Medical Affairs and Data Science and Informatics, Medtronic Diabetes, Northridge, California.
Diabetes Technol Ther. 2019 Feb;21(2):81-85. doi: 10.1089/dia.2018.0310. Epub 2018 Dec 21.
There has been recent recognition of the limitations of hemoglobin A1C (HbA1C) in describing both short- and long-term glycemic control. Continuous glucose monitoring (CGM) provides robust data about short-term glycemic control and provides metrics such as percent time-in-range (%TIR) that are now routinely reported to describe the change in glycemic control after an intervention in a clinical study or a change in therapy in a patient's care. Recent studies have shown that %TIR may have similar associations with diabetes microvascular complications as does HbA1C. The relationship of %TIR to the long-standing metric of overall glycemic control has not been clearly defined to date.
Articles that report paired HbA1C and %TIR metrics (n = 1137) or HbA1C and frequent self-monitoring of blood glucose (SMBG) (n = 1440) across a wide range of HbA1Cs, technologies, and subject demographics were reviewed to determine the correlation of these metrics.
Selected paired HbA1C and %TIR data from 18 articles were evaluated by linear regression analysis and Pearson's correlation coefficient. There was an excellent correlation between the two (R = -0.84; R = 0.71). This relationship did not change after excluding one study that used SMBG or six studies with ≤7 days of CGM. For every absolute 10% change in %TIR, there was a 0.8% (9 mmol/mol) change in HbA1C.
There is a good correlation between HbA1C and %TIR that may permit the transition to %TIR as the preferred metric for determining the outcome of clinical studies, predicting of the risk of diabetes complications, and assessing of an individual patient's glycemic control.
近年来,人们已经认识到血红蛋白 A1C(HbA1C)在描述短期和长期血糖控制方面存在局限性。连续血糖监测(CGM)提供了关于短期血糖控制的强大数据,并提供了诸如时间在目标范围内的百分比(%TIR)等指标,这些指标现在通常用于描述临床研究中干预后的血糖控制变化或患者治疗中的治疗变化。最近的研究表明,%TIR 与糖尿病微血管并发症的相关性可能与 HbA1C 相似。到目前为止,%TIR 与长期整体血糖控制指标的关系尚未明确界定。
综述了报告配对 HbA1C 和 %TIR 指标(n=1137)或 HbA1C 和频繁自我监测血糖(SMBG)(n=1440)的文章,这些指标涵盖了广泛的 HbA1C、技术和研究对象人群,以确定这些指标的相关性。
通过线性回归分析和 Pearson 相关系数对 18 篇文章中的选定配对 HbA1C 和 %TIR 数据进行了评估。两者之间存在极好的相关性(R=-0.84;R=0.71)。在排除使用 SMBG 的一项研究和≤7 天 CGM 的六项研究后,这种关系并未改变。%TIR 每绝对变化 10%,HbA1C 就会相应变化 0.8%(9mmol/mol)。
HbA1C 和 %TIR 之间存在良好的相关性,这可能使 %TIR 成为确定临床研究结果、预测糖尿病并发症风险以及评估个体患者血糖控制的首选指标。