title: [The possibility to predict results of aortic valve prosthetics from initial anatomic and functional properties].
abstract: The study included 394 patients selected for aortic valve prosthetics. Group 1 comprised patients with prevailing aortic stenosis (n = 165 or 41.9%), group 2 patients with prevailing aortic insufficiency (n = 229 or 58.1%). Their preoperative characteristics were arbitrary categorized as follows: circulatory disturbances (F1), anthropometric parameters (F2), central hemodynamic parameters (F3), anatomofuntional parameters (F4), left ventricular myocardium parameters (F5), valvular morphology (F6), valvular parameters (F7). Correlation analysis was used to predict surgery outcome. Excel 2000-based software was created to assess the probability of favourable outcome.
authors.forename: F F
authors.initials: FF
authors.lastname: Turaev
authors.forename: S I
authors.initials: SI
authors.lastname: Zheleznev
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001021:Aortic Valve / Q000002:abnormalities / Q000473:pathology* / Q000503:physiopathology* / Q000601:surgery; D001022:Aortic Valve Insufficiency / Q000473:pathology / Q000503:physiopathology / Q000601:surgery*; D001024:Aortic Valve Stenosis / Q000473:pathology / Q000503:physiopathology / Q000601:surgery*; D002648:Child; D003326:Coronary Circulation; D005260:Female; D019918:Heart Valve Prosthesis Implantation / Q000379:methods*; D006439:Hemodynamics; D006801:Humans; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D012984:Software; D055815:Young Adult