[Reoperation in patients with heart valve prostheses. Analysis of risk factors affecting perioperative mortality]. 1988

B Zingone, and B Benussi, and I Pinto, and A Cristaldi, and E Lusa, and A Pappalardo, and S Scardi, and B Branchini
Divisione di Cardiochirurgia, Ospedale Maggiore, Trieste.

Sixty-two patients with at least one prosthetic heart valve each underwent a total of 70 reoperations. Their cases were analysed with special regard to the risk of perioperative mortality and to the factors affecting that risk. The age of the patients studied was 47 +/- 14.6 years (mean +/- 1 SD), and 4.75 +/- 4 years had elapsed since their previous operation. A total of 85 prostheses were implanted at the time of initial surgery. Forty-nine of those were mitral, 28 were aortic, and 8 were tricuspid prostheses. There were 48 mechanical valves, 24 bioprostheses and 13 Carpentier rings (9 of the latter being mitral and 4 tricuspid). At reoperation (n = 70) 95 valves required treatment. Eighteen patients died following their first reoperation (18/62, 29%), and two more died after a second reoperation (2/8, 25%). Actuarial probability of hospital survivors being alive 8-9 years following reoperation was 47 +/- 15%. It was found by multiple regression analysis that the duration of cardiopulmonary bypass (p less than 0.01), surgical priority (p less than 0.05) and the patient's age (p less than 0.05) were the only independent predictors of hospital death. A review of the literature and our own results suggest that surgical problems encountered with reoperation have unfavourably affected surgical results in the past. Objective risk factors are currently more related to the operative outcome. For these to be neutralised, patients with dysfunctioning prosthetic heart valves should be operated at an early stage before they reach a critical one. Only patients with stable, mild dysfunction unlikely to worsen acutely may probably be followed-up safely.

UI MeSH Term Description Entries
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D008943 Mitral Valve The valve between the left atrium and left ventricle of the heart. Bicuspid Valve,Bicuspid Valves,Mitral Valves,Valve, Bicuspid,Valve, Mitral,Valves, Bicuspid,Valves, Mitral
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D012086 Reoperation A repeat operation for the same condition in the same patient due to disease progression or recurrence, or as followup to failed previous surgery. Revision, Joint,Revision, Surgical,Surgery, Repeat,Surgical Revision,Repeat Surgery,Revision Surgery,Joint Revision,Revision Surgeries,Surgery, Revision
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D004630 Emergencies Situations or conditions requiring immediate intervention to avoid serious adverse results. Emergency
D006350 Heart Valve Prosthesis A device that substitutes for a heart valve. It may be composed of biological material (BIOPROSTHESIS) and/or synthetic material. Prosthesis, Heart Valve,Cardiac Valve Prosthesis,Cardiac Valve Prostheses,Heart Valve Prostheses,Prostheses, Cardiac Valve,Prostheses, Heart Valve,Prosthesis, Cardiac Valve,Valve Prostheses, Cardiac,Valve Prostheses, Heart,Valve Prosthesis, Cardiac,Valve Prosthesis, Heart
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000206 Actuarial Analysis The application of probability and statistical methods to calculate the risk of occurrence of any event, such as onset of illness, recurrent disease, hospitalization, disability, or death. It may include calculation of the anticipated money costs of such events and of the premiums necessary to provide for payment of such costs. Analysis, Actuarial,Actuarial Analyses,Analyses, Actuarial
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths

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