Associations between valve repair and reduced operative mortality in 21,056 mitral/tricuspid double valve procedures.

OBJECTIVES: Repair of either the mitral (M) or tricuspid (T) valve in single valve surgery is associated with reduced operative mortality. It is unclear, however, how valve repair influences mortality in combined MT procedures. This topic was evaluated in the Society of Thoracic Surgeons database. METHODS: From 1993 through 2007, 21 056 patients underwent concomitant MT valve surgery. Group I had M&T replacement (n = 1130), Group II had M repair and T replacement (n = 216), Group III had M replacement and T repair (n = 11 448) and Group IV had both M&T repair (n = 8262). Unadjusted operative mortalities (UOMs) and morbidities of Groups I-IV were assessed, and logistic regression analysis adjusted for differences in baseline patient profiles. Surgical outcomes were expressed as UOMs, and also adjusted odds ratios (ORs) for mortality. RESULTS: Group IV was older with more coronary artery bypass grafting and generally less comorbidity, and Group I had more endocarditis, mitral stenosis and reoperation. UOM values were: Group I = 16.8, Group II = 10.2, Group III = 10.3 and Group IV = 8.0%. In the multivariable model, factors influencing mortality included: age (per 5-year increase, OR = 1.15), renal failure with dialysis (OR = 3.22), emergency status (OR = 3.14), second or more reoperations (OR = 1.92) and later surgical date (OR = 0.63). Both M and T repair were independently associated with lower operative mortalities vs prosthetic valve replacement (OR = 0.83 and 0.60, respectively, P < 0.003). CONCLUSIONS: In MT double valve surgery, repair of either valve is associated with lower risk-adjusted mortality when compared with replacement and, when feasible, multiple valve repair should be considered the optimal treatment. Within the limitations of observational analysis, these data support continued efforts to increase M&T repair rates.

Duke Scholars

Author Pamela Susan Douglas Medicine, Cardiology

Author Sean Michael O'Brien Biostatistics & Bioinformatics, Division of Biostatistics