000 03983nla2a2200517 4500
001 651559
005 20231030041039.0
035 _a(RuTPU)RU\TPU\network\16808
035 _aRU\TPU\network\16807
090 _a651559
100 _a20161116a2016 k y0engy50 ba
101 0 _aeng
105 _ay z 100zy
135 _adrcn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aDigital Technologies in Providing Development of Algorithms Surgical Treatment of Supraventricular Arrhythmias
_fV. Evtushenko [et al.]
203 _aText
_celectronic
300 _aTitle screen
320 _a[References: 25 tit.]
330 _aThe 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
461 0 _0(RuTPU)RU\TPU\network\4526
_tMATEC Web of Conferences
463 0 _0(RuTPU)RU\TPU\network\16675
_tVol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016)
_oVII Scientific Conference with International Participation, May 25-28, 2016, Tomsk, Russia
_o[proceedings]
_fNational Research Tomsk Polytechnic University (TPU) ; eds. A. V. Yurchenko ; V. I. Syryamkin
_v[01063, 9 p.]
_d2016
610 1 _aэлектронный ресурс
610 1 _aтруды учёных ТПУ
610 1 _aцифровые технологии
610 1 _aалгоритмы
610 1 _aхирургия
610 1 _aаритмия
610 1 _aболезни
610 1 _aсердце
610 1 _aишемическая болезнь
701 1 _aEvtushenko
_bV.
_gVladimir
701 1 _aSmyshlyaev
_bK.
_gKonstantin
701 1 _aBykov
_bA.
_gAlexander
701 1 _aKistenev
_bYu.
_gYury
701 1 _aPavlyukova
_bE.
_gElena
701 1 _aKatkov
_bV.
_gVadim
701 1 _aKurlov
_bI.
_gIgor
701 1 _aAnfinogenova
_bYa. J.
_cLinguist
_cLecturer of Tomsk Polytechnic University, Doctor of medical sciences
_f1970-
_gYana Jonovna
_2stltpush
_3(RuTPU)RU\TPU\pers\33592
701 1 _aEvtushenko
_bA.
_gAlexey
712 0 2 _aНациональный исследовательский Томский политехнический университет (ТПУ)
_bУправление проректора по научной работе и инновациям (НРиИ)
_bЦентр RASA в Томске (Центр RASA)
_bЛаборатория изучения механизмов нейропротекции (Лаб. ИМН)
_h7608
_2stltpush
_3(RuTPU)RU\TPU\col\21815
801 2 _aRU
_b63413507
_c20170908
_gRCR
856 4 _uhttp://dx.doi.org/10.1051/matecconf/20167901063
856 4 _uhttp://earchive.tpu.ru/handle/11683/35270
942 _cCF