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Specialty: Cardiology
Procedure: Electrocardiogram

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Total 548 results found since Jan 2013.

New-onset atrial fibrillation in patients with worsening heart failure and coronary artery disease: an analysis from the COMMANDER-HF trial
ConclusionsA well-calibrated risk-score identified patients at risk of new-onset AF in the COMMANDER-HF trial. Patients who developed AF had a higher risk of subsequent death.Graphic abstractRisk of new-onset atrial fibrillation in patients with HFrEF and coronary artery disease
Source: Clinical Research in Cardiology - June 14, 2021 Category: Cardiology Source Type: research

Predictive value of left atrial function for latent paroxysmal atrial fibrillation as the cause of embolic stroke of undetermined source
CONCLUSIONS: LA strain was significantly associated with new development of AF. Patients with impaired LA function at admission should be carefully monitored to find AF.PMID:34119401 | DOI:10.1016/j.jjcc.2021.05.005
Source: Journal of Cardiology - June 13, 2021 Category: Cardiology Authors: Kenya Kusunose Hironori Takahashi Susumu Nishio Yukina Hirata Robert Zheng Takayuki Ise Koji Yamaguchi Shusuke Yagi Daiju Fukuda Hirotsugu Yamada Takeshi Soeki Tetsuzo Wakatsuki Kenji Shimada Yasuhisa Kanematsu Yasushi Takagi Masataka Sata Source Type: research

Electrocardiographic markers of incident atrial fibrillation in patients with cryptogenic stroke
Conclusion: PWD and P-wave axis predicted incident AF in this subset of pts with cryptogenic stroke. The ECG may be a toll to identify pts at risk of developing AF, although larger studies are needed to confirm these results. Abstract Figure.
Source: Europace - May 24, 2021 Category: Cardiology Source Type: research

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management
AbstractThere has been an exponential growth of artificial intelligence (AI) and machine learning (ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has been mainly driven by the confluence of two factors: the advances in deep neural networks (DeepNNs) and the availability of large, open access databases. It is observed that most of the attention has centred on applying ML for dvsetecting AF, particularly using electrocardiograms (ECGs) as the main data modality. Nearly a third of them used DeepNNs to minimize or eliminate the need for transforming the ECGs to extract features prior t...
Source: Cardiovascular Research - May 12, 2021 Category: Cardiology Source Type: research

Challenges in managing ST elevation myocardial infarction during the COVID-19 pandemic
CONCLUSION: This single academic center study in the United States suggests that there is a delay in patients with STEMI seeking medical attention during the COVID-19 pandemic which could be translating into worse clinical outcomes.PMID:33968306 | PMC:PMC8069518 | DOI:10.4330/wjc.v13.i4.76
Source: World Journal of Cardiology - May 10, 2021 Category: Cardiology Authors: Megan Smith Aniruddha Singh Douglas McElroy Shilpi Mittal Richard Pham Source Type: research