Article
Cardiac & Cardiovascular Systems
Louise Segan, Rodrigo Canovas, Shane Nanayakkara, David Chieng, Sandeep Prabhu, Aleksandr Voskoboinik, Hariharan Sugumar, Liang-Han Ling, Geoff Lee, Joseph Morton, Andre LaGerche, David M. Kaye, Prashanthan Sanders, Jonathan M. Kalman, Peter M. Kistler
Summary: The aim of this study was to develop and validate a lifestyle risk score for atrial fibrillation (AF) to identify individuals at risk in the general population. The study found that hypertension, age, body mass index, male sex, sleep apnoea, smoking, and alcohol were predictive factors for AF, while physical inactivity and diabetes were not significant. The newly developed risk score outperformed traditional AF risk models and could assist in population screening for AF.
EUROPEAN HEART JOURNAL
(2023)
Article
Cardiac & Cardiovascular Systems
Timm Seewoester, Kaloyan Marinov, Susanne Loebe, Helge Knopp, Sotirios Nedios, Andreas Bollmann, Gerhard Hindricks, Borislav Dinov
Summary: The study found that more pronounced left atrial asynchrony and abnormal activation pattern were associated with new-onset atrial fibrillation.
Review
Medicine, General & Internal
Pawel Walek, Joanna Roskal-Walek, Patryk Dlubis, Beata Wozakowska-Kaplon
Summary: Atrial fibrillation (AF) is a common atrial tachyarrhythmia, and direct current cardioversion (DCCV) is a treatment method, but there is a high percentage of AF recurrences after this procedure. To assess the prognosis of DCCV effectiveness, clinical, biochemical, and echocardiographic parameters are used. This review aims to systematize the current knowledge on echocardiographic measurements in patients with persistent AF for assessing the progress of atrial wall remodeling, which impacts the maintenance of sinus rhythm after DCCV.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, General & Internal
Zuolin Lu, Martijn J. Tilly, Elif Aribas, Daniel Bos, Sven Geurts, Bruno H. Stricker, Robert de Knegt, M. Arfan Ikram, Natasja M. S. de Groot, Trudy Voortman, Maryam Kavousi
Summary: The study found that different body fat depots were associated with the development of new-onset atrial fibrillation (AF). Total fat mass and abdominal fat mass were independently associated with AF, while the ratio of abdominal fat to hip fat showed an inverse association. These findings provide new insights into the pathogenesis and prevention of AF.
Review
Cardiac & Cardiovascular Systems
Sven Geurts, Zuolin Lu, Maryam Kavousi
Summary: Atrial fibrillation (AF) is a common cardiac arrhythmia with a significant impact on quality of life. There are sex differences in various aspects of AF, but there is a lack of comprehensive sex- and gender-specific prediction models for new-onset AF. Utilizing artificial intelligence and big data has the potential to improve AF risk prediction and make advancements in sex- and gender-specific prediction and prevention of AF.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Physiology
Jia-hui Li, Hai-yang Xie, Yan-qiao Chen, Zhong-jing Cao, Qing-hui Tang, Xiao-gang Guo, Qi Sun, Jian Ma
Summary: The study aimed to describe the incidence of AF in patients with typical AFL after CTI ablation and found that obstructive sleep apnea, advanced interatrial block, left atrial diameter > 42 mm, and CHA(2)DS(2)-VASc score > 2 were independent risk factors for new-onset AF.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Cardiac & Cardiovascular Systems
Siming Zhu, Hebin Che, Yunlong Fan, Shengli Jiang
Summary: This study aimed to develop a new nomogram to predict postoperative atrial fibrillation (POAF) using preoperative and intraoperative risk factors. Logistic regression performed better than machine learning in predicting POAF, and a simple bedside tool comprising three variables was established with good discriminative ability. The new nomogram may assist clinicians in identifying individuals who are prone to POAF.
JOURNAL OF CARDIOTHORACIC SURGERY
(2023)
Article
Cardiac & Cardiovascular Systems
Daniel Lancini, Wei Lian Tan, Kristyan Guppy-Coles, Robert Boots, Sandhir Prasad, John Atherton, Paul Martin
Summary: This study aimed to determine the factors associated with subsequent atrial fibrillation (AF) diagnoses and other adverse outcomes in critical illness associated new onset AF (CI-NOAF) patients. The results showed that AF burden and left atrial size were independently associated with subsequent AF. It was also found that CI-NOAF is often under-recognized and subsequent AF diagnoses are common post-discharge.
