PURPOSE: The aim of the study was to evaluate the correlation between electrocardiographic parameters and heart rate variability with cardiovascular events and mortality among chronic hemodialysis patients. METHODS: In this prospective study, we enrolled 116 asymptomatic patients in whom we performed ambulatory 24-h electrocardiographic Holter monitoring and before and after hemodialysis electrocardiographs. We measured the interval (PR, QRS, QTc, QTc dispersion) differences on the surface electrocardiographs and obtained frequency-domain measures from Holter monitoring (VLF, LF, HF and the LF/HF ratio). RESULTS: During the follow-up period, 13 participants died (11.2 %) and 16 (13.8 %) patients experienced a cardiovascular event. The pre-post-dialysis difference in QTc interval was the best predictor for cardiovascular events (95 % CI 0.453-0.786), while pre-dialysis QRS interval was the predictor for all-cause mortality (95 % CI 1.134-3.136). Also, both outcomes were predicted by pre-post-dialysis difference in PR interval and VLF. CONCLUSIONS: Interval changes during hemodialysis are predictive for cardiovascular events and mortality. Autonomic dysfunction and changes in PR should be monitored routinely, particularly in patients with suspected coronary artery disease.
PURPOSE: The aim of the study was to evaluate the correlation between electrocardiographic parameters and heart rate variability with cardiovascular events and mortality among chronic hemodialysis patients. METHODS: In this prospective study, we enrolled 116 asymptomatic patients in whom we performed ambulatory 24-h electrocardiographic Holter monitoring and before and after hemodialysis electrocardiographs. We measured the interval (PR, QRS, QTc, QTc dispersion) differences on the surface electrocardiographs and obtained frequency-domain measures from Holter monitoring (VLF, LF, HF and the LF/HF ratio). RESULTS: During the follow-up period, 13 participants died (11.2 %) and 16 (13.8 %) patients experienced a cardiovascular event. The pre-post-dialysis difference in QTc interval was the best predictor for cardiovascular events (95 % CI 0.453-0.786), while pre-dialysis QRS interval was the predictor for all-cause mortality (95 % CI 1.134-3.136). Also, both outcomes were predicted by pre-post-dialysis difference in PR interval and VLF. CONCLUSIONS: Interval changes during hemodialysis are predictive for cardiovascular events and mortality. Autonomic dysfunction and changes in PR should be monitored routinely, particularly in patients with suspected coronary artery disease.
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