Song Lige, Zhou Linuo, Tang Zihui
Department of Endocrinology and Metabolism, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
Department of Endocrinology and Metabolism, Fudan University Huashan Hospital, Shanghai, China.
Lipids Health Dis. 2016 Jul 26;15:122. doi: 10.1186/s12944-016-0287-3.
Recent studies have shown that triglyceride (TG), low-density lipoprotein cholesterol (LDL), and high-density lipoprotein cholesterol (HDL) are related to the prevalence of cardiovascular autonomic neuropathy (CAN). However, little is known about the association of lipid profile with diabetic cardiovascular autonomic neuropathy (DCAN), or its severity in the Chinese population. The purpose of this study is to explore the extent of this phenomenon using a Chinese sample.
A subgroup analysis on 455 diabetic patients with undiagnosed DCAN was performed to evaluate the relationships of lipids profile and DCAN. DCAN was diagnosed if there were at least two abnormal cardiovascular autonomic reflex test results, based on short-term heart rate variability tests. Multivariable logistic regression (MLR)was carried out to control potential confounders for determining the independent association of variables with DCAN in different models.
MLR analysis indicated that TG was significantly and independently associated with DCAN when controlling for confounding factors (P < 0.1 for two models). Additionally, TG combined with TC (LRS-1) and LDL (LRS-2) was associated with this outcome (P < 0.1 for LRS-1 and LRS-2).
Our findings indicate that TG and the severity of lipids profile is significantly and independently associated with DCAN, respectively.
ClinicalTrials.gov Identifier: NCT02461472 , retrospectively registered 2 Jun, 2015.
最近的研究表明,甘油三酯(TG)、低密度脂蛋白胆固醇(LDL)和高密度脂蛋白胆固醇(HDL)与心血管自主神经病变(CAN)的患病率相关。然而,关于血脂谱与糖尿病性心血管自主神经病变(DCAN)的关联及其在中国人群中的严重程度,人们了解甚少。本研究的目的是使用中国样本探讨这一现象的程度。
对455例未诊断出DCAN的糖尿病患者进行亚组分析,以评估血脂谱与DCAN的关系。根据短期心率变异性测试,如果至少有两项心血管自主神经反射测试结果异常,则诊断为DCAN。进行多变量逻辑回归(MLR)以控制潜在混杂因素,从而在不同模型中确定变量与DCAN的独立关联。
MLR分析表明,在控制混杂因素时,TG与DCAN显著且独立相关(两个模型中P < 0.1)。此外,TG与总胆固醇(LRS-1)和LDL(LRS-2)联合与该结果相关(LRS-1和LRS-2中P < 0.1)。
我们的研究结果表明,TG和血脂谱的严重程度分别与DCAN显著且独立相关。
ClinicalTrials.gov标识符:NCT02461472,于2015年6月2日追溯注册。