Objective

To work out a prognostic model of 5-year survival in patients with severe aortic stenosis, complicated with atrioventricular valves insufficiency.

Methods

A prospective non-randomized study was conducted considering all patients admitted to the Clinic for cardiac surgical treatment during 2005-2007. In the Study 365 patients with severe aortic stenosis (indexed aortic valve (AV) area <0,6 cm ² ), and secondary mitral and tricuspidal regurgitation were included. Exclusion criteria for the patients were infective endocarditis, cancer in an active stage, mitral stenosis. Finally 198 selected patients were divided into 2 groups: 152 patients underwent aortic valve replacement adding repair of atrioventricular valves; 46 patients were not operated because of different reasons. Preoperative examination was managed with a standard protocol. Folow-up period was 5 years. Data processing was performed using IBM SPSS, SAS statistical packages. The predicative value of clinical and echo parameters in the prognosing of survival was estimated in uni- and multivariate regression analises.Cox’s proportional hazard analysis was used to get a prognostic regression model.

Methods

A prospective non-randomized study was conducted considering all patients admitted to the Clinic for cardiac surgical treatment during 2005-2007. In the Study 365 patients with severe aortic stenosis (indexed aortic valve (AV) area <0,6 cm ² ), and secondary mitral and tricuspidal regurgitation were included. Exclusion criteria for the patients were infective endocarditis, cancer in an active stage, mitral stenosis. Finally 198 selected patients were divided into 2 groups: 152 patients underwent aortic valve replacement adding repair of atrioventricular valves; 46 patients were not operated because of different reasons. Preoperative examination was managed with a standard protocol. Folow-up period was 5 years. Data processing was performed using IBM SPSS, SAS statistical packages. The predicative value of clinical and echo parameters in the prognosing of survival was estimated in uni- and multivariate regression analises.Cox’s proportional hazard analysis was used to get a prognostic regression model.

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