Objective To review the progress in the features, early cl inical outcomes, and cl inical appl ication of axial lumbar interbody fusion (AxiaLIF) for the minimally invasive treatment of lumbosacral degenerative diseases. Methods The l iterature about the features, early cl inical outcomes, and cl inical appl ication of AxiaLIF for the minimally invasive treatment of lumbosacral degenerative diseases in recent years was reviewed. Results Almost 9 000 procedures performed globally in recent years, AxiaLIF has shown its safety and effectiveness because of high fusion rates, short hospital ization days, and less iatrogenic compl ications in comparison with standard fusion procedures. ConclusionPostoperative long-term outcomes, biomechanics stabil ity, and extended appl ication of AxiaLIF still need a further study,though it suggests an original minimally invasive treatment of lumbosacral degenerative diseases.
目的 观察酒石酸布托啡诺与芬太尼合用于术后静脉自控镇痛（PCIA）的效果及最佳混合比例。 方法 2010年8月－2011年1月100例妇科手术患者，随机分为5组，每组20例。均全身麻醉术后采用负荷量+持续背景剂量+PCIA方案镇痛。根据不同配方分为F组：芬太尼1 mg+生理盐水至100 mL；B组：酒石酸布托啡诺10 mg+生理盐水至100 mL；BFⅠ组：芬太尼0.6 mg+酒石酸布托啡诺3 mg+生理盐水至90 mL；BFⅡ组：芬太尼0.5 mg+酒石酸布托啡诺5 mg+生理盐水至100 mL；BFⅢ组：芬太尼0.3 mg+酒石酸布托啡诺6 mg+生理盐水至90 mL。观察术后各时点视觉模拟评分（VAS）及镇静评分，患者满意度以及不良反应情况。 结果 术后早期BFⅢ组和B组VAS评分大于F组；镇静评分B组大于F组；B组满意度优良率小于其余各组；恶心呕吐发生率F组高于BFⅠ组及BFⅡ组。 结论 酒石酸布托啡诺和芬太尼合用于PCIA，镇痛效果确切，不良反应发生率低。推荐配比：BFⅠ组和BFⅡ组。
Objective To analyze the risk factors for postoperative cognitive confusion in a surgical intensive care unit. Methods A total of 388 consecutive patients in Surgical Intensive Care Unit of General Hospital of PLA were retrospectively studied. We posed clinical questions according to the patients with older age and large dosage corticosteroid. Using “Postoperative cognitive confusion” and“Intensive Care” as key words, we searched for evidence from MEDLINE (1968-2004). Results We found 3.1% (10/388) of the patients developed postoperative cognitive confusion. Of the 10 postoperative cognitive confusion patients, 9 were over 65 years old. 6.6% (9/136) of the patients (≥ 65 years old) developed postoperative cognitive confusion. While 0.4%(1/252) of the patients (＜65 years old) developed postoperative cognitive confusion. Older age (≥ 65 years old) may induce more postoperative cognitive confusion (P＜0.05). While 7.0% (5/71) of the patients treated by large dose corticosteroids (≥1 000 mg) developed postoperative cognitive confusion. And 1.65% (5/317) of the patients received corticosteroid with large dosage (＜1 000 mg) developed postoperative cognitive confusion. Large dosage corticosteroid (≥1 000 mg) may induce more postoperative cognitive confusion (P＜0.05). Conclusion Older age (≥ 65 years old) and high dose corticosteroid (≥1 000 mg) may be the two main risk factors for postoperative cognitive confusion.
Objective To explore the application of combined optimized machine learning algorithm for predicting the risk model of postoperative infectious complications of gastric cancer and to compare the accuracy with other algorithms, so as to find reliable biomarkers for early diagnosis of postoperative infection of gastric cancer. Methods The clinical data of 420 patients with gastric cancer at the Third Affiliated Hospital of Anhui Medical University from May 2018 to April 2023 were retrospectively analyzed and the patients were randomly divided into training set and validation set. Univariate analysis was used to determine the risk factors of postoperative infectious complications. Six conventional machine learning models are constructed using the training set: linear regression, random forest, SVM, BP, LGBM, XGBoost, and MGA-XGBoost model. The validation set was used to evaluate the seven models through evaluation indicators such as ACC, precision, ROC and AUC. Results Postoperative infectious complications were significantly correlated with age, operation time, diabetes, extent of resection, combined resection, stage, preoperative albumin, perioperative blood transfusion, preoperative PNI, LCR and LMR. Among the seven machine learning models, the MGA-XGBoost model performed best. Among the seven machine learning models, the MGA-XGBoost model performed best, with AUC of 0.936, ACC of 0.889, recall of 0.6, F1-score of 0.682, and precision of 0.79 on the validation set. Diabetes had the greatest influence on the internal structure of the model. Conclusion This study proves that the MGA-XGBoost model incorporating comprehensive inflammation indicators can predict postoperative infectious complications in patients with gastric cancer.
ObjectiveTo investigate the clinical significance of abnormal confluence of common bile duct (CBD) and pancreatic duct. MethodsFortyfive cases of biliary pancreatic confluence portion of cadavers were dissected and observed with microscope. ResultsThe lower end of CBD inserted normally into the medial posterior portion of descending duodenum with oblique angle (41.4±5.3)° and safeguarded by the sidelong wrinkle formed by mucous membrane of duodenum. In common, pancreatic duct ampulla inserted into CBD with oblique angle (28.5±7.9)° and jointed CBD in the medial wall of dudenum. The length ampulla of Vater was about 0.5-1.5 cm. The Vater’s ampulla was dilated obviously. ConclusionThe result indicates that pancreatic duct and CBD joint with a sharp angle. A number of abnormal anatomic factors may change the relation of oblique angle, and lead to the pancreatitis.