Exploring the Link Between Interoception and Symptom Severity in Premature Ventricular Contractions

• Published in: Journal of clinical medicine 2024-01, Vol.13 (24), p.7756
• Main Authors: Limonova, Alena S, Minenko, Irina A, Sukmanova, Anastasia A, Kutsenko, Vladimir A, Kulikova, Sofya P, Nazarova, Maria A, Davtyan, Karapet V, Drapkina, Oxana M, Ershova, Alexandra I
• Format: Article
• Language: English
• Subjects: Alexithymia; Anxiety; Asymptomatic; Blood pressure; Cardiac arrhythmia; Chronic illnesses; Heart; Mental depression; Mental disorders; Quality of life; Questionnaires; Stress; Systematic review
• ISSN: 2077-0383
• DOI: 10.3390/jcm13247756

Background/Objectives: The physiological basis underlying symptomatic versus asymptomatic premature ventricular contractions (PVCs) remains poorly understood. However, symptomatic PVCs can significantly impair quality of life. In patients without structural heart disease, symptom intensity is crucial for guiding management strategies and determining the need for medical or surgical intervention. In this study, we aimed, for the first time, to examine the associations between PVC symptoms and cardiac interoception. Methods: This study included 34 participants with PVCs (20 women; median age = 42 years; 17 participants had asymptomatic PVCs) without concomitant disorders. Interoception was assessed through interoceptive accuracy (IA) probed by two behavioral tests—mental tracking (MT) and heartbeat detection (HBD)—and the neurophysiological marker of cardiac interoception, the heartbeat-evoked potentials (HEPs). Symptom intensity scores reported by patients served as the response variable in the regression analysis, with IA and HEP as predictors. Other factors such as sex, age, percent of body fat, trait anxiety, and alexithymia were added to the models as confounding variables. Results: IAMT was significantly higher in patients with symptomatic PVCs. IAMT and HEP modulation for the HBD task were associated with symptom intensity. A combined regression model incorporating both metrics showed the highest predictive accuracy for symptom severity. Adding confounding variables improved model quality (lower AIC); however, only the male sex emerged as a significant negative predictor for symptom intensity. Conclusions: Our findings confirm a significant association between interoception and PVC symptom severity. Integrating behavioral and neurophysiological interoception measures enhances symptom prediction accuracy, suggesting new ways to develop diagnostic and non-invasive treatment strategies targeting interoception in PVC management.