Background: Left ventricular diastolic dysfunction (LVDD) causes heart failure with a preserved left ventricular ejection fraction (LVEF) in the general population. Objective: To examine the relationships between the LVDD grades of the 2016 American Society of Echocardiography/European Association of Cardiovascular Imaging (ASE/EACVI) recommendations and several arteriosclerotic parameters and major cardiovascular events (MACE) in hemodialysis patients with preserved LVEF. Method: Sixty-three prevalent hemodialysis patients (median age [interquartile range], 69 [64–75] years, 31.7% female) with normal systolic function (LVEF > 50%) were enrolled. LVDD evaluated by echocardiography at baseline was divided into three groups according to ASE/EACVI recommendations (normal diastolic function [ND], n = 24; intermediate, n = 19; diastolic dysfunction [DD], n = 20). All patients underwent analyses of several arteriosclerotic parameters (carotid intima-media thickness [CIMT], plaque score [PS], ankle brachial index [ABI], and brachial-ankle pulse wave velocity [baPWV]). The presence or absence of postdialysis orthostatic hypotension was assessed in each dialysis session. MACE during the 1-year follow-up period was obtained from medical records. Kaplan-Meier and Cox’s regression analyses were used to investigate the relationship between LVDD grades and MACE. Results: Postdialysis orthostatic hypotension and PS, but not CIMT, ABI, or baPWV, increased proportionally with LVDD grades. Eleven patients developed MACE, including 2 cardiovascular deaths. The Kaplan-Meier analysis showed that MACE frequently occurred in the DD grade (p = 0.002 by the log-rank test). Cox’s regression analysis adjusted for potential confounders (age, sex, diabetes, systolic blood pressure, and body mass index) revealed that the DD grade was associated with MACE when the ND grade was set as a reference. Conclusions: In maintenance hemodialysis patients with normal ventricular systolic function, a classification of LVDD by the 2016 ASE/EACVI recommendations may be a useful tool for predicting cardiovascular events.