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Mekonen Gdey M, Buch P, Pareesa F, Thorani M, Nasser H, Bandaru RR, Wei CR, Palleti SK. Predictors of Developing Postoperative Atrial Fibrillation in Patients Undergoing Coronary Artery Bypass Graft: A Systematic Review and Meta-Analysis. Cureus 2023; 15:e51316. [PMID: 38288215 PMCID: PMC10823463 DOI: 10.7759/cureus.51316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/29/2023] [Indexed: 01/31/2024] Open
Abstract
The objective of this study was to determine predictors of postoperative atrial fibrillation (POAF) among coronary artery bypass graft (CABG) patients. This meta-analysis was conducted as per the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). Two authors performed searches independently using electronic databases, including Embase, PubMed, and Web of Science, from January 1, 2015, to November 30, 2023. A total of 16 studies were included in this meta-analysis. All included studies reported POAF in patients undergoing CABG, resulting in 1462 cases of POAF among 6200 patients undergoing CABG. The cases of POAF varied among studies, ranging from 7.80% to 47.37%. The pooled incidence of POAF was 26% (95% CI: 20% to 31%). The results indicated that older patients had a higher risk of developing atrial fibrillation (AF) after CABG (mean difference [MD]): 5.63, 95% confidence interval (CI): 4.08 to 7.17, p-value < 0.001). The findings revealed a significantly lower left ventricular ejection fraction (LVEF) in patients developing AF than their counterparts (MD: -0.30, 95% CI: -0.58 to -0.03, p-value: 0.03). Regarding the history of myocardial infarction (MI), the odds of MI were significantly higher in patients developing AF compared to those who did not develop AF (odds ratio [OR]: 1.37, 95% CI: 1.12 to 1.68, p-value: 0.002). In relation to intra-aortic balloon pump (IABP), the odds of IABP were significantly higher in patients developing AF compared to those who did not develop AF (OR: 2.27, 95% CI: 1.39 to 3.72, p-value: 0.001). Identified risk factors for post-CABG AF included advanced age, a lower preoperative ejection fraction, a history of myocardial infarction, the requirement for an IABP, and prolonged cardiopulmonary bypass (CPB) time. The study underscores the significance of proactive screening and comprehensive management for elderly CABG patients, particularly those with myocardial infarction histories.
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Affiliation(s)
| | - Purvi Buch
- Medicine, Gujarat Medical Education and Research Society (GMERS) Medical College, Gotri, IND
| | - Fnu Pareesa
- Medicine, People's University of Medical and Health Sciences Nawabshah, Karachi, PAK
| | - Mahek Thorani
- Internal Medicine, People's University of Medical and Health Sciences Nawabshah, Karachi, PAK
| | - Hazem Nasser
- Medicine, John H. Stroger, Jr. Hospital of Cook County, Illinois, USA
| | | | - Calvin R Wei
- Research and Development, Shing Huei Group, Taipei, TWN
| | - Sujith K Palleti
- Nephrology, Louisiana State University Health Sciences Center, Shreveport, USA
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Zapata J, Akopian E, Yvanovich A. Strategies for rate and rhythm control of atrial fibrillation in the ED. JAAPA 2023; Published Ahead of Print:01720610-990000000-00067. [PMID: 37399473 DOI: 10.1097/01.jaa.0000944600.04370.48] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2023]
Abstract
ABSTRACT Atrial fibrillation (AF) is one of the most common dysrhythmias managed in the ED and accounts for more than half a million visits a year in the United States. More than 6 out of 10 of these visits result in admissions. As the prevalence of AF has continued to increase in recent years, so has the presentation of patients with AF to the ED. For these reasons, clinicians in emergency settings must be knowledgeable of evidence-based rate and rhythm control strategies for stabilizing patients and preventing complications. This article discusses options, indications, contraindications, and safe implementation of rate and rhythm control strategies for ED clinicians. Recent studies have suggested that early rhythm control may benefit newly diagnosed patients, reducing stroke risk, cardiovascular deaths, and disease progression.
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Affiliation(s)
- James Zapata
- James Zapata is a faculty member of the emergency medicine fellowship at Arrowhead Regional Medical Center in Colton, Calif., an assistant professor at California Baptist University in Riverside, Calif., an adjunct professor of emergency medicine at Western University of Health Sciences in Pomona, Calif., and an adjunct professor at the University of La Verne in La Verne, Calif. Erik Akopian practices emergency medicine at Antelope Valley Hospital in Lancaster, Calif., and Providence St. Joseph Medical Center in Burbank, Calif., and is on the clinical faculty of the emergency medicine residency program at Arrowhead Regional Medical Center. Anthony Yvanovich practices at Arrowhead Regional Medical Center. The authors have disclosed no potential conflicts of interest, financial or otherwise
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3
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Crijns HJGM, Van Gelder IC. Paradigm shifts in pathophysiology and management of atrial fibrillation-a tale of the RACE trials in the Netherlands. Neth Heart J 2020; 28:3-12. [PMID: 32780325 PMCID: PMC6940410 DOI: 10.1007/s12471-020-01476-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
In the past 20 years the Netherlands-based RACE trials have investigated important concepts in clinical atrial fibrillation (AF). Their scope ranged from rhythm versus rate control to early or delayed cardioversion and also included early comprehensive management of AF in two trials, one focusing on early 'upstream therapy' and risk factor management and the other on integrated chronic nurse-led care. Studies were mostly triggered by simple clinical observations including futility of electrical cardioversion in persistent AF; many patients with permanent AF tolerating day-after-day 'uncontrolled' resting heart rates of up till 110 beats/min; patients being threatened more by vascular risks than AF itself; and insufficient guideline-based treatments for AF. Also the observation that recent-onset atrial fibrillation generally converts spontaneously, obviating cardioversion, triggered one of the studies. The RACE trials shifted a number of paradigms and by that could change the AF guidelines. The initial 'shock-and-forget' attitude made place for increased attention for anticoagulation, and in turn, broader vascular risks were recognised. In a nutshell, the adage eventually became: 'look beyond the ECG, treat the patient'.
