Objective: Although both atrial fibrillation (AF) and gastroesophageal reflux disease (GERD) are common diseases, the relationship between these two conditions remains controversial, depending on the study design and type of AF. Therefore, we focused on the relationship between nonvalvular AF and GERD.
Methods: A total of 479 consecutive subjects (255 men and 224 women, mean age: 60.4 ± 12.8 years), including outpatients at several hospitals (n=201) and participants of an annual health screening program (n=278), were enrolled. Subjects with valvular AF, malignancy or dementia were excluded. The frequency scale for symptoms of GERD (F-scale) was applied after obtaining each patient's informed consent for screening symptomatic GERD with a total cutoff score of 8 points. The score on the questionnaire was correlated with the baseline characteristics extracted from the patients' medical records.
Results: The total F-scale scores were significantly higher in the older patients (≥ 60 years) than in the younger patients (<60 years) (p=0.017) and increased in the following order: permanent AF > paroxysmal AF > sinus rhythm (p=0.003). The incidence of GERD increased in the same order among the patients with the various heart rhythm classifications (p<0.001). Coronary heart disease, hypertension, diabetes and dyslipidemia were not correlated with the F-scale scores or incidence of GERD. The stepwise discriminant analyses demonstrated that nonvalvular AF alone was significantly associated with symptomatic GERD (Wilks' lambda=0.983, p=0.004).
Conclusion: This multicenter study demonstrated that nonvalvular AF is significantly correlated with symptomatic GERD. This small sample survey warrants a future study of a large-scale cohort.
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http://dx.doi.org/10.2169/internalmedicine.52.0923 | DOI Listing |
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.
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.
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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