首页> 外文期刊>Diabetes care >Glucose variability assessed by low blood glucose index is predictive of hypoglycemic events in patients with type 1 diabetes switched to pump therapy.
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Glucose variability assessed by low blood glucose index is predictive of hypoglycemic events in patients with type 1 diabetes switched to pump therapy.

机译:通过低血糖指数评估的葡萄糖变异性可预测转用泵治疗的1型糖尿病患者的降血糖事件。

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OBJECTIVE To determine whether subgroups of type 1 diabetic patients with different glucose variability indices respond differently to continuous subcutaneous insulin infusion (CSII) in terms of reduced hypoglycemic events. RESEARCH DESIGN AND METHODS We studied 50 adults with long-standing type 1 diabetes switched to CSII because of persistently high A1C or frequent hypoglycemia despite well-managed intensive basal-bolus therapy. We compared A1C, hypoglycemic events, and glucose variability from self-monitoring of blood glucose profiles at baseline and after 6 months of CSII. Regression analysis was performed to identify predictors of response. RESULTS In multivariate analysis, baseline low blood glucose index (LBGI) was the best independent predictor of hypoglycemia outcome on CSII (R(2) = 0.195, P = 0.0013). An ROC curve analysis demonstrated a sensitivity of 70.8% (95% CI 48.9-87.4) and specificity of 73.1% (52.2-88.4) by using the LBGI cutoff of 3.34 as predictor of reduction of hypoglycemia on CSII. By grouping patients by LBGI tertiles, we found a 23.3% reduction in hypoglycemic events (<60 mg/dL [3.3 mmol/L]) in the third tertile (range 4.18-9.34) without change in A1C (P < 0.05). Conversely, the first tertile (range 0.62-2.05) demonstrated the greatest A1C reduction, -0.99% (P = 0.00001), but with increasing hypoglycemia. CONCLUSIONS Baseline LBGI predicts the outcome of type 1 diabetic patients who switch to CSII in terms of hypoglycemia.
机译:目的确定具有不同葡萄糖变异性指数的1型糖尿病患者亚组是否对减少持续降血糖事件有不同的反应,以持续皮下注射胰岛素(CSII)。研究设计与方法我们研究了50例长期存在1型糖尿病的成年人,尽管他们对A1C进行了严格控制或强化基础推注疗法,但由于持续高A1C或频繁的低血糖症而改用CSII。我们比较了基线和CSII 6个月后自我监测血糖曲线的A1C,降血糖事件和血糖变异性。进行回归分析以识别反应的预测因子。结果在多变量分析中,基线低血糖指数(LBGI)是CSII发生低血糖结果的最佳独立预测因子(R(2)= 0.195,P = 0.0013)。 ROC曲线分析显示,通过使用3.34的LBGI临界值作为CSII低血糖减少的预测指标,灵敏度为70.8%(95%CI 48.9-87.4),特异性为73.1%(52.2-88.4)。通过按LBGI三分位数对患者进行分组,我们发现第三三分位数(范围4.18-9.34)中的降血糖事件减少了23.3%(<60 mg / dL [3.3 mmol / L]),而A1C不变(P <0.05)。相反,第一个三分位数(范围0.62-2.05)显示出最大的A1C降低,-0.99%(P = 0.00001),但低血糖增加。结论基线LBGI可以预测因低血糖而转为CSII的1型糖尿病患者的预后。

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