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Affiliation(s)
- H J G M Crijns
- Department of Cardiology and the Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, The Netherlands.
| | - I C Van Gelder
- Department of Cardiology, Thoraxcenter, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Russak AJ, Chaudhry F, De Freitas JK, Baron G, Chaudhry FF, Bienstock S, Paranjpe I, Vaid A, Ali M, Zhao S, Somani S, Richter F, Bawa T, Levy PD, Miotto R, Nadkarni GN, Johnson KW, Glicksberg BS. Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype. J Cardiovasc Pharmacol Ther 2020; 25:379-390. [PMID: 32495652 DOI: 10.1177/1074248420928651] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Despite substantial advances in the study, treatment, and prevention of cardiovascular disease, numerous challenges relating to optimally screening, diagnosing, and managing patients remain. Simultaneous improvements in computing power, data storage, and data analytics have led to the development of new techniques to address these challenges. One powerful tool to this end is machine learning (ML), which aims to algorithmically identify and represent structure within data. Machine learning's ability to efficiently analyze large and highly complex data sets make it a desirable investigative approach in modern biomedical research. Despite this potential and enormous public and private sector investment, few prospective studies have demonstrated improved clinical outcomes from this technology. This is particularly true in cardiology, despite its emphasis on objective, data-driven results. This threatens to stifle ML's growth and use in mainstream medicine. We outline the current state of ML in cardiology and outline methods through which impactful and sustainable ML research can occur. Following these steps can ensure ML reaches its potential as a transformative technology in medicine.
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Affiliation(s)
- Adam J Russak
- Department of Internal Medicine, Mount Sinai Hospital, New York, NY, USA.,Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Farhan Chaudhry
- Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, USA
| | - Jessica K De Freitas
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Garrett Baron
- Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, USA
| | - Fayzan F Chaudhry
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Solomon Bienstock
- Department of Internal Medicine, Mount Sinai Hospital, New York, NY, USA
| | - Ishan Paranjpe
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Akhil Vaid
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mohsin Ali
- Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shan Zhao
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sulaiman Somani
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Felix Richter
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tejeshwar Bawa
- Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, USA
| | - Phillip D Levy
- Department of Emergency Medicine and Integrative Biosciences Center, Wayne State University, Detroit, MI, USA
| | - Riccardo Miotto
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Girish N Nadkarni
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Division of Nephrology, Mount Sinai Hospital, New York, NY, USA.,Division of Cardiology, Mount Sinai Hospital, New York, NY, USA.,Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kipp W Johnson
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benjamin S Glicksberg
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Botto GL, Tortora G. Is delayed cardioversion the better approach in recent-onset atrial fibrillation? Yes. Intern Emerg Med 2020; 15:1-4. [PMID: 31834587 DOI: 10.1007/s11739-019-02225-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 10/23/2019] [Indexed: 01/09/2023]
Abstract
Atrial fibrillation is the most common sustained arrhythmia encountered in primary care practice and represents a significant burden on the health care system with a higher than expected hospitalization rate from the emergency department. The first goal of therapy is to assess the patient's symptoms and hemodynamic status. There are multiple acute management strategies for atrial fibrillation including heart rate control, immediate direct-current cardioversion, or pharmacologic cardioversion. Given the variety of approaches to acute atrial fibrillation, it is often difficult to consistently provide cost-effectiveness care. The likelihood of spontaneous conversion of acute atrial fibrillation to sinus rhythm is reported to be really high. Although active cardioversion of recent-onset atrial fibrillation is generally considered to be safe, the question arises of whether the strategy of immediate treatment for a condition that is likely to resolve spontaneously is acceptable for hemodynamically stable patients. Based on published data, non-managed acute treatment of atrial fibrillation appears to be cost-saving. The observation of a patient with recent-onset atrial fibrillation in a dedicated unit within the emergency department reduces the need for acute cardioversion in almost two-thirds of the patients, and reduces the median length of stay, without negatively affecting long-term outcome, thus reducing the related health care costs. However, to let these results broadly applicable, defined treatment algorithms and access to prompt follow-up are needed, which may not be practical in all settings.
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Affiliation(s)
- Giovanni Luca Botto
- Department of Electrophysiology and Clinical Arrhythmology, ASST Rhodense, Rho and Garbagnate M.se Hospitals, C.so Europa 250, Rho, 20017, Milan, Italy.
| | - Giovanni Tortora
- Department of Electrophysiology and Clinical Arrhythmology, ASST Rhodense, Rho and Garbagnate M.se Hospitals, C.so Europa 250, Rho, 20017, Milan, Italy
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