Article
Cardiac & Cardiovascular Systems
Jo-Nan Liao, Su-Shen Lim, Tzeng-Ji Chen, Ta-Chuan Tuan, Shih-Ann Chen, Tze-Fan Chao
Summary: The modified Taiwan AF score based on age and clinical comorbidities can be used to predict incident AF in the Asian population. The risk of AF increases with higher scores.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2022)
Article
Medicine, General & Internal
Na Wu, Junzheng Li, Xiang Xu, Zhiquan Yuan, Lili Yang, Yanxiu Chen, Tingting Xia, Qin Hu, Zheng Chen, Chengying Li, Ying Xiang, Zhihui Zhang, Li Zhong, Yafei Li
Summary: This study aimed to identify risk factors for new-onset atrial fibrillation (NOAF) in acute coronary syndrome (ACS) patients during hospitalization and develop a prediction model and nomogram for individual risk prediction. Age, admission heart rate, left atrial diameter, right atrial diameter, heart failure, brain natriuretic peptide (BNP) level, less statin use, and no percutaneous coronary intervention (PCI) were found to be independent predictors of NOAF. The model showed good performance in both the training and validation cohorts, which could help with early intervention of NOAF.
INTERNATIONAL JOURNAL OF CLINICAL PRACTICE
(2023)
Article
Cardiac & Cardiovascular Systems
Alexandre Gautier, Fabien Picard, Gregory Ducrocq, Yedid Elbez, Kim M. Fox, Roberto Ferrari, Ian Ford, Jean-Claude Tardif, Michal Tendera, Philippe Gabriel Steg
Summary: This study found that new-onset atrial fibrillation (NOAF) is common among patients with chronic coronary syndromes (CCS) and is associated with increased risk of cardiovascular adverse events. Age, body mass index, glomerular filtration rate, ethnicity, alcohol intake, and left ventricular ejection fraction were identified as predictors of NOAF. The study suggests that more intensive preventive measures and systematic screening for atrial fibrillation should be considered in this patient population.
EUROPEAN HEART JOURNAL
(2023)
Review
Cardiac & Cardiovascular Systems
Jelena Kornej, Vanessa A. Hanger, Ludovic Trinquart, Darae Ko, Sarah R. Preis, Emelia J. Benjamin, Honghuang Lin
Summary: Atrial fibrillation (AF) is a common cardiac arrhythmia with unknown molecular mechanisms, but recent advances in high-throughput technologies have enabled large-scale molecular profiling and identification of potential biomarkers. Studies on multiomics profiles have led to the discovery of novel biomarkers for AF, with ongoing discussions on limitations and future directions in risk assessment and therapeutic target discovery.
CARDIOVASCULAR RESEARCH
(2021)
Article
Medicine, General & Internal
Myung Jin Song, Yeonhoon Jang, Ji Hyun Lee, Joo Heung Yoon, Dong Jung Kim, Se Young Jung, Sung Yoon Lim
Summary: This study found that the use of dexmedetomidine in the ICU was associated with a decreased risk of new-onset atrial fibrillation (NOAF) and in-hospital mortality in patients with critical illness.
Article
Medicine, General & Internal
Stjepan Jurisic, Mathis Komminoth, Atanas Todorov, Daniela A. Bertschi, Martin Jurisic, Ivica Vranjic, Benedikt Wiggli, Hansruedi Schmid, Catherine Gebhard, Caroline E. Gebhard, Bettina Heidecker, Juerg-Hans Beer, Dimitri Patriki
Summary: In patients with COVID-19, new-onset atrial fibrillation is associated with an increased risk of invasive ventilation and transfer to the intermediate/intensive care unit (IMC/ICU), but does not affect in-hospital or long-term mortality.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Biology
Ashkan Parsi, Martin Glavin, Edward Jones, Dallan Byrne
Summary: The paper introduces a novel method using new features to predict paroxysmal atrial fibrillation (PAF) with high accuracy, outperforming existing state-of-the-art feature sets.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)