BackgroundTo the best of our knowledge, there is no nationwide data available on the development of minimally invasive cardiac surgery (MICS) in China. The purpose of this study was to report the results of MICS in 6 experienced centers in China.Material/MethodsFrom September 2014 to July 2016, 1241 patients with cardiac conditions who underwent MICS procedures were randomly enrolled in 6 centers in China, and those patients were randomly selected for inclusion in this study. The MICS procedures were defined as any cardiac surgery performed through a less invasive incision, rather than a complete median sternotomy, mainly including mini-incision surgery (400, 32.2%), video-assisted approach (265, 21.3%), completely thoracoscopic approach without robotic assistance (504, 40.6%), and robotic procedure (55, 4.4%).ResultsThe 5 most common in-hospital complications were respiratory failure (28, 2.3%), reoperation for all reasons (19, 1.5%), renal failure (11, 0.9%), heart failure (9, 0.7%), and stroke (6, 0.5%). The multivariate logistic regression analysis results showed that cardiopulmonary bypass (CPB) time (P=0.033), aortic cross-clamp time (P=0.003), cannulation approach (P=0.010), and left ventricular ejection fraction (LVEF) (P=0.003) at baseline were all significant risk factors of any in-hospital complication of MICS procedures.ConclusionsFrom our experience, minimally invasive cardiac approaches are safe and reproducible, with acceptable CPB and aortic cross-clamp time duration and low mortality.
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.
Background and Aims: Patients with heart failure with reduced ejection fraction (HFrEF) are among the most challenging patients undergoing coronary artery bypass grafting surgery (CABG). Several surgical risk scores are commonly used to predict the risk in patients undergoing CABG. However, these risk scores do not specifically target HFrEF patients. We aim to develop and validate a new nomogram score to predict the risk of in-hospital mortality among HFrEF patients after CABG.Methods: The study retrospectively enrolled 489 patients who had HFrEF and underwent CABG. The outcome was postoperative in-hospital death. About 70% (n = 342) of the patients were randomly constituted a training cohort and the rest (n = 147) made a validation cohort. A multivariable logistic regression model was derived from the training cohort and presented as a nomogram to predict postoperative mortality in patients with HFrEF. The model performance was assessed in terms of discrimination and calibration. Besides, we compared the model with EuroSCORE-2 in terms of discrimination and calibration.Results: Postoperative death occurred in 26 (7.6%) out of 342 patients in the training cohort, and in 10 (6.8%) out of 147 patients in the validation cohort. Eight preoperative factors were associated with postoperative death, including age, critical state, recent myocardial infarction, stroke, left ventricular ejection fraction (LVEF) ≤35%, LV dilatation, increased serum creatinine, and combined surgery. The nomogram achieved good discrimination with C-indexes of 0.889 (95%CI, 0.839–0.938) and 0.899 (95%CI, 0.835–0.963) in predicting the risk of mortality after CABG in the training and validation cohorts, respectively, and showed well-fitted calibration curves in the patients whose predicted mortality probabilities were below 40%. Compared with EuroSCORE-2, the nomogram had significantly higher C-indexes in the training cohort (0.889 vs. 0.762, p = 0.005) as well as the validation cohort (0.899 vs. 0.816, p = 0.039). Besides, the nomogram had better calibration and reclassification than EuroSCORE-2 both in the training and validation cohort. The EuroSCORE-2 underestimated postoperative mortality risk, especially in high-risk patients.Conclusions: The nomogram provides an optimal preoperative estimation of mortality risk after CABG in patients with HFrEF and has the potential to facilitate identifying HFrEF patients at high risk of in-hospital mortality.
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