Objective To investigate the safety of thoracic surgery for high-altitude patients in local medical center. MethodsWe retrospectively collected 258 high-altitude patients who received thoracic surgery in West China Hospital, Sichuan University (plain medical center, 54 patients) and People's Hospital of Ganzi Tibetan Autonomous Prefecture (high-altitude medical center, 204 patients) from January 2013 to July 2019. There were 175 males and 83 females with an average age of 43.0±16.8 years. Perioperative indicators, postoperative complications and related risk factors of patients were analyzed. ResultsThe rate of minimally invasive surgery in the high-altitude medical center was statistically lower than that in the plain medical center (11.8% vs. 55.6%, P<0.001). The surgical proportions of tuberculous empyema (41.2% vs. 1.9%, P<0.001) and pulmonary hydatid (15.2% vs. 0.0%, P=0.002) in the high-altitude medical center were statistically higher than those in the plain medical center. There was no statistical difference in perioperative mortality (0.5% vs. 1.9%, P=0.379) or complication rate within 30 days after operation (7.4% vs. 11.1%, P=0.402) between the high-altitude center and the plain medical center. Univariate and multivariate analyses showed that body mass index≥25 kg/m2 (OR=8.647, P<0.001) and esophageal rupture/perforation were independent risk factors for the occurrence of postoperative complications (OR=15.720, P<0.001). ConclusionThoracic surgery in the high-altitude medical center is safe and feasible.
ObjectiveTo analyze the risk factors influencing major postoperative complications (MPC) after minimally invasive radical gastrectomy for gastric cancer following neoadjuvant chemotherapy (NACT), and to construct a nomogram for accurately predicting MPC risk factors, and provide a reference for clinical decision-making. MethodsThe gastric cancer patients who underwent minimally invasive radical gastrectomy in the Department of General Surgery of the First Medical Center of the Chinese PLA General Hospital from February 2012 to December 2022 and met the inclusion criteria of this study were retrospectively collected. The univariate and multivariate logistic regression model were used to evaluate the risk factors influencing MPC and a nomogram model was constructed. The MPC were defined as Clavien-Dindo classification grade Ⅱ and beyond. The area under the receiver operating characteristic curve (AUC) and the calibration curve were used to evaluate the discrimination and accuracy of the nomogram model. ResultsA total of 362 patients were included in this study, among whom 65 cases (18.0%) experienced MPC. The multivariate logistic regression analysis showed that the age ≥58 years old, body mass index (BMI) ≥25 kg/m2, tumor long diameter ≥30 mm, operative time ≥300 min, and preoperative neutrophil-to-lymphocyte ratio (NLR) ≥3.7 were the risk factors influencing MPC. The nomogram model constructed using the above variables showed that the AUC (95%CI) was 0.731 (0.662, 0.801) in predicting the risk of MPC. The calibration curves showed that the prediction curve of the nomogram in predicting the MPC was agree well with the actual MPC (Hosmer-Lemeshow test: χ2=9.293, P=0.056). ConclusionFrom the results of this study, nomogram model constructed by combining age, BMI, tumor long diameter, operative time, and preoperative NLR can distinguish between patients with and without MPC after minimally invasive radical gastrectomy for gastric cancer following NACT, and has a better accuracy.
