ECEESPE2025 Poster Presentations Diabetes and Insulin (143 abstracts)
1Marmara University School of Medicine, Istanbul, Türkiye; 2Marmara University School of Medicine, Pediatric Endocrinology and Diabetes, Istanbul, Türkiye
JOINT2206
Aim: Although children with type 1 diabetes facing significant financial constraints are provided with reimbursed continuous glucose monitoring (CGM) systems in Turkiye, many individuals with diabetes continue to encounter socioeconomic barriers to accessing CGM technology. To mitigate these challenges, we encourage families experiencing financial difficulties to wear sensors just before their routine follow-up visits. This approach aims to enhance patient/parents awareness and facilitate more accurate treatment decisions. This study aims to assess differences in metabolic control among patients utilizing reimbursed CGMs, self-funded intermittent CGMs, and self-funded continuous CGMs.
Methods: Between 2021 and 2023, data from 207 CGM users were collected from CareLink, LibreView, and Clarity databases. Patients were excluded if they were in honeymoon period, used insulin pumps, had less than 14 days of CGM data, fewer than two CGMs annually, fewer than two HbA1c tests per year, or missed follow-ups. The final cohort was divided into three groups: reimbursed users (Group-1), self-funded intermittent users (Group-2), and self-funded continuous users (Group-3). Intermittent users were defined as those using sensors at least twice (10-14 days period) a year. Each group was evaluated for pre- and post-CGM one-year averages of HbA1c and anthropometric data, also groups were compared with each other in terms of one-year averages of TIR, TAR, TBR, CV.
Results: A total of 147 patients (Group-1, n = 49; Group-2, n = 43; Group-3, n = 55) were included. Pre-CGM HbA1c levels were significantly higher in Group-1 compared to Groups 2 and 3 (P < 0. 001) (Table). One year after CGM use, Group-1 still had the poorest metabolic control, but it was the only group to show a significant decrease in HbA1c. Group-3 had the lowest post-CGM HbA1c (P < 0. 0001). Although Group-3 had higher TIR value compared to Group-2, there is no statistical significance was found (P = 0, 075).
Group-1 (n = 49) | Group-2 (n = 43) | Group-3 (n = 55) | p | |
Hba1c(%), mean±SD | 9. 27±2. 03 | 7. 72±2. 43 | 7. 48±1. 44 | 0. 0005 |
Post-CGM | ||||
Hba1c(%), mean±SD | 8. 45±1. 22 | 7. 57±1. 08 | 7. 05±0. 76 | <0. 0001 |
TIR(%), mean±SD | 40. 49±16. 44 | 54. 13±17. 83 | 61. 37±14. 57 | <0. 0001 |
TAR(%), mean±SD | 55. 58±17. 67 | 40. 15±18. 85 | 33. 55±14. 00 | <0. 0001 |
TBR(%), mean±SD | 2. 6(0-13. 0) | 3. 6(0-18. 3) | 3. 2(0-12. 0) | 0. 075 |
CV(%), mean±SD | 39. 14±8. 75 | 40. 15±7. 11 | 38. 16±7. 38 | 0. 45 |
Change in Hba1c | -0. 82* | -0. 15 | -0. 43 | |
*P = 0. 0023 |
Conclusion: Patients with poor metabolic control benefit most from CGM systems and should be prioritized for support, regardless of glycaemic outcomes. Although not statically significant and less than those using continuous CGM, individuals using intermittent CGM showed a minimal decrease in one-year average HbA1c.
Keywords: CGM, type-1 diabetes, metabolic control