ECE2022 Poster Presentations Diabetes, Obesity, Metabolism and Nutrition (202 abstracts)
Personalized glycemic response based Diabefly-Pro® digital therapeutics improves dietary patterns, glycemic control and reduces postprandial hyperglycemia in real-world settings
Shilpa Joshi 1 , Ritika Verma 2 , Mohammed Khader 2 , Sneha Nikte 3 , Suresh Ade 4 , Saifuddin Bandukwala 5 , Mitali Joshi 6 , Vinod Methil 7 , Mangesh Tiwaskar 8 & Arbinder Singal 9
1Fitterfly HealthTech Pvt Ltd, Department of Metabolic Nutrition, Navi Mumbai, India; 2Fitterfly HealthTech Pvt Ltd, Department of Scientific Writing and Research, Navi Mumbai, India; 3Dr Nikte Clinic, Department of Endocrinology and Diabetology, Mumbai, India; 4Ayush Diabetes and Neurology clinic, Department of Diabetology and Neurology, Mumbai, India; 5Advance Diabetes Care Clinic, Department of Internal Medicine, Mumbai, India; 6The Clinic, Department of Diabetology, Mumbai, India; 7Sweet Clinics, Department of Diabetology, Mumbai, India; 8Shilpa Medical Research Center, Department of Diabetology, Mumbai, India; 9Fitterfly HealthTech Pvt Ltd, Cheif Executive Officer, Navi Mumbai, India
Background: CGM based monitoring can help in development of personalized digital therapeutics programs based on the understanding of the effect of diet, physical activity and medications on everyday blood glucose excursions. The variation in intra-individual glycemic response to the same food has been reported in many studies. Thus, understanding of personalized glycemic response (PGR) of each individual becomes important for effective diabetes management.
Methods: De-identified data of 108 participants (Average Age: 40.86 ± 12.08 years, 36.11% females) with T2D in Diabefly-Pro®program was analyzed. The program provided 90 days PGR based lifestyle management support via digital meal logging through mobile application and remote health coaching. CGM data was collected in week 1 and week 2 with a modified lifestyle plan being introduced from week 2 of the program. All the parameters were analyzed for week 1 (baseline) and week 2 of the program. Net area under the curve (AUC) for 0-24h was calculated using trapezoidal rule. The incremental area under the curve (iAUC) was calculated at 1h-post breakfast. Paired t-test and spearman correlation method was used for statistical analysis with P< 0.05 considered as significant.
Results: A significant reduction in AUC by 44.71 ± 17.40 % was observed from an average week 1 AUC of 7328.59 ± 4265.79 mg/dl*h (P< 0.0001). iAUC post breakfast showed a significant reduction by 42.33 ± 22.90 % from a baseline average of 340.52 ± 202.19 mg/dl*h (P< 0.0001). The comparison of dietary recall in week 1 and week 2 showed that participants showed reduction in intake of calories (70.29 kcal; P=0.04) and carbohydrate (12.68 g; P=0.002). The percent reduction in AUC showed a significant correlation with the reduction in the amount of carbohydrate intake (ρ = 0.24, P=0.01). Time-in-range (TIR) improved significantly from a baseline of 67.35 ± 25.56 % to 70.05 ± 25.55 % (P=0.03) in week 2. Time-above-range (TAR) reduced significantly from a baseline of 27.13 ± 27.64 % to 22.13 ± 27.25 % (P< 0.0001). Reduction in TAR showed significant correlation with percent reduction in AUC (ρ = 0.32, P< 0.001).
Conclusion: Diabefly-Pro® program led to significant reduction in postprandial hyperglycemia while improving TIR and dietary behavior in people with diabetes after 7 days of modified lifestyle plan. PGR-based coaching can play an important role in achieving better glycemic control in the long-term.
Article tools
My recent searches
My recently viewed abstracts
Authors
Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
© Bioscientifica 2024 |
Privacy policy |
Cookie settings
BiosciAbstracts
Bioscientifica Abstracts is the gateway to a series of products that provide a permanent, citable record of abstracts for biomedical and life science conferences.
Find out more