The construction of a training system for visiting physicians in the department of rare diseases in China is an important measure to improve the overall diagnosis and treatment capacity for rare diseases and address the critical challenge of insufficient knowledge and skills among clinicians in practice. This article systematically describes the visiting physician training system established by the Department of Rare Diseases at Peking Union Medical College Hospital. It summarizes the training objectives and positioning, design logic, and learning modules of the system, aiming to provide a reference for the construction of the specialized talent team for rare diseases in China.

ObjectiveTo explore the structural characteristics， biocompatibility， anti-inflammatory and antioxidant properties of hyaluronic acid （HA）/silk fibroin （SF） composite hydrogel scaffolds loaded with epigallocatechin gallate （EGCG）， and to provide a new material basis for the treatment of periodontitis. MethodsThe composite hydrogel scaffolds were constructed by cross-linking HA and SF and loaded with EGCG. The water absorption rate， degradation property and material characteristics were detected by scanning electron microscopy. The cytocompatibility and anti-inflammatory and antioxidant properties were evaluated by in vitro experiments. ResultsThe EGCG-loaded scaffolds exhibited a porous network structure and desirable swelling properties. In vitro experiments demonstrated that the scaffolds possessed good biocompatibility， along with the ability to inhibit the expression of inflammatory factors and scavenge reactive oxygen species. ConclusionThe HA/SF-EGCG composite scaffolds have excellent biocompatibility and dual functional activities of anti-inflammatory and antioxidant， providing a new strategy for improving the clinical treatment effect of periodontitis.

With the widespread application of low-dose computed tomography (CT), the detection rate of multiple lung cancers (MLCs) is gradually increasing. The diagnosis and treatment of MLCs have become a major challenge in clinical practice in thoracic surgery and oncology. In April 2025, the Lung Cancer Professional Committee of the China Anti-Cancer Association (CACA) organized multidisciplinary experts from both domestic and international fields to release the first edition of the CACA Expert Consensus on the Diagnosis and Treatment of Multiple Lung Cancers, providing systematic recommendations for the diagnostic system, molecularassessment strategies, and surgical and non-surgical management of MLCs. This article provides a detailed interpretation of the core content of this consensus and, by incorporating the latest research progress in the field, delves into the pathogenesis, precise diagnostic strategies, and individualized treatment pathways for multiple lung cancers, aiming to offer a more comprehensive reference for clinical practice.

OBJECTIVE To develop and validate interpretable machine learning models for predicting the risk of medication-related osteonecrosis of the jaw （MRONJ） and surgical outcomes， thereby providing quantitative support for MRONJ risk assessment and treatment decision-making.METHODS Two study cohorts were established. Cohort A adopted a nested case-control study design to develop a predictive model for the risk of MRONJ onset. Cohort B comprised patients with MRONJ from Cohort A who underwent surgical treatment and met the follow-up eligibility criteria， and employed a prospective follow-up cohort study design to develop a predictive model for the efficacy of MRONJ surgery. After missing-data processing， variable standardization， and encoding， predictive features were selected using the least absolute shrinkage and selection operator （LASSO） regression， and collinearity was assessed using the variance inflation factor （VIF）. Random Forest （RF）， eXtreme Gradient Boosting （XGB）， Multi-layer Perceptron （MLP）， Support Vector Machine （SVM）， and Gaussian Naive Bayes （NB） models were subsequently developed using the selected features. Hyperparameter optimization and internal performance evaluation were performed using two-level nested cross-validation repeated 20 times. In Cohort B， the synthetic minority over-sampling technique （SMOTE） was applied within the inner training folds to address class imbalance. Model performance was comprehensively evaluated using the receiver operating characteristic （ROC） curve， the precision-recall （PR） curve， calibration curve， and decision curve analysis （DCA）. Shapley additive explanations （SHAP） were used to quantify the relative contributions of individual clinical features to model predictions.RESULTS Seven clinical features， including alkaline phosphatase and tooth extraction， were retained for Cohort A； whereas eight clinical features， including age and duration of medication use， were retained for Cohort B. In Cohort A， the area under the ROC curve， the area under the PR curve， Brier score， sensitivity， and specificity of the RF model were 0.94， 0.92， 0.09， 0.92， and 0.85， respectively； the corresponding values in Cohort B were 0.93， 0.93， 0.12， 0.83， and 0.93， respectively. The results of calibration curves and DCA indicated that the RF models achieved favorable calibration and clinical net benefit， with VIF values for all variables below 5. SHAP visualization results showed that alkaline phosphatase， tooth extraction， and cumulative drug dose made substantial contributions to MRONJ risk prediction in Cohort A， whereas age， duration of medication use， and MRONJ stage contributed substantially to surgical outcome prediction in Cohort B.CONCLUSIONS The RF-based models for predicting MRONJ risk and surgical outcomes demonstrated good discrimination， accuracy of probabilistic predictions， and potential clinical utility during internal validation. These models may provide decision support for comprehensive MRONJ risk management and individualized clinical decision-making. However， external validation in independent， multicenter， and geographically diverse cohorts is still required.

