Endoscopic transforaminal lumbar interbody fusion (TLIF) offers substantial advantages in the management of degenerative spinal diseases, including accelerated postoperative recovery. However, its technical complexity and steep learning curve pose risks for nerve root injury. Optimizing nerve root protection in full-endoscopic facet-sparing TLIF (FE fs-TLIF) and full-endoscopic facet-resecting TLIF (FE fr-TLIF) is essential for enhancing surgical safety. This study aimed to improve the nerve root protection in FE fs-TLIF and FE fr-TLIF by optimizing cage glider selection and insertion techniques based on the specific cage shape—banana-shaped or bullet-shaped. The goal was to ensure safe cage positioning and mitigate nerve root injury during discectomy, endplate preparation, and cage insertion. These strategies were validated through cadaveric simulations and clinical implementation. In FE fr-TLIF utilizing bullet-shaped (straight) cages, one-tip and two-tip cage gliders effectively protected the traversing nerve root by facilitating medial cage entry, thereby minimizing irritation of the exiting nerve root. Conversely, in FE fr-TLIF with banana-shaped cages, the lateral tilt of the cage holder during implantation required the use of a two-tip cage glider to protect the traversing and exiting nerve roots, thereby mitigating the potential risk of nerve irritation. In FE fs-TLIF, a one-tip cage glider is preferred for safeguarding the exiting nerve root, while the traversing root is inherently protected by the medial wall of the facet joint. The use of a two-tip cage glider in FE fs-TLIF can cause injury to the nerve root during glider insertion. In addition to the selection of cage gliders, improper cage insertion steps can also contribute to postoperative neurapraxia. The appropriate selection of cage gliders with corresponding insertion techniques is critical for nerve root protection in endoscopic TLIF. Tailoring these choices to the specific approach (FE fs-TLIF or FE fr-TLIF) and cage type (banana or bullet) enhances surgical safety and clinical outcomes.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective To explore the clinical efficacy of biplane double-supported screw fixation(BDSF)in the treatment of femoral neck fracture(FNF)and the influencing factors of surgical failure.Methods A total of 360 patients with FNF hospitalized in our hospital from November 2022 to May 2024 were selected as the research objects.According to the random number table method,the patients were divided into the observation group[application of BDSF under the multi-disciplinary treatment(MDT)and green channel mode]and the control group[application of cannulated compression screw(CCS)fixation under the MDT and green channel mode],with 180 cases in each group;According to the failure of surgical treatment or fixation in the observation group,the patients were further divided into the surgical failure group(n=50)and effective surgery group(n=130).The risk factors were analyzed by multivariate Logistic regression.The establishment and fitting of the model were analyzed by Logistic regression.The discrimination,prediction accuracy and clinical value of the model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)curve,respectively.Results Compared with the control group,the observation group had shorter operation time and hospitalization time(P<0.05),less intraoperative blood loss and fewer intraoperative fluoroscopy times(P<0.05),lower proportion of patients with avascular necrosis of femoral head and fixation failure(P<0.05),and higher Harris hip score 24 months after operation(P<0.05).Garden classification,fracture line location,reduction quality and preoperative traction were the independent influencing factors of surgical failure(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of the model to predict the risk of surgical failure was 0.867(95%CI:0.751 to 0.946).The calibration curve analysis results showed that the predicted probability of the model was approximately equal to the actual probability,with a Brier value of 0.095.DCA analysis results showed that the threshold probability of the model was 0.1 to 0.9,indicating a high net profit.Conclusion BDSF has a good effect in FNF surgery,which can shorten the operation time and hospitalization time,reduce the number of intraoperative fluoroscopy and bleeding,which is more conducive to hip joint function recovery.Garden classification,fracture line location,reduction quality,and preoperative traction are all the independent influencing factors for surgical failure.

