Prolongation of Corrected QT Interval Is a Strong Predictor of Arterial Stiffness in Maintenance Hemodialysis Patients: A Prospective Observational Study
Article Notes and Dates
International Cardiovascular Research Journal: March 31, 2017,
; e10553.Published Online: March 01, 2017
Article Type: Research Article; Received: November 20, 2015; Revised: November 15, 2016; Accepted: November 21, 2016
To Cite :
M E, et al. Prolongation of Corrected QT Interval Is a Strong Predictor of Arterial Stiffness in Maintenance Hemodialysis Patients: A Prospective Observational Study,
Int Cardio Res J.
Copyright © 2017, Shiraz University of Medical Sciences. .
Background: Rate of mortality due to cardiovascular diseases is high in Maintenance Hemodialysis (MHD) patients. Additionally, prolonged QT interval is reportedly associated with high-risk ventricular arrhythmia and sudden death. Vascular calcification may be related to QT dispersion interval in MHD patients because the extensive nature of the calcification process may involve the conducting system and myocardium. Objectives: This study aimed to evaluate the relationship between QT interval and Pulse Wave Velocity (PWV) as a sign of arterial stiffness associated with atherosclerosis in MHD patients. Patients and Methods: This prospective, observational study was conducted on 149 eligible MHD patients for 12 months. Patients using drugs known to affect QT interval were excluded. The patients were divided into four groups as follows: normal corrected QT (QTc) interval at the beginning and end of the study (n = 44, 29.5%), normal QTc interval at the beginning but prolonged QTc interval at the end of the study (n = 30, 20.1%), prolonged QTc interval at the beginning but normal QTc interval at the end of the study (n = 24, 16.1%), and prolonged QTc interval at the beginning and end of the study (n = 51, 34.2%). Demographic parameters, laboratory parameters, and PWV were assessed at the beginning and the 12th month of the study. Then, the data were analyzed using ANOVA or Pearson 2 test and P < 0.05 was considered to be statistically significant. Results: The study groups were similar with respect to age and comorbidities, including diabetes mellitus, hypertension, and dyslipidemia. In addition, there were no significant differences among the groups regarding the initial PWV (P = 0.412); however, the ending PWV showed significant differences (P = 0.029). The results of multivariate analysis showed that PWV was independently associated with change in the maximum QTc (confidence interval: 0.039 – 1.787, P = 0.031, β = 0.178). Conclusions: The results suggested inclusion of QTc interval prolongation, as a predictor of cardiovascular disease, either alone or in combination with PWV in such high-risk patients.