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Source: The American Journal of Cardiology
Procedure: Electrocardiogram

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Total 27 results found since Jan 2013.

Usefulness of Electrocardiographic Patterns at Presentation to Predict Long-term Risk of Cardiac Death in Patients With Hypertrophic Cardiomyopathy
The objective of this study was to investigate the prognostic significance of 12-lead electrocardiogram (ECG) patterns in a large multicenter cohort of patients with hypertrophic cardiomyopathy; 1,004 consecutive patients with hypertrophic cardiomyopathy and a recorded standard ECG (64% men, mean age 50 ± 16 years) were evaluated at 4 Italian centers. The study end points were sudden cardiac death (SCD) or surrogates, including appropriate implanted cardiac defibrillator discharge and resuscitated cardiac arrest and major cardiovascular events (including SCD or surrogates and death due to heart f ailure, cardioembolic st...
Source: The American Journal of Cardiology - May 14, 2016 Category: Cardiology Authors: Elena Biagini, Chiara Pazzi, Iacopo Olivotto, Beatrice Musumeci, Giuseppe Limongelli, Giuseppe Boriani, Giuseppe Pacileo, Vittoria Mastromarino, Maria Letizia Bacchi Reggiani, Massimiliano Lorenzini, Francesco Lai, Alessandra Berardini, Francesca Mingardi Tags: Cardiomyopathy Source Type: research

Usefulness of Atrial Premature Complexes on Routine Electrocardiogram to Determine the Risk of Atrial Fibrillation (From the REGARDS Study)
We examined the association between APCs and AF in 13,840 (mean age=63 ±8.4 years; 56% women; 37% black) participants from the REasons for Geographic And Racial Differences in Stroke study. APCs were detected on baseline electrocardiograms (2003-2007). Incident AF was identified by study-scheduled electrocardiograms and self-reported history at a follow-up examination .
Source: The American Journal of Cardiology - June 14, 2017 Category: Cardiology Authors: Wesley T. O'Neal, Hooman Kamel, Suzanne E. Judd, Monika M. Safford, Viola Vaccarino, Virginia J. Howard, George Howard, Elsayed Z. Soliman Source Type: research

Painless Mini-Wellens Sign 5 Minutes after Exercise in a Man with Previously Undiagnosed Total Occlusion of the Left Anterior Descending and Right Coronary Arteries
A 60-year-old man with no coronary artery history and a normal resting electrocardiogram came to the hospital with his second stroke and underwent a treadmill exercise test before carotid endarterectomy. He had no chest pain and stopped because of leg pain. Five minutes after exercise he developed terminal T-wave inversion in leads V3 and V4 that lasted 7 minutes. The T-wave pattern resembled the Wellens pattern that has usually been seen after intense preinfarction rest pain and has usually lasted hours, days, or even weeks.
Source: The American Journal of Cardiology - September 5, 2017 Category: Cardiology Authors: Mazen M. Kawji, David Luke Glancy Source Type: research

Frequency of Electrocardiographic Abnormalities in Patients with Psoriasis
Psoriasis is a chronic inflammatory disease associated with cardiovascular disease, e.g., myocardial infarction, stroke, cardiovascular death, and arrhythmias. The resting electrocardiogram (ECG) may carry prognostic information but limited evidence is available of ECG findings in subjects with psoriasis. The ECG was compared between 1,131 individuals with self-reported psoriasis and 18,397 controls participating in the Danish General Suburban Population Study. The mean heart rate was marginally increased in patients with psoriasis (66 ± 11 vs.
Source: The American Journal of Cardiology - February 4, 2018 Category: Cardiology Authors: Peter Riis Hansen, Christian Rimer Juhl, Jonas Lynggaard Isaksen, Gregor Borut Jemec, Christina Ellervik, J ørgen Kim Kanters Source Type: research

Frequency of Electrocardiographic Abnormalities in Patients With Psoriasis
Psoriasis is a chronic inflammatory disease associated with cardiovascular disease, for example, myocardial infarction, stroke, cardiovascular death, and arrhythmias. The resting electrocardiogram may carry prognostic information, but limited evidence is available of electrocardiographic findings in subjects with psoriasis. The electrocardiographic results were compared between 1,131 subjects with self-reported psoriasis and 18,397 controls participating in the Danish General Suburban Population Study (GESUS).
Source: The American Journal of Cardiology - February 4, 2018 Category: Cardiology Authors: Peter Riis Hansen, Christian Rimer Juhl, Jonas Lynggaard Isaksen, Gregor Borut Jemec, Christina Ellervik, J ørgen Kim Kanters Tags: Miscellaneous Source Type: research

Relation of Electrocardiographic Left Atrial Abnormalities to Risk of Stroke in Patients with Atrial Fibrillation
The P wave terminal force in lead V1 (PTFV1) on the 12-lead ECG quantifies left atrial (LA) structural and electrophysiological abnormalities. We aimed to evaluate the association between PTFV1 and cerebrovascular accident (CVA) as well as LA structure and function in patients with atrial fibrillation (AF). We conducted a cross-sectional study of 229 patients with AF (60 ±10 years, 72% male) with (n=21) and without (n=208) a history of CVA, who underwent pre-ablation ECG and cardiac magnetic resonance (CMR) in sinus rhythm.
Source: The American Journal of Cardiology - May 2, 2018 Category: Cardiology Authors: Yuko Y. Inoue, Esra G. Ipek, Irfan M. Khurram, Luisa Ciuffo, Jonathan Chrispin, Stefan L. Zimmerman, Joseph E. Marine, John Rickard, David D. Spragg, Saman Nazarian, Kengo Kusano, Joao A. Lima, Ronald D. Berger, Hugh Calkins, Hiroshi Ashikaga Source Type: research

