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Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease

Chronic kidney disease (CKD) is a strong risk factor for cardiovascular disease. An electrocardiogram (ECG) is a basic test for screening cardiovascular disease. However, the impact of ECG abnormalities on cardiovascular prognosis in patients with CKD is largely unknown. A total of 2442 patients wit...

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Autores principales: Park, Sejun, Yum, Yunjin, Cha, Jung-Joon, Joo, Hyung Joon, Park, Jae Hyoung, Hong, Soon Jun, Yu, Cheol Woong, Lim, Do-Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506179/
https://www.ncbi.nlm.nih.gov/pubmed/36143060
http://dx.doi.org/10.3390/jcm11185414
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author Park, Sejun
Yum, Yunjin
Cha, Jung-Joon
Joo, Hyung Joon
Park, Jae Hyoung
Hong, Soon Jun
Yu, Cheol Woong
Lim, Do-Sun
author_facet Park, Sejun
Yum, Yunjin
Cha, Jung-Joon
Joo, Hyung Joon
Park, Jae Hyoung
Hong, Soon Jun
Yu, Cheol Woong
Lim, Do-Sun
author_sort Park, Sejun
collection PubMed
description Chronic kidney disease (CKD) is a strong risk factor for cardiovascular disease. An electrocardiogram (ECG) is a basic test for screening cardiovascular disease. However, the impact of ECG abnormalities on cardiovascular prognosis in patients with CKD is largely unknown. A total of 2442 patients with CKD (stages 3–5) who underwent ECG between 2013 and 2015 were selected from the electronic health record database of the Korea University Anam Hospital. ECG abnormalities were defined using the Minnesota classification. The five-year major adverse cerebrocardiovascular event (MACCE), the composite of death, myocardial infarction (MI), and stroke were analyzed. The five-year incidences for MACCE were 27.7%, 20.8%, and 17.2% in patients with no, minor, and major ECG abnormality (p < 0.01). Kaplan–Meier curves also showed the highest incidence of MI, death, and MACCE in patients with major ECG abnormality. Multivariable Cox regression analysis revealed age, sex, diabetes, CKD stage, hsCRP, antipsychotic use, and major ECG abnormality as independent risk predictors for MACCE (adjusted HR of major ECG abnormality: 1.39, 95% CI: 1.09–1.76, p < 01). Among the detailed ECG diagnoses, sinus tachycardia, myocardial ischemia, atrial premature complex, and right axis deviation were proposed as important ECG diagnoses. The accuracy of cardiovascular risk stratification was improved when the ECG results were added to the conventional SCORE model (net reclassification index 0.07). ECG helps to predict future cerebrocardiovascular events in CKD patients. ECG diagnosis can be useful for cardiovascular risk evaluation in CKD patients when applied in addition to the conventional risk stratification model.
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spelling pubmed-95061792022-09-24 Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease Park, Sejun Yum, Yunjin Cha, Jung-Joon Joo, Hyung Joon Park, Jae Hyoung Hong, Soon Jun Yu, Cheol Woong Lim, Do-Sun J Clin Med Article Chronic kidney disease (CKD) is a strong risk factor for cardiovascular disease. An electrocardiogram (ECG) is a basic test for screening cardiovascular disease. However, the impact of ECG abnormalities on cardiovascular prognosis in patients with CKD is largely unknown. A total of 2442 patients with CKD (stages 3–5) who underwent ECG between 2013 and 2015 were selected from the electronic health record database of the Korea University Anam Hospital. ECG abnormalities were defined using the Minnesota classification. The five-year major adverse cerebrocardiovascular event (MACCE), the composite of death, myocardial infarction (MI), and stroke were analyzed. The five-year incidences for MACCE were 27.7%, 20.8%, and 17.2% in patients with no, minor, and major ECG abnormality (p < 0.01). Kaplan–Meier curves also showed the highest incidence of MI, death, and MACCE in patients with major ECG abnormality. Multivariable Cox regression analysis revealed age, sex, diabetes, CKD stage, hsCRP, antipsychotic use, and major ECG abnormality as independent risk predictors for MACCE (adjusted HR of major ECG abnormality: 1.39, 95% CI: 1.09–1.76, p < 01). Among the detailed ECG diagnoses, sinus tachycardia, myocardial ischemia, atrial premature complex, and right axis deviation were proposed as important ECG diagnoses. The accuracy of cardiovascular risk stratification was improved when the ECG results were added to the conventional SCORE model (net reclassification index 0.07). ECG helps to predict future cerebrocardiovascular events in CKD patients. ECG diagnosis can be useful for cardiovascular risk evaluation in CKD patients when applied in addition to the conventional risk stratification model. MDPI 2022-09-15 /pmc/articles/PMC9506179/ /pubmed/36143060 http://dx.doi.org/10.3390/jcm11185414 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Park, Sejun
Yum, Yunjin
Cha, Jung-Joon
Joo, Hyung Joon
Park, Jae Hyoung
Hong, Soon Jun
Yu, Cheol Woong
Lim, Do-Sun
Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease
title Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease
title_full Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease
title_fullStr Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease
title_full_unstemmed Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease
title_short Prevalence and Clinical Impact of Electrocardiographic Abnormalities in Patients with Chronic Kidney Disease
title_sort prevalence and clinical impact of electrocardiographic abnormalities in patients with chronic kidney disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506179/
https://www.ncbi.nlm.nih.gov/pubmed/36143060
http://dx.doi.org/10.3390/jcm11185414
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