Objective To analyze the influence of the ABO blood types of colorectal cancer patients served by West China Hospital as a regional center on surgical characteristics and postoperative complications in the current version of Database from Colorectal Cancer (DACCA). Methods The DACCA version was updated on January 5, 2022. The data items included ABO blood type, sex, type of operation, nature of operation and postoperative complications. The operative characteristics and complications at different stages after operation (in hospital, short-term and long-term after operation) of colorectal cancer patients with different blood types (A, B, AB, O) were analyzed. Results According to the DACCA database, we obtained 5 010 analysable data rows, covering 2005–2022. The results of blood types analysis showed that there was no significant difference among different blood types in the overall postoperative complications and the occurrence of complications in hospital, short-term and long-term after operation (P>0.05). Further subgroup analysis showed that only the difference of anastomotic leakage among different blood types was statistically significant (χ2=9.588, P=0.022). There was no significant difference among different blood types in whether the primary focus of colon cancer surgery was removed or not, the degree of radical resection of the primary focus, and whether the anus was preserved or not in rectal cancer surgery (P>0.05), and there was significant difference among different blood types with different degrees of radical resection of primary rectal cancer (χ2=15.773, P=0.001). Conclusions The ABO blood types of patients with colorectal cancer has nothing to do with the occurrence of overall complications in the short and long term after operation, and has no impact on the implementation of different surgical methods. However, the occurrence of a single postoperative anastomotic leakage is related to blood type, and its possible causes need to be further explored.
Objective To explore the predictive value of cardiopulmonary exercise test (CPET) combined with clinical indexes in the postoperative complications. Methods The clinical data and CPET data (including lung function) of patients undergoing radical esophagectomy in Xuzhou Central Hospital from January 2018 to March 2022 were collected. Univariate analysis and multivariate logistic regression analysis were used to analyze the meaningful evaluation index for the occurrence of postoperative complications. Results A total of 77 patients with esophageal cancer were included, including 59 (76.6%) males and 18 (23.4%) females aged 47-80 years. There were 42 (54.5%) patients in the non-complication group and 35 (45.5%) patients in the complication group. Univariate analysis results showed that the occurrence of postoperative complications was significantly correlated with age, body mass index (BMI), smoking index, tumor stage, the length of postoperative hospital stay, peak work rate (WRpeak), peak kilogram oxygen uptake (VO2peak/kg), the ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope), forced expiratory volume in the first second/forced vital capacity (FEV1/FVC) and maximum expiratory flow rate (MMEF) (P<0.05). The results of multivariate logistic regression analysis showed that BMI [OR=1.35, 95%CI (1.03, 1.77), P=0.031], peakVO2/kg [OR=0.64, 95%CI (0.45, 0.93), P=0.018], oxygen uptake-anaerobic threshold (ATVO2) [OR=0.66, 95%CI (0.44, 0.98), P=0.044] and VE/VCO2 slope [OR=1.49, 95%CI (1.10, 2.02), P=0.011] were the related indexes of complications after radical resection of esophageal cancer. The sensitivity of BMI, VO2peak/kg, ATVO2/kg and VE/VCO2 slope in predicting postoperative complications was 82.10%, and the specificity was 87.44%, 95%CI (0.744, 0.955). Conclusion BMI, VO2peak/kg, ATVO2/kg and VE/VCO2 slope can be used as predictors for postoperative complications of esophageal cancer.
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 provide clinical reference for the perioperative management of esophageal cancer patients with different stages of chronic obstructive pulmonary disease (COPD) through investigating the impact of COPD on postoperative complications and survival in esophageal cancer patients undergoing oesophagectomy.MethodsThe clinical data of 163 patients who underwent radical resection of esophageal cancer in our department from January 2015 to January 2018 were retrospectively analyzed, including 124 males and 39 females, with a median age of 64 years (IQR: 23.8 years). They were divided into a COPD group (n=87) and a non-COPD group (n=76) according to the presence of COPD before operation. The clinical data were collected and the postoperative complications and 2-year survival between the two groups were compared and analyzed.ResultsThe incidence of major postoperative complications (pulmonary infection, respiratory failure, arrhythmia and anastomotic leakage) in the COPD group were higher than those in the non-COPD group (all P<0.05). Spearman correlation analysis showed that the severity of preoperative COPD was positively correlated with the incidence of postoperative complications in patients with esophageal cancer (r=0.437, P<0.001). The incidence of postoperative respiratory failure and mortality in patients with severe COPD were significantly higher than those in patients without COPD and those with mild or moderate COPD. The 2-year survival rate of patients with esophageal cancer in the COPD group was lower than that in the non-COPD group (56.1% vs. 78.5.%, P=0.001), and the severity of COPD was negatively correlated to the survival rate.ConclusionCOPD significantly increases the incidence of postoperative complications in patients with esophageal cancer, which is not conducive to the prognosis of patients, and the severity of COPD is correlated with postoperative complications and 2-year survival rate.