To analyze the standard establishment approach and compilation rationale for metallic pharmaceutical packaging standard development in the 2025 edition of the Pharmacopeia of the People's Republic of China.This article systematically explained the background and process of establishing the guiding principles for metallic materials and containers used in pharmaceutical packaging in the Chinese Pharmacopoeia through basic information,relevant domestic and international standards,the establishment of key quality attributes of metallic pharmaceutical packaging materials,and the construction of metallic pharmaceutical packaging material standards.The newly established guidelines,the Pharmacopeia of the People's Republic of China 9625,prioritized product critical quality attributes(CQAs)and real-world applicability.This dual emphasis on rigidity and adaptability enhances drug safety,meets the regulatory requirements,and promotes the globalization and scientific advancement of China's pharmaceutical packaging industry.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To investigate the efficacy of extracorporeal shock wave therapy(ESWT)combined with ultrasound-guided corticosteroid injection(CSI)for the treatment of primary frozen shoulder(PFS).Methods Ninety-nine patients with PFS who visited the pain department of the Affiliated Hospital of Xuzhou Medical University between April 2024 and July 2024 were enrolled and randomly divided into three groups according to the randomized number table method:ESWT group(T group),CSI group(I group),and combined treatment group(TI group),with 33 patients in each group.Visual analogue scale(VAS)scores,shoulder range of motion(SROM),and Constant-Murley shoulder scores(CMS)were recorded before treatment and at 1,4,8,and 12 weeks post-treatment.Additionally,the patients'Ascens Insomnia Scale(AIS)scores were recorded before treatment and 1 month after treatment.The occurrence of adverse effects and the use of remedial medications during the treatment period were also documented.Results Compared with pre-treatment,VAS scores decreased,and SROM and CM scores improved at all time points after treatment in all three groups(P<0.05).AIS scores also decreased in all three groups at 1 month post-treatment(all P<0.05).Intergroup comparisons revealed that the TI group exhibited signifi-cantly lower VAS pain scores,greater SROM(forward flexion and backward extension),and higher CM scores at 4,8,and 12 weeks post-treatment compared to the T and I groups(Bonferroni-corrected P<0.05).No statistically significant differences were observed between the T and I groups for these measures(Bonferroni-corrected P>0.05).Additionally,there were no statistically significant differences in AIS scores or adverse effects occurrence among the three groups at 1 month post-treatment(P>0.05).Conclusion The combined treatment demonstrated greater efficacy compared to trigger point extracorporeal shock wave therapy alone and periapical steroid injection alone,resulting in significant improvement in the patient's clinical symptoms and quality of life.

Gastric cancer is a malignant tumor with high prevalence worldwide and limited therapeutic options.Chimeric antigen receptor T-cell(CAR-T)therapy has emerged as a promising approach for gastric cancer treatment;however,its application faces substantial challenges.This review provides comprehensive summary of the recent advances in CAR-T cell therapy for gastric cancer,systematic analysis of critical break throughs and core challenges from target discovery to clinical translation,and outlining of future perspectives.We describe the criter-ia for ideal target selection and highlight the current research landscape of major targets,including CLDN18.2 that demonstrated efficacy,and targets facing distinct challenges,including HER-2,CEA,EpCAM,and MUC1.This review also finely dissects three central barriers restrict-ing CAR-T cell efficacy,and discusses corresponding countermeasures:overcoming the immunosuppressive tumor microenvironment through strategies such as local delivery,armored CAR-T cells,and combination therapies;engineering approaches including affinity modula-tion and logic-gate designs to mitigate on-target/off-tumor toxicity;and optimization of manufacturing processes and reduction of costs via early leukapheresis,rapid production platforms,and universal CAR-T cell strategies.Future multidimensional,integrative,and innovative strategies are pivotal for achieving comprehensive break throughs in CAR-T cell therapy for solid tumors.

