Glycemic Variability Before And After Hypoglycemia Across Different Timeframes In Type 1 Diabetes With And Without Automated Insulin Delivery
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arXiv
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| Format: | Preprint |
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2025
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| author | Zafar, Ahtsham Solanke, Abiodun Lewis, Dana M. Shahid, Arsalan |
| author_facet | Zafar, Ahtsham Solanke, Abiodun Lewis, Dana M. Shahid, Arsalan |
| contents | Managing Type 1 diabetes (T1D) aims to optimize glucose levels within the target range while minimizing hyperglycemia and hypoglycemia. Exercise presents additional challenges due to complex effects on glucose dynamics. Despite advancements in diabetes technology, significant gaps remain in understanding the relationship between exercise, glycemic variability (GV), and hypoglycemia in both automated insulin delivery (AID) and non-AID users. Additionally, limited research explores the temporal progression of GV before and after hypoglycemia and the impact of long-duration episodes on glucose recovery. This study analyses the Type 1 Diabetes and Exercise Initiative (T1DEXI) dataset, assessing GV, hypoglycemia, gender, and exercise interactions in AID (n=222) and non-AID (n=276) users. The study examined patterns of glycemic variability metrics like time below range (TBR) surrounding hypoglycemia events, focusing on the 48 hours before and after these events. We further assess the impact of different hypoglycemia levels (41-50 mg/dL, 51-60 mg/dL, and 61-70 mg/dL) on post-event glucose stability. GV increased before and after hypoglycemia up to 48 hours in both AID and non-AID users, with statistically significant differences. TBR elevation persisted across all groups, peaking around hypoglycemic episodes. Notably, females using AID achieved significantly improved glucose stability compared to non-AID females - a larger within-group difference than that observed in males. Individual-level AID analyses showed that long hypoglycemia episodes (>40 minutes) led to prolonged TBR elevation, suggesting slower recovery despite AID intervention. GV trends may aid in predicting hypoglycemia over extended periods. Integrating GV patterns into AID systems could enhance glucose stability and mitigate hypoglycemia cycles. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_01624 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Glycemic Variability Before And After Hypoglycemia Across Different Timeframes In Type 1 Diabetes With And Without Automated Insulin Delivery Zafar, Ahtsham Solanke, Abiodun Lewis, Dana M. Shahid, Arsalan Quantitative Methods Managing Type 1 diabetes (T1D) aims to optimize glucose levels within the target range while minimizing hyperglycemia and hypoglycemia. Exercise presents additional challenges due to complex effects on glucose dynamics. Despite advancements in diabetes technology, significant gaps remain in understanding the relationship between exercise, glycemic variability (GV), and hypoglycemia in both automated insulin delivery (AID) and non-AID users. Additionally, limited research explores the temporal progression of GV before and after hypoglycemia and the impact of long-duration episodes on glucose recovery. This study analyses the Type 1 Diabetes and Exercise Initiative (T1DEXI) dataset, assessing GV, hypoglycemia, gender, and exercise interactions in AID (n=222) and non-AID (n=276) users. The study examined patterns of glycemic variability metrics like time below range (TBR) surrounding hypoglycemia events, focusing on the 48 hours before and after these events. We further assess the impact of different hypoglycemia levels (41-50 mg/dL, 51-60 mg/dL, and 61-70 mg/dL) on post-event glucose stability. GV increased before and after hypoglycemia up to 48 hours in both AID and non-AID users, with statistically significant differences. TBR elevation persisted across all groups, peaking around hypoglycemic episodes. Notably, females using AID achieved significantly improved glucose stability compared to non-AID females - a larger within-group difference than that observed in males. Individual-level AID analyses showed that long hypoglycemia episodes (>40 minutes) led to prolonged TBR elevation, suggesting slower recovery despite AID intervention. GV trends may aid in predicting hypoglycemia over extended periods. Integrating GV patterns into AID systems could enhance glucose stability and mitigate hypoglycemia cycles. |
| title | Glycemic Variability Before And After Hypoglycemia Across Different Timeframes In Type 1 Diabetes With And Without Automated Insulin Delivery |
| topic | Quantitative Methods |
| url | https://arxiv.org/abs/2504.01624 |