 mg/dL, AUC below 70 mg/dL, glycemic risk assessment diabetes equation hypoglycemia, Low Blood glucose Index), and hyperglycemia (time spent above 180 mg/dL at night [TSA > 180], AUC above 180 mg/dL [AUC > 180], glycemic risk assessment diabetes equation hyperglycemia, High Blood glucose Index [HBGI], and J index). The correlation of GV indices with HbA1c, duration of diabetes, and demographic and biochemical parameters were also assessed.
RESULTS: All the CGM-derived measures of GV (SD, MAGE, CONGA, MODD, and %CV), except value, were significantly higher in the FCPD group than in the T2D group ( < 0.05). Measures of hyperglycemia (TSA >180, AUC >180, HBGI, and J index) were significantly higher in the FCPD group than in the T2D group ( < 0.05). The measures of hypoglycemia were not significantly different between the two groups. All the hyperglycemia indices showed a positive correlation with HbA1c in both groups.
CONCLUSIONS: FCPD is associated with higher GV than is T2D. The findings of higher postprandial glycemic excursions in patients with FCPD could have potential therapeutic implications.

Keywords

CGM MAGE fibrocalculous pancreatic diabetes glycemic variability hypoglycemia type 2 diabetes

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MeSH Term

Blood Glucose
Blood Glucose Self-Monitoring
Diabetes Mellitus, Type 2
Glycated Hemoglobin
Humans
Hypoglycemia

Chemicals

Blood Glucose
Glycated Hemoglobin A
Journal Article Research Support, Non-U.S. Gov't
Article has an altmetric score of 3

Word Cloud

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