Objective:To evaluate the diagnostic efficacy of artificial intelligence-assisted cytology in detecting esophageal cancer and precancerous lesions.Methods:Outpatients who were scheduled for endoscopic examination at the Second Affiliated Hospital of Baotou Medical College from June 21, 2021 to May 12, 2022 were selected. Artificial intelligence-assisted cytology and painless gastroscopy (add narrow-band imaging and biopsy pathology when need) (hereinafter referred to as gastroscopy) were performed. The detection rates of esophageal cancer and precancerous lesions by the two methods were compared. Taking gastroscopy as the standard, sensitivity, specificity, positive predictive value, negative predictive value of artificial intelligence-assisted cytology diagnosis were calculated to verify its diagnostic efficacy.Results:A total of 849 patients meeting the inclusion criteria were included. Artificial intelligence-assisted cytology detected 365 cases of esophageal lesions, with a detection rate of 42.99%. One hundred cases of esophageal cancer, precancerous lesions, and atypical squamous cell hyperplasia were detected, with a detection rate of 11.78%. Gastroscopy detected 281 cases of esophageal lesions, with a detection rate of 33.10%. Eighty cases of esophageal cancer and precancerous lesion were detected, with a detection rate of 9.42%. The sensitivity and specificity of artificial intelligence-assisted cytology diagnosis were 81.25% (65/80) and 95.45% (734/769), respectively. The positive predictive value was 65.00% (65/100), and the negative predictive value was 98.00% (734/749). The area under the receiver operating characteristic curve of artificial intelligence-assisted cytology in dectecting esophageal cancer and precancerous lesions was 0.785.Conclusion:Artificial intelligence-assisted cytology demonstrates relatively high sensitivity and specificity in diagnosing esophageal cancer and precancerous lesions, exhibiting good diagnostic performance for esophageal lesions.

The coil adverse events in the U.S.Food and Drug Administration Manufacturer and User Facility Device Experience(MAUDE)database from January 2021 to June 2024 were analyzed retrospectively.The risks of coils during the clinical application and their causes were explored with hospital survey and expert demonstration in Shandong Province.Some improving measures were put forward for the safe use of coils,including implementing the main responsibility of the registrant,enhancing the professional skills of the using institutions and strengthening the supervision of the supervisory authorities.[Chinese Medical Equipment Journal,2025,46(6):83-87]

Objective To explore the clinical efficacy of biplane double-supported screw fixation(BDSF)in the treatment of femoral neck fracture(FNF)and the influencing factors of surgical failure.Methods A total of 360 patients with FNF hospitalized in our hospital from November 2022 to May 2024 were selected as the research objects.According to the random number table method,the patients were divided into the observation group[application of BDSF under the multi-disciplinary treatment(MDT)and green channel mode]and the control group[application of cannulated compression screw(CCS)fixation under the MDT and green channel mode],with 180 cases in each group;According to the failure of surgical treatment or fixation in the observation group,the patients were further divided into the surgical failure group(n=50)and effective surgery group(n=130).The risk factors were analyzed by multivariate Logistic regression.The establishment and fitting of the model were analyzed by Logistic regression.The discrimination,prediction accuracy and clinical value of the model were evaluated by receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)curve,respectively.Results Compared with the control group,the observation group had shorter operation time and hospitalization time(P<0.05),less intraoperative blood loss and fewer intraoperative fluoroscopy times(P<0.05),lower proportion of patients with avascular necrosis of femoral head and fixation failure(P<0.05),and higher Harris hip score 24 months after operation(P<0.05).Garden classification,fracture line location,reduction quality and preoperative traction were the independent influencing factors of surgical failure(P<0.05).The ROC curve analysis showed that the area under the curve(AUC)of the model to predict the risk of surgical failure was 0.867(95%CI:0.751 to 0.946).The calibration curve analysis results showed that the predicted probability of the model was approximately equal to the actual probability,with a Brier value of 0.095.DCA analysis results showed that the threshold probability of the model was 0.1 to 0.9,indicating a high net profit.Conclusion BDSF has a good effect in FNF surgery,which can shorten the operation time and hospitalization time,reduce the number of intraoperative fluoroscopy and bleeding,which is more conducive to hip joint function recovery.Garden classification,fracture line location,reduction quality,and preoperative traction are all the independent influencing factors for surgical failure.