Prevalence of abnormalities in electrocardiogram conduction in dialysis patients: a comparative study
Firas Ajam1, Arda Akoluk1, Anas Alrefaee1
1Jersey Shore University Medical Center - Hackensack Meridian Health, Department of Medicine, Neptune, NJ, EUA.
Insights
Electrocardiogram (ECG) conduction intervals are longer in patients undergoing hemodialysis (HD) compared to peritoneal dialysis (PD) and early chronic kidney disease (CKD). This suggests ECG may help identify dialysis patients needing proactive cardiac evaluation.
Area of Science:
- Nephrology
- Cardiology
- Medical Diagnostics
Background:
- Electrocardiograms (ECG) can identify chronic kidney disease (CKD) patients at high risk for cardiovascular diseases.
- While ECG abnormalities in hemodialysis (HD) patients are documented, comparisons with peritoneal dialysis (PD) and early CKD are lacking.
- This study investigated differences in ECG conduction abnormalities across CKD stages and dialysis modalities.
Purpose of the Study:
- To compare ECG conduction abnormalities and interval times in patients on hemodialysis (HD) versus peritoneal dialysis (PD) and early chronic kidney disease (CKD stages 1-2).
- To test the hypothesis that ECG conduction abnormalities are more prevalent and cardiac intervals longer in HD patients.
Main Methods:
- Retrospective chart review of adult inpatients and outpatients.
- Comparison between patients with "Hemodialysis" billing codes and those without, plus an outpatient PD cohort.
- Exclusion of patients with CKD stages 3 or 4.
Main Results:
- ECG conduction intervals (PR, QRS, QT, QTc) were significantly longer in HD patients compared to PD and early CKD groups (p<0.05 for all).
- Left bundle branch block prevalence was significantly higher in HD patients (13.6%) than PD (5%) or early CKD (2%) (p=0.03).
- A progressive increase in ECG conduction times was observed from CKD stages 1-2 to PD, and further to HD.
Conclusions:
- This study is the first to report significantly longer ECG conduction intervals progressing from early CKD to PD and then to HD.
- Findings support using ECG conduction times to identify dialysis patients who may benefit from cardiac risk assessment.
- Further research is warranted to leverage ECG data for proactive cardiac care in dialysis populations.
Background:
The electrocardiogram (ECG) can aid in identification of chronic kidney disease (CKD) patients at high risk for cardiovascular diseases. Cohort studies describe ECG abnormalities in patients on hemodialysis (HD), but we did not find data comparing ECG abnormalities among patients with normal kidney function or peritoneal dialysis (PD) to those on hemodialysis. We hypothesized that ECG conduction abnormalities would be more common, and cardiac conduction interval times longer, among patients on hemodialysis vs. those on peritoneal dialysis and CKD 1 or 2.
Methods:
Retrospective review of adult inpatients' charts, comparing those with billing codes for "Hemodialysis" vs. inpatients without those charges, and an outpatient peritoneal dialysis cohort. Patients with CKD 3 or 4 were excluded.
Results:
One hundred and sixty-seven charts were reviewed. ECG conduction intervals were consistently and statistically longer among hemodialysis patients (n=88) vs. peritoneal dialysis (n=22) and CKD stage 1 and 2 (n=57): PR (175±35 vs 160±44 vs 157±22 msec) (p=0.009), QRS (115±32 vs. 111±31 vs 91±18 msec) (p=0.001), QT (411±71 vs. 403±46 vs 374±55 msec) (p=0.006), QTc (487±49 vs. 464±38 vs 452±52 msec) (p=0.0001). The only significantly different conduction abnormality was prevalence of left bundle branch block: 13.6% among HD patients, 5% in PD, and 2% in CKD 1 and 2 (p=0.03).
Conclusion:
To our knowledge, this is the first study to report that ECG conduction intervals are significantly longer as one progresses from CKD Stage 1 and 2, to PD, to HD. These and other data support the need for future research to utilize ECG conduction times to identify dialysis patients who could potentially benefit from proactive cardiac evaluations and risk reduction.
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