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Circulation ; 113(4): 570-6, 2006 Jan 31.
Article in English | MEDLINE | ID: mdl-16401767

ABSTRACT

BACKGROUND: Prosthesis-patient mismatch (PPM) occurs when the effective orifice area (EOA) of the prosthesis being implanted is too small in relation to body size, thus causing abnormally high transvalvular pressure gradients. The objective of this study was to examine the midterm impact of PPM on overall mortality and cardiac events after aortic valve replacement in patients with pure aortic stenosis. METHODS AND RESULTS: The indexed EOA (EOAi) was estimated for each type and size of prosthesis being implanted in 315 consecutive patients with pure aortic stenosis. PPM was defined as an EOAi < or =0.80 cm2/m2 and was correlated with overall mortality and cardiac events. PPM was present in 47% of patients. The 5-year overall survival and cardiac event-free survival were 82+/-3% and 75+/-4%, respectively, in patients with PPM compared with 93+/-3% and 87+/-4% in patients with no PPM (P< or =0.01). In multivariate analysis, PPM was associated with a 4.2-fold (95% CI, 1.6 to 11.3) increase in the risk of overall mortality and 3.2-fold (95% CI, 1.5 to 6.8) increase in the risk of cardiac events. The other independent risk factors were history of heart failure, NHYA class III-IV, severe left ventricular hypertrophy, and absence of normal sinus rhythm before operation. CONCLUSIONS: PPM is an independent predictor of cardiac events and midterm mortality in patients with pure aortic stenosis undergoing aortic valve replacement. As opposed to other risk factors, PPM may be avoided or its severity may be reduced with the use of a preventive strategy at the time of operation.


Subject(s)
Aortic Valve Stenosis/mortality , Aortic Valve Stenosis/surgery , Body Size , Heart Valve Prosthesis/statistics & numerical data , Aged , Aged, 80 and over , Aortic Valve Stenosis/diagnostic imaging , Cause of Death , Comorbidity , Disease-Free Survival , Echocardiography, Doppler , Female , Humans , Hypertension/mortality , Kidney Failure, Chronic/mortality , Male , Middle Aged , Multivariate Analysis , Prevalence , Prognosis , Risk Factors , Survival Analysis
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