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Electrocardiographic Findings in Patients with Polycythemia Vera

Background: The 12-lead surface electrocardiogram (ECG) is a useful tool to predict both atrial and ventricular arrhythmias via P-wave and QT measurements and its derivatives. Polycythemia vera (PV) is a chronic myeloproliferative disorder associated with cardiovascular events. The aim of this study...

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Autores principales: Kayrak, Mehmet, Acar, Kadir, Gul, Enes Elvin, Abdulhalikov, Turyan, Bağlıcaklıoğlu, Murat, Sonmez, Osman, Kaya, Zeynettin, Arı, Hatem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245418/
https://www.ncbi.nlm.nih.gov/pubmed/22211096
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author Kayrak, Mehmet
Acar, Kadir
Gul, Enes Elvin
Abdulhalikov, Turyan
Bağlıcaklıoğlu, Murat
Sonmez, Osman
Kaya, Zeynettin
Arı, Hatem
author_facet Kayrak, Mehmet
Acar, Kadir
Gul, Enes Elvin
Abdulhalikov, Turyan
Bağlıcaklıoğlu, Murat
Sonmez, Osman
Kaya, Zeynettin
Arı, Hatem
author_sort Kayrak, Mehmet
collection PubMed
description Background: The 12-lead surface electrocardiogram (ECG) is a useful tool to predict both atrial and ventricular arrhythmias via P-wave and QT measurements and its derivatives. Polycythemia vera (PV) is a chronic myeloproliferative disorder associated with cardiovascular events. The aim of this study was to assess ECG findings of patients with PV. Method and materials: Sixty patients with PV (34 male, mean age 58±11 years) and 60 age and gender-matched healthy volunteers were enrolled into the study. From the 12-lead surface ECG, P-wave and both conventional QT measurements and transmyocardial repolarization parameters (T(peak)-T(end) interval (T(p)-T(e)) and derivatives) were evaluated digitally by two experienced cardiologists. In addition, a novel parameter, Pi was calculated digitally as the standard deviation of the P-wave duration across the 12 ECG leads. Results: QT duration and corrected QT interval were significantly longer in the PV group compared to healthy controls (p<0.01 and p<0.01, respectively). The T(p)-T(e) was longer and the T(p)-T(e)/QT ratio was significantly higher in the PV group compared to the controls. P-wave analyses showed that all P-wave parameters including Pmax, Pmin, P dispersion, and Pi were significantly prolonged in PV patients compared to the controls. The increase of both T(p)-T(e )and P max in the PV group was independent of age, BMI, diabetes and hypertension, gender, systolic blood pressure, hemoglobin, hematocrit, left atrial dimension, left ventricular end-diastolic diameter and early deceleration time in a univariate analysis of co-variance model (F=11.097, p=0.001 and F=31.537, p=0.0001, respectively). Conclusion: The present study demonstrated that PV may be associated with electrocardiographic abnormalities of both atrium and ventricle.
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spelling pubmed-32454182012-01-01 Electrocardiographic Findings in Patients with Polycythemia Vera Kayrak, Mehmet Acar, Kadir Gul, Enes Elvin Abdulhalikov, Turyan Bağlıcaklıoğlu, Murat Sonmez, Osman Kaya, Zeynettin Arı, Hatem Int J Med Sci Research Paper Background: The 12-lead surface electrocardiogram (ECG) is a useful tool to predict both atrial and ventricular arrhythmias via P-wave and QT measurements and its derivatives. Polycythemia vera (PV) is a chronic myeloproliferative disorder associated with cardiovascular events. The aim of this study was to assess ECG findings of patients with PV. Method and materials: Sixty patients with PV (34 male, mean age 58±11 years) and 60 age and gender-matched healthy volunteers were enrolled into the study. From the 12-lead surface ECG, P-wave and both conventional QT measurements and transmyocardial repolarization parameters (T(peak)-T(end) interval (T(p)-T(e)) and derivatives) were evaluated digitally by two experienced cardiologists. In addition, a novel parameter, Pi was calculated digitally as the standard deviation of the P-wave duration across the 12 ECG leads. Results: QT duration and corrected QT interval were significantly longer in the PV group compared to healthy controls (p<0.01 and p<0.01, respectively). The T(p)-T(e) was longer and the T(p)-T(e)/QT ratio was significantly higher in the PV group compared to the controls. P-wave analyses showed that all P-wave parameters including Pmax, Pmin, P dispersion, and Pi were significantly prolonged in PV patients compared to the controls. The increase of both T(p)-T(e )and P max in the PV group was independent of age, BMI, diabetes and hypertension, gender, systolic blood pressure, hemoglobin, hematocrit, left atrial dimension, left ventricular end-diastolic diameter and early deceleration time in a univariate analysis of co-variance model (F=11.097, p=0.001 and F=31.537, p=0.0001, respectively). Conclusion: The present study demonstrated that PV may be associated with electrocardiographic abnormalities of both atrium and ventricle. Ivyspring International Publisher 2011-12-14 /pmc/articles/PMC3245418/ /pubmed/22211096 Text en © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited.
spellingShingle Research Paper
Kayrak, Mehmet
Acar, Kadir
Gul, Enes Elvin
Abdulhalikov, Turyan
Bağlıcaklıoğlu, Murat
Sonmez, Osman
Kaya, Zeynettin
Arı, Hatem
Electrocardiographic Findings in Patients with Polycythemia Vera
title Electrocardiographic Findings in Patients with Polycythemia Vera
title_full Electrocardiographic Findings in Patients with Polycythemia Vera
title_fullStr Electrocardiographic Findings in Patients with Polycythemia Vera
title_full_unstemmed Electrocardiographic Findings in Patients with Polycythemia Vera
title_short Electrocardiographic Findings in Patients with Polycythemia Vera
title_sort electrocardiographic findings in patients with polycythemia vera
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245418/
https://www.ncbi.nlm.nih.gov/pubmed/22211096
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