Ling James, Ng Jack K C Chung, Lau Eric S H, Ma Ronald C W, Kong Alice P S, Luk Andrea O Y, Kwok Jeffrey S S, Szeto Cheuk-Chun, Chan Juliana C N, Chow Elaine
Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong SAR, China.
Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Sha Tin, New Territories, Hong Kong SAR, China.
Kidney Int Rep. 2022 Apr 6;7(6):1354-1363. doi: 10.1016/j.ekir.2022.03.029. eCollection 2022 Jun.
Glycated hemoglobin A1c (HbA1c) has reduced reliability in advanced chronic kidney disease (CKD) owing to factors influencing red cell turnover. Recent guidelines support the use of continuous glucose monitoring (CGM) in glycemic assessment in these patients. We evaluated relationships between HbA1c and CGM metrics of average glycemia and glucose variability (GV) in moderate-to-advanced CKD.
There were a total of 90 patients with diabetes in CKD stages G3b ( = 33), G4 ( = 43), and G5 (nondialysis) ( = 14) (age [mean ± SD] 65.4 ± 9.0 years, estimated glomerular filtration rate [eGFR] 26.1 ± 9.6 ml/min per 1.73 m, and HbA1c 7.4 ± 0.8%). CGM metrics were estimated from blinded CGM (Medtronic Ipro2 with Enlite sensor) and compared with HbA1c in the same week.
Correlations between glucose management indicator (GMI) and HbA1c attenuated with advancing CKD (G3b [ = 0.68, < 0.0001], G4 [ = 0.52, < 0.001], G5 [ = 0.22, = 0.44], = 0.01 for CKD stage). In G3b and G4, HbA1c correlated significantly with time-in-range (TIR) (3.9-10.0 mmol/l) ( = -0.55 and = -0.54, respectively) and % time > 13.9 mmol/l ( = 0.53 and = 0.44, respectively), but not in G5. HbA1c showed no correlation with % time <3.0 mmol/l ( = -0.045, = 0.67) or % coefficient of variation (CV) ( = -0.05, = 0.64) in any CKD stage. Only eGFR was a significant determinant of bias for the difference between GMI and HbA1c (difference -0.28%, 95% CI [-0.52 to -0.03] per 15 ml/min per 1.73 m decrement, = 0.03).
CGM-derived indices might serve as an adjunct to HbA1c monitoring to guide glycemic management, especially in those with eGFR <30 ml/min per 1.73 m. Time in hypoglycemia and glycemic variability are relevant glycemic targets for optimization not reflected by HbA1c.
由于影响红细胞更新的因素,糖化血红蛋白A1c(HbA1c)在晚期慢性肾脏病(CKD)中的可靠性降低。近期指南支持在这些患者的血糖评估中使用持续葡萄糖监测(CGM)。我们评估了中至重度CKD患者中HbA1c与平均血糖和血糖变异性(GV)的CGM指标之间的关系。
共有90例CKD G3b期(n = 33)、G4期(n = 43)和G5期(非透析)(n = 14)的糖尿病患者(年龄[均值±标准差]65.4±9.0岁,估算肾小球滤过率[eGFR]26.1±9.6 ml/min/1.73 m²,HbA1c 7.4±0.8%)。CGM指标通过盲法CGM(美敦力Ipro2与Enlite传感器)估算,并与同一周内的HbA1c进行比较。
随着CKD进展,葡萄糖管理指标(GMI)与HbA1c之间的相关性减弱(G3b期[r = 0.68,P < 0.0001],G4期[r = 0.52,P < 0.001],G5期[r = 0.22,P = 0.44],CKD分期P = 0.01)。在G3b和G4期,HbA1c与血糖达标时间(TIR)(3.9 - 10.0 mmol/L)显著相关(分别为r = -0.55和r = -0.54)以及血糖>13.9 mmol/L的时间百分比(分别为r = 0.53和r = 0.44),但在G5期不相关。在任何CKD分期中,HbA1c与血糖<3.0 mmol/L的时间百分比(r = -0.045,P = 0.67)或变异系数百分比(CV)(r = -0.05,P = 0.64)均无相关性。仅eGFR是GMI与HbA1c差异偏差的显著决定因素(每15 ml/min/1.73 m²下降,差异为 - 0.28%,95%CI[-0.52至 - 0.03],P = 0.03)。
CGM衍生指标可作为HbA1c监测的辅助手段,以指导血糖管理,尤其是在eGFR<30 ml/min/1.73 m²的患者中。低血糖时间和血糖变异性是HbA1c未反映的相关血糖优化目标。