Background: Heart disease is thought to be dangerously increased by type two diabetes mellitus.Type two diabetic individuals have 2-3 times higher incidence of cardiovascular diseases.There are a few research using nerve conduction investigations to demonstrate the relationship between diabetic peripheral neuropathy and cardiovascular problems.The existence of diabetic neuropathy may be associated to atherosclerosis.Objective: The target of this study is to analyze the mechanism between nerve conduction study (NCS) and cardiovascular evaluation in type two diabetes mellitus affected males.Patients and Methods: This cross-sectional study included 105 males type-2 diabetes mellitus cohort with body mass index between 18.5-25, normal blood pressure and normal lipid profile.Nerve conduction studies of (median, tibial and sural nerves) were performed and cardiovascular detection of left ventricular function using 2D-speckle tracking echocardiography and peripheral vascular resistance using ankle-brachial index were assessed.Results: In this study poor glycemic control was correlated with the severity of diabetic peripheral neuropathy (p < 0.05).Nerve conduction studies showed highly significant negative correlation between sensory, motor latency, F latency and global strain (p < 0.001), while highly significant positive correlation with motor and sensory conduction velocity and amplitude was found (p < 0.001).Regarding ankle-brachial index, there was highly significant positive correlation with global strain on both sides (p < 0.001).There was an association between diabetic peripheral neuropathy and altered ankle-brachial index scores as there was significant correlation with the neuropathic parameters of the studied nerves (p < 0.05).Conclusions: According to nerve conduction studies, arterial stiffness and cardiac parameters deteriorate along with diabetic neuropathy.Males with type-2 diabetes mellitus who undergo nerve conduction studies may benefit from early neuropathy identification as well as preclinical left ventricular dysfunction prediction.