Ando Akihiko, Miyamoto Michiaki, Kotani Kazuhiko, Okada Kenta, Nagasaka Shoichiro, Ishibashi Shun
Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, Tochigi 329-0498, Japan.
Department of Laboratory Medicine, Jichi Medical University, Tochigi 329-0498, Japan.
J Diabetes Res. 2017;2017:2810914. doi: 10.1155/2017/2810914. Epub 2017 May 9.
The cardio-ankle vascular index (CAVI) is used to test vascular function and is an arterial stiffness marker and potential predictor of cardiovascular events. This study aimed to analyze the relation between objective indices of diabetic polyneuropathy (DPN) and the CAVI. One hundred sixty-six patients with type 2 diabetes mellitus were included in this study. We used nerve conduction studies (NCSs) and the coefficient of variation of the R-R interval to evaluate DPN. We estimated arteriosclerosis by the CAVI. Simple and multiple linear regression analyses were performed between neuropathy indices and the CAVI. In univariate analysis, the CAVI showed significant associations with sural sensory nerve conduction velocity and median F-wave conduction velocity. Multiple linear regression analysis for the CAVI showed that sural nerve conduction velocity and median F-wave conduction velocity were significant explanatory variables second only to age. In multiple linear regression analysis for sural nerve conduction velocity among neuropathy indices, the CAVI remained the most significant explanatory variable. In multiple linear regression analysis for median nerve F-wave conduction velocity among neuropathy indices, the CAVI remained the second most significant explanatory variable following HbA1c. These results suggest a close relationship between macroangiopathy and DPN.
心踝血管指数（CAVI）用于检测血管功能，是一种动脉僵硬度标志物及心血管事件的潜在预测指标。本研究旨在分析糖尿病性多发性神经病变（DPN）的客观指标与CAVI之间的关系。本研究纳入了166例2型糖尿病患者。我们使用神经传导研究（NCS）和R-R间期变异系数来评估DPN。我们通过CAVI评估动脉硬化。对神经病变指标与CAVI进行了简单和多元线性回归分析。在单因素分析中，CAVI与腓肠感觉神经传导速度和正中F波传导速度显著相关。对CAVI的多元线性回归分析表明，腓肠神经传导速度和正中F波传导速度是仅次于年龄的显著解释变量。在神经病变指标中对腓肠神经传导速度的多元线性回归分析中，CAVI仍然是最显著的解释变量。在神经病变指标中对正中神经F波传导速度的多元线性回归分析中，CAVI仍然是仅次于糖化血红蛋白（HbA1c）的第二显著解释变量。这些结果提示大血管病变与DPN之间存在密切关系。
