Abstract
We examined our contemporary experience with hemiarch and total arch replacement in patients with previous acute type I aortic dissection. Over an 8.5-year period, 137 consecutive patients (median age 58 years, interquartile range, 50 to 67) underwent hemiarch or total transverse aortic arch replacement a median of 7.7 years (range, 67 days to 32 years; interquartile range, 2.8 to 12.3 years) after previous acute type I aortic dissection repair. Interventions involving only the aortic root, aortic valve, descending aorta, or thoracoabdominal aorta were excluded. Multivariate analysis of 20 potential preoperative and intraoperative risk factors was performed to examine early death, neurologic deficit, composite endpoint (operative death, permanent neurologic deficit, or hemodialysis at discharge), and long-term mortality. Total arch replacement was performed in 103 patients (75.2%), hemiarch replacement in 34 (24.8%), and elephant trunk procedures in 77 (56.2%). Thirty-one repairs (22.6%) were emergent or urgent. There were 16 operative deaths (11.7%), 4 permanent strokes (3.6%), and 21 (15.3%) instances of the composite endpoint. In the multivariate analysis, congestive heart failure and cardiopulmonary bypass time independently predicted operative mortality (p = 0.0027, p = 0.018). Emergency operation approached significance for stroke (p = 0.088). Predictors of long-term mortality (during a median follow-up period of 5.1 years, 95% confidence interval: 4.4 to 5.8) were female sex (p = 0.0036), congestive heart failure (p = 0.0045), and circulatory arrest time (p = 0.0013); preoperative pulmonary disease approached significance (p = 0.074). Five-year survival was 73.2%. In patients with previous acute type I aortic dissection repair, hemiarch and total arch operations have respectable morbidity and survival rates. Congestive heart failure predicts operative death, long-term mortality, and our adverse event endpoint. Cardiopulmonary bypass time predicts operative mortality, and female sex and circulatory arrest time predict long-term mortality.
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