ArticlePloS one2014
P wave dispersion and maximum P wave duration are associated with renal outcomes in chronic kidney disease.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- ECG-based deep learning for chronic kidney disease detection and cardiovascular risk prediction.BMC medical informatics and decision making · 2025Article
- Deep learning-based electrocardiographic screening for chronic kidney disease.Communications medicine · 2023Article
- P-wave duration and interatrial conduction abnormalities in paroxysmal and persistent typical atrial flutter.Physiological research · 2022Article
- Effect of dialysis and transplantation on myocardial repolarization parameters and P-wave dispersion in chronic kidney disease.Journal of arrhythmia · 2021Article
- The assessment of P-wave dispersion and myocardial repolarization parameters in patients with chronic kidney disease.Renal failure · 2018Article
- Utility of P-Wave Dispersion in the Prediction of Atrial Fibrillation.Current health sciences journalArticle
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
P wave parameters measured by 12-lead electrocardiogram (ECG) are commonly used as a noninvasive tool to evaluate left atrial enlargement. This study was designed to assess whether P wave parameters were associated with renal outcomes in chronic kidney disease (CKD) patients. This longitudinal study enrolled 439 patients with CKD stages 3-5. Renal end points were defined as the commencement of dialysis or death. Change in renal function was measured using the estimated glomerular filtration rate (eGFR) slope. We measured two ECG P wave parameters corrected for heart rate, i.e., corrected P wave dispersion and corrected maximum P wave duration. The values of P wave dispersion and maximum P wave duration were 88.8±21.7 ms and 153.3±21.7 ms, respectively. During the follow-up period (mean, 25.2 months), 95 patients (21.6%) started hemodialysis and 30 deaths (6.8%) were recorded. Multivariate Cox regression analysis identified that increased P wave dispersion [hazard ratio (HR), 1.020; 95% confidence interval (CI), 1.009-1.032; P<0.001] and maximum P wave duration (HR, 1.013; 95% CI, 1.003-1.024; P = 0.012) were associated with progression to renal end points. Furthermore, increased P wave dispersion (unstandardized coefficient β = -0.016; P = 0.037) and maximum P wave duration (unstandardized coefficient β = -0.014; P = 0.040) were negatively associated with the eGFR slope. We demonstrated that increased P wave dispersion and maximum P wave duration were associated with progression to the renal end points of dialysis or death and faster renal function decline in CKD patients. Screening CKD patients on the basis of P wave dispersion and maximum P wave duration may help identify patients at high risk for worse renal outcomes.
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