The aim of this paper is to explore the prevention of rabbit postoperative abdominal cavity adhesion with poly (lactic-co-glycotic acid) (PLGA) membrane and the mechanism of this prevention function. Sixty-six Japanese white rabbits were randomly divided into normal control group, model control group and PLGA membrane group. The rabbits were treated with multifactor methods to establish the postoperative abdominal cavity adhesion models except for those in the normal control group. PLGA membrane was used to cover the wounds of rabbits in the PLGA membrane group and nothing covered the wounds of rabbits in the model control group. The hematologic parameters, liver and kidney functions and fibrinogen contents were detected at different time. The rabbit were sacrificed 1, 2, 4, 6, 12 weeks after the operations, respectively. The adhesions were graded blindly, and Masson staining and immunohistochemistry methods were used to observe the proliferation of collagen fiber and the expression of transforming growth factorβ1 (TGF-β1) on the cecal tissues, respectively. The grade of abdominal cavity adhesion showed that the PLGA membrane-treated group was significant lower than that in the model control group, and it has no influence on liver and kidney function and hematologic parameters. But the fibrinogen content and the number of white blood cell in the PLGA membrane group were significant lower than those of model control group1 week and 2 weeks after operation, respectively. The density of collagen fiber and optical density of TGF-β1 in the PLGA membrane group were significant lower than those of model control group. The results demonstrated that PLGA membrane could be effective in preventing the abdominal adhesions in rabbits, and it was mostly involved in the reducing of fibrinogen exudation, and inhibited the proliferation of collagen fiber and over-expression of TGF-β1.
ObjectiveTo evaluate the effect of perioperative nebulization of ipratropium bromide on preoperative pulmonary function and incidence of postoperative pulmonary complications as well as safety in chronic obstructive pulmonary disease (COPD) patients who underwent lung resection in thoracic surgery. MethodsDuring November 18, 2013 to August 12, 2015, 192 COPD patients with a necessity of selective surgical procedures of lobectomy or right bilobectomy or segmentectomy under general anaesthesia in 10 centers were 1 : 1 randomized to an ipratropium bromide group (96 patients) and a placebo group (96 patients), to compare the effect on preoperative pulmonary function and incidence of postoperative pulmonary complications. The average age of treated patients was 62.90±6.50 years, with 168 male patients and 22 female patients. Results The demographic and baseline characteristics were well-balanced between the two groups. The adjusted mean increase of forced expiratory volume in one second (FEV1) in the ipratropium bromide group was significantly higher than that in the placebo group (169.90±29.07 mL vs. 15.00±29.35 mL, P<0.05). The perioperative use of ipratropium bromide significantly decreased incidence of postoperative pneumonia (2.6% vs. 14.1%, P<0.05). There was no ipratropium bromide related adverse event (AE) observed in this trial. ConclusionThis trial indicates that perioperative nebulization of ipratropium bromide significantly improves preoperative lung function and reduces postoperative pneumonia in COPD patients undergoing lung resection in thoracic surgery, and has good safety profile.
ObjectiveTo investigate the importance of nursing observation and intervention for extrahepatic bile duct stones with gallbladder stones treated by electronic duodenoscopic sphincterotomy (EST) combined with laparoscopic cholecystectomy (LC). MethodsFrom July 2011 to February 2014, 157 patients with extrahepatic bile duct stones with gallbladder stones underwent EST and LC at the same time in our department. Combined with the surgery characteristics, we focused on the close observation and nursing of postoperative complications and drainage tubes for patients' timely recovery. ResultsOne patient with duodenal diverticulum papilla did not complete EST and LC surgery, which was then transformed to LC, bile duct incision and choledochoscopy with T tube drainage. All the remaining 156 patients completed endoscopic retrograde cholangio-pancreatography and LC with a completion rate of 99.36%. Under close observation and careful nursing care, this group of patients did not have duodenum perforation, bile leakage or other complications. No patient died. Seven to thirteen days after hospitalization, all the patients were cured and discharged from the hospital. ConclusionFor patients undergoing EST and LC at the same time, observation and timely intervention are very important in reducing serious complications, improving the quality of surgery, enhancing patients' comfort, and promoting postoperative recovery.