Objective
To analyze the safety of surgical treatment and optimal surgical procedure for lung cancer patients with prior history of lung resection.
Methods
The medical records of 69 lung cancer patients with history of lung resection was retrospectively collected. There were 53 males and 16 females with a median age of 68 years ranging from 45 to 80 years. The risk factors for postoperative complications were analyzed using one-way ANOVA and logistic regression analysis. By comparing the data between the lobectomy and sublobectomy groups, the best surgical procedure was chosen.
Results
The 90-day mortality rate was 4.3%. Postoperative complication rate was 24.6%. Results of one-way ANOVA showed that blood loss during operation (P=0.020), tumor size (P=0.007), smoking (P=0.028) and FEV1%pre (P=0.018) were associated with increased major postoperative complications. Logistic regression analysis showed that FEV1%pre<77.0% (OR=0.935, 95%CI 0.888 to 0.984, P=0.010) and tumor size≥2 cm (OR=4.288, 95%CI 1.375 to 13.373, P=0.012) were independent risk factors for major postoperative complications. Lobectomy and sublobectomy groups had similar postoperative mortality and complication rate (P=0.063).
Conclusion
Surgical resection for selected lung cancer patients with history of lung resection is safe with low postoperative mortality and complication rate. Lobectomy with lymph node resection is the first choice if cardiopulmonary function permits. Pneumonectomy is not recommended.
ObjectiveTo explore the predictive value of the modified frailty index-11 (mFI-11) for postoperative complications in elderly lung cancer patients undergoing robot-assisted lobectomy. MethodsRetrospective collection of clinical data from lung cancer patients aged ≥65 years who underwent robot-assisted lobectomy at the Department of Thoracic Surgery, Gansu Provincial Hospital, from January 2022 to June 2025. Based on the optimal grouping threshold of 0.27 in previous studies for the mFI-11 score, patients were divided into a frail and a non-frail group. Postoperative complications of the two groups were analyzed, and multivariate logistic regression was used to assess the relationship between mFI-11 and postoperative complications. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive efficiency of mFI-11 for postoperative complications. ResultsA total of 161 patients were included, with 77 males and 84 females, and an average age of (68.48±2.90) years. Among them, 103 (64.0%) patients were in the non-frail group and 58 (36%) in the frail group. Differences between the two groups in terms of independent functional status, hypertension requiring drug control, history of type 2 diabetes, history of chronic obstructive pulmonary disease, American Society of Anesthesiologists classification, and tumor staging were all statistically significant (P<0.05). The length of postoperative hospital stay in the frail group was longer than that in the non-frail group [5.50 (5.00, 8.25) d vs. 5.00 (4.00, 5.00) d, P<0.001]. The incidence rates of general respiratory diseases (25.9% vs. 8.7%), hypoproteinemia (15.5% vs. 4.9%), arrhythmia (12.1% vs. 1.9%), bronchopleural fistula (5.2% vs. 0.0%), transfer to ICU for severe complications (10.3% vs. 1.0%), and readmission within 30 days after discharge (12.1% vs. 1.9%) were all higher in the frail group compared to the non-frail group (P<0.05). Multivariate logistic regression analysis found that mFI-11 had a better predictive efficiency for postoperative complications: general respiratory diseases [area under the curve (AUC)=0.759], hypoproteinemia (AUC=0.723), arrhythmia (AUC=0.795), transfer to ICU for severe complications (AUC=0.713), and readmission within 30 days after discharge (AUC=0.702). ConclusionmFI-11 can effectively predict postoperative complications in elderly lung cancer patients undergoing robot-assisted lobectomy and can serve as an objective indicator for identifying high-risk elderly lung cancer patients.
