Atrial fibrillation (AF) is a prevalent cardiac arrhythmia, affecting millions worldwide and increasing in frequency with age. Despite progress in treatment and prevention, AF remains a significant contributor to stroke, heart failure, and overall cardiovascular morbidity. One particularly challenging type of AF, paroxysmal atrial fibrillation (PAF), is often asymptomatic, leading to delayed diagnosis and increasing the risk of severe complications like stroke. The advent of cardiac implantable electronic devices (CIEDs) has significantly improved the ability to detect subclinical AF or atrial high-rate episodes (AHRE), even in patients with no symptoms. These devices, particularly pacemakers, offer long-term, continuous monitoring of atrial rhythms, making them an invaluable tool for diagnosing AF early and assessing its burden in real time.
This study focused on a cohort of patients from the Oltenia region who received dual-chamber pacemakers with no prior diagnosis of AF. The research aimed to monitor the incidence of AF in these patients over a follow-up period of 12 to 18 months and to identify potential clinical predictors for developing AF. A total of 91 patients were assessed in this study, all of whom received dual-chamber pacemakers by the pacing guidelines for conditions such as atrioventricular block and sick sinus syndrome. None of the patients had a history of AF at the time of implantation.
Follow-up results indicated an incidence of AHRE in 13.19% of patients, with significant predictors including advanced age and the presence of hypertension. These findings align with the broader literature, which consistently associates both factors with an increased risk of AF. The study underscores the importance of continuous monitoring in pacemaker patients, particularly for detecting asymptomatic AF, which may necessitate specific therapeutic interventions. Although the study’s sample size was limited, its findings contribute valuable insights into managing AF in pacemaker patients, particularly regarding early detection and potential risk factors. Future research with larger cohorts is necessary to confirm and expand these results.