ObjectiveTo investigate the clinical value of the C-reactive protein (CRP) ratio (CRP value on postoperative day 3/day 1) as an early predictor of postoperative severe complication after laparoscopic gastrectomy (LG) for gastric cancer.MethodsThis retrospective study examined the relationship between the occurrence of severe complication and the CRP ratio of 259 gastric cancer patients, who underwent LG in the Department of General Surgery of General Hospital of Fuxin Mining Industry Group of Liaoning Health Industry Group from January 2015 to January 2020. According to Clavien-Dindo (CD) grading system, gastric cancer patients were divided into the severe postoperative complication group (n=41, 15.8%) and the non-severe postoperative complication group (n=218, 84.2%). The relationship between CRP ratio and clinicopathologic characteristics of patients and the predictive value of CRP ratio for severe complication were analyzed.ResultsThe optimal cutoff value of CRP ratio of 2.2 offered 63.2% sensitivity, 91.0% specificity, 70.7% positive predictive value, and 85.8% negative predictive value for severe postoperative complication. The area under the receiver operating characteristic curve was 0.766. There had distinct differences (P<0.05) on body mass index, preoperative comorbidity, type of surgery, T stage, and TNM stage between the high CRP ratio group (CRP ratio >2.2, n=60) and the low CRP ratio group (CRP ratio ≤2.2, n=199). Logistic regression showed that preoperative comorbidity [OR=3.624, 95%CI (1.191, 11.206), P=0.023], later of TNM stage [OR=9.037, 95% CI (1.729, 47.226), P=0.009], and CRP ratio >2.2 [OR=20.473, 95%CI (7.948, 52.737), P<0.001] were independent risk factors for postoperative severe complication after LG.ConclusionThere must to be paid enough attention to the CRP ratio >2.2 on the day 1 and 3 after LG, it suggests that there might be a risk of severe postoperative complications.
Objective To develop and compare the predictive performance of five machine learning models for adverse postoperative outcomes in cardiac surgery patients, and to identify key decision factors through SHapley Additive exPlanations (SHAP) interpretability analysis. Methods A retrospective collection of perioperative data (including demographic information, preoperative, intraoperative, and postoperative indicators) with 88 variables was conducted from adult cardiac surgery patients at the First Affiliated Hospital of Xinjiang Medical University in 2023. Adverse postoperative outcomes were defined as the occurrence of acute kidney injury and/or in-hospital mortality during the postoperative hospitalization period following cardiac surgery. Patients were divided into an adverse outcome group and a favorable outcome group based on the presence of adverse postoperative outcomes. After screening feature variables using the least absolute shrinkage and selection operator (LASSO) regression method, five machine learning models were constructed: eXtreme gradient boosting (XGBoost), random forest (RF), gradient boosting machine (GBM), light gradient boosting machine (LightGBM), and generalized linear model (GLM). The dataset was randomly divided into a training set and a test set at a 7 : 3 ratio using stratified sampling, with postoperative outcome as the stratification factor. Model performance was evaluated using receiver operating characteristic curves, decision curve analysis, and F1 Score. The SHAP method was applied to analyze feature contribution. Results A total of 639 patients were included, comprising 395 males and 244 females, with a median age of 62 (55, 69) years. The adverse outcome group consisted of 191 patients, while the favorable outcome group included 448 patients, resulting in an adverse postoperative outcome incidence of 29.9%. Univariate analysis showed no significant differences between the two groups for any variables (P>0.05). Using LASSO regression, 16 feature variables were selected (including cardiopulmonary bypass support time, blood glucose on postoperative day 3, creatine kinase-MB isoenzyme, systemic inflammatory response index, etc.), and five machine learning models (GLM, RF, GBM, LightGBM, XGBoost) were constructed. Evaluation results demonstrated that the XGBoost model exhibited the best predictive performance on both the training set (n=447) and test set (n=192), with area under the curve values of 0.761 [95%CI (0.719, 0.800) ] and 0.759 [95%CI (0.692, 0.818) ], respectively. It also significantly outperformed other models in positive predictive value, and balanced accuracy in the test set. Decision curve analysis further confirmed its clinical utility across various risk thresholds. SHAP analysis indicated that variables such as cardiopulmonary bypass support time, blood glucose on postoperative day 3, creatine kinase-MB isoenzyme, and inflammatory markers (SIRI, NLR, CAR) had high contributions to the prediction. Conclusion The XGBoost model effectively predicts adverse postoperative outcomes in cardiac surgery patients. Clinically, attention should be focused on cardiopulmonary bypass support time, postoperative blood glucose control, and monitoring of inflammatory levels to improve patient prognosis.
