Publication: Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study
Issued Date
2019-01-01
Resource Type
ISSN
16715411
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2-s2.0-85072585863
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Mahidol University
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SCOPUS
Bibliographic Citation
Journal of Geriatric Cardiology. Vol.16, No.8 (2019), 630-638
Suggested Citation
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. Journal of Geriatric Cardiology. Vol.16, No.8 (2019), 630-638. doi:10.11909/j.issn.1671-5411.2019.08.004 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/52342
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Title
Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: A multicenter study
Abstract
©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.