OBJECTIVE To analyze the selection and rationales of comparators for pharmaceutical enterprises in their medical insurance access application， so as to provide a reference for promoting communication and consensus between enterprises and medical insurance authorities in this process. METHODS The application materials for drugs outside the catalogue that passed formal review published by the National Healthcare Security Administration from 2021 to 2025 were extracted， and then content analysis was used to systematically sort out relevant information of the declared drugs and comparators； the specific situations and rationales of pharmaceutical enterprises’ selection of comparators were analyzed. RESULTS A total of 1 341 declared drug documents were collected. Data analysis showed that 1 035 （77.18%） were submitted with positive comparators and 306 （22.82%） used blank comparators； 58 drugs （4.33%） took combination therapy as the reference， and 5 drugs （0.37%） referred to non-pharmacological （or non-single pharmacological） treatment regimens. Among competitive drugs declared by multiple enterprises， 50.00% of the enterprises submitted different comparators. A total of 4 basic conditions and 39 additional conditions were extracted as the rationales for selecting positive comparators. For blank comparators， 12 drug-related factors， 2 administrative factors， and 1 other factor were identified. More than 10% of the drugs did not state the rationale for comparator selection， and over 44% of drugs using blank comparators provided only one justification. CONCLUSIONS Pharmaceutical enterprises mainly select comparators based on their own interests in the medical insurance access application， and there are deficiencies in the adequacy and standardization of their selection basis and reasoning. It is recommended that enterprises follow the principled requirements of medical insurance authorities， and fully and normatively explain the reasons for selecting comparators in combination with the characteristics of their own products. Meanwhile， it is advisable to change the current open-ended statement form of selection reasons into a closed-ended answering mode， so as to highlight the priority of selection， standardize the declaration behavior of enterprises， and reduce communication divergences between the two parties.

Objective:To explore the characteristics of nutrition self-management of home-based elderly chronic obstructive pulmonary disease (COPD) patients based on user persona, in order to provide reference for accurate home nutrition management.Methods:From July to December 2023, home-based elderly COPD patients in the Department of Respiratory and Critical Care Medicine of General Hospital of Ningxia Medical University were selected by convenience sampling method. The Mini Nutritional Assessment, COPD Assessment Test, Modified Medical Research Council Dyspnea Scale, Physical Activity Rating Scale-3, COPD Patients Self-Management Scale were used to conduct questionnaire survey. The SPSS 26.0 software was used to analyze the influencing factors of patients′ self-management of nutrition. Attributes with statistical significance ( P<0.05) were extracted as labels, and the visualization of patients′ self-management of nutrition portraits was completed in the form of pictures combined with labels. Results:A total of 320 questionnaires were distributed, and 309 valid questionnaires were collected. Among 309 home-based elderly COPD patients, there were 210 males and 99 females with an age of (69.14 ± 6.84) years old. According to the data analysis results, three dimensions of natural attributes, social attributes, and behavioral tracks were artificially extracted to construct three types of nutritional self-management user persona for home-based elderly COPD patients, respectively namely blind management type, independent attempt type, and powerless type.Conclusions:There are great differences in the nutritional status and self-management of home-based elderly patients with COPD. Accurate management measures can be developed based on user persona analysis to improve their nutritional status.

Theory and technology of Medical Immunology are widely used in scientific research.Our teaching and research group uses experimental teaching of Medical Immunology as a platform to carry out practice of scientific research project-based experi-mental system among"5+3"integration students.By completing a mini-project research including experimental design-experimental operation-research article writing,students cultivated scientific research thinking and exercised scientific research practice ability,and generally reported that the course is very difficult,but after completing it,it is very rewarding.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.

