Vernakalant is an emergent antiarrhythmic drug that, in preclinical studies, has demonstrated high efficacy in restoring sinus rhythm and safety in patients with rapid recent-onset atrial fibrillation. The aim of this work was to evaluate the efficacy and safety of vernakalant for cardioversion of recent-onset atrial fibrillation. PubMed, EMBASE, Clinical Trials Registry, and European Medicines Agency public reports were searched for randomized clinical trials, until May 2011, of vernakalant compared with controls (placebo/other antiarrhythmic drug) in enrolled patients with high ventricular rate atrial fibrillation. Five randomized trials that met inclusion criteria enrolled a total of 1099 patients. Among these, 810 had recent-onset atrial fibrillation. When compared with controls (placebo/other oral antiarrhythmic drugs), vernakalant was associated with a significant increase in cardioversion within 90 minutes from drug infusion (relative risk, 8.4; 95% confidence interval, 4.4-16.3; P < .00001). Compared with controls, vernakalant was not associated with a significant difference in serious adverse events (relative risk, 0.9; 95% confidence interval, 0.6-1.4; P = .64). The authors conclude that compared with controls, vernakalant is effective and safe for rapidly converting recent-onset atrial fibrillation. Questions remain surrounding safety because 1 unpublished trial was discontinued for this reason. Further cost-effective analysis and comparison with other antiarrhythmic agents, such as class I antiarrhythmic agents, should be investigated, especially in the emergency department.
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http://dx.doi.org/10.1177/0091270011426876 | DOI Listing |
Acta Neurochir (Wien)
January 2025
Department of Neurosurgery, Helsinki University Hospital and University of Helsinki, Haartmaninkatu 4, Po Box 320, 00029 HUS, Helsinki, Finland.
Purpose: A substantial proportion of patients undergoing surgery for chronic subdural hematoma (CSDH) use anticoagulation medication due to atrial fibrillation (AF). We assessed the risk of postoperative thromboembolic and hemorrhagic complications in CSDH surgery patients with a history of anticoagulation for AF and their association with outcome.
Methods: This posthoc analysis of a nationwide multicenter randomized controlled trial conducted during 2020-2022 included CSDH patients undergoing surgery with a history of preoperative anticoagulation use for AF.
Routine use of genetic data in healthcare is much-discussed, yet little is known about its performance in epidemiological models including traditional risk factors. Using severe COVID-19 as an exemplar, we explore the integration of polygenic risk scores (PRS) into disease models alongside sociodemographic and clinical variables. PRS were optimized for 23 clinical variables and related traits previously-associated with severe COVID-19 in up to 450,449 UK Biobank participants, and tested in 9,560 individuals diagnosed in the pre-vaccination era.
View Article and Find Full Text PDFHeart Rhythm
January 2025
Cardiology Department, Tulane University School of Medicine, New Orleans, Louisiana, United States. Electronic address:
Background: Causal machine learning (ML) provides an efficient way of identifying heterogeneous treatment effect groups from hundreds of possible combinations, especially for randomized trial data.
Objective: The aim of this paper is to illustrate the potential of applying causal ML on the DECAAF II trial data. We proposed a causal ML model to predict the treatment response heterogeneity.
BMC Cardiovasc Disord
January 2025
ITACA Institute, Universitat Politècnica de València, València, Spain.
Background: Complexity and signal recurrence metrics obtained from body surface potential mapping (BSPM) allow quantifying atrial fibrillation (AF) substrate complexity. This study aims to correlate electrocardiographic imaging (ECGI) detected reentrant patterns with BSPM-calculated signal complexity and recurrence metrics.
Methods: BSPM signals were recorded from 28 AF patients (17 male, 11 women, 62.
Eur J Prev Cardiol
January 2025
Department of Invasive Cardiology, Medical University of Bialystok, Bialystok, Poland.
Aim: Air pollution remains the single largest environmental health risk factor, while atrial fibrillation (AF) is the most prevalent arrhythmia globally. The study aimed to investigate the relationship between short-term exposure to air pollution and acute AF admissions.
Methods: Individual data on AF hospitalization in the years 2011-2020 were collected from the National Health Fund in Poland (ICD-10: I48.
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