Objectives To summarize and analyze the clinical characteristics of postoperative complications after minimally invasive closure of transthoracic ventricular septal defect, and to explore the risk factors for its occurrence. Methods Retrospectively analyzed the clinical data of 209 patients underwent transthoracic ventricular septal defect closure performed in the Department of Cardiothoracic Surgery, Children’s Hospital of Chongqing Medical University from January 2018 to January 2020, obtained relevant clinical data from the electronic medical record system and summarized their postoperative complications. And used univariate logistics regression and multivariate logistics regression to analyze the risk factors of its occurrence. Results The postoperative hospital stay of 27 patients was longer than 9 days. Residual shunt occurred in 33 patients recently after operation. One patient underwent surgical treatment again because of mechanical hemolysis after the operation. Two patients were re-operated 1 month and 10 months after surgery because of persistent moderate to severe aortic regurgitation. After surgery, 3 patients underwent pericardiocentesis due to a large amount of pericardial effusion, and 2 patients developed a new atrioventricular block after the operation. No other serious adverse events occurred. Multivariate logistic regression analysis showed that the size of VSD defect (OR: 1.494, 95% Cl: 1.108–2.013, P value: 0.008) was related to long postoperative hospitalization. The residual shunt is related to the size of the occluder (OR: 1.452, 95%Cl: 1.164–1.810, P value: 0.001). In the univariate logistics regression analysis, no risk factors related to serious adverse events were found. Conclusions The minimally invasive closure of transthoracic ventricular septal defect is very effective, with no mortality and low incidence of serious adverse events after surgery. The size of the defect is related to the long postoperative hospitalization, and the size of the occluder is related to the residual shunt in the early postoperative period. No risk factors related to the occurrence of serious adverse events after the operation were found.

Objectives The occurrence of pulmonary infection after congenital heart disease (CHD) surgery can lead to significant increases in intensive care in cardiac intensive care unit (CICU) retention time, medical expenses, and risk of death risk. We hypothesized that patients with a high risk of pulmonary infection could be screened out as early after surgery. Hence, we developed and validated the first risk prediction model to verify our hypothesis. Methods Patients who underwent CHD surgery from October 2012 to December 2017 in the Children’s Hospital of Chongqing Medical University were included in the development group, while patients who underwent CHD surgery from December 2017 to October 2018 were included in the validation group. The independent risk factors associated with pulmonary infection following CHD surgery were screened using univariable and multivariable logistic regression analyses. The corresponding nomogram prediction model was constructed according to the regression coefficients. Model discrimination was evaluated by the area under the receiver operating characteristic curve (ROC) (AUC), and model calibration was conducted with the Hosmer-Lemeshow test. Results The univariate and multivariate logistic regression analyses identified the following six independent risk factors of pulmonary infection after cardiac surgery: age, weight, preoperative hospital stay, risk-adjusted classification for congenital heart surgery (RACHS)-1 score, cardiopulmonary bypass time and intraoperative blood transfusion. We established an individualized prediction model of pulmonary infection following cardiopulmonary bypass surgery for CHD in children. The model displayed accuracy and reliability and was evaluated by discrimination and calibration analyses. The AUCs for the development and validation groups were 0.900 and 0.908, respectively, and the P-values of the calibration tests were 0.999 and 0.452 respectively. Therefore, the predicted probability of the model was consistent with the actual probability. Conclusions Identified the independent risk factors of pulmonary infection after cardiopulmonary bypass surgery. An individualized prediction model was developed to evaluate the pulmonary infection of patients after surgery. For high-risk patients, after surgery, targeted interventions can reduce the risk of pulmonary infection.