Bojoga Irina, Ioacara Sorin, Malinici Elisabeta, Chiper Victor, Georgescu Olivia, Sirbu Anca Elena, Fica Simona
Department of Endocrinology, Diabetes Mellitus, Nutrition and Metabolic Disorders, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Department of Endocrinology, Diabetes Mellitus, Nutrition and Metabolic Disorders, "Elias" University Emergency Hospital, 011461 Bucharest, Romania.
Pediatr Rep. 2024 Dec 14;16(4):1188-1199. doi: 10.3390/pediatric16040100.
Insulin pumps coupled with continuous glucose monitoring sensors use algorithms to analyze real-time blood glucose levels. This allows for the suspension of insulin administration before hypoglycemic thresholds are reached or for adaptive tuning in hybrid closed-loop systems. This longitudinal retrospective study aims to analyze real-world glycemic outcomes in a pediatric population transitioning to such devices.
We evaluated children with type 1 diabetes mellitus (T1D) admitted to the Pediatric Diabetes Department from a major University Hospital in Bucharest, Romania, who transitioned to hybrid closed-loop or predictive low-glucose suspend system from either non-automated insulin pumps or multiple daily injections. The primary outcome was assessing the change in glycated hemoglobin (HbA1c) after initiating these devices. Secondary outcomes analyzed changes in glucose metrics from the 90 days prior to the baseline and follow-up visit.
51 children were included (58.8% girls), the mean age was 10.3 ± 3.7 years, and the mean follow-up duration was 13.2 ± 4.5 months. The analyzed parameters, such as HbA1c (6.9 ± 0.7% vs. 6.7 ± 0.6%, = 0.023), time in range (69.3 ± 11.2% vs. 76 ± 9.9%, < 0.001), time in tight range (47.4 ± 10.9% vs. 53.7 ± 10.7%, < 0.001), time below range (5.6 ± 2.9% vs. 3.5 ± 1.9%, < 0.001), time above range (25 ± 11.2% vs. 20.4 ± 9.4%, = 0.001), and coefficient of variation (37.9 ± 4.8% vs. 35.6 ± 4.6%, = 0.001), showed significant improvements.
The application of these sensor-integrated insulin pumps can significantly enhance metabolic control in pediatric populations, minimizing glycemic variations to mitigate complications and enrich the quality of life.
胰岛素泵与持续葡萄糖监测传感器相结合,使用算法分析实时血糖水平。这使得在达到低血糖阈值之前可以暂停胰岛素给药,或在混合闭环系统中进行自适应调整。这项纵向回顾性研究旨在分析过渡到此类设备的儿科人群的实际血糖结果。
我们评估了罗马尼亚布加勒斯特一家大型大学医院儿科糖尿病科收治的1型糖尿病(T1D)儿童,他们从非自动化胰岛素泵或每日多次注射过渡到混合闭环或预测性低血糖暂停系统。主要结局是评估启动这些设备后糖化血红蛋白(HbA1c)的变化。次要结局分析了基线和随访前90天血糖指标的变化。
纳入51名儿童(58.8%为女孩),平均年龄为10.3±3.7岁,平均随访时间为13.2±4.5个月。分析的参数,如HbA1c(6.9±0.7%对6.7±0.6%,P = 0.023)、血糖达标时间(69.3±11.2%对76±9.9%,P < 0.001)紧血糖范围时间(47.4±10.9%对53.7±10.7%,P < 0.001)、血糖低于范围时间(5.6±2.9%对3.5±1.9%,P < 0.001)、血糖高于范围时间(25±11.2%对20.4±9.4%,P = 0.001)和变异系数(37.9±4.8%对35.6±4.6%,P = 0.001)均显示出显著改善。
这些集成传感器的胰岛素泵的应用可以显著改善儿科人群的代谢控制,将血糖波动降至最低以减轻并发症并提高生活质量。