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无论糖化血红蛋白水平如何或糖尿病治疗如何,胰岛素分泌受损可预测 2 型糖尿病患者血糖变异性不稳定和达标时间不足。

Impaired insulin secretion predicting unstable glycemic variability and time below range in type 2 diabetes patients regardless of glycated hemoglobin or diabetes treatment.

机构信息

Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Division of Diabetes and Endocrinology, Department of Medicine, NTT Sapporo Medical Center, Sapporo, Japan.

出版信息

J Diabetes Investig. 2021 May;12(5):738-746. doi: 10.1111/jdi.13426. Epub 2020 Nov 9.

DOI:10.1111/jdi.13426
PMID:33021063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8089015/
Abstract

AIMS/INTRODUCTION: To identify the coefficient of variation (CV) threshold for unstable glucose variability (GV) and hypoglycemia, and to characterize a patient population with unstable GV and hypoglycemia.

MATERIALS AND METHODS

This was an observational study that enrolled 284 Japanese outpatients with type 2 diabetes who underwent continuous glucose monitoring. The C-peptide index (CPI = [(fasting serum C-peptide) / (plasma glucose)] × 100) was used as a marker of endogenous insulin secretion. The CV threshold between stable and unstable GV was defined as the upper limit of the CV distribution in the subgroup of patients who did not receive insulin nor insulin secretagogues (relatively stable GV subgroup, n = 104). The optimal CV range corresponding to time below target range ≥4% was determined for all patients using receiver operating characteristic curve analysis. Various characteristics of patients with unstable GV and hypoglycemia were extracted using multivariate logistic regression analysis.

RESULTS

The upper limit of the CV in the relatively stable GV subgroup was 40. The optimal CV range corresponding to time below target range ≥4% was also defined as CV ≥40 (area under the curve 0.85) for all patients. The CPI was an independent risk for CV ≥40 (odds ratio 0.17, 95% confidence interval 0.04-0.50, P < 0.01). The optimal cut-off point for CPI to predict a CV cut-off value of 40 was equivalent to 0.81 (area under the curve 0.80).

CONCLUSIONS

A CV of 40 discriminates unstable GV and hypoglycemia from stable GV in Japanese outpatients with type 2 diabetes. Impaired insulin secretion might affect the stability of GV.

摘要

目的/引言:确定不稳定血糖变异性(GV)和低血糖的变异系数(CV)阈值,并描述存在不稳定 GV 和低血糖的患者人群特征。

材料和方法

这是一项观察性研究,纳入了 284 名接受连续血糖监测的日本 2 型糖尿病门诊患者。C 肽指数(CPI = [(空腹血清 C 肽) / (血糖)] × 100)被用作内源性胰岛素分泌的标志物。将无胰岛素和胰岛素促分泌剂治疗(相对稳定 GV 亚组,n = 104)患者组中 CV 分布上限定义为稳定与不稳定 GV 之间的 CV 阈值。使用受试者工作特征曲线分析确定所有患者中时间低于目标范围≥4%的最佳 CV 范围。使用多变量逻辑回归分析提取不稳定 GV 和低血糖患者的各种特征。

结果

相对稳定 GV 亚组中 CV 的上限为 40。对于所有患者,时间低于目标范围≥4%的最佳 CV 范围也定义为 CV≥40(曲线下面积 0.85)。CPI 是 CV≥40 的独立危险因素(比值比 0.17,95%置信区间 0.04-0.50,P<0.01)。预测 CV 截值为 40 的 CPI 最佳截断值相当于 0.81(曲线下面积 0.80)。

结论

CV 值为 40 可区分日本 2 型糖尿病门诊患者的稳定 GV 和不稳定 GV 及低血糖。胰岛素分泌受损可能会影响 GV 的稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/10a1a0dc600a/JDI-12-738-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/01b29af33bd0/JDI-12-738-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/553b33c5659c/JDI-12-738-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/fbe1e077322e/JDI-12-738-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/10a1a0dc600a/JDI-12-738-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/01b29af33bd0/JDI-12-738-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/553b33c5659c/JDI-12-738-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/fbe1e077322e/JDI-12-738-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a046/8089015/10a1a0dc600a/JDI-12-738-g002.jpg

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