2026-10-28T02:56:29Zhttps://kostu-rdlopen.rawdatalibrary.net/oai/request

oai:kostu-rdlopen.rawdatalibrary.net:kostu/103942026-10-27T23:53:14Zopenairecom_kostu_10000col_kostu_10001com_kostu_10007col_kostu_10061

Predictive value of P wave parameters, indices, and a novel electrocardiographic marker for silent cerebral infarction and future cerebrovascular eventsCagdas, MetinCelik, Aziz InanBezgin, TahirBaytugan, Nart ZaferDagli, MuharremZengin, AhmetOzmen, CaglarKarakoyun, SuleymanCerebrovascular eventsNovel electrocardiographic markerP waveSilent cerebral infarctionBackground: Silent cerebral infarction (SCI) is a neuronal injury without a clinically apparent stroke or transient ischaemic attack. Left atrial cardiomyopathy is closely associated with SCI. P wave changes in the electrocardiogram (ECG) provide significant information about the development of atrial cardiomyopathy. This study evaluated the role of P wave parameters and indices and a novel ECG parameter in predicting SCI, future cerebrovascular events, and atrial fibrillation/flutter. Materials and methods: A total of 272 patients were retrospectively screened and divided into two groups according to SCI. Cerebrovascular events and atrial fibrillation/flutter were defined as the study's outcomes. P wave parameters, indices, and a novel ECG parameter called the P wave ratio (PWR) were calculated from ECGs, and the relationship between SCI and outcomes was investigated. Results: The maximum P wave duration (PWD), P wave dispersion (PWdisp), PWD measured from the D2 lead (PWDD2), P wave peak time measured from the D2 lead (PWPTD2), PWPT measured from the V1 lead (PWPTV1), and P wave terminal force (PWTFV1) were significantly longer in the SCI group. Both partial and advanced inter atrial block (IAB) were significantly high in the SCI group. The novel parameter P wave ratio (PWR) was significantly longer in the SCI group (0.55 ± 0.08 vs. 0.46 ± 0.09; p < 0.001). In multivariate regression analysis, PWdisp (OR: 1.101, p < 0.001), PWPTD2 (OR: 1.095, p = 0.017), and PWR (OR: 1.231, p < 0.001) were found to be independent predictors of SCI. Cox regression analysis revealed that the PWR (HR 1.077; 95% CI 1.029–1.128; p = 0.001) was associated with cerebrovascular events and atrial fibrillation/flutter. Conclusion: In our study, we observed that PWR could be a valuable parameter for predicting SCI and future cerebrovascular events.Elsevier B.V.2023Articlehttps://rdlopen.rawdatalibrary.net/r/kostu/10394https://doi.org/10.1016/j.jelectrocard.2023.09.0040022-0736enJournal of Electrocardiologyinfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/articlehttps://kostu-rdlopen.rawdatalibrary.net/tr/items/kostu/10394