Cardio-Ankle Vascular Index and Indices of Diabetic Polyneuropathy in Patients with Type 2 Diabetes

Author:

Ando Akihiko1ORCID,Miyamoto Michiaki12ORCID,Kotani Kazuhiko3ORCID,Okada Kenta1,Nagasaka Shoichiro1ORCID,Ishibashi Shun1ORCID

Affiliation:

1. Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, Tochigi 329-0498, Japan

2. Department of Laboratory Medicine, Jichi Medical University, Tochigi 329-0498, Japan

3. Division of Community and Family Medicine, Centre for Community Medicine, Jichi Medical University, Tochigi 329-0498, Japan

Abstract

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.

Publisher

Hindawi Limited

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism

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