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通过连续血糖监测测定的餐前血糖变化率可预测1型糖尿病患者的餐后血糖波动:对治疗的启示。

Rate of Change of Premeal Glucose Measured by Continuous Glucose Monitoring Predicts Postmeal Glycemic Excursions in Patients With Type 1 Diabetes: Implications for Therapy.

作者信息

Majithia Amit R, Wiltschko Alexander B, Zheng Hui, Walford Geoffrey A, Nathan David M

机构信息

1 Program in Medical & Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.

2 Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

J Diabetes Sci Technol. 2018 Jan;12(1):76-82. doi: 10.1177/1932296817725756. Epub 2017 Sep 4.

DOI:10.1177/1932296817725756
PMID:28868899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5761983/
Abstract

BACKGROUND

Patients with type 1 diabetes routinely utilize a single premeal fingerstick glucose to determine premeal insulin doses. Continuous glucose monitoring (CGM) provides much richer glycemic trend information, including glycemic slope (GS). How to incorporate this information into dosing decisions remains an open question.

METHODS

We examined the relationship between premeal GS and postmeal glycemic excursions in 240 individuals with type 1 diabetes receiving CGM augmented insulin pump therapy. Over 23.5 million CGM values were synchronized with 264 500 meals. CGM values were integrated 2 hours premeal to compute GS and 2 hours postmeal to compute glycemic excursion outcomes. Postmeal hyperglycemia (integrated CGM glucose >180 mg/dL*hr) and postmeal hypoglycemic events (any CGM glucose < 70 mg/dL) were tabulated according to positive/negative premeal GS and according to GS bins commonly displayed as rate-of-change arrows on CGM devices.

RESULTS

Positive versus negative premeal GS was associated with a 2.28-fold (95% CI 2.25-2.32) risk of postmeal hyperglycemia. Negative versus positive premeal GS was associated with a 2.36-fold (95% CI 2.25-2.43) increase in one or more postprandial hypoglycemic events. Premeal GS in the bin currently displayed as "no change" on existing CGM devices (-1 to 1 mg/dL/min), conferred a 1.82-fold (95% CI 1.79-1.86) risk of postprandial hyperglycemia when positive and a 2.06-fold (95% CI 1.99-2.15) increased risk of postprandial hypoglycemia when negative.

CONCLUSION

Premeal GS predicts postmeal glycemic excursions and may help inform insulin dosing decisions. Rate-of-change arrows on existing devices obscure clinically actionable glycemic trend information from CGM users.

摘要

背景

1型糖尿病患者通常通过单次餐前指尖血糖检测来确定餐前胰岛素剂量。持续葡萄糖监测(CGM)可提供更丰富的血糖趋势信息,包括血糖斜率(GS)。如何将这些信息纳入剂量决策仍是一个悬而未决的问题。

方法

我们研究了240例接受CGM强化胰岛素泵治疗的1型糖尿病患者餐前GS与餐后血糖波动之间的关系。超过2350万个CGM值与264500餐进行了同步。CGM值在餐前2小时进行整合以计算GS,餐后2小时进行整合以计算血糖波动结果。餐后高血糖(整合后的CGM血糖>180mg/dL*小时)和餐后低血糖事件(任何CGM血糖<70mg/dL)根据餐前GS的正负以及CGM设备上通常以变化率箭头显示的GS区间进行列表。

结果

餐前GS为正与餐后高血糖风险增加至2.28倍(95%CI 2.25-2.32)相关。餐前GS为负与一次或多次餐后低血糖事件增加2.36倍(95%CI 2.25-2.43)相关。现有CGM设备上当前显示为“无变化”的区间(-1至1mg/dL/分钟)内的餐前GS,为正时餐后高血糖风险增加至1.82倍(95%CI 1.79-1.86),为负时餐后低血糖风险增加2.06倍(95%CI 1.99-2.15)。

结论

餐前GS可预测餐后血糖波动,并可能有助于指导胰岛素剂量决策。现有设备上的变化率箭头使CGM用户无法获取具有临床可操作性的血糖趋势信息。

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本文引用的文献

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