Performance of flash continuous glucose monitoring and glycemic marker correlations in Chinese pregnant women with non-type 1 diabetes.

IF 4.6 3区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Ling Lyu, Yi-Ling Huang, Yu Huang, Ze-Yu Wu, Fan Ping, Yu-Xiu Li
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引用次数: 0

Abstract

Background: Maternal diabetes significantly increases the risk of adverse maternal and neonatal outcomes. Traditional self-monitoring of blood glucose is often invasive and limited in its ability to capture glycemic variability. Flash continuous glucose monitoring (FCGM) offers a promising alternative; however, its reliability and correlation with biochemical markers such as hemoglobin A1c (HbA1c) and glycated albumin (GA) in pregnant women with gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (T2DM) remain underexplored.

Aim: To evaluate the performance of the FreeStyle Libre H FCGM against plasma glucose and its correlations with HbA1c and GA.

Methods: This prospective observational study involved 152 pregnant women with GDM or T2DM, with intermittent collection of venous plasma glucose, HbA1c, GA, and concurrent FCGM data at regular intervals at a single center. Relationships were evaluated using restricted cubic spline and mixed-effects models. Receiver operating characteristic curve analysis was performed to compare the ability of HbA1c and GA to detect suboptimal glycemic control.

Results: Analysis of 507 FCGM-plasma glucose pairs revealed an overall mean absolute relative difference of 7.96%. Mean absolute relative differences were 9.22%, 7.75%, and 4.15% for low (3.5-4.4 mmol/L), medium (4.5-7.8 mmol/L), and high (7.9-13 mmol/L) glucose levels, respectively. Most values fell within zone A or zone B on the Clarke and Parkes Error Grids. Bland-Altman analysis indicated a slight underestimation by FCGM (-0.121 mmol/L). Restricted cubic spline analysis revealed significant linear or nonlinear associations between HbA1c/GA and mean glucose, time in range, time above range, and coefficient of variation, but not time below range. Both HbA1c and GA were influenced by gestational age and pregestational body mass index. Receiver operating characteristic analysis showed that HbA1c had comparable or superior performance to GA in detecting suboptimal glycemic control based on FCGM-derived thresholds.

Conclusion: The FCGM system served as a validated reference for evaluating glycemic markers in pregnant women with T2DM and GDM. HbA1c reliably assessed average glycemia, while GA provided complementary insight.

Abstract Image

Abstract Image

中国非1型糖尿病孕妇瞬时连续血糖监测与血糖指标相关性研究
背景:产妇糖尿病显著增加产妇和新生儿不良结局的风险。传统的血糖自我监测通常是侵入性的,其捕捉血糖变异性的能力有限。快速连续血糖监测(FCGM)提供了一个有希望的替代方案;然而,在妊娠期糖尿病(GDM)和2型糖尿病(T2DM)孕妇中,其可靠性及其与血红蛋白A1c (HbA1c)和糖化白蛋白(GA)等生化指标的相关性仍未得到充分研究。目的:评价FreeStyle Libre H FCGM抗血糖的性能及其与HbA1c和GA的相关性。方法:这项前瞻性观察性研究纳入了152名患有GDM或T2DM的孕妇,在单个中心定期间歇收集静脉血糖、HbA1c、GA和同时的FCGM数据。使用限制三次样条和混合效应模型评估关系。进行受试者工作特征曲线分析,比较HbA1c和GA检测亚理想血糖控制的能力。结果:分析507对fcgm -血浆葡萄糖,总体平均绝对相对差值为7.96%。低(3.5-4.4 mmol/L)、中(4.5-7.8 mmol/L)和高(7.9-13 mmol/L)血糖水平的平均绝对相对差异分别为9.22%、7.75%和4.15%。在Clarke和Parkes误差网格上,大多数值落在A区或B区。Bland-Altman分析显示FCGM略微低估(-0.121 mmol/L)。限制三次样条分析显示,HbA1c/GA与平均血糖、范围内时间、范围以上时间和变异系数之间存在显著的线性或非线性关联,而低于范围的时间则没有。HbA1c和GA均受胎龄和孕前体重指数的影响。受试者工作特征分析显示,基于fcgm衍生阈值,HbA1c在检测次优血糖控制方面与GA具有相当或更好的性能。结论:FCGM系统可作为评估T2DM和GDM孕妇血糖指标的有效参考。HbA1c可靠地评估了平均血糖,而GA提供了补充的见解。
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来源期刊
World Journal of Diabetes
World Journal of Diabetes ENDOCRINOLOGY & METABOLISM-
自引率
2.40%
发文量
909
期刊介绍: The WJD is a high-quality, peer reviewed, open-access journal. The primary task of WJD is to rapidly publish high-quality original articles, reviews, editorials, and case reports in the field of diabetes. In order to promote productive academic communication, the peer review process for the WJD is transparent; to this end, all published manuscripts are accompanied by the anonymized reviewers’ comments as well as the authors’ responses. The primary aims of the WJD are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in diabetes. Scope: Diabetes Complications, Experimental Diabetes Mellitus, Type 1 Diabetes Mellitus, Type 2 Diabetes Mellitus, Diabetes, Gestational, Diabetic Angiopathies, Diabetic Cardiomyopathies, Diabetic Coma, Diabetic Ketoacidosis, Diabetic Nephropathies, Diabetic Neuropathies, Donohue Syndrome, Fetal Macrosomia, and Prediabetic State.
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