早发性2型糖尿病的新诊断患者已经出现心血管异常。

IF 8.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Hong Lian, Qian Ren, Wei Liu, Rui Zhang, Xiantong Zou, Simin Zhang, Yingying Luo, Wei Deng, Qiuping Wang, Lin Qi, Yufeng Li, Wenbo Wang, Liyong Zhong, Pengkai Zhang, Chengcheng Guo, Li Li, Yating Li, Tianhao Ba, Chaochao Yang, Lili Huo, Yan'ai Wang, Chunxia Li, Dejun Hao, Yajing Zhang, Yan Xu, Fang Wang, Xiangqing Wang, Fang Zhang, Siqian Gong, Wenjia Yang, Xueyao Han, Linong Ji
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引用次数: 0

摘要

背景:早发性2型糖尿病(EOD)的患病率正在迅速上升。本研究旨在筛查新诊断为EOD的患者的早期心血管异常,并评估不同群集表型的心血管风险。方法:从START队列(the Study of the new diagnosis eaRly onset diabetes)中招募400例≤40岁的新诊断2型糖尿病患者。基于年龄、BMI、HbA1c、HOMA2-β、HOMA2- ir和GAD抗体,采用K-means方法进行聚类分类。超声心动图和颈动脉超声检查均在糖尿病诊断后3个月内进行。颈动脉超声异常包括内膜增厚和斑块形成,而超声心动图评估心脏结构和收缩/舒张功能的变化。从遗传学的角度来看,我们使用了特定群集的分区多基因评分(pPS)来验证我们的发现。结果:颈动脉异常占26.3%,超声心动图异常占20.0%。重度胰岛素抵抗型糖尿病(SIRD)患者颈动脉异常发生率最高(40.0%)。在调整相关危险因素后,空腹c肽水平与颈动脉异常风险增加1.247倍显著相关。左房扩大在SIRD(16.7%)和轻度肥胖相关糖尿病(MOD)(18.5%)分类中更为普遍。SIRD患者左心室几何形状异常的比例很高(36.1%)。随着BMI、空腹c肽水平和HOMA2IR的增加,左房扩大的风险分别增加了1.136倍、1.781倍和1.687倍。脂肪营养不良的pPS在斑块形成的EOD组较高,且与左房前后径与体表面积之比(LAAP/BSA)呈显著的线性相关(R = 0.344, p)。结论:早发型T2DM患者在诊断时心脏及颈动脉异常较为常见。肥胖和胰岛素抵抗的患者发生心血管异常的风险更高。基于临床特征的聚类分类能够在早期更准确地识别心血管并发症风险增加的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cardiovascular abnormalities already occurred in newly-diagnosed patients with early-onset type 2 diabetes.

Background: The prevalence of early-onset type 2 diabetes (EOD) is rapidly increasing. This study intends to screen for early cardiovascular abnormalities in patients newly diagnosed with EOD and evaluate the cardiovascular risk across cluster phenotypes.

Method: A total of 400 patients ≤ 40 years old with newly diagnosed type 2 diabetes were enrolled from the START cohort (the Study of The newly diAgnosed eaRly onset diabeTes). Cluster classification was performed using the K-means method based on age, BMI, HbA1c, HOMA2-β, HOMA2-IR, and GAD antibodies. Echocardiography and carotid ultrasound were performed within 3 months of diabetes diagnosis. Carotid ultrasound abnormalities included intimal thickening and plaque formation, while echocardiography assessed changes in cardiac structure and systolic/diastolic function. Cluster-specific partitioned polygenic scores (pPS) were used to validate our findings from a genetic perspective.

Result: Carotid artery abnormalities were detected in 26.3% of patients, and echocardiography abnormalities were observed in 20.0%. Patients with severe insulin resistant diabetes (SIRD) had the highest incidence of carotid artery abnormality (40.0%). After adjusting for relevant risk factors, fasting C-peptide levels were significantly associated with a 1.247-fold increase in the risk of carotid artery abnormalities. Left atrial enlargement was more prevalent in the SIRD (16.7%) and mild obesity-related diabetes (MOD) (18.5%) classifications. A high proportion of patients with SIRD had abnormal left ventricular geometry (36.1%). Increases in BMI, fasting C-peptide level and HOMA2IR were accompanied by a further increase in left atrial enlargement risk by 1.136-, 1.781- and 1.687-fold respectively. The pPS for lipodystrophy was higher in the EOD group with plaque formation, and showed a significant linear correlation with the ratio of the left atrial anteroposterior diameter to body surface area (LAAP/BSA) (R = 0.344, p < 0.001).

Conclusion: Heart and carotid artery abnormalities are common in patients with early-onset T2DM at the time of diagnosis. Patients with obesity and insulin resistance are at higher risk for cardiovascular abnormalities. Cluster classification based on clinical characteristics enables more accurate identification of patients at increased risk of cardiovascular complications at an early stage.

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来源期刊
Cardiovascular Diabetology
Cardiovascular Diabetology 医学-内分泌学与代谢
CiteScore
12.30
自引率
15.10%
发文量
240
审稿时长
1 months
期刊介绍: Cardiovascular Diabetology is a journal that welcomes manuscripts exploring various aspects of the relationship between diabetes, cardiovascular health, and the metabolic syndrome. We invite submissions related to clinical studies, genetic investigations, experimental research, pharmacological studies, epidemiological analyses, and molecular biology research in this field.
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