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Surgical treatment of type A Acute Aortic Dissection based on Geneva algorithm
Journal of Cardiothoracic Surgery volume 10, Article number: A313 (2015)
Type A Acute Aortic Dissection (AAAD) is a highly deadly disease. Management of AAAD suspicion is extremely important in order to gain time and increase the likelihood of survival.
The aim of this study is to review our experience based on our local algorithm developed for the assessment and management of patients with AAAD suspicion over the last 8 years.
All patients who underwent an emergency surgery for AAAD between 2007 and 2014 following our algorithm were assessed (Table). Their clinical situation at admission, evaluation, operative and postoperative data were evaluated retrospectively. Continuous variables were expressed as mean ± standard deviation; categorical variables were shown as frequency and percentage.
A total of 68 patients were included during the study period. The mean age was 61 ± 13 years, with 42 men (65%). Supracoronary ascending aorta replacement was the primary surgical procedure (in 31 patients, 46%). The mean cardiopulmonary bypass, cross clamp and circulatory arrest times were 3.2 ± 1.6, 2.1 ± 1.2 and 0.4 ± 0.2 hours. Acute renal failure (27, 40%), re-operation (18, 26%) and pneumonia (14, 20%) were the main postoperative complications. Mean intensive care unit stay and hospitalization times were 5.8 ± 6.2 and 26.5 ± 53.5 days. There were 14 perioperative deaths (21%) and 18 hospital deaths (26%). The 6-year survival was 67.5%.
Our institutional experience in managing AAAD is comparable to results from other centers. Standardizing management using an algorithm is important to gain time for rapid decision-making and having successful outcomes in centers with limited volume.
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Depboylu, B.C., Finci, L., Myers, P.O. et al. Surgical treatment of type A Acute Aortic Dissection based on Geneva algorithm. J Cardiothorac Surg 10 (Suppl 1), A313 (2015). https://doi.org/10.1186/1749-8090-10-S1-A313
- Acute Renal Failure
- Cardiopulmonary Bypass
- Intensive Care Unit Stay
- Local Algorithm
- Limited Volume