Objective:To report the preliminary clinical exploration result of spatially fractionated radiation therapy (SFPT) using the pencil-beam-scanning (PBS) technique at a single center for the treatment of patients with bulky tumors.Methods:Data on the clinical characteristics, tumor characteristics, and dosimetric parameters were retrospectively collected from patients with bulky tumors at the Radiation Oncology Department, Ion Medical Center, First Affiliated Hospital of University of Science and Technology of China (i.e., the Hefei Ion Medical Center) from April 2024 to December 2024. Three-dimensional lattice radiotherapy (LRT) was primarily utilized in the SFRT, with multi-field robust optimization performed using pencil beam scanning. SFRT target volumes (STVs) were defined as 1.0 cm-diameter spheres. Primary observation indicators included the remission rate of tumor-associated symptoms, followed by the local tumor control rate.Results:A total of 12 patients were enrolled in this study, with a median age of 61 years (28-85 years). The primary tumors included hepatocellular carcinoma (six patients), sarcomas (three patients), and lung cancer (two patients). Eight patients received concurrent systemic therapy. The SFRT plans showed a median gross tumor volume (GTV) of 429.63 cm 3 (120.60-2 053.30 cm 3), a median STV number of 8 (3-20), a single-fraction dose to STVs of 10 GyE, a median irradiation quantity of 6 (3-8), a median STV of 8 cm 3 (3-20 cm 3), a median STV proportion of 2.09% (0.62%-3.30%), a median GTV corresponding to a single STV of 52.91 cm 3 (30.25-159.82 cm 3), and a median peak-to-valley dose ratio of 3.37 (2.29-7.60). All patients received conventionally fractionated proton therapy (CFPT), with a median prescription dose of 50 GyE (40-60 GyE). Furthermore, these patients showed a median follow-up time of 174 d (133-235 d), a remission rate of tumor-associated symptoms of 75%, and a local control rate of 100%. Four patients experienced grade 1-2 treatment-related adverse events, suggesting high overall tolerability of the patients. Conclusions:SFRT represents a promising technique with high control rates and tolerability for bulky tumors, providing the possibility for quick symptom relief and the control of tumor progression.

Objective:To evaluate the effectiveness of a patient-family-centered visiting model in improving caregivers'beliefs and attitudes toward visiting patients with mental disorders.Methods:A total of 140 caregivers of inpatients diagnosed with mental disorders according to the ICD-10 were randomly assigned to an intervention group(n=71)and a control group(n=69).The intervention group participated a patient-family-centered visiting model for 4 weeks,while the control group followed routine visitation.Caregivers' beliefs and attitudes were assessed using the Beliefs and Attitudes toward Visitation in ICU Questionnaire(BAVIQ)was used to assess the improvement in caregivers' beliefs and attitudes before the intervention and at the end of the 1st,2nd,3rd,and 4th weeks after the intervention.Results:Repeated measures ANOVA showed that the belief score and attitude score of the BAVIQ questionnaire in the intervention group were significantly higher than those in the control group(Ps＜0.05)across time points.Chi-square test further confirmed that the improvement in the intervention group were significantly bet-ter than in the control group(Ps＜0.05).Conclusion:The patient-family-centered visiting model is more effective than routine visiting model in improving the caregivers' visiting beliefs and attitudes in mental health settings.

Quality control of pediatric musculoskeletal ultrasound(MSKUS)must be integrated throughout the entire diagnostic process.Its core lies in a thorough understanding of the growth,development,and pathophysiological characteristics of the pediatric musculoskeletal system,mastery of MSKUS examination techniques,and the establishment of a systematic and comprehensive diagnostic framework.This review focuses on the core aspects of pre-examination,during examination,and post-examination to describe the quality control points and strategies for pediatric MSKUS.

Traditionally, type 2 diabetes was regarded as a chronic, progressive metabolic disorder, with its pathogenesis considered a continuous and irreversible process. However, with advancements in diabetes research, treatment options have become more diverse, offering the potential for " diabetes remission". Achieving remission holds substantial significance for patients, their families, and society as a whole. This article provides an overview of the latest research progress on the remission of type 2 diabetes mellitus.

Objective To explore the therapeutic effect of precise disconnection of pargastric varices guided by endoscopic ultrasound in the treatment of esophagogastric variceal bleeding.Method A retrospective analysis was conducted on 20 patients with cirrhosis esophagogastric variceal bleeding treated with endoscopic ultrasound-guided precise disconnection of pargastric varices from January 1,2024 to December 31,2024.The efficacy was analyzed.Result All 20 patients successfully completed the precise disconnection of pargastric varices under the guidance of endoscopic ultrasound.The injection of tissue gel combined with the placement of spring coils(14 cases)and the injection of tissue gel alone(4 cases)successfully blocked the pargastric varices.All patients did not experience perforation,esophageal and cardia stenosis,massive bleeding,septicemia,or ectopic embolization.One patient who received tissue gel alone had slight bleeding from the pargastric varices after surgery and improved after 3 days of treatment to reduce portal vein pressure.Another one patient who received tissue gel alone had a low-grade fever and normal body temperature after 3 days of anti-infection treatment.Conclusion Precise disconnection of pargastric varices under the guidance of endoscopic ultrasound has a good therapeutic effect on esophagogastric variceal bleeding,with fewer complications such as ectopic embolization,massive bleeding,infection,and perforation.However,close follow-up observation is still needed to address the issue of pargastric varices.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.