High-Sensitivity C-Reactive Protein is a Predictor of Subsequent Atrial High-Rate Episodes in Patients with Pacemakers and Preserved Ejection Fraction.
Min-Tsun LiaoChun-Kai ChenTing-Tse LinLi-Ying ChengHung-Wen TingYen-Bin LiuPublished in: Journal of clinical medicine (2020)
Atrial fibrillation (AF) is associated with morbidity and mortality. Modern pacemakers can detect atrial high-rate episodes (AHREs) as a surrogate for AF. It remains controversial whether inflammation is a cause or a consequence of AF. This study investigated whether the inflammatory biomarker high-sensitivity C-reactive protein (hs-CRP) can predict subsequent AHREs. This study gathered prospective data from patients with pacemakers and a left ventricle EF ≥ 50% between 2015 and 2019. The hs-CRP and other cardiac biomarkers at baseline and device-detected AHREs, defined as atrial rate ≥ 180 bpm and duration ≥ 6 min, were determined. Cox regression analysis was used to estimate the independent predictors for AHREs. A total of 171 consecutive patients were included. During the median follow-up of 614 days, 66 patients (39%) developed subsequent AHREs. In the univariate Cox regression analysis, sick sinus syndrome (p = 0.005), prior AF (p < 0.001), mitral A velocity (p = 0.008), and hs-CRP (p = 0.013) showed significant association with the increased risk of AHREs. In the multivariate Cox regression model, hs-CRP (HR = 1.121, 95% confidence interval = 1.015-1.238, p = 0.024) retained its significance. Our results suggest that elevated hs-CRP could predict subsequent AHREs and that inflammation could play a role in AF pathogenesis in patients with preserved EF.
Keyphrases
- atrial fibrillation
- ejection fraction
- left atrial
- aortic stenosis
- catheter ablation
- end stage renal disease
- oral anticoagulants
- chronic kidney disease
- left atrial appendage
- oxidative stress
- newly diagnosed
- direct oral anticoagulants
- mitral valve
- heart failure
- prognostic factors
- left ventricular
- coronary artery disease
- pulmonary hypertension
- percutaneous coronary intervention
- pulmonary artery
- coronary artery
- venous thromboembolism
- case report
- machine learning
- data analysis
- transcatheter aortic valve replacement
- electronic health record
- patient reported outcomes
- congenital heart disease