Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study

©2019 JGC All rights reserved; Background There are limited data on the prevalence of electrocardiographic (ECG) abnormalities, and their value for predicting a major adverse cardiovascular event (MACE) in patients at high cardiovascular risk. This study aimed to determine the prevalence of ECG abno...

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Main Authors: Rungroj Krittayaphong, Muenpetch Muenkaew, Polakit Chiewvit, Nithima Ratanasit, Yodying Kaolawanich, Arintaya Phrommintikul
Format: Journal
Published: 2020
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/68016
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spelling th-cmuir.6653943832-680162020-04-02T15:15:54Z Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study Rungroj Krittayaphong Muenpetch Muenkaew Polakit Chiewvit Nithima Ratanasit Yodying Kaolawanich Arintaya Phrommintikul Medicine ©2019 JGC All rights reserved; Background There are limited data on the prevalence of electrocardiographic (ECG) abnormalities, and their value for predicting a major adverse cardiovascular event (MACE) in patients at high cardiovascular risk. This study aimed to determine the prevalence of ECG abnormalities in patients at high risk for cardiovascular events, and to identify ECG abnormalities that significantly predict MACE. Methods Patients aged ≥ 45 years with established atherosclerotic disease (EAD) were consecutively enrolled from the outpatient clinics of the six participating hospitals during April 2011 to March 2014. The following data were collected: demographic data, cardiovascular risk factors, history of cardiovascular event, physical examination, ECG and medications. ECG was analyzed using Minnesota Code criteria. MACE included cardiovascular death, non-fatal myocardial infarction, and hospitalization due to unstable angina or heart failure. Results A total of 2009 patients were included, 1048 patients (52.2%) had established EAD, and 961 patients (47.8%) had multiple risk factors (MRF). ECG abnormalities included atrial fibrillation (6.7%), premature ventricular contraction (5.4%), pathological Q-wave (Q/QS) (21.3%), T-wave inversion (20.0%), intraventricular ventricular conduction delay (IVCD) (7.3%), left ventricular hypertrophy (LVH) (12.2%), and AV block (12.5%). MACE occurred in 88 patients (4.4%). Independent predictors of MACE were chronic kidney disease, EAD, and the presence of atrial fibrillation, Q/QS, IVCD or LVH by ECG. Conclusions A high prevalence of ECG abnormalities was found. The prevalence of ECG abnormalities was high even among those with risk factors without documented cardiovascular disease. 2020-04-02T15:15:54Z 2020-04-02T15:15:54Z 2019-01-01 Journal 16715411 2-s2.0-85072585863 10.11909/j.issn.1671-5411.2019.08.004 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072585863&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68016
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Medicine
spellingShingle Medicine
Rungroj Krittayaphong
Muenpetch Muenkaew
Polakit Chiewvit
Nithima Ratanasit
Yodying Kaolawanich
Arintaya Phrommintikul
Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study
description ©2019 JGC All rights reserved; Background There are limited data on the prevalence of electrocardiographic (ECG) abnormalities, and their value for predicting a major adverse cardiovascular event (MACE) in patients at high cardiovascular risk. This study aimed to determine the prevalence of ECG abnormalities in patients at high risk for cardiovascular events, and to identify ECG abnormalities that significantly predict MACE. Methods Patients aged ≥ 45 years with established atherosclerotic disease (EAD) were consecutively enrolled from the outpatient clinics of the six participating hospitals during April 2011 to March 2014. The following data were collected: demographic data, cardiovascular risk factors, history of cardiovascular event, physical examination, ECG and medications. ECG was analyzed using Minnesota Code criteria. MACE included cardiovascular death, non-fatal myocardial infarction, and hospitalization due to unstable angina or heart failure. Results A total of 2009 patients were included, 1048 patients (52.2%) had established EAD, and 961 patients (47.8%) had multiple risk factors (MRF). ECG abnormalities included atrial fibrillation (6.7%), premature ventricular contraction (5.4%), pathological Q-wave (Q/QS) (21.3%), T-wave inversion (20.0%), intraventricular ventricular conduction delay (IVCD) (7.3%), left ventricular hypertrophy (LVH) (12.2%), and AV block (12.5%). MACE occurred in 88 patients (4.4%). Independent predictors of MACE were chronic kidney disease, EAD, and the presence of atrial fibrillation, Q/QS, IVCD or LVH by ECG. Conclusions A high prevalence of ECG abnormalities was found. The prevalence of ECG abnormalities was high even among those with risk factors without documented cardiovascular disease.
format Journal
author Rungroj Krittayaphong
Muenpetch Muenkaew
Polakit Chiewvit
Nithima Ratanasit
Yodying Kaolawanich
Arintaya Phrommintikul
author_facet Rungroj Krittayaphong
Muenpetch Muenkaew
Polakit Chiewvit
Nithima Ratanasit
Yodying Kaolawanich
Arintaya Phrommintikul
author_sort Rungroj Krittayaphong
title Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study
title_short Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study
title_full Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study
title_fullStr Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study
title_full_unstemmed Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study
title_sort electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: a multicenter study
publishDate 2020
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072585863&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/68016
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