Reoperative valve surgery in the elderly: predictors of risk and long-term survival.

Balsam, Leora B; Grossi, Eugene A; Greenhouse, David G; Ursomanno, Patricia; Deanda, Abelardo; Ribakove, Greg H; Culliford, Alfred T; Galloway, Aubrey C · Ann Thorac Surg · 2010

retrospective_cohort · Level III

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Abstract

Elderly patients requiring reoperative cardiac surgery for valve disease are considered high risk for immediate outcomes, but little is known about their long-term survival. It is often conjectured that medical therapy provides equivalent late survival in this population, which may dissuade both patient and surgeon from considering reoperation. We analyzed a cohort of such patients undergoing reoperative valve surgery to determine their long-term survival. From 1992 through 2007, 363 patients aged 75 years or more underwent reoperative isolated valve surgery; 211 (58%) had aortic valve replacement and 152 (42%) had mitral valve surgery. Mean age was 80.5 years. Hospital outcomes were prospectively recorded. Survival from all-cause death was determined from the Social Security Death Index. Hospital mortality was 13.8% (12.8% for aortic and 15.1% for mitral valve operations; p = 0.52). Multivariable predictors of hospital death were New York Heart Association functional class III or IV heart failure (odds ratio = 3.19, p = 0.012), dialysis (odds ratio = 15.63, p = 0.003), and more than one reoperation (odds ratio = 2.59, p = 0.058). At 5 years, overall survival was 62% ± 3% for all patients (66% ± 4% for aortic and 56% ± 4% for mitral valve patients). For aortic valve patients aged 80 years or more, 5-year survival was 60% ± 0.6%. Life expectancy table analysis predicted a 5-year survival of 57% for an age-matched and sex-matched comparison group. Reoperative surgery for elderly patients with isolated aortic or mitral valve pathology is associated with excellent long-term survival, particularly when treating aortic valve disease. While in-hospital mortality is higher among the elderly than among younger patients, specific predictors of poor outcome can be identified preoperatively to risk stratify these patients.

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