Comparative Analysis of Cardiac Arrhythmias by Automatic Cardioregistration in Patients After Surgical Treatment of Atrial Fibrillation, Correction of Valvular Pathology and Sympathetic Denervation of the Pulmonary Arteries

Autor: A.V. Nikolsky, N.A. Trofimov, A.L. Rodionov, D.S. Ivanov
Rok vydání: 2023
Předmět:
DOI: 10.24412/2500-2295-2023-2-65-72
Popis: Objectives: to analyze early postoperative arrhythmias in patients after surgical treatment of atrial fibrillation, correction of valvular pathology and sympathetic denervation of the pulmonary arteries in order to correct high pulmonary hypertension. Materials and methods: the study included patients with diagnosed mitral valve disease complicated by atrial fibrillation and high-grade pulmonary hypertension (40 mm Hg or more). All studied patients underwent mitral valve replacement, Maze IV biatrial surgery. In contrast to the patients in the study group, pulmonary artery denervation was not performed in the control group. On the first day after transfer to the ward from the intensive care unit, patients were fitted with a wearable cardiorecorder, which provides continuous ECG recording of one lead with automatically machine analysis with the formation of a pre-medical conclusion. Results: In all studies, a mechanism was implemented for remote ECG transmission of data in the «real time» mode for evaluation by a cardiologist. The study group demonstrated the best recovery and preservation of sinus rhythm in the early postoperative period. 92% of the patient had sinus rhythm, while in the control group this indicator was – 81% (p = 0.05). Radiofrequency denervation of the pulmonary arteries is a safe and effective method for correcting high pulmonary hypertension and helps to maintain sinus rhythm after the concomitant Maze IV procedure (p = 0.05). The use of automatic cardiac screening has demonstrated the feasibility of detecting early arrhythmias in automatic mode with the possibility of timely personalized correction of antiarrhythmic therapy and treatment tactics in general.
Databáze: OpenAIRE