Low-density lipoprotein cholesterol predicts coronary artery calcification events in patients with type 2 diabetes: a longitudinal study

医学 内科学 糖尿病 2型糖尿病 心脏病学 胆固醇 钙化 冠状动脉疾病 内分泌学
作者
Zhiyong Zou,Yongbing Sun,Lijun Zou,Yang Zhou,Xinbei Lin,Jing Zhou,Zhonglin Li,Xiao-Ling Wu,Ling Wang,Xiaodong Li,Yong Wang,Yangxi Hu,Fengli Li,Jiancheng Zhang,Yongli Li
出处
期刊:Diabetology & Metabolic Syndrome [BioMed Central]
卷期号:17 (1)
标识
DOI:10.1186/s13098-025-01625-8
摘要

Coronary Artery Calcification (CAC) is a major risk factor for various cardiovascular diseases. Low-Density Lipoprotein Cholesterol (LDL-C) is a significant factor in atherosclerotic cardiovascular diseases and is usually elevated in patients with Type 2 Diabetes Mellitus (T2DM). However, the association between LDL-C levels and incident CAC in asymptomatic T2DM patients remains unclear. This study is a single-center retrospective cohort study conducted from January 2018 to December 2023, including 2,631 asymptomatic T2DM patients who underwent regular health screenings. All participants were confirmed to be free of CAC at baseline by computed tomography (CT). Based on baseline LDL-C levels, participants were divided into three groups (T1: 0.66–2.43 mmol/L; T2: 2.44–3.18 mmol/L; T3: 3.19–7.21 mmol/L). The follow-up endpoint was the occurrence of incident CAC, with a total follow-up period of 72 months. Kaplan-Meier survival curves were used for analysis, followed by log-rank tests. Univariate and multivariate Cox proportional hazards regression models were employed to investigate the relationship between LDL-C and incident CAC, and subgroup analysis was performed to test the robustness of the LDL-C and CAC relationship. During a median follow-up period of 29.9 months, 885 (33.64%) participants developed incident CAC occurred. The cumulative incidence of incident CAC increased progressively with higher LDL-C levels (log-rank test, P < 0.001). After adjusting for confounding factors, multivariable Cox proportional hazards regression results showed a significant association between LDL-C and incident CAC (hazard ratio [HR], 1.77; 95% confidence interval [CI], 1.64–1.92). When LDL-C was treated as a categorical variable, elevated levels in T2 (adjusted HR, 1.62; 95% CI, 1.36–1.93; P < 0.001) and T3 (adjusted HR, 3.38; 95% CI, 2.84–4.03; P < 0.001) were significantly associated with the risk of incident CAC. Additionally, subgroup analysis demonstrated a consistent association between LDL-C and incident CAC. High LDL-C levels are associated with incident CAC in asymptomatic T2DM patients, suggesting that LDL-C may be useful for risk stratification in this population.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
心流完成签到 ,获得积分10
2秒前
我思故我在完成签到,获得积分10
3秒前
howudoin完成签到,获得积分10
5秒前
她的城完成签到,获得积分0
6秒前
西出阳关完成签到,获得积分10
7秒前
9秒前
酷酷的梦露完成签到 ,获得积分10
10秒前
Triumph完成签到,获得积分10
10秒前
康康完成签到 ,获得积分10
14秒前
小雨转甜发布了新的文献求助10
16秒前
崔康佳完成签到,获得积分10
17秒前
矮小的安柏完成签到,获得积分10
19秒前
研友_n0kjPL完成签到,获得积分0
19秒前
完美世界应助Yang采纳,获得10
27秒前
一斤欠半完成签到 ,获得积分10
27秒前
大力牌皮揣子完成签到 ,获得积分10
31秒前
32秒前
chenxilulu完成签到,获得积分10
35秒前
clam发布了新的文献求助10
36秒前
Yang完成签到,获得积分10
36秒前
眼睛大樱桃完成签到,获得积分10
37秒前
等待的三问完成签到 ,获得积分10
40秒前
科研通AI6.2应助勿念采纳,获得10
41秒前
科研临床两手抓完成签到 ,获得积分0
42秒前
破碎时间完成签到 ,获得积分10
43秒前
Tonald Yang完成签到 ,获得积分20
44秒前
米九完成签到 ,获得积分10
44秒前
大脸鲤完成签到 ,获得积分10
45秒前
46秒前
xuyudi完成签到 ,获得积分10
47秒前
决明子完成签到 ,获得积分10
49秒前
patrickzhao完成签到,获得积分10
49秒前
淡淡醉波wuliao完成签到,获得积分10
50秒前
有kj发布了新的文献求助10
51秒前
友好雨文完成签到 ,获得积分10
53秒前
53秒前
早日退休完成签到,获得积分10
53秒前
缓慢的含海完成签到 ,获得积分10
54秒前
czz完成签到 ,获得积分10
54秒前
丫丫完成签到 ,获得积分10
58秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Metallurgy at high pressures and high temperatures 2000
An Introduction to Medicinal Chemistry 第六版习题答案 600
应急管理理论与实践 530
Cleopatra : A Reference Guide to Her Life and Works 500
Fundamentals of Strain Psychology 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6339929
求助须知:如何正确求助?哪些是违规求助? 8155055
关于积分的说明 17136002
捐赠科研通 5395691
什么是DOI,文献DOI怎么找? 2858829
邀请新用户注册赠送积分活动 1836580
关于科研通互助平台的介绍 1686875