1. Ramadan fasting in insulin-treated patients is associated with potentially unfavourable changes in glucose metrics: A flash glucose monitoring (FGM) study
- Author
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Ilham Saadane, Tomader Ali, Ahmed El-Laboudi, and Nader Lessan
- Subjects
Blood Glucose ,Male ,medicine.medical_specialty ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,United Arab Emirates ,030209 endocrinology & metabolism ,Type 2 diabetes ,Target range ,Islam ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,medicine ,Humans ,Hypoglycemic Agents ,Insulin ,030212 general & internal medicine ,business.industry ,Blood Glucose Self-Monitoring ,Incidence ,General Medicine ,Fasting ,Middle Aged ,medicine.disease ,Glucose ,Diabetes Mellitus, Type 2 ,Hyperglycemia ,Female ,business ,Oral hypoglycaemic - Abstract
Ramadan fasting (RF) can represent various challenges to glycaemic control especially in insulin-treated patients with diabetes. We aimed to assess the effect of RF on several glucose metrics using flash glucose monitoring (FGM).Complete FGM data for 29-30 days before, during and after Ramadan were available for 40 patients with type 1 (n = 13) and type 2 diabetes (n = 27) on insulin (with or without oral hypoglycaemic) treatment. Indicators of mean glucose, glucose variability (GV) and time in different glycaemic ranges were analysed.RF was associated with increase in time in hyperglycaemia (38.5 ± 18.2 vs 48.7 ± 20.7%; P 0.001) and decrease in time in hypoglycaemia (3.2 ± 2.8 vs 2.1 ± 2.1%; P = 0.003), and time in target range (56.3 ± 17.2 vs 47.9 ± 19.7%, P 0.001). There were no significant differences in markers of GV with RF; however, RF was associated with a significant reduction in GV during the day but not night time with an increase in the ensuing non-fasting period.In insulin-treated patients, RF is associated with an increase in time in hyperglycaemia, a reduced time in target range and nocturnal increase in GV, indicating a need for more refined management algorithms.
- Published
- 2020