2025/12/06 by G. Ruffino, Ruffino, Giuseppe, Giorgio Bergesio +5
Medicine · #Atrial Fibrillation Management and Outcomes #Cardiac Arrhythmias and Treatments #Cardiovascular Syncope and Autonomic Disorders #PSVT #Paroxysmal Supraventricular Tachycardia #mental health. #quality of life
paper · doi:10.13135/2532-7925/13003
openalex publication_date 2025/12/06 · openalex created_date 2025/12/30 · openalex updated_date 2026/07/28
INTRODUCTION Paroxysmal Supraventricular Tachycardia (PSVT) is a common arrhythmia that can occur at any age. On the electrocardiogram, it presents as a narrow QRS complex with a heart rate greater than 120 beats per minute. Signs and symptoms include palpitations, dizziness, chest pain, and other symptoms. The purpose of the study is to evaluate the Quality of Life (QoL) in people with PSVT. MATERIALS AND METHODS An observational study was conducted between February and July 2024 on a sample of 202 patients with TPSV. The UMEA22 (U22) and Medical Outcomes Study 36-Item Short Form Healthy Survey 36 (SF-36) scales were used. Statistical analyses were conducted with Jamovi®. Correlations between variables were examined using Pearson's r, and Welch's ANOVA with a Games-Howell post-hoc test was used to evaluate comparisons between groups, with a significance level of alpha = 0.05. RESULTS On the U22 scale, patients reported an average score of 7.95 for general health and 8.65 for the impact of symptoms on psychological and physical well-being. The SF-36 scale had average scores of 85.0 for physical health and 73.3 for mental health. Significant differences emerged between males and females. Physical activity is associated with better mental and physical health. Ablation was significantly associated with improved physical and mental health. CONCLUSION The study provides important insights into how sociodemographic and behavioral variables influence patients' quality of life. Significant differences were found related to gender, age, and occupation. Personalized interventions that take into account differences in gender, age, socioeconomic status, and physical activity levels could significantly improve patient well-being.