Suppr超能文献

CGM 衍生参数在 1 型糖尿病中的附加和解释价值取决于血糖控制水平。

THE ADDED AND INTERPRETATIVE VALUE OF CGM-DERIVED PARAMETERS IN TYPE 1 DIABETES DEPENDS ON THE LEVEL OF GLYCEMIC CONTROL.

机构信息

Faculty of Medicine and Health Sciences, Ghent University, Belgium.

Department of Cardiology, Ghent University Hospital, Belgium.

出版信息

Endocr Pract. 2021 Jan;27(1):44-50. doi: 10.4158/EP-2020-0293. Epub 2020 Nov 18.

Abstract

OBJECTIVE

In type 1 diabetes mellitus (T1DM) management, continuous glucose monitoring (CGM)-derived parameters can provide additional insights, with time in range (TIR) and other parameters reflecting glycemic control and variability being put forward. This study aimed to examine the added and interpretative value of the CGM-derived indices TIR and coefficient of variation (CV%) in T1DM patients stratified according to their level of glycemic control by means of HbA1C.

METHODS

T1DM patients with a minimum disease duration of 10 years and without known macrovascular disease were enrolled. Patients were equipped with a blinded CGM device for 7 days. TIR and time spent in hypoglycemia and hyperglycemia were determined, and CV% was used as a parameter for glycemic variability. Pearson (r) and Spearman correlations (r) and a regression analysis were used to examine associations.

RESULTS

Ninety-five patients (age: 45 ± 10 years; HbA1C level: 7.7% ± 0.8% [61 ± 7 mmol/mol]) were included (mean blood glucose [MBG]: 159 ± 31 mg/dL; TIR: 55.8% ± 14.9%; CV%: 43.5% ± 7.8%) and labeled as having good (HbA1C level ≤7% [≤53 mmol/mol]; n = 20), moderate (7%-8%; n = 44), or poor (>8% [>64 mmol/mol]; n = 31) glycemic control. HbA1C was significantly associated with MBG (r = 0.48, P < .001) and time spent in hyperglycemia (total: r = 0.52; level 2: r = 0.46; P < .001) but not with time spent in hypoglycemia and CV%, even after an analysis of the HbA1C subgroups. Similarly, TIR was negatively associated with HbA1C (r = -0.53; P < .001), MBG (r = -0.81; P < .001), and time spent in hyperglycemia (total: r = -0.90; level 2: r = -0.84; P < .001) but not with time in hypoglycemia. The subgroup analyses, however, showed that TIR was associated with shorter time spent in level-2 hypoglycemia in patients with good (r = -0.60; P = .007) and moderate (r = -0.25; P = .047) glycemic control. In contrast, CV% was strongly positively associated with time in hypoglycemia (total: r = 0.78; level 2: r = 0.76; P < .001) but not with TIR or time in hyperglycemia in the entire cohort, although the subgroup analyses showed that TIR was negatively associated with CV% in patients with good glycemic control (r = -0.81, P < .001) and positively associated in patients with poor glycemic control (r = +0.47; P < .01).

CONCLUSION

The CGM-derived metrics TIR and CV% are related to clinically important situations, TIR being strongly dependent on hyperglycemia and CV% being reflective of hypoglycemic risk. However, the interpretation and applicability of TIR and CV% and their relationship depends on the level of glycemic control of the individual patient, with CV% generally adding less clinically relevant information in those with poor control. This illustrates the need for further research and evaluation of composite measures of glycemic control in T1DM.

摘要

目的

在 1 型糖尿病(T1DM)管理中,连续血糖监测(CGM)衍生参数可以提供额外的见解,其中时间在目标范围内(TIR)和其他反映血糖控制和变异性的参数被提出。本研究旨在通过糖化血红蛋白(HbA1C)检查 T1DM 患者根据血糖控制水平分层的 CGM 衍生指数 TIR 和变异系数(CV%)的附加和解释价值。

方法

纳入了至少有 10 年病史且无已知大血管疾病的 T1DM 患者。患者佩戴了 7 天的盲法 CGM 设备。确定了 TIR 以及低血糖和高血糖的时间,并使用 CV%作为血糖变异性的参数。使用 Pearson(r)和 Spearman 相关系数(r)和回归分析来检查关联。

结果

共纳入了 95 名患者(年龄:45±10 岁;HbA1C 水平:7.7%±0.8%[61±7 mmol/mol])(平均血糖[MBG]:159±31 mg/dL;TIR:55.8%±14.9%;CV%:43.5%±7.8%),并根据血糖控制情况分为良好(HbA1C 水平≤7%[≤53 mmol/mol];n=20)、中等(7%-8%;n=44)或较差(>8%[>64 mmol/mol];n=31)。HbA1C 与 MBG 显著相关(r=0.48,P<0.001)和高血糖时间相关(总:r=0.52;水平 2:r=0.46;P<0.001),但与低血糖时间和 CV%不相关,即使在 HbA1C 亚组分析后也是如此。同样,TIR 与 HbA1C(r=-0.53;P<0.001)、MBG(r=-0.81;P<0.001)和高血糖时间(总:r=-0.90;水平 2:r=-0.84;P<0.001)相关,但与低血糖时间不相关。然而,亚组分析显示,在血糖控制良好(r=-0.60;P=0.007)和中等(r=-0.25;P=0.047)的患者中,TIR 与 2 级低血糖时间较短相关。相反,CV%与低血糖时间呈强烈正相关(总:r=0.78;水平 2:r=0.76;P<0.001),但与 TIR 或高血糖时间在整个队列中均不相关,尽管亚组分析显示 TIR 与血糖控制良好的患者的 CV%呈负相关(r=-0.81,P<0.001),与血糖控制较差的患者呈正相关(r=+0.47;P<0.01)。

结论

CGM 衍生的 TIR 和 CV% 与临床重要情况相关,TIR 强烈依赖于高血糖,CV%反映了低血糖风险。然而,TIR 和 CV%的解释和适用性及其关系取决于个体患者的血糖控制水平,在血糖控制较差的患者中,CV%通常提供的临床相关信息较少。这说明了在 T1DM 中需要进一步研究和评估血糖控制的综合措施。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验