Objective To investigate the clinical characteristics and risk factors for perioperative lung surgery patients with SARS‐CoV‐2 Omicron variant infection. Methods The clinical data of patients who underwent lung surgery at the Department of Thoracic Surgery, Renmin Hospital of Wuhan University from December 1, 2022 to January 9, 2023 were retrospectively analyzed. The patients were divided into an infection group and a non-infection group according to whether they were infected with SARS-CoV-2. And the clinical data of two groups were collected and compared. Multiple linear regression analysis was used to explore the risk factors affecting the time of hospitalization. Results A total of 70 patients were enrolled in this study, including 36 (51.4%) males and 34 (48.6%) females at a median age of 61.0 (49.0, 66.8) years. There were 28 patients in the infection group and 42 patients in the non-infection group. The proportion of preoperative abnormal coagulation function and the risk of postoperative pulmonary infection in perioperative patients infected with SARS-CoV-2 were higher than those in the non-infection group (P<0.05). Subgroup analysis found that patients with preoperative SARS-CoV-2 infection were more likely to have pulmonary infection after surgery, but did not prolong the time of hospitalization or increase the risk of severe disease rate. The patients with postoperative SARS-CoV-2 infection had worse clinical prognosis, including longer time of hospitalization (P=0.004), higher ICU admission rate (P=0.000), higher lung infection rate (P=0.003) and respiratory failure rate (P=0.000). Multiple linear regression analysis showed that gender and extent of surgery were independent risk factors for prolonged hospitalization time. Conclusion Preoperative infection with SARS-CoV-2 Omicron variant will increase the risk of pulmonary infection, but it will not affect the clinical prognosis. However, postoperative infection with SARS-CoV-2 Omicron variant will still prolong the time of hospitalization, increase the ICU rate, and the risk of pulmonary complications.
Objective To explore, identify, and develop novel blood-based indicators using machine learning algorithms for accurate preoperative assessment and effective prediction of postoperative complication risks in patients with rheumatoid arthritis (RA) undergoing total knee arthroplasty (TKA). Methods A retrospective cohort study was conducted including RA patients who underwent unilateral TKA between January 2019 and December 2024. Inpatient and 30-day postoperative outpatient follow-up data were collected. Six machine learning algorithms, including decision tree (DT), random forest (RF), logistic regression (LR), support vector machine (SVM), extreme gradient boosting (XGBoost), and light gradient boosting machine (LightGBM), were used to construct predictive models. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), F1-score, accuracy, precision, and recall. SHAP values were employed to interpret and rank the importance of individual variables. Results According to the inclusion criteria, a total of 1 548 patients were enrolled. Ultimately, 18 preoperative indicators were identified as effective predictive features, and 8 postoperative complications were defined as prediction labels for inclusion in the study. Within 30 days after surgery, 453 patients (29.2%) developed one or more complications. Considering overall accuracy, precision, recall, and F1-score, the random forest model [AUC=0.930, 95%CI(0.910, 0.950)] and the extreme gradient boosting model [AUC=0.909, 95%CI(0.880, 0.938)] demonstrated the best predictive performance. SHAP analysis revealed that anti-cyclic citrullinated peptide antibody, C-reactive protein, rheumatoid factor, interleukin-6, body mass index, age, and smoking status made significant contributions to the overall prediction of postoperative complications. Conclusion Machine learning-based models enable accurate prediction of postoperative complication risks among RA patients undergoing TKA. Inflammatory and immune-related blood biomarkers, such as anti- cyclic citrullinated peptide antibody, C-reactive protein, and rheumatoid factor, interleukin-6, play key predictive roles, highlighting their potential value in perioperative risk stratification and individualized management.