Objective To analyze the clinical and epidemiological characteristics of influenza A(H3N2) in Tangshan City, Hebei Province, from 2023 to 2025, and to provide a scientific basis for precise prevention and control of local influenza. Methods The influenza-like cases and influenza outbreak cases in the influenza surveillance sentinel hospitals in Tangshan City from January 2023 to December 2025 were included in this study. The clinical characteristics and epidemic characteristics of H3N2 influenza patients were analyzed by descriptive epidemiological methods and chi-square test. Results A total of 11 567 influenza case samples were tested in the study, with a positive rate of 9.34% (1 080/11 567). Influenza A (H3N2) remained the predominant circulating subtype throughout the study period. January 2023 to February 2023 marked the tailing end of the previous season’s H3N2. Then, a minor peak dominated by H1N1 occurred from March to June, and H3N2 circulated again from October to December, peaking in December. From September 2024 to December 2024, H1N1 and H3N2 circulated concurrently, with H3N2 as the dominant strain, peaking in January of the following year. From March 2025 to September 2025, influenza activity remained at low level, and activity began to rise in October, with H1N1 peaking in November before declining, and H3N2 becoming the dominant strain in December. H3N2 mainly occurred in the 5-14 years old group. Cases in the 0–4-year-old group were primarily characterized by gastrointestinal symptoms, with high fever being common. Cases in the 5–59-year-old group were primarily characterized by systemic and respiratory symptoms, with better clinical outcomes. Cases aged 60 and older exhibited the highest rates of hospitalization, severe illness, and incidence of complications. Conclusion From 2023 to 2025, the influenza virus in Tangshan City, Hebei Province is dominated by influenza A (H3N2). The epidemic is characterized by a peak incidence during autumn and winter, co-circulation with H1N1, and fluctuations during the peak period. It is necessary to pay attention to the clinical management and prevention and control of influenza A (H3N2) in infants and the elderly.

Objective To systematically evaluate the factors affecting taste alteration in patients undergoing cancer chemotherapy.Methods PubMed,Cochrane Library,Web of Science,CINAHL,Embase,CBM,CNKI,WanFang Data and VIP were searched from the establishment until August 1,2024.The retrieved literature was independently screened,evaluated and the data were extracted by 2 researchers,and statistical analysis was performed using Stata 17.0 software.Results A total of 18 studies were included,involving 4 686 patients.The incidence of taste changes is 73.46％.Totally 9 influencing factors were extracted through quantitative analysis,including oral mucositis(OR=1.98),dry mouth(OR=1.82),nausea(OR=3.05),loss of appetite(OR=2.41),use of triple antiemetic drugs(OR=2.45),gynecological cancers(OR=0.67),lung cancer(OR=0.57),paclitaxel types of chemotherapy d rugs(OR=2.86),and smoking(β=9.38).Conclusion The alteration of taste in cancer chemotherapy patients is in-fluenced by multiple factors.Nurses should regularly and dynamically assess changes in taste and implement individualized and refined nursing interventions in clinical practice to prevent or delay the development of taste alterations,thereby improving patients' quality of life and treatment adherence.

