Objective To compare and analyze the changes in the use of lung cancer therapeutic drugs before and after the national initiation of health insurance negotiations, and to study the impact of a series of policies on the use of lung cancer drugs. Methods Descriptive statistical methods were used analyze the basic situation of lung cancer patients and the changes of corresponding therapeutic drugs in Peking University People's Hospital from 2014 to 2020, as well as to the hospital procurement data of lung cancer therapeutic drugs in the database of the Chinese Medicine Economic Information. Results From 2014 to 2020, the total cost per capita of lung cancer patients showed a trend of first increasing and then decreasing, increasing before the national drug negotiation and gradually decreasing after the negotiation. After 2017, the use of small ATC categories such as VEGF/VEGFR inhibitors and EGFR tyrosine kinase inhibitors increased significantly, along with a rise in the number of monoclonal antibody varieties. The DDDs of osimertinib, anlotinib, alectinib, crizotinib and other drugs in the medical insurance list increased significantly, and the average daily cost decreased significantly. Conclusion The number of hospitalization days for lung cancer patients had continued to shorten in recent years, and the structure of drug use had changed significantly. The adjustment of the medical insurance catalog had led to more innovative lung cancer drugs showing the trend of volume up and price down.

Objective To optimize the preparation process of subunit influenza vaccine bulk solution, and provide reference for improving the virus titer, efficacy and safety of quadrivalent subunit influenza vaccine.MethodsThe inoculation and culture conditions(dilution factor, culture time, culture temperature), ultrafiltration concentration factor, and virus lysis conditions(lysis time, lysis temperature, sucrose concentration) for four types of influenza viruses(H1N1, H3N2, BY, BV)were optimized, and the effects of the above key influencing parameters on influenza virus proliferation were investigated.ResultsThe optimal dilution factors of the viruses were 10~(-3)-10~(-6)(inoculation concentration: 2. 0-5. 0 lgEID_(50)). The most suitable culture time was 48 h for influenza A H1N1 and H3N2 strains, and 60 h for influenza B BY and BV strains, with33 ℃ identified as the optimal temperature for all subtypes. The average protein recovery rate reached 84% after 20-fold ultrafiltration concentration. Triton N-101 achieved optimal lysis efficiency at a final concentration of 1. 0%, with an optimal lysis duration of 4 h. The optimal sucrose density range for collecting antigens was 10%-20%.ConclusionThrough the process optimization study of the subunit influenza vaccine, the vaccine has higher antigen purity and fewer impurities, which further improves the quality of the vaccine bulk solution while demonstrating significant immunogenicity and safety advantages.

Objective:To explore the application effects of a four-in-one blended teaching model integrating artificial intelligence, virtual reality, 3D printing, and case-based learning (CBL) in the clinical teaching of spinal tumors.Methods:We divided 89 students on training in the Department of Orthopedics of Peking University Third Hospital from September 2022 to August 2024 into control group ( n=47) and experimental group ( n=42). The control group adopted traditional teaching, and the experimental group adopted the four-in-one teaching model. At the end of clinical teaching, an artificial intelligence test and a questionnaire survey were administered to the students to evaluate the teaching effects. The two groups were compared using the independent samples t-test with the use of SPSS 27.0. Results:The experimental group was superior to the control group with significant improvements in the answer accuracy rate (66.67%, χ2=9.44, P=0.002), learning interest [(4.50±0.63), t=2.75, P=0.007], theoretical knowledge mastery [(4.64±0.69), t=7.74, P<0.001], clinical thinking [(4.48±0.71), t=9.08, P<0.001], practical skills [(4.13±0.89), t=2.69, P=0.009], scientific research innovation [(4.71±0.59), t=9.28, P<0.001], teacher-student interaction [(4.74±0.54), t=12.76, P<0.001], and classroom attention [(4.69±0.52), t=12.64, P<0.001]. At the same time, the students in the experimental group put forward numerous constructive feedback. Conclusions:The four-in-one blended teaching model combining artificial intelligence, virtual reality, 3D printing, and CBL can help undergraduate medical students better recognize and diagnose spinal tumors with a correct clinical thinking path, achieving good teaching effects.