Objective To discuss the treatment of a patient with postoperative recurrence of hepatic epithelioid hemangioendothelioma by multidisciplinary team (MDT) model. MethodsThe MDT discussion and disease diagnosis and treatment process of one patient with recurrent hepatic epithelioid angioendothelioma admitted to Zhongnan Hospital of Wuhan University in April 2021 were summarized. Results The patient was admitted to the hospital for “more than one year after operation of hepatic epithelioid hemangioendothelioma”. Two years ago, the patient’s upper abdominal CT examination showed that there was a kind of round and slightly low-density nodule shadow in the left lateral lobe of the liver, which was about 30 mm×22 mm in size, and the boundary around the nodule was clear. There was a punctate high-density shadow in the S7 segment of the liver, which was not given special treatment and was reviewed regularly. One year later, the enhanced CT examination of the liver showed that the mass in the left lateral lobe of the liver was larger than before, and multiple nodules were seen in the right lobe of the liver. After admission, MRI examination showed multiple abnormal signal foci in the liver, so atypical hemangioma-like lesions (epithelioid hemangioendothelioma may be considered) were considered. Laparoscopic left lateral lobe resection + right liver lesion resection + radiofrequency ablation of liver lesion were performed in our department, and the patient recovered well after surgery. Four months after operation, MRI reexamined and found that intrahepatic metastasis might recur, so he was re-hospitalized, and after MDT discussion, it was decided to perform laparoscopic radiofrequency ablation of liver lesions (fluorescent laparoscopy) and laparoscopic partial liver resection (fluorescent laparoscopy) again. The patient recovered well after operation, and there was no recurrence after follow-up. Conclusion For patients with postoperative recurrence of hepatic epithelioid hemangioendothelioma, a comprehensive reoperation plan is made through MDT discussion, which may bring the best prognosis to patients.
ObjectiveTo provide a practical reference for optimizing pediatric heart transplantation protocols in China by summarizing the perioperative management and short-term outcomes of pediatric heart transplant recipients at our center. MethodsWe retrospectively analyzed the medical records of all pediatric heart transplant patients performed at the Heart Center of the Children's Hospital, Zhejiang University School of Medicine, between June 2023 and September 2025. Data on donor and recipient demographics, indications for transplantation, use of mechanical circulatory support (MCS) as a bridge to transplant, perioperative clinical parameters, postoperative complications, immunosuppressive regimens, and follow-up outcomes were collected and analyzed. ResultsA total of 12 pediatric patients were enrolled, including 5 females and 7 males, with a median age of 9.7 (7.0, 13.0) years, all diagnosed with cardiomyopathy. MCS was used as a bridge to transplant in 58.33% of patients, including extracorporeal membrane oxygenation in 41.67% and a left ventricular assist device in 16.67%. The median donor heart cold ischemic time was 355 (306, 376) minutes. The most common postoperative complications were acute kidney injury (58.3%) and infection (58.3%). One week postoperatively, the median left ventricular ejection fraction recovered to 67.2% (61.8%, 71.0%). At discharge, 10 patients were in New York Heart Association (NYHA) functional class Ⅰ and 2 patients were in class Ⅱ. Over a follow-up period of 1 to 27 months, all patients survived with good cardiac function. ConclusionOur single-center experience demonstrates satisfactory short-term survival and cardiac function recovery in pediatric heart transplantation. Key areas requiring optimization include strategies for MCS bridging, management of prolonged donor heart cold ischemic time, and individualization of immunosuppressive regimens. Future development of a multi-center registry and genomics-guided precise immunosuppression strategies holds the potential to further improve long-term outcomes.
