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Effect of haemodialysis on signal-averaged electrocardiogram P-wave parameters
Andrzej J Jaroszyński1, Andrzej Głowniak, Tomasz Sodolski
1Clinic of Nephrology, Medical University of Lublin, Lublin, Poland. JaroszynskiAJ@interia.pl
Insights
Hemodialysis (HD) patients show abnormal P-wave signal-averaged electrocardiogram (SAECG) parameters, which improve after HD. Age, volume status, and anemia influence these SAECG findings in HD patients.
Area of Science:
- Cardiology
- Nephrology
- Biomedical Engineering
Background:
- P-wave signal-averaged electrocardiogram (SAECG) is a non-invasive tool for assessing paroxysmal atrial fibrillation risk.
- Hemodialysis (HD) may impact cardiac electrical activity, necessitating evaluation of SAECG parameters in HD patients.
Purpose of the Study:
- To investigate the effect of the hemodialysis (HD) process on SAECG parameters in HD patients.
- To identify factors influencing SAECG parameters in this patient group.
Main Methods:
- Forty-seven HD patients without significant cardiac disease underwent SAECG pre- and post-dialysis.
- Extracellular body water (ECW) and biochemical measurements were performed.
- Filtered P-wave duration (FPD) and RMS voltage of the final 20 ms (RMS20) were analyzed.
Main Results:
- HD patients exhibited higher pre- and post-dialysis FPD and lower pre- and post-dialysis RMS20 compared to controls.
- Hemodialysis significantly decreased FPD and increased RMS20.
- Age, ECW/kg body weight, and hemoglobin levels were independent predictors of FPD, but not RMS20.
Conclusions:
- P-wave SAECG parameters are abnormal in many HD patients but improve post-dialysis.
- Patient age, volume status, and anemia significantly influence SAECG parameters in HD patients.
Background:
The P-wave signal-averaged electrocardiogram (SAECG) is a non-invasive technique considered to indicate an increased risk for paroxysmal atrial fibrillation. The study was designed to evaluate the effect of the haemodialysis (HD) process on SAECG parameters in the group of selected HD patients.
Methods:
Forty-seven HD patients (without relevant cardiac diseases) were included. SAECGs were performed pre- and post-dialysis together with evaluating extracellular body water (ECW) by using bioimpedance and biochemical measurements. For each SAECG, filtered P-wave duration (FPD) and root mean square voltage of the final 20 ms of filtered P-wave (RMS20) were established.
Results:
The duration of either pre- or post-dialysis FDP was higher in HD patients than in the control group (P<0.001 and P = 0.005, respectively). The voltage of either pre- or post-dialysis RMS20 was reduced in HD patients compared with controls (P<0.001 in both cases). HD induced a decrease in the duration of the FDP and a significant increase in the voltage of RMS20 (P<0.001 in both cases). Stepwise multiple regression identified independent predictors of pre- and post-dialysis FDP as: (1) age; (2) pre- and post-dialysis ECW/kg body weight, respectively and; (3) pre- and post-dialysis haemoglobin levels, respectively. In the case of RMS20, we did not find any independent predictors either pre- or post-dialysis.
Conclusions:
Our study revealed that P-wave SAECG parameters are abnormal in a significant portion of HD patients and improved with HD process. We have also demonstrated that patients' age, volume status as well as the presence of anaemia are important factors influencing P-wave SAECG parameters in HD patients.
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