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复合血糖指标的作用:不同糖尿病类型和糖化血红蛋白水平下全面血糖五边形的比较。

Role of Composite Glycemic Indices: A Comparison of the Comprehensive Glucose Pentagon Across Diabetes Types and HbA1c Levels.

机构信息

Department of Endocrinology, Singapore General Hospital, Singapore, Singapore.

Medtronic Diabetes, Northridge, California.

出版信息

Diabetes Technol Ther. 2020 Feb;22(2):103-111. doi: 10.1089/dia.2019.0277. Epub 2019 Oct 1.

Abstract

Complex changes of glycemia that occur in diabetes are not fully captured by any single measure. The Comprehensive Glucose Pentagon (CGP) measures multiple aspects of glycemia to generate the prognostic glycemic risk (PGR), which constitutes the relative risk of hypoglycemia combined with long-term complications. We compare the components of CGP and PGR across type 1 and type 2 diabetes. Participants:  = 60 type 1 and  = 100 type 2 who underwent continuous glucose monitoring (CGM). Mean glucose, coefficient of variation (%CV), intensity of hypoglycemia (INT), intensity of hyperglycemia (INT), time out-of-range (TOR <3.9 and >10 mmol/L), and PGR were calculated. PGR (median, interquartile ranges [IQR]) for diabetes types, and HbA1c classes were compared. While HbA1c was lower in type 1 (type 1 vs. type 2: 8.0 ± 1.6 vs. 8.6 ± 1.7,  = 0.02), CGM-derived mean glucoses were similar across both groups ( > 0.05). TOR, %CV, INT, and INT were all higher in type 1 [type 1 vs. type 2: 665 (500, 863) vs. 535 (284, 823) min/day; 39% (33, 46) vs. 29% (24, 34); 905 (205, 2951) vs. 18 (0, 349) mg/dL × min; 42,906 (23,482, 82,120) vs. 30,166 (10,276, 57,183) mg/dL × min, respectively, all  < 0.05]. Across each HbA1c class, the PGR remained consistently and significantly higher in type 1. While mean glucose remained the same across HbA1c classes, %CV, TOR, INT, and INT were significantly higher for type 1. Even within the same HbA1c class, the variation (IQR) of each parameter in type 1 was wider. The PGR increased across diabetes groups; type 2 on orals versus type 2 on insulin versus type 1 (PGR: 1.6 vs. 2.2 vs. 2.9, respectively,  < 0.05). Composite indices such as the CGP capture significant differences in glycemia independent of HbA1c and mean glucose. The use of such indices must be explored in both the clinical and research settings.

摘要

血糖的复杂变化在糖尿病中并未被任何单一指标完全捕捉到。综合血糖五角形(CGP)测量血糖的多个方面,以生成预测血糖风险(PGR),这构成了低血糖与长期并发症相结合的相对风险。我们比较了 1 型和 2 型糖尿病患者的 CGP 成分和 PGR。

参与者

60 名 1 型和 100 名 2 型糖尿病患者接受连续血糖监测(CGM)。计算平均血糖、变异系数(%CV)、低血糖强度(INT)、高血糖强度(INT)、血糖控制范围外时间(TOR <3.9 和 >10mmol/L)和 PGR。比较不同类型糖尿病和不同糖化血红蛋白(HbA1c)类别中的 PGR(中位数,四分位距[IQR])。

虽然 1 型糖尿病患者的 HbA1c 较低(1 型 vs. 2 型:8.0±1.6 vs. 8.6±1.7, = 0.02),但两组之间的 CGM 衍生平均血糖相似(均>0.05)。TOR、%CV、INT 和 INT 在 1 型中均较高[1 型 vs. 2 型:665(500,863)vs. 535(284,823)min/day;39%(33,46)vs. 29%(24,34);905(205,2951)vs. 18(0,349)mg/dL×min;42,906(23,482,82,120)vs. 30,166(10,276,57,183)mg/dL×min,均<0.05]。在每个 HbA1c 类别中,1 型患者的 PGR 始终保持一致且显著更高。虽然平均血糖在 HbA1c 类别之间保持不变,但 1 型患者的 %CV、TOR、INT 和 INT 显著更高。即使在相同的 HbA1c 类别内,1 型患者的每个参数的变化(IQR)也更宽。PGR 随糖尿病组增加;口服药物治疗的 2 型糖尿病患者 vs. 胰岛素治疗的 2 型糖尿病患者 vs. 1 型糖尿病患者(PGR:1.6 vs. 2.2 vs. 2.9,均<0.05)。

综合指数(如 CGP)可捕捉到独立于 HbA1c 和平均血糖的血糖显著差异。必须在临床和研究环境中探索使用这些指数。

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