透析前糖尿病肾病患者平均血糖估算公式评估

IF 0.7 4区 医学 Q4 ENDOCRINOLOGY & METABOLISM
Yi Lu, Xiangyu Wang, Qian Zhang, Yaoming Xue
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引用次数: 0

摘要

根据血红蛋白 A1c(HbA1c)估计平均血糖(AG)有助于指导糖尿病管理,因此已建立了多个 AG-HbA1c 方程。然而,根据现有的 AG-HbA1c 方程计算出的估计 AG 能否评估透析前糖尿病肾病(DKD)患者的血糖控制情况尚不清楚。本研究旨在评估根据现有公式计算出的估计 AG 在透析前评估糖尿病肾病患者血糖控制情况的准确性。此外,我们还研究了透析前 DKD 患者 AG 与 HbA1c 之间的关系。方法在这项回顾性研究中,我们以随机抽样的方式收集了 2018 年 8 月至 2021 年 8 月期间在一个中心住院期间有完整闪光血糖监测(FGM)数据的 71 例透析前中国 DKD 患者的数据。测量的AG来自FGM系统,并与常用的AG-HbA1c方程(ADAG研究中开发的方程)得出的估计AG进行比较,此外还有一个在CKD中建立的公式(ADAG-CKD方程)。AG-HbA1c方程的性能通过平均绝对差值(MAD)/平均绝对相对差值(MARD)和Bland-Altman检验进行评估。结果71例透析前DKD中,80%为2型糖尿病。平均年龄为 57 ± 13.8 岁,平均 eGFR 为 66.3 ± 32.3 mL.min/(1.73 m2)。平均 HbA1c 为 8.4 ± 2.2 (%),测量的 AG 为 150.2 ± 40.3 (mg/dL)。ADAG和ADAG-CKD方程明显高估了测量的AG。ADAG和ADAG-CKD方程都不能准确反映测量的AG(MAD分别为2.42 vs. 3.42 mmol/L;MARD分别为33.3% vs. 46.7%;p <0.01)。我们对透析前 DKD 患者的 AG 与 HbA1c 之间的关系进行了如下研究:AG (mmol/L) = 0.48 × HbA1c (%) + 4.36。此外,利用多元回归分析,HbA1c、糖尿病类型、体重指数 (BMI) 和 CKD 分期解释了测量 AG 变异的 42% (r = 0.68,R2 = 0.42,p < 0.01)。在将 HbA1c 转化为透析前 DKD 患者的 AG 值时,应考虑糖尿病类型、体重指数和 CKD 分期。建议根据目标人群调整 AG-HbA1c 方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessment of equations estimating average glucose among patients with diabetic kidney disease before dialysis

Assessment of equations estimating average glucose among patients with diabetic kidney disease before dialysis

Objective

Estimation of average glucose (AG) from hemoglobin A1c (HbA1c) helps guide diabetes management, and thus several AG-HbA1c equations have been constructed. However, it is not clear whether estimated AG calculated from existing AG-HbA1c equations could evaluate glycemic control in patients diabetic kidney disease (DKD) before dialysis. This study is aimed at evaluating the accuracy of estimated AG which is calculated from existing equations to assess glycemic control in DKD before dialysis. Additionally, we examined the relationship between AG and HbA1c in DKD before dialysis.

Methods

In this retrospective study, we collected data of 71 Chinese patients with DKD before dialysis who had a complete flash glucose monitoring (FGM) data during hospitalization in a single center between August 2018 and August 2021 by casually sampling. Measured AG was derived from the FGM system and compared to estimated AG derived from a frequently used AG-HbA1c equation (that developed in ADAG study), in addition to a formula established in CKD (that of ADAG-CKD equation). Performance of AG-HbA1c equations was evaluated by mean absolute difference (MAD)/mean absolute relative difference (MARD) and Bland–Altman test. Linear regression analysis was used to investigate the relationship of AG and HbA1c in DKD before dialysis.

Results

Among the 71 DKD before dialysis, 80% were type 2 diabetes. The mean age was 57 ± 13.8 years, and mean eGFR was 66.3 ± 32.3 mL.min/(1.73 m2). Mean HbA1c was 8.4 ± 2.2 (%), and measured AG was 150.2 ± 40.3 (mg/dL). Measured AG was significantly overestimated by equations ADAG and ADAG-CKD. Both ADAG and ADAG-CKD equations did not reflect the measured AG accurately (MAD 2.42 vs. 3.42 mmol/L; MARD 33.3% vs. 46.7%, respectively; p < 0.01). We examined the relationship between AG and HbA1c in DKD before dialysis as follows: AG (mmol/L) = 0.48 × HbA1c (%) + 4.36. In addition, using multiple regression analysis, HbA1c, diabetes type, body mass index (BMI), and CKD stage explained 42% of the variability in measured AG (r = 0.68, R2 = 0.42, p < 0.01).

Conclusions

HbA1c-derived estimated AG from existing equations may not accurately reflect measured AG in patients with DKD before dialysis. Diabetes type, BMI, and CKD stage should be considered when translating HbA1c into AG value in DKD before dialysis. It is advisable to adjust the AG-HbA1c equations for target population.

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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
109
审稿时长
6 months
期刊介绍: International Journal of Diabetes in Developing Countries is the official journal of Research Society for the Study of Diabetes in India. This is a peer reviewed journal and targets a readership consisting of clinicians, research workers, paramedical personnel, nutritionists and health care personnel working in the field of diabetes. Original research articles focusing on clinical and patient care issues including newer therapies and technologies as well as basic science issues in this field are considered for publication in the journal. Systematic reviews of interest to the above group of readers are also accepted.
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