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Background This study assessed the early and long-term results of arch operations performed after a prior aortic operation. Methods From 1994 to 2014, 154 consecutive patients (mean age, 59.7 years) underwent an aortic arch repair, after a previous aortic operation, at our institution. Antegrade selective cerebral perfusion was used in all cases. Chronic postdissection aortic aneurysm (87 [56.5%]) and degenerative aneurysm (43 [27.9%]) represented the most common indications for surgical intervention. A complete arch replacement was performed in 119 patients (77.3%), an associated root repair in 70 (45.5%), and the frozen elephant trunk technique was used in 55 (35.7%). Results Hospital mortality was 11.7% (n = 18). Postoperative permanent neurologic dysfunction occurred in 10 patients (6.4%). On multivariate analysis, cardiopulmonary bypass time (odds ratio, 1.02 per minute; p = 0.005) emerged as the only independent predictor of hospital death. Follow-up was 100% complete. The estimated survival at 1, 5, and 10 years was 79.6%, 69.9%, and 46.8%, respectively. Freedom from reoperation was 75.6% at 5 years and 54.6% at 10 years. Cox regression identified chronic postdissection aortic aneurysm (odds ratio, 4.2; p = 0.006) to be the only independent predictor of aortic reintervention. Late survival was comparable between degenerative aneurysm patients and the Italian population matched for age and sex (standardized mortality ratio, 1.9; p = 0.1). Longevity was reduced in patients operated on for chronic postdissection aortic aneurysm (standardized mortality ratio, 6.3; p < 0.001). Conclusions Arch operations after a previous open aortic repair can be performed with acceptable mortality and good long-term outcomes. Complete aortic resection did not increase hospital deaths and was associated with a low need for aortic reinterventions at follow-up. [ABSTRACT FROM AUTHOR]

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]