Thoracic aortic surgery and cardiopulmonary bypass are both associated with development of postoperative acute kidney injury. In this study, we undertook to investigate the relationship between cardiopulmonary bypass time and postoperative acute kidney injury in patients undergoing thoracic aortic surgery for acute DeBakey Type I aortic dissection. All patients receiving thoracic aortic surgery for acute DeBakey Type I aortic dissection in Beijing Anzhen hospital from December 2015 to April 2017 were included. Cardiopulmonary bypass time was recorded during surgery. Acute kidney injury was defined based on the Kidney Disease Improving Global Outcomes criteria. A total of 115 consecutive patients were eventually analyzed. The overall incidence of acute kidney injury was 53.0% (n = 61). The average age was 47.8 ± 10.7 years; 74.8% were male. Mean cardiopulmonary bypass time was 211 ± 56 min. In-hospital mortality was 7.8%. Multivariate logistic regression revealed that cardiopulmonary bypass time was independently associated with the occurrence of postoperative acute kidney injury after adjust confounding factors (odds ratio = 1.171; 95% confidence interval: 1.002–1.368; P = 0.047). Cardiopulmonary bypass time is independently associated with an increased hazard of acute kidney injury after thoracic aortic surgery for acute DeBakey Type I aortic dissection. Further understanding of the mechanism of this association is crucial to the design of preventative strategies.

The purpose of this study is to identify the risk factors for postoperative severe hypoxemia after surgery for acute type A aortic dissection. This was a single-center retrospective study including 112 consecutive patients undergoing urgent aortic arch surgery for acute type A aortic dissection between December 2016 and April 2017 at Beijing Anzhen Hospital. Multivariate logistic regression analysis identified female (OR, 12.978; 95% CI, 3.332 to 50.546; p < 0.001) and increased body mass index (OR, 1.473; 95% CI, 1.213 to 1.789; p < 0.001) as independent predictors of postoperative severe hypoxemia in patients with acute type A aortic dissection. Obesity and female were independent risk factors for postoperative severe hypoxemia in patients with acute type A aortic dissection. More attention should be paid to preventing postoperative severe hypoxemia in obese women with acute type A aortic dissection.

Background: Acute renal failure (ARF) is the most common major complication following cardiac surgery for acute aortic syndrome (AAS) and worsens the postoperative prognosis. Our aim was to establish a machine learning prediction model for ARF occurrence in AAS patients.Methods: We included AAS patient data from nine medical centers (n = 1,637) and analyzed the incidence of ARF and the risk factors for postoperative ARF. We used data from six medical centers to compare the performance of four machine learning models and performed internal validation to identify AAS patients who developed postoperative ARF. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to compare the performance of the predictive models. We compared the performance of the optimal machine learning prediction model with that of traditional prediction models. Data from three medical centers were used for external validation.Results: The eXtreme Gradient Boosting (XGBoost) algorithm performed best in the internal validation process (AUC = 0.82), which was better than both the logistic regression (LR) prediction model (AUC = 0.77, p < 0.001) and the traditional scoring systems. Upon external validation, the XGBoost prediction model (AUC =0.81) also performed better than both the LR prediction model (AUC = 0.75, p = 0.03) and the traditional scoring systems. We created an online application based on the XGBoost prediction model.Conclusions: We have developed a machine learning model that has better predictive performance than traditional LR prediction models as well as other existing risk scoring systems for postoperative ARF. This model can be utilized to provide early warnings when high-risk patients are found, enabling clinicians to take prompt measures.

