Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular Arrhythmias

The aim of the study was the development and clinical application of patient selection algorithm for surgical treatment of longlasting persistent atrial fibrillation. The study included 235 patients with acquired heart disease and coronary artery disease, which in the period from 1999 to 2015 perfor...

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Main Authors: Evtushenko Vladimir, Smyshlyaev Konstantin, Bykov Alexander, Kistenev Yury, Pavlyukova Elena, Katkov Vadim, Kurlov Igor, Anfinogenova Yana, Evtushenko Alexey
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20167901063
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spelling doaj-4c123b43d8a74ff3bf4ec5a46024ab5d2021-02-02T00:37:35ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01790106310.1051/matecconf/20167901063matecconf_imet2016_01063Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular ArrhythmiasEvtushenko VladimirSmyshlyaev Konstantin0Bykov Alexander1Kistenev Yury2Pavlyukova Elena3Katkov Vadim4Kurlov Igor5Anfinogenova YanaEvtushenko AlexeyFederal State Budgetary Scientific Institution “Research Institute for Cardiology”National Research Tomsk State UniversityNational Research Tomsk State UniversityFederal State Budgetary Scientific Institution “Research Institute for Cardiology”Federal State Budgetary Scientific Institution “Research Institute for Cardiology”Federal State Budgetary Scientific Institution “Research Institute for Cardiology”The aim of the study was the development and clinical application of patient selection algorithm for surgical treatment of longlasting persistent atrial fibrillation. The study included 235 patients with acquired heart disease and coronary artery disease, which in the period from 1999 to 2015 performed surgical treatment of long-term persistent atrial fibrillation (RF “MAZE III” procedure) in conjunction with the correction of the underlying heart disease. The patients were divided into 2 groups according to the method of operation: the group 1 – 135 patients (76 women and 59 men) who have applied an integrated approach to surgery for atrial fibrillation, including penetrating method of RF effects on atrial myocardium and the study of the function of the sinus node before and after the operation (these patients were operated on from 2008 to 2015). The group 2 – 100 patients (62 women and 38 men) with a “classical” method of monopolar RF “MAZE III”, which the sinus node function was not studied. We used the combined (epi- and endocardial) method of RF «MAZE». This algorithm is decreasing of possible permanent pacemaker postoperatively. The initial sinus node function in these patients, measured using the original method, the basic line of this algorithm was taken. The results showed that use this algorithm for selection of patients allows significantly reduce the possibility of pacemaker implantation in the postoperative period.http://dx.doi.org/10.1051/matecconf/20167901063
collection DOAJ
language English
format Article
sources DOAJ
author Evtushenko Vladimir
Smyshlyaev Konstantin
Bykov Alexander
Kistenev Yury
Pavlyukova Elena
Katkov Vadim
Kurlov Igor
Anfinogenova Yana
Evtushenko Alexey
spellingShingle Evtushenko Vladimir
Smyshlyaev Konstantin
Bykov Alexander
Kistenev Yury
Pavlyukova Elena
Katkov Vadim
Kurlov Igor
Anfinogenova Yana
Evtushenko Alexey
Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular Arrhythmias
MATEC Web of Conferences
author_facet Evtushenko Vladimir
Smyshlyaev Konstantin
Bykov Alexander
Kistenev Yury
Pavlyukova Elena
Katkov Vadim
Kurlov Igor
Anfinogenova Yana
Evtushenko Alexey
author_sort Evtushenko Vladimir
title Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular Arrhythmias
title_short Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular Arrhythmias
title_full Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular Arrhythmias
title_fullStr Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular Arrhythmias
title_full_unstemmed Digital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular Arrhythmias
title_sort digital technologies in providing development of algorithms surgical treatment of supraventricular arrhythmias
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description The aim of the study was the development and clinical application of patient selection algorithm for surgical treatment of longlasting persistent atrial fibrillation. The study included 235 patients with acquired heart disease and coronary artery disease, which in the period from 1999 to 2015 performed surgical treatment of long-term persistent atrial fibrillation (RF “MAZE III” procedure) in conjunction with the correction of the underlying heart disease. The patients were divided into 2 groups according to the method of operation: the group 1 – 135 patients (76 women and 59 men) who have applied an integrated approach to surgery for atrial fibrillation, including penetrating method of RF effects on atrial myocardium and the study of the function of the sinus node before and after the operation (these patients were operated on from 2008 to 2015). The group 2 – 100 patients (62 women and 38 men) with a “classical” method of monopolar RF “MAZE III”, which the sinus node function was not studied. We used the combined (epi- and endocardial) method of RF «MAZE». This algorithm is decreasing of possible permanent pacemaker postoperatively. The initial sinus node function in these patients, measured using the original method, the basic line of this algorithm was taken. The results showed that use this algorithm for selection of patients allows significantly reduce the possibility of pacemaker implantation in the postoperative period.
url http://dx.doi.org/10.1051/matecconf/20167901063
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