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Objectives Aortic root replacement using a composite graft is the treatment of choice for a large variety of aortic root conditions with a diseased aortic valve. The objective of the current study was to evaluate the long-term results of this procedure. Methods Between 1978 and 2010, 1045 patients aged 58.7 ± 13.6 years underwent aortic root composite graft replacement using the following techniques: 95 Bentall operation; 926 the “button technique;” 24 the Cabrol technique. A mechanical composite valve graft was implanted in 69.6% of the patients. Six-hundred and thirty-five patients (62.3%) had annuloaortic ectasia and 162 (15.5%) had aortic dissection. Results Early mortality was 5.3% (55/1045). Independent risk factors for early mortality at logistic regression analysis were age ≥70 years ( P = .051; odds ratio [OR], 2.97), New York Heart Association III-IV ( P = .052; OR, 1.88), reoperation ( P = .021; OR, 2.36), urgency/emergency ( P = .003; OR, 3.09), mitral valve replacement ( P = .001; OR, 6.01), or coronary artery bypass grafting (CABG) ( P < .001; OR, 4.39); while bicuspid aortic valve (BAV) ( P = .013; OR, 0.21), and time of operation 2001-2011 ( P = .025; OR, 0.60) were protective predictors for early mortality. Overall survival at 5, 10, and 20 years was 84.1% ± 1.3%, 65.5% ± 2.6%, and 40.7% ± 4.6%, respectively. Multivariate analysis revealed chronic renal insufficiency ( P = .001; hazard ratio [HR], 3.48), chronic obstructive pulmonary disease ( P = .027; HR, 1.94), aortic dissection ( P = .001; HR, 2.63), Cabrol technique ( P = .009; HR, 15.34), and CABG ( P = .016; HR, 2.02) to be significant predictors of late death, and BAV ( P = .010; HR, 0.43) to be a significant protective predictor. Freedom from thromboembolism, bleeding complications, and endocarditis was 93.7% ± 2.6%, 90.3% ± 3.1%, and 98.4% ± 1% at 20 years, respectively. Freedom from aortic reoperation was 91.8% ± 2.1% at 20 years and was significantly lower in patients with aortic dissection. Conclusions Within the limitations of this retrospective study, we can conclude that aortic root replacement for aortic root aneurysms can be performed with low morbidity and mortality and with satisfactory long-term results. Few late serious complications were related to the need for long-term anticoagulation or a prosthetic valve. Reoperation on the proximal or in the distal aorta was most commonly performed in patients with aortic dissection. [ABSTRACT FROM AUTHOR]

Background The development of acute kidney injury (AKI) in cardiac surgery is associated with increased morbidity and mortality. The aim of the study was to assess the incidence and risk factors for AKI after thoracic aorta surgery, using antegrade selective cerebral perfusion (ASCP) and moderate hypothermia. Methods We reviewed 641 patients undergoing thoracic aortic surgery, using ASCP and moderate hypothermia, from November 1996 to December 2012. Patient preoperative, intraoperative, and postoperative variables were evaluated for association with AKI with logistic regression analysis. Models including all variables and models, after the sequential removal of postoperative, and both postoperative and intraoperative variables, were assessed using receiver operating characteristic analysis. Results The mean age of the patients was 62.9 years, and 194 patients (30%) were women. The overall incidence of AKI was 19.0%. In-hospital mortality was significantly higher in the AKI group (33.6% vs 6.7%; P < .001). Logistic regression analysis identified 8 predictors of AKI: 4 of them were preoperative (priority, diabetes, preoperative glomerular filtration rate, and weight); 2 intraoperative (mitral valve and aortic valve replacement); and 2 postoperative (overall neurologic complication and reoperation for bleeding). Model-discrimination performance improved from an area under the curve (AUC) of 0.737, for the model including only preoperative variables, to an AUC of 0.798 for the model including all variables ( P = .012). Conclusions The incidence of AKI after thoracic aorta surgery is fairly common, and its occurrence strongly affects outcomes. Preoperative renal status and preoperative conditions are the main influences on AKI development. Predictive models can be improved by adding intraoperative and postoperative variables. [ABSTRACT FROM AUTHOR]