Background: Acute Stanford type A aortic dissection is a lethal disease requiring surgery. Evidence regarding the effects of preoperative creatinine in mortality is limited, and few studies have evaluated the effect of postoperative dialysis treatment on it. Methods: In this cohort study, we continuously recruited 632 surgical patients who were treated for acute type A aortic dissection in our hospital between January 2015 and May 2017. The preoperative level of serum creatinine was measured. All patients were followed up after surgery for 30 days to determine early mortality. Results: The 30-day mortality after surgery increased with elevated levels of preoperative serum creatinine. Median (interquartile range) serum creatinine levels in survivors were 9.61 μmol/dL (7.28-12.62 μmol/dL) versus 13.41 μmol/dL (10.28-20.63 μmol/dL) in death (p < 0.01). Adjusted odds ratios for increasing per μmol/dL serum creatinine were 1.09 (95% confidence interval, 1.03-1.15). We also found that the effect of preoperative creatinine on 30-day mortality was diminished by dialysis treatment after surgery. Conclusion: Preoperative serum creatinine predicts outcome in patients undergoing surgery for Stanford type A aortic dissection, and postoperative dialysis treatment can reduce its hazard.

Background: Postoperative acute respiratory distress syndrome (ARDS) after type A aortic dissection is common and has high mortality. However, it is not clear which patients are at high risk of ARDS and an early prediction model is deficient. Methods: From May 2015 to December 2017, 594 acute Stanford type A aortic dissection (ATAAD) patients who underwent aortic surgery in Anzhen Hospital were enrolled in our study. We compared the early survival of MS-ARDS within 24 h by Kaplan–Meier curves and log-rank tests. The data were divided into a training set and a test set at a ratio of 7:3. We established two prediction models and tested their efficiency. Results: The oxygenation index decreased significantly immediately and 24 h after TAAD surgery. A total of 363 patients (61.1%) suffered from moderate and severe hypoxemia within 4 h, and 243 patients (40.9%) suffered from MS-ARDS within 24 h after surgery. Patients with MS-ARDS had higher 30-day mortality than others (log-rank test: p-value <0.001). There were 30 variables associated with MS-ARDS after surgery. The XGboost model consisted of 30 variables. The logistic regression model (LRM) consisted of 11 variables. The mean accuracy of the XGBoost model was 70.7%, and that of the LRM was 80.0%. The AUCs of XGBoost and LRM were 0.764 and 0.797, respectively. Conclusion: Postoperative MS-ARDS significantly increased early mortality after TAAD surgery. The LRM model has higher accuracy, and the XGBoost model has higher specificity.

Background: Aortic arch surgery and obesity are both related to the risk of acute kidney injury. Our hypothesis was that the risk of postoperative acute kidney injury increases as body mass index increases in patients undergoing urgent aortic total arch replacement surgery for acute DeBakey Type I aortic dissection. Methods: We conducted a retrospective cohort study in Beijing Anzhen Hospital from December 2015 to April 2017. All patients receiving urgent aortic total arch replacement surgery with a frozen elephant trunk implant for acute DeBakey Type I aortic dissection were included. Body mass index was calculated based on height and weight. Acute kidney injury was diagnosed based on the Kidney Disease Improving Global Outcomes standards. Results: We included 115 consecutive patients in this study. A total of 53.0% (n = 61) of patients had acute kidney injury. The mean age was 47.8 ± 10.7 years, and 25.2% were women. Mean body mass index was 26.2 ± 3.9 kg/m². The results of a univariate analysis showed that BMI, eGFR, CPB time, operative time, intraoperative blood loss, intraoperative amount of PRBCs, and respiratory failure were significantly correlated with AKI. In-hospital mortality was obviously increased in the acute kidney injury group (13.1% vs 1.9%; P = 0.025). Multivariate logistic regression showed that body mass index was associated with postoperative acute kidney injury after adjusting for other confounding factors (odds ratio = 1.16; 95% confidence interval: 1.02–1.33; P = 0.0288). The risk of postoperative AKI in the BMI ≥ 24 kg/m² group was increased by 2.35 times (OR = 3.35, 95% CI: 1.15–9.74; p = 0.0263). Conclusions: Body mass index was an independent predictor of acute kidney injury after urgent aortic total arch replacement surgery with a frozen elephant trunk implant.