Analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillation
Aim. To identify and analyze predictors of the development of sick sinus syndrome in patients with atrial fibrillation. Material and methods. We include 847 patients with paroxysmal (121) and permanent (726) form of atrial fibrillation in our research. Patients underwent the Cox-Maze IV procedure...
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| Format: | Article |
| Language: | English |
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Concilium Medicum
2021-02-01
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| Series: | КардиоСоматика |
| Subjects: | |
| Online Access: | https://cardiosomatics.orscience.ru/2221-7185/article/viewFile/60806/43923 |
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| author | Vadim A. Karnakhin Vladlen V. Bazylev Andrey B. Voevodin Yaroslav S. Slastin |
| author_facet | Vadim A. Karnakhin Vladlen V. Bazylev Andrey B. Voevodin Yaroslav S. Slastin |
| author_sort | Vadim A. Karnakhin |
| collection | DOAJ |
| description | Aim. To identify and analyze predictors of the development of sick sinus syndrome in patients with atrial fibrillation.
Material and methods. We include 847 patients with paroxysmal (121) and permanent (726) form of atrial fibrillation in our research. Patients underwent the Cox-Maze IV procedure with correction of valvular and/or coronary pathology in the conditions of artificial blood circulation. The volume of surgical intervention, clinical, laboratory and echocardiographic parameters were considered as independent predictors.
Results. Permanent pacemaker implantation at the hospital stage required 37 (4.3%) from all 847 patients. None of these patients had indications for permanent pacemaker implantation before the intervention. Indications for pacemaker implantation: sick sinus syndrome in 30 (3.5%), bradiarrhythmia in 6 (0.7%); Fredericks syndrome in 1 (0.11%) patient. Sinus node weakness syndrome is the most common reason for installing permanent pacemaker. Analysis of neural networks showed that body mass index, time of cardiopulmonary bypass, time of mechanical ventilation, and the age of the patient are independent predictors of the development of this condition.
Conclusion. Obesity, time of cardiopulmonary bypass, time of mechanical ventilation, and age of the patient are the independent and most significant predictors of the development of sick sinus syndrome. |
| first_indexed | 2024-12-19T05:23:19Z |
| format | Article |
| id | doaj.art-91c8f4a2309e4dac90bffd1f414bff84 |
| institution | Directory Open Access Journal |
| issn | 2221-7185 2658-5707 |
| language | English |
| last_indexed | 2024-12-19T05:23:19Z |
| publishDate | 2021-02-01 |
| publisher | Concilium Medicum |
| record_format | Article |
| series | КардиоСоматика |
| spelling | doaj.art-91c8f4a2309e4dac90bffd1f414bff842022-12-21T20:34:26ZengConcilium MedicumКардиоСоматика2221-71852658-57072021-02-01114202410.26442/22217185.2020.4.20057155677Analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillationVadim A. Karnakhin0https://orcid.org/0000-0001-6089-9722Vladlen V. Bazylev1https://orcid.org/0000-0002-7078-1274Andrey B. Voevodin2https://orcid.org/0000-0002-7078-1274Yaroslav S. Slastin3https://orcid.org/0000-0002-4962-7651Federal Center of Cardiovascular SurgeryFederal Center of Cardiovascular SurgeryFederal Center of Cardiovascular SurgeryFederal Center of Cardiovascular SurgeryAim. To identify and analyze predictors of the development of sick sinus syndrome in patients with atrial fibrillation. Material and methods. We include 847 patients with paroxysmal (121) and permanent (726) form of atrial fibrillation in our research. Patients underwent the Cox-Maze IV procedure with correction of valvular and/or coronary pathology in the conditions of artificial blood circulation. The volume of surgical intervention, clinical, laboratory and echocardiographic parameters were considered as independent predictors. Results. Permanent pacemaker implantation at the hospital stage required 37 (4.3%) from all 847 patients. None of these patients had indications for permanent pacemaker implantation before the intervention. Indications for pacemaker implantation: sick sinus syndrome in 30 (3.5%), bradiarrhythmia in 6 (0.7%); Fredericks syndrome in 1 (0.11%) patient. Sinus node weakness syndrome is the most common reason for installing permanent pacemaker. Analysis of neural networks showed that body mass index, time of cardiopulmonary bypass, time of mechanical ventilation, and the age of the patient are independent predictors of the development of this condition. Conclusion. Obesity, time of cardiopulmonary bypass, time of mechanical ventilation, and age of the patient are the independent and most significant predictors of the development of sick sinus syndrome.https://cardiosomatics.orscience.ru/2221-7185/article/viewFile/60806/43923atrial fibrillationsick sinus syndromepacemakercox-maze iv surgery |
| spellingShingle | Vadim A. Karnakhin Vladlen V. Bazylev Andrey B. Voevodin Yaroslav S. Slastin Analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillation КардиоСоматика atrial fibrillation sick sinus syndrome pacemaker cox-maze iv surgery |
| title | Analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillation |
| title_full | Analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillation |
| title_fullStr | Analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillation |
| title_full_unstemmed | Analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillation |
| title_short | Analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillation |
| title_sort | analysis of predictors of sick sinus syndrome after open surgical treatment of atrial fibrillation |
| topic | atrial fibrillation sick sinus syndrome pacemaker cox-maze iv surgery |
| url | https://cardiosomatics.orscience.ru/2221-7185/article/viewFile/60806/43923 |
| work_keys_str_mv | AT vadimakarnakhin analysisofpredictorsofsicksinussyndromeafteropensurgicaltreatmentofatrialfibrillation AT vladlenvbazylev analysisofpredictorsofsicksinussyndromeafteropensurgicaltreatmentofatrialfibrillation AT andreybvoevodin analysisofpredictorsofsicksinussyndromeafteropensurgicaltreatmentofatrialfibrillation AT yaroslavsslastin analysisofpredictorsofsicksinussyndromeafteropensurgicaltreatmentofatrialfibrillation |