Objective To construct a lung cancer surgery-oriented disease-specific database covering the entire perioperative care pathway, thereby improving the quality and usability of key surgical data elements. Methods Real-world clinical data were extracted from a single-center thoracic surgery department. A standardized data model was established based on the open electronic health record (openEHR) standard. Large language model (LLM), optical character recognition (OCR), and artificial intelligence (AI)-driven techniques were employed to extract, structure, and perform quality control on unstructured clinical narratives, imaging reports, and radiological data, with a focus on capturing surgically relevant perioperative indicator. Results A multimodal database comprising 19 917 patients was established, including 7 930 males and 11 987 females, with ages ranging from 15 to 97 (61.7±9.7) years. The database includes 582 structured data variables, textual report data corresponding to 69 clinical indicators, 13 000 pulmonary function test PDF reports, and chest CT imaging data from 16 884 patients. This database comprehensively covers major information relevant to surgical diagnosis and treatment of lung cancer, significantly improving the completeness and granularity of surgical detail data. Large language models (LLMs) and optical character recognition (OCR) technologies enhanced the efficiency of converting unstructured data into structured formats, while a multi-level manual verification process ensured data accuracy and traceability. The database supports real-world research including comparisons of surgical procedures, prediction of postoperative complications, prognosis assessment, and multimodal data association analyses.

The success of chimeric antigen receptor T (CAR-T) cells therapy for hematologic malignancies has sparked interest in potential applications for solid tumors. However, unlike the homogeneous, dynamic, and nutrient-rich hematologic environment, CAR-T cells must overcome the complex tumor microenvironment. Ensuring efficient contact with tumor cells remains a primary challenge to enhance the efficacy of CAR-T cell therapy. Abnormal tumor angiogenesis, disordered chemokine production, dense extracellular matrix, and stromal cells all act as biological barriers that hinder contact of CAR-T cells with tumor cells. This review summarizes specific strategies to promote vascular normalization, modulate chemokine production, target physical barriers, combine different therapeutic approaches, and innovative cell delivery methods to enhance infiltration of CAR-T cells into solid tumors. These strategies will help to overcome current limitations and enhance the effectiveness of CAR-T cell therapy for solid tumors.

Objective To explore the therapeutic effect of lower extremity exoskeleton robot(LEER)training on walking and balance function in patients with incomplete paraplegia.Methods According to the treatment method,70 patients with incomplete paraplegia were randomly divided into LEER group and control group,35 cases in each group.Both groups received regular rehabilitation therapy and functional walking training,and the LEER group received LEER training.Barthel index(BI),Berg balance scale(BBS)and functional ambulation category(FAC)were used to evaluate the activities of daily living,balance function and walking ability of the two groups before and 12 weeks after treatment.Results Compared with those before treatment,the BI and BBS scores of the LEER group and the control group were significantly increased(all P＜0.05).There was no significant difference in BI and BBS scores between the LEER group and the control group before treatment(all P＞0.05).The BI and BBS scores of the LEER group were significantly higher than those of the control group after treatment(all P＜0.05).There was no significant difference in FAC grade distribution between LEER group and control group before treatment(P＞0.05),and there was significant difference in FAC grade distribution between the two groups after treatment(P＜0.05).Conclusion LEER training can effectively improve the daily living ability,balance and walking function of patients with incomplete paraplegia,which is superior to the single intervention path of conventional rehabilitation training.

Biliary tract cancer(BTC)due to its subtle early symptoms,approximately 60％-70％of patients are diagnosed at an advanced stage,limiting the effectiveness of treatment.While traditional treatment methods such as surgery and chemotherapy remain the primary approaches,their efficacy is limited by the heterogeneity of the disease and the development of resistance.Recently,targeted therapies and immunotherapy have emerged as promising strategies,showing good prospects in clinical trials.Targeted drugs addressing common genetic mutations in BTC,such as FGFR2 gene fusion,IDH1 mutations,and HER2 amplification,have shown some therapeutic efficacy.In addition,the combination of immune checkpoint inhibitors with chemotherapy has shown potential in prolonging survival.However,targeted and immunotherapy for BTC still faces challenges,and future research should focus on personalized treatment,combining genetic testing and immunotherapy to further optimize therapeutic strategies and improve patient quality of life.

Objective:To explore the influencing factors of the use of intravenous therapy specialist nurses and construct a theoretical framework, so as to provide reference for developing intervention measures and improving the use of intravenous therapy specialist nurses.Methods:The grounded theory research method was used. From July to August 2024, 17 intravenous therapy managers/specialist nurses from six ClassⅢ Grade A hospitals in Beijing City and Hebei Province were selected through purposive and theoretical sampling for semi-structured interviews. NVivo 12.0 was used for data analysis, including open, axial, and selective coding.Results:A total of 79 initial concepts were extracted and summarized into 25 domains, which were consolidated into five main domains, including organizational management and support, personal characteristics and professional identity, team collaboration and communication, work performance and incentive mechanisms, and external environment and opportunities. On this basis, a theoretical framework for factors influencing the use of intravenous therapy specialist nurses was constructed.Conclusions:This study constructs a theoretical framework for factors influencing the use of intravenous therapy specialist nurses. Managers can leverage this theoretical framework to develop targeted intervention strategies that enhance the effectiveness of intravenous therapy specialist nurses and optimize the allocation of nursing human resources.

OBJECTIVE: To explore, identify, and develop novel blood-based indicators using machine learning algorithms for accurate preoperative assessment and effective prediction of postoperative complication risks in patients with rheumatoid arthritis (RA) undergoing total knee arthroplasty (TKA). METHODS: A retrospective cohort study was conducted including RA patients who underwent unilateral TKA between January 2019 and December 2024. Inpatient and 30-day postoperative outpatient follow-up data were collected. Six machine learning algorithms, including decision tree, random forest, logistic regression, support vector machine, extreme gradient boosting, and light gradient boosting machine, were used to construct predictive models. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), F1-score, accuracy, precision, and recall. SHapley Additive exPlanations (SHAP) values were employed to interpret and rank the importance of individual variables. RESULTS: According to the inclusion criteria