Objective:To explore the advantages of individualized 3D-printed vaginal cylinder template-guided interstitial brachytherapy (3D-p-VC-ISBT) in locally advanced cervical cancer, aiming to provide reference for clinical adaptive brachytherapy.Methods:Clinical data of 20 patients with locally advanced cervical cancer admitted to Renji Hospital affiliated to Shanghai Jiao Tong University School of Medicine from September, 2021 to August, 2023 were retrospectively analyzed. The median age was 54 years old (32-69 years). Among them, 3 patients were diagnosed with adenocarcinoma and 17 cases of squamous cell carcinoma. According to the treatment method, all patients were divided into intracavitary brachytherapy group (ICBT-plan group, n=10) and 3D-p-VC-ISBT group (3D-p-VC-ISBT treatment-plan group, n=10). A pretreatment plan was designed for each patient undergoing 3D-p-VC-ISBT. The pretreatment plans were formed as the pretreatment-plan group. Dose volume histogram was used to evaluate dose distribution of the targets and organs at risk (OAR). Comparison between two groups was analyzed by Mann-Whitney test and comparison among three treatment plans (ICBT, 3D-p-VC-ISBT treatment-plan and 3D-p-VC-ISBT pretreatment-plan) was analyzed by Kruskal-Wallis test. Results:The mean D 90rel (representing the dose received by 90% volume of the target area divided by the prescription dose) of high-risk clinical target volume (HR-CTV) in 3D-p-VC-ISBT, pretreatment-plan and ICBT-plan groups were 100.47%, 104.66% and 85.91%, respectively. The conformity indexes were 0.66, 0.72 and 0.68, respectively. There was no significant difference in D 0.01 cm3, D 2 cm3 and D 5 cm3 of bladder, rectum and sigmoid colon among the three groups (all P>0.05). For the 3D-p-VC-ISBT treatment-plan group, the D 2 cm3 values of the small intestine at 6 Gy and 7 Gy prescription doses were 169.51 cGy and 111.93 cGy respectively, which were superior to those of the ICBT-plan group (343.07 cGy at 6 Gy prescription, P<0.01). Conclusions:Individualized 3D-p-VC-ISBT is superior to ICBT in terms of dose distribution of HR-CTV, and it can adaptively adjust the insertion plan according to changes in tumor volume and position, making the operation safer and more efficient.

Objective To construct a machine learning algorithm using biomarkers to predict the risk of sepsis-induced respiratory tract infection in order to assist clinicians in making decisions.Methods Based on the diagnostic criteria of the research subjects,and the basic clinical data of the participants were collected.The data set was randomly split into a training set(80％)and a validation set(20％).Use feature filtering algorithms to select the best subset of variables from the training set,and use this subset to construct random forest(RF),extreme gradient boosting(XGBoost),adaptive boosting(AdaBoost),Logistic regression(LR),ridge regression(Ridge),and support vector machine(SVM)classifiers.Then,evaluate the model's generalization ability using a validation dataset.Evaluate the performance of the model comprehensively through accuracy,precision,recall,and area under the curve.Results A total of 377 patients with sepsis-induced respiratory tract infection(case group)and 564 patients with respiratory tract infection(control group)were included,and 17 variables were found to be suitable for the initial model construction.Using feature screening algorithm,we found that the predictive performance of tree models(RF,XGboost,and AdaBoost)was better than that of linear models(LR,SVM,and Ridge).The AdaBoost model included 14 biomarkers,and its prediction accuracy was better than RF,XGBoost,LR,SVM,Ridge models,its precision,recall,accuracy and area under the curve were 0.90,0.84,91.75％and 0.950,respectively.The Ridge model had the worst prediction performance,with an accuracy of 82.97％,its precision,recall and area under the curve were 0.90,0.72 and 0.835 respectively.Conclusion In this study,six predictive models of sepsis-induced respiratory tract infection were developed,among which AdaBoost model could more accurately predict the risk of sepsis-induced respiratory tract infection and help to assist clinical decision-making.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Conducting drug clinical trials can enhance hospitals' clinical research capabilities and influence,making it particularly important to improve the management efficiency of trial projects through multiple approaches.Remote monitoring sys-tems enable clinical researchers to remotely access hospital diagnosis and treatment-related systems online,allowing timely,se-cure,and standardized review of subjects' source data and key data traceability.These systems monitor the progress of drug clini-cal trial projects,control project risks to ensure compliance with laws,regulations,trial protocols,and standard operating proce-dures,and safeguard the rights of subjects.In the internet era,remote monitoring systems complement on-site monitoring,enhan-cing hospitals' risk resilience in drug clinical trials while improving efficiency and reducing costs.This paper analyzes recent do-mestic and international laws,regulations,policy directions,and research progress in remote monitoring for clinical trials,dis-cusses current challenges and shortcomings,and provides recommendations and insights for the future informatization development of remote monitoring systems in hospital drug clinical trials.

