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Value of Capillary Glucose Profiles in Assessing Risk of Nocturnal Hypoglycemia in Type?1 Diabetes Based on Continuous Glucose Monitoring

机译:毛细血管葡萄糖谱的价值在基于连续葡萄糖监测的1型糖尿病患者夜间低血糖危险中的价值

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IntroductionThis study aimed to evaluate the occurrence of nocturnal hypoglycemia in type?1 diabetes (T1D) based on continuous glucose monitoring (CGM), and to explore the value of capillary glucose profiles in assessing the risk of nocturnal hypoglycemia. The study also intended to develop a predictive model to identify people with high risk of nocturnal hypoglycemia.MethodsA total of 169 participants with T1D received 3?days of blinded CGM; meanwhile, their self-monitoring blood glucose (SMBG) profiles were recorded. Logistic regression analyses were used to evaluate contributory factors of nocturnal hypoglycemia. Potential indicators were estimated using area under receiver operator curve (AUC) analyses.ResultsDuring the retrospective CGM period, 95 (56.2%) participants with T1D reported 238 events of hypoglycemia, and 69 (29.0%) of these episodes occurred during the nighttime. Increased risk of nocturnal hypoglycemia correlated with lower HbA1c, glycated albumin, and mean blood glucose (OR?=?0.790, 0.940, 0.651, respectively; P ?0.05) and higher standard deviation, mean amplitude of glycemic excursions, and low blood glucose index (OR?=?1.463, 1.168, 4.035, respectively; P ?0.05) after adjustment for age and duration. Of the daily SMBG profiles, fasting blood glucose (OR?=?0.643, P =?0.001) and blood glucose at bedtime (OR?=?0.851, P =?0.037) were associated with the occurrence of nocturnal hypoglycemia. The BGn model, which was derived from the variation of capillary glucose, could discriminate individuals with increased risk of nocturnal hypoglycemia (AUC?=?0.774).ConclusionsNocturnal hypoglycemia constitutes nearly one-third of hypoglycemic events in people with T1D. Strict glycemic control and great fluctuation of glucose are potential contributory factors. Daily SMBG profiles and the BGn model could help assess the risk of nocturnal hypoglycemia in T1D, which may support further development of preventive strategies.
机译:基于连续葡萄糖监测(CGM),旨在评估患有1型糖尿病(T1D)的夜行黄血糖的发生,并探讨毛细血管葡萄糖曲线评估夜间低血糖风险的夜间低血糖(T1D)的发生。该研究还旨在开发一种预测模型,以识别夜行甘油血糖风险高的人..T1D的169名参与者共有3个?天盲的CGM;同时,记录了它们的自我监测血糖(SMBG)型材。 Logistic回归分析用于评估夜间低血糖的贡献因素。使用接收器操作符曲线(AUC)分析估计潜在指标估计。提出回顾性CGM期,95(56.2%)T1D的参与者报告了238例低血糖事件,69例(29.0%)这些发作期间发生在夜间。增加夜间低血糖的风险与下部HBA1C,糖化白蛋白和平均血糖(或?= 0.790,0.940,0.940,0.940,0.940,0.940,0.651)以及血糖偏移的平均振幅和低血糖的平均血糖索引(或?=?1.463,1.168,4.035,分别调整年龄和持续时间后P <0.05)。在每日SMBG型材中,空腹血糖(或?= 0.643,p = 0.001)和睡前的血糖(或?=Δ0.851,p = 0.037)与夜间低血糖发生有关。来自毛细血管葡萄糖的变异的BGN模型可以区分夜间低血糖风险增加(AUC?= 0.774).Conclusnocturnal低血糖构成T1D人们的近三分之一的低血糖事件。严格的血糖控制和葡萄糖的大波动是潜在的贡献因素。每日SMBG配置文件和BGN模型可以帮助评估T1D中夜间低血糖的风险,这可能支持进一步发展预防策略。

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