Relationship Between Glycosylated Hemoglobin Variability and the Severity of Coronary Artery Disease in Patients With Type 2 Diabetes Mellitus.

IF 3.6 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Research Pub Date : 2024-08-01 eCollection Date: 2024-01-01 DOI:10.1155/2024/9958586
Xinyan Liu, Xiyao Yang, Na Wu
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Abstract

Background: Glycosylated hemoglobin (HbA1c) variability is a risk factor for cardiovascular complications in patients with Type 2 diabetes mellitus (T2DM), but its relationship with the severity of coronary artery disease (CAD) is unclear. Methods: Patients with T2DM who underwent coronary angiography due to angina were enrolled. HbA1c variability was expressed as coefficient of variation (CV), standard deviation (SD), variability independent of mean (VIM), and time in range (TIR). The severity of CAD was expressed by the number of involved vessels and Gensini score. Multivariate regression models were constructed to test the relationship between HbA1c variability, number of involved vessels, and the Gensini score, followed by linear regression analysis. Results: A total of 147 patients were included. In multivariate analysis, VIM-HbA1c (OR = 2.604; IQR: 1.15, 5.90; r = 0.026) and HbA1cTIR (OR = 0.13; IQR: 0.04, 0.41; r < 0.001) were independent risk factors for the number of involved vessels. After adjustment, HbA1cTIR (OR = 0.01; IQR: 0.002, 0.04; r < 0.001), SD-HbA1c (OR = 4.12, IQR: 1.64, 10.35; r = 0.001), CV-HbA1c (OR = 1.41, IQR: 1.04, 1.92; r = 0.007), and VIM-HbA1c (OR = 3.26; IQR: 1.43, 7.47; r = 0.003) were independent risk factors for the Gensini score. In the linear analysis, the Gensini score was negatively correlated with HbA1cTIR (β = -0.629; r < 0.001) and positively correlated with SD-HbA1c (β = 0.271; r = 0.001) and CV-HbA1c (β = 0.176; r = 0.033). After subgroup analysis, HbA1cTIR was a risk factor for the number of involved vessels. The Gensini score was negatively correlated with HbA1cTIR and positively correlated with SD-HbA1c at subgroups of subjects with a mean HbA1c ≤ 7%. Conclusions: Our analysis indicates that HbA1c variability, especially HbA1cTIR, plays a role for the severity of CAD in patients with T2DM. HbA1c variability may provide additional information and require management even at the glycemic target. Translational Aspects: Studies have shown that HbA1c variability is related to cardiovascular complications. Further, we explore the correlation between HbA1c variability and the severity of CAD. HbA1c variability is a risk factor for coronary stenosis in T2DM. It may be a potential indicator reflecting glycemic control for the prevention and treatment of cardiovascular complications.

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2 型糖尿病患者糖化血红蛋白变异性与冠状动脉疾病严重程度之间的关系
背景:糖化血红蛋白(HbA1c)变异是 2 型糖尿病(T2DM)患者出现心血管并发症的风险因素,但其与冠状动脉疾病(CAD)严重程度的关系尚不清楚。研究方法纳入因心绞痛接受冠状动脉造影术的 T2DM 患者。HbA1c 变异性用变异系数 (CV)、标准差 (SD)、独立于平均值的变异性 (VIM) 和在范围内的时间 (TIR) 表示。CAD 的严重程度用受累血管的数量和 Gensini 评分来表示。建立多变量回归模型来检验 HbA1c 变异性、受累血管数量和 Gensini 评分之间的关系,然后进行线性回归分析。结果共纳入 147 名患者。在多变量分析中,VIM-HbA1c(OR = 2.604;IQR:1.15,5.90;r = 0.026)和 HbA1cTIR(OR = 0.13;IQR:0.04,0.41;r < 0.001)是受累血管数量的独立危险因素。调整后,HbA1cTIR(OR = 0.01;IQR:0.002,0.04;r <0.001)、SD-HbA1c(OR = 4.12,IQR:1.64,10.35;r = 0.001)、CV-HbA1c(OR = 1.41,IQR:1.04,1.92;r = 0.007)和 VIM-HbA1c(OR = 3.26;IQR:1.43,7.47;r = 0.003)是 Gensini 评分的独立危险因素。在线性分析中,Gensini 评分与 HbA1cTIR 呈负相关(β = -0.629;r <0.001),与 SD-HbA1c 呈正相关(β = 0.271;r = 0.001),与 CV-HbA1c 呈正相关(β = 0.176;r = 0.033)。经过亚组分析,HbA1cTIR 是受累血管数量的风险因素。在平均 HbA1c ≤ 7% 的受试者亚组中,Gensini 评分与 HbA1cTIR 呈负相关,与 SD-HbA1c 呈正相关。结论:我们的分析表明,HbA1c 变异性,尤其是 HbA1cTIR,对 T2DM 患者的 CAD 严重程度有影响。HbA1c 变异性可提供更多信息,即使达到血糖目标值也需要进行管理。转化方面:研究表明,HbA1c 变异与心血管并发症有关。此外,我们还探讨了 HbA1c 变异性与 CAD 严重程度之间的相关性。HbA1c 变异是 T2DM 冠状动脉狭窄的一个危险因素。它可能是反映血糖控制的一个潜在指标,可用于预防和治疗心血管并发症。
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来源期刊
Journal of Diabetes Research
Journal of Diabetes Research ENDOCRINOLOGY & METABOLISM-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
8.40
自引率
2.30%
发文量
152
审稿时长
14 weeks
期刊介绍: Journal of Diabetes Research is a peer-reviewed, Open Access journal that publishes research articles, review articles, and clinical studies related to type 1 and type 2 diabetes. The journal welcomes submissions focusing on the epidemiology, etiology, pathogenesis, management, and prevention of diabetes, as well as associated complications, such as diabetic retinopathy, neuropathy and nephropathy.
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