Objective To observe the ultrasonic manifestations of abdominal pregnancy.Methods Ultrasonic and clinical data of 18 pregnant woman with abdominal pregnancy diagnosed by operation and pathology were retrospectively analyzed.Results Among 15 cases in first trimester,no preoperative ultrasonic diagnosis of abdominal pregnancy was obtained.Ultrasound showed no gestational sac in uterine cavity but mass in pelvic cavity,which located in the adnexal region in 8 cases,in the front and the post of uterus each in 2 cases,while in the adnexal region and the front of uterus in 1 case,in the post of the cervix in 1 case,and closed to uterine wall in 1 case,without obvious tubal echo around mass in all 15 cases.There were 2 cases of abdominal pregnancy in the second trimester,which were first diagnosed with ultrasound at 13+6 weeks and 21 weeks,with gestational sac located on the left side of uterus and behind the uterus,respectively.One case of abdominal pregnancy in the third trimester was first diagnosed with ultrasound at 35 4 weeks,with gestational sac located on the right side of uterus.Ultrasonic manifestations of the above three cases all showed gestational sac located outside the uterus without myometrium wrapping around the gestational sac nor placenta implanted in uterus,while echoes of fluid accumulation were detected around fetus.The ultrasonic diagnosis rate of abdominal pregnancy was 16.67％(3/18).Conclusion In the first trimester,if the ectopic pregnancy mass was large or the gestational sac located adjacent to the cervix,anterior or posterior to uterus and on the uterine wall,also no fallopian tube-like echo around the mass,the possibility of abdominal pregnancy should be considered.Ultrasonic manifestations of abdominal pregnancy in the second and third trimester present as gestational sac outside uterine cavity without wrapping uterine muscle layer around,no placenta implantation in uterine cavity,as well as echoes of fluid accumulation around fetus.Transabdominal combined with transvaginal ultrasound could improve diagnostic rate of abdominal pregnancy.

A 38-year-old male patient with ankylosing spondylitis received subcutaneous injection of adalimumab 40 mg once every 2 weeks. After 21 months of medication, the patient developed fever, fatigue, swelling, and pain in the right neck lymph node and throat. Laboratory tests showed that the tuberculin test was strong positive, mycobacterium tuberculosis γ-interferon release test was 1 911.98 ng/L, and erythrocyte sedimentation rate was 27 mm/1 h. The biopsy of right neck lymph node showed granulomatous inflammation of the lymph node. The patient was diagnosed with cervical lymph node tuberculosis, which was considered to be related to adalimumab. The drug was stopped and anti-tuberculosis treatments were given. The next day, the patient′s temperature returned to normal. After 5 days, the swelling and pain of cervical lymph nodes and throat, and the fatigue were relieved gradually. After 45 days, the above symptoms in the patient disappeared.

A 38-year-old male patient with ankylosing spondylitis received subcutaneous injection of adalimumab 40 mg once every 2 weeks. After 21 months of medication, the patient developed fever, fatigue, swelling, and pain in the right neck lymph node and throat. Laboratory tests showed that the tuberculin test was strong positive, mycobacterium tuberculosis γ-interferon release test was 1 911.98 ng/L, and erythrocyte sedimentation rate was 27 mm/1 h. The biopsy of right neck lymph node showed granulomatous inflammation of the lymph node. The patient was diagnosed with cervical lymph node tuberculosis, which was considered to be related to adalimumab. The drug was stopped and anti-tuberculosis treatments were given. The next day, the patient′s temperature returned to normal. After 5 days, the swelling and pain of cervical lymph nodes and throat, and the fatigue were relieved gradually. After 45 days, the above symptoms in the patient disappeared.