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[糖尿病中的生物标志物:新技术的贡献与差异。病例报告]

[Biomarkers in diabetes mellitus: contributions and discrepancies of new technologies. A case report].

作者信息

Mialon Florian, Catargi Bogdan, Rami Lila, Barat Pascal, Bedel Aurélie, Lacape Geneviève, Bérard Annie M, Beauvieux Marie-Christine

机构信息

Service de biochimie, CHU de Bordeaux, France.

Université de Bordeaux, France, Hôpital Saint-André, CHU de Bordeaux, France.

出版信息

Ann Biol Clin (Paris). 2021 Oct 1;79(5):445-451. doi: 10.1684/abc.2021.1680.

Abstract

Potential discrepancies between laboratory and estimated (from Continuous Glucose Monitoring (CGM)) glycated hemoglobin (HbA1c) have been reported by diabetologists. CGM devices produce an eA1c derived from average glucose and correlated with Time-in-Range (TIR, %) which is the relative time spent in a range of normal glycaemia. Through a case report, we studied the potential causes for these discrepancies. CGM devices estimate eA1c during the lifespan of the sensor, that is replaced every 14 days and HbA1c is a retrospective data of exposure to hyperglycemia over 8 to 12 weeks. In our case report, the patient had a poor glycemic control resulting in 9% eA1c compared to 7,4% HbA1c got by delocalized immune-assay (Siemens DCA-Vantage), confirmed at 7,7% by HPLC (Variant II Turbo). On top of the CGM data, an increased labile A1c (LA1c) fraction was found on the patient's HbA1c HPLC profile, both in favor of a recently altered glycemic control. Thus, recent and/or substantial variations in glycemic control will increase the gap between HbA1c and eA1c, being a potential source of therapeutic errors. The differences of those markers, particularly the time window during which it is estimated, make them hardly comparable. As the use of CGM is becoming widespread, it is important to understand and harness its data and biomarkers.

摘要

糖尿病专家报告了实验室检测的糖化血红蛋白(HbA1c)与通过持续葡萄糖监测(CGM)估算的糖化血红蛋白之间可能存在的差异。CGM设备可生成基于平均血糖水平得出的估算糖化血红蛋白(eA1c),且该指标与血糖达标时间(TIR,%)相关,TIR指处于正常血糖范围内的相对时间。通过一个病例报告,我们研究了这些差异的潜在原因。CGM设备在传感器的使用寿命期间估算eA1c,传感器每14天更换一次,而HbA1c是过去8至12周内高血糖暴露情况的回顾性数据。在我们的病例报告中,患者血糖控制不佳,导致eA1c为9%,而通过非本地化免疫测定法(西门子DCA-Vantage)测得的HbA1c为7.4%,经高效液相色谱法(Variant II Turbo)确认后为7.7%。除了CGM数据外,在患者的HbA1c高效液相色谱图上还发现不稳定糖化血红蛋白(LA1c)部分增加,这两者均表明近期血糖控制情况发生了变化。因此,近期和/或血糖控制的大幅变化会加大HbA1c与eA1c之间的差距,这可能是治疗错误的一个潜在来源。这些指标的差异,尤其是估算它们的时间窗口不同,使得它们难以进行比较。随着CGM的使用日益广泛,理解并利用其数据和生物标志物非常重要。

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