目的：分析原发性胆汁性肝硬化(PBC)患者的临床特征,以提高对该病诊治的认识。方法：分析17例PBC患者的一般资料、临床表现、生化指标、免疫学指标及病理学改变。结果：PBC主要累及中年女性，易合并干燥综合征（SS）。胆管酶升高及抗线粒体M2抗体阳性有助于本病诊断。治疗首选熊去氧胆酸，糖皮质激素、免疫抑制剂适用于合并SS者。结论：早期诊断、早期治疗PBC是防止发展为终末期肝硬化的关键。
ObjectiveTo compare the three-dimensional (3D) laparoscopic simulator with two-dimensional (2D) laparoscopic simulator in training of laparoscopic novices.MethodsBetween January 2018 and December 2019, surgical residents from Chinese PLA General Hospital were enrolled, which were grouped into 3D and 2D group. After receiving training program, novices in both two groups subject to performance examination, including bean-picking module, exchange module, transfer module, needle-manipulating module, and suture module. Times and errors were compared between the two groups for each module.ResultsA total of 16 novices in 3D group and 15 novices in 2D group were enrolled, and baseline characteristics including age, gender, major hand, glass wearing, laparoscopic experience, and shooting game experience were well balanced between the two groups (P>0.05). There were comparable times and errors between the two groups in terms of bean-picking module and exchange module (P>0.05). The time of transfer module and needle-manipulating module was not significant between the two groups (P>0.05), but novices in 3D group performed more precise than those in 2D group (P<0.05). In suture module, 3D group had shorter time (P=0.02) and higher accuracy (P=0.03).Conclusion3D laparoscopic simulator can shorten novice performance time in complex procedures, improve accuracy, and facilitate laparoscopic training.
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.