ObjectiveTo investigate the risk factors affecting severe postoperative complications (Clavien-Dindo classification Ⅲa or higher) in patients with end-stage hepatic alveolar echinococcosis (HAE) underwent ex vivo liver resection and autotransplantation (ELRA), and to develop a nomogram prediction model. MethodsThe clinical data of end-stage HAE patients who underwent ELRA at the West China Hospital of Sichuan University from January 2014 to June 2024 were retrospectively analyzed. The logistic regression was used to analyze the risk factors affecting severe postoperative complications. A nomogram prediction model was established basing on LASSO regression and its efficiency was evaluated using receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Simultaneously, a generalized linear model regression was used to explore the preoperative risk factors affecting the total surgery time. Test level was α=0.05. ResultsA total of 132 end-stage HAE patients who underwent ELRA were included. The severe postoperative complications occurred in 47 (35.6%) patients. The multivariate logistic analysis results showed that the patients with invasion of the main trunk of the portal vein or the first branch of the contralateral portal vein (type P2) had a higher risk of severe postoperative complications compared to those with invasion of the first branch of the ipsilateral portal vein (type P1) [odds ratio (OR) and 95% confidence interval (CI)=8.24 (1.53, 44.34), P=0.014], the patients with albumin bilirubin index (ALBI) grade 1 had a lower risk of severe postoperative complications compared to those with grade 2 or higher [OR(95%CI)=0.26(0.08, 0.83), P=0.023]. Additionally, an increased total surgery time or the autologous blood reinfusion was associated with an increased risk of severe postoperative complications [OR(95%CI)=1.01(1.00, 1.01), P=0.009; OR(95%CI)=1.00(1.00, 1.00), P=0.043]. The nomogram prediction model constructed with two risk factors, ALBI grade and total surgery time, selected by LASSO regression, showed a good discrimination for the occurrence of severe complications after ELRA [area under the ROC curve (95%CI) of 0.717 (0.625, 0.808)]. The generalized linear regression model analysis identified the invasion of the portal vein to extent type P2 and more distant contralateral second portal vein branch invasion (type P3), as well as the presence of distant metastasis, as risk factors affecting total surgery time [β (95%CI) for type P2/type P1=110.26 (52.94, 167.58), P<0.001; β (95%CI) for type P3/type P1=109.25 (50.99, 167.52), P<0.001; β (95%CI) for distant metastasis present/absent=61.22 (4.86, 117.58), P=0.035]. ConclusionsFrom the analysis results of this study, for the end-stage HAE patients with portal vein invasion degree type P2, ALBI grade 2 or above, longer total surgery time, and more autologous blood transfusion need to be closely monitored. Preoperative strict evaluation of the first hepatic portal invasion and distant metastasis is necessary to reduce the risk of severe complications after ELRA. The nomogram prediction model constructed based on ABLI grade and total surgery time in this study demonstrates a good predictive performance for severe postoperative complications, which can provide a reference for clinical intervention decision-making.
ObjectiveTo explore the factors that affect the drainage time of da Vinci robot lung cancer surgery, to analyze the coping strategies, and to provide a basis for shortening the drainage time of patients after surgery and speeding up the patients' recovery.MethodsThe clinical data of 131 patients who underwent da Vinci robot lung cancer surgery at the Department of Thoracic Surgery, General Hospital of Northern Theater Command from January 2019 to October 2019 were retrospectively analyzed. Among them, 68 were males and 63 were females, with an average age of 59.84±9.66 years. According to the postoperative thoracic drainage time, the patients were divided into two groups including a group A (drainage time≤ 5 days) and a group B (drainage time >5 days). Univariate analysis and logistic multivariate regression analysis were used to analyze the factors that may affect postoperative drainage time, and the correlation between different influencing factors and thoracic drainage time after da Vinci robot lung cancer surgery.ResultsLogistic multivariate analysis showed that age≥60 years (P=0.014), diabetes mellitus (P=0.035), operation time≥130 min (P=0.018), number of lymph node dissections≥15 (P=0.002), and preoperative albumin<38.45 g/L (P=0.010) were independent factors affecting the drainage time of da Vinci robot lung cancer surgery.ConclusionFor elderly patients with diabetes mellitus during the perioperative period, blood glucose should be actively controlled, reasonable surgical strategies should be formulated to ensure the safety and effectiveness of the operation, while reducing intraoperative damage and shortening the operation time. After the operation, patients should be guided to strengthen active coughing, expectoration and lung expansion. Thereby it can shorten drainage time and speed up the recovery of patients after operation.
Objective To summarize the clinical data about mediastinal lesions, then to analyze the treatment effect of da Vinci robot system in the surgical treatment of mediastinal lesions. Methods We retrospectively analyzed the clinical data of 49 patients with mediastinal lesions in our hospital between January 2016 and October 2017. These patients were divided into two groups including a da Vinci robot group and a video-assisted thoracoscopic surgery (VATS) group according to the selection of the treatments. There were 25 patients with 14 males and 11 females at age of 56.5±17.9 years in the da Vinci group and 24 patient with 15 males and 11 females at age of 53.0±17.8 years in the VATS group. Results There was no statistical difference in surgery time between the two groups (t=–0.365, P=0.681). Less intraoperative blood loss (t=–2.569, P<0.001), less postoperative drainage amount within three days after surgery (t=–6.325, P=0.045), shorter period of bearing drainage tubes after surgery (t=–1.687, P=0.024), shorter hospital stays (t=–3.689, P=0.021), lower visual analogue scale (VAS) scores of postoperative 48 hours (t=–7.214, P=0.014) with a statistical difference in the da Vinci robot group compared with the VATS group. Conclusion The da Vinci robot system is safe and efficient in the treatment of mediastinal lesions compared with video-assisted thoracoscopic approach.