Relation of Elevated Resting Heart Rate in Mid-Life to Cognitive Decline Over 20-years (from the Atherosclerosis Risk in Communities ARIC Study)
Resting heart rate (RHR) is independently associated with cardiovascular disease (CVD) risk. We determined whether RHR, measured in mid-life, is also associated with cognitive decline. We studied 13,720 middle-aged white and black ARIC participants without a prior history of stroke or atrial fibrillation. RHR was obtained from a 12-lead resting electrocardiogram at the baseline visit (1990-1992) and categorized into groups as
Source: The American Journal of Cardiology - October 20, 2018 Category: Cardiology Authors: Stephanie Wang, Oluwaseun E. Fashanu, Di Zhao, Eliseo Guallar, Rebecca F. Gottesman, Andrea L.C. Schneider, John W. McEvoy, Faye L. Norby, Amer I. Aladin, Alvaro Alonso, Erin D. Michos Source Type: research

Relation of Platelet Parameters with Incident Cardiovascular Disease (The Dongfeng-Tongji Cohort Study)
This study aimed to investigate the above-mentioned prospective relations in the middle-aged and older Chinese populations based on the Dongfeng-Tongji (DFTJ) cohort. We included 31,751 participants who were free of coronary heart disease (CHD), stroke, cancer, or severely abnormal electrocardiogram (ECG) at baseline.
Source: The American Journal of Cardiology - October 23, 2018 Category: Cardiology Authors: Shiqi He, Wenhui Lei, Jun Li, Kuai Yu, Yanqiu Yu, Lue Zhou, Xiaomin Zhang, Meian He, Huan Guo, Handong Yang, Tangchun Wu Source Type: research

Relation of Elevated Resting Heart Rate in Mid-Life to Cognitive Decline Over 20 Years (from the Atherosclerosis Risk in Communities ARIC Study)
Resting heart rate (RHR) is independently associated with cardiovascular disease (CVD) risk. We determined whether RHR, measured in mid-life, is also associated with cognitive decline. We studied 13,720 middle-aged white and black ARIC participants without a history of stroke or atrial fibrillation. RHR was obtained from a 12-lead resting electrocardiogram at the baseline visit (1990 to 1992) and categorized into groups as
Source: The American Journal of Cardiology - October 20, 2018 Category: Cardiology Authors: Stephanie Wang, Oluwaseun E. Fashanu, Di Zhao, Eliseo Guallar, Rebecca F. Gottesman, Andrea L.C. Schneider, John W. McEvoy, Faye L. Norby, Amer I. Aladin, Alvaro Alonso, Erin D. Michos Source Type: research

Sex Differences in Risk Factors for Incident Atrial Fibrillation (From the Reasons for Geographic And Racial Differences in Stroke (REGARDS) Study)
We examined whether the sex differences in atrial fibrillation (AF) is related to difference in risk factors leading to AF or due to a differential impact of the same risk factors in 11,806 participants (55.2 % women) from the REGARDS study. Incident AF was ascertained by electrocardiograms and medical history at a follow-up examination. Backwards elimination logistic regression was used to identify AF risk factors in men and women, separately. Over a median follow-up of 9.0 years, 588 (11.1%) men and 428 (6.6%) women (p-value
Source: The American Journal of Cardiology - February 9, 2019 Category: Cardiology Authors: Abhishek Bose, Wesley T. O'Neal, Chengyi Wu, Leslie A. McClure, Suzanne E. Judd, Virginia J. Howard, George Howard, Elsayed Z. Soliman Source Type: research

Objectively Measured Physical Activity and the Risk of Atrial Fibrillation (From the REGARDS Study)
The association between objectively measured physical activity and atrial fibrillation (AF) has not been examined. Therefore, we examined the association between moderate and vigorous physical activity (MVPA) with incident AF in 5,147 participants who completed accelerometer assessment for 4 to 7 consecutive days in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. MVPA was defined as>1065 counts/minute, and daily mean time spent in MVPA was computed. Incident AF was identified during follow-up by a study-scheduled electrocardiogram and also from self-reported medical history of a physician diagnosis.
Source: The American Journal of Cardiology - May 13, 2020 Category: Cardiology Authors: Wesley T. O'Neal, Aleena Bennett, Matthew J. Singleton, Suzanne E. Judd, George Howard, Virginia J. Howard, Steven P. Hooker, Elsayed Z. Soliman Source Type: research

Machine Learning-Based Prediction of Atrial Fibrillation Risk Using Electronic Medical Records in Older Aged Patients
Atrial fibrillation (AF) is an independent risk factor that increases the risk of stroke 5-fold. The purpose of our study was to develop a 1-year new-onset AF predictive model by machine learning based on 3-year medical information without electrocardiograms in our database to identify AF risk in older aged patients. We developed the predictive model according to the Taipei Medical University clinical research database electronic medical records, including diagnostic codes, medications, and laboratory data.
Source: The American Journal of Cardiology - May 18, 2023 Category: Cardiology Authors: Yung-Ta Kao, Chun-Yao Huang, Yu-Ann Fang, Ju-Chi Liu, Tzu-Hao Chang Source Type: research