Diagnostic Efficiency of Ambulatory Electrocardiography in Atrial Fibrillation with Long RR Intervals

The current research was conducted to evaluate the diagnostic efficiency of ambulatory electrocardiography in atrial fibrillation with long RR intervals. A total of 80 patients with atrial fibrillation with long RR intervals shown by ambulatory electrocardiography who were hospitalized in our institution between January 2020 and December 2022 were recruited. The baseline patient profiles were recorded and the causative factors related to long RR intervals were analyzed. The patients were stratified into a study group (long RR intervals during sleep) and a control group (long RR intervals during non-sleep periods). The mean heart rate, number of prolonged RR episodes and prolonged RR intervals of patients were analyzed. Premature ventricular beats, ventricular escape, and crossover escape were risk factors for atrial fibrillation with long RR intervals (p<0.05). Significantly more patients showed long RR intervals during sleep than during non-sleep periods (p<0.05). Patients with long RR intervals during sleep had a higher heart rate and, fewer and shorter long RR intervals vs. those with long RR intervals during non-sleep periods (p<0.05). Ambulatory electrocardiography in the diagnosis of atrial fibrillation with long RR intervals provides rapid detection of the relevant causative factors and frequency of disease occurrence, thereby allowing accurate assessment of the patient's condition and the implementation of appropriate therapeutic measures to effectively improve treatment outcomes.

Automated summary

This study aimed to evaluate the diagnostic efficiency of ambulatory electrocardiography in atrial fibrillation with long RR intervals. It was found that patients with long RR intervals during sleep had more episodes and shorter intervals compared to those during non-sleep periods. Ambulatory electrocardiography enables rapid detection of causative factors and disease occurrence frequency, allowing accurate assessment of the patient's condition and implementation of appropriate therapeutic measures to effectively improve treatment outcomes.