Objective:To establish a set of reasonable,reliable and easy-to-operate evaluation index system for the clinical application of ventilators,so as to carry out all-round clinical evaluation for application of ventilators.Methods:A research group on the evaluation index system for the clinical application of ventilators was formed by 5 clinical engineers,who came from the Department of Medical Engineering of the First Affiliated Hospital of Zhejiang University School of Medicine,to form a primary evaluation index system for the clinical application of ventilators through literature review and internal discussion,and invited 14 experts from different provinces and cities engaged in respiratory therapy or ventilator maintenance management,after two rounds of online discussion and optimization,the importance scores of each evaluation index were obtained by the Delphi method,and the relative importance of each evaluation index was calculated by analytic hierarchy process.An evaluation index system for the clinical application of ventilators was established from three dimensions:technical performance,clinical effect and after-sales service.The ventilators of brand A and brand B used in the hospital during the same period were selected,and the clinical application of the two different brands of ventilators was compared and evaluated by using the evaluation index system.Results:The constructed evaluation index system for clinical application of ventilator included 3 first-level indicators(technical performance,clinical effect and after-sale service),and 8 second-level indicators and 35 third-level indicators.The combined weight of indicators showed that the ratio of importance of"technical performance"of the first-level indicators accounted for more than half,and the relatively important indicators in the second-level indicators were successively design for safety,static performance,reliability,service quality and applicability.The comprehensive average score of ventilator A was 4.468 points,and that of ventilator B was 4.117 points.The overall performance of ventilator A was better than that of ventilator B in the evaluation of this round,which was consistent with the actually clinical application of the two ventilators.Conclusion:The evaluation index system for clinical application of ventilator can conduct comprehensive evaluation for the effect of clinical application of various kinds of ventilators,and clarify the advantages and disadvantages of various kinds of ventilators,and provide reference basis for medical institutions in selecting ventilator's brands,and for manufacturers in improving product's performance.

Objective:To explore the effectiveness of digital health management in the management of community patients with essential hypertension comorbid with somatization symptom disorder.Methods:This was an intervention-controlled study. Patients with essential hypertension comorbid with somatization symptom disorder who visited the outpatient clinic of Jiangwan Town Community Health Service Center in Hongkou District, Shanghai from January to December 2022 were enrolled. Based on the time of initial diagnosis, patients were divided into a digital health management group (initial diagnosis from January to June 2022) and a control group (initial diagnosis from July to December 2022). Baseline clinical data were collected. The control group received conventional interventions, while the digital health management group utilized the Health Cloud APP 5.3.11 platform for online digital health management without altering the original medication regimen. The intervention lasted for 24 weeks. Before and after the intervention, the Somatization Symptom Scale (SSS), 9-item Patient Health Questionnaire (PHQ-9), and 7-item Generalized Anxiety Disorder Scale (GAD-7) were used to assess somatization symptoms, depression, and anxiety, respectively. The reduction rate in SSS scores was calculated, and blood pressure and heart rate were measured. The evaluation criteria for somatization symptom intervention effectiveness were as follows: at the endpoint of the intervention, SSS ≤29 or a reduction rate of SSS ≥ 75% was considered "cured"; a reduction rate of 50% to <75% was considered "markedly effective"; a reduction rate of 25% to <50% was considered "effective"; and a reduction rate of <25% was considered "ineffective".The overall effectiveness rate=(number of cured patients + number of markedly effective patients + number of effective patients)/total number of patients × 100%.Results:A total of 62 patients in the digital health management group and 65 patients in the control group were included in the final analysis. The mean age of the digital health management group was (50.5±3.5) years, with 30 males (48.4%), while the mean age of the control group was (50.2±3.2) years, with 31 males (47.7%). There were no statistically significant differences in the age or gender distribution between the two groups (both P>0.05). Before the intervention, there were no significant differences between the two groups in SSS sub-item scores, total SSS scores, PHQ-9 scores, GAD-7 scores, blood pressure, or heart rate (all P>0.05). After 24 weeks of intervention, all scores decreased in both groups, and did blood pressure and heart rate (all P<0.05). The differences in SSS sub-item scores, total SSS scores, PHQ-9 scores, GAD-7 scores, blood pressure, and heart rate before and after the intervention were greater in the digital health management group than in the control group (all P<0.05). The proportion of patients with effective intervention for somatization symptom was higher in the digital health management group than in the control group (57 cases (91.9%) vs. 38 cases (58.5%), P<0.001). Conclusion:Digital health management can improve somatization symptom disorder, blood pressure, and heart rate in patients with hypertension.

Objective:To evaluate the detection rate, anatomical distribution, and influencing factors of bone marrow edema-like signal (BMELS) in the knees of amateur marathon runners.Methods:This was a cross-sectional study. This study publicly recruited amateur marathon runners through the Hangzhou Long-distance Running Association from January 2019 to December 2024. Based on knee magnetic resonance imaging (MRI) results, participants were divided into a BMELS-positive group (BMELS present in at least one knee) and a BMELS-negative group. General clinical information was collected from participants using a questionnaire. All participants underwent a knee MRI scan to screen for the presence of BMELS and to assess its severity. Logistic regression models were used to analyze the associated factors of BMELS in amateur marathon runners, while Spearman′s correlation analysis assessed the correlation between BMELS grade and these factors.Results:A total of 60 subjects (120 knee joints) were enrolled, including 39 males (65%), aged (40.0±8.4) years. Of these, 39 were in the BMELS-positive group, and 21 were in the BMELS-negative group. The BMELS detection rate for the 120 knee joints of these 60 subjects was 53.3% (64/120). BMELS were detected in 43.3%(52/120) of the femur, 34.2% (41/120) of tibia and 17.5% (21/120) of patella. Multivariate logistic regression analysis showed an independent positive correlation between monthly running volume and knee BMELS in amateur marathon runners ( OR=1.007, 95% CI: 1.000-1.013, P=0.035). Spearman′s correlation analysis showed a weak positive correlation between the BMELS grade of the knees and the monthly running volume of amateur marathon runners ( r s=0.360, P=0.005). Conclusions:The detection rate of knee BMELS is high in amateur marathon runners, and they are distributed in a way that is characteristic of the region, with a higher incidence in the medial femoral condyle. In this population, monthly running volume is independently associated with knee BMELS, with a higher grade associated with greater monthly running volume.

Objective:To explore the epidemiological characteristics and risk factors of gastroesophageal reflux disease (GERD) in Rongcheng city.Methods:From June to December 2023, 4 421 permanent residents of Rongcheng city were selected as the survey subjects, and an epidemiological investigation of GERD was conducted through a combination of telephone interviews and medical records review.Results:A total of 4 803 permanent residents of Rongcheng city were investigated in this study, and the loss of follow-up rate was 7.95%(382/4 803). The prevalence rate of GERD was 6.11%(270/4 421). Compared with the non-GERD group, patients in the GERD group were older, had a higher body mass index (BMI), had a higher proportion of males, and had a lower proportion of married patients ( P<0.05). The results of single factor analysis showed that gallbladder polyp, enteritis, Helicobacter pylori infection, colon polyp, peptic ulcer, chronic gastritis, coronary heart disease, hypertension, diabetes, pharyngitis, drinking history, smoking history, sleep problems or troubles, and eating fish, shellfish, shrimp and seaweed were the influencing factors of GERD ( P<0.05). Multiple Logistic regression analysis showed that male, gallbladder polyp, enteritis, Helicobacter pylori infection, chronic gastritis, coronary heart disease, hypertension, diabetes, pharyngitis, and sleep problems or troubles were independent risk factors for GERD ( P<0.05), while married and eating fish, shellfish, shrimp and seaweed were protective factors ( P<0.05). The scores of Health Questionnaire Depression Scale (PHQ-9), Generalized Anxiety Scale (GAD-7) and Health Questionnaire Somatic Symptom Group Scale (PHQ-15) in the GERD group were higher than those in the non-GERD group: 8(5, 12) scores vs. 2(1, 4) scores, 8(5, 11) scores vs. 2(2, 5) scores, 12(8, 16) scores vs. 4(2, 5) scores, there were statistical differences ( P<0.01). The results of Spearman correlation analysis showed that the three mental state scales and GERD scale (GerdQ) scores had positive correlationsrespectively ( r = 0.150, 0.122, 0.153, P<0.05). Conclusions:The etiology and pathogenesis of GERD are related to living habits, basic diseases, mental factors and other factors. In order to reduce the incidence rate of GERD, attention should be paid to the adjustment of personal living habits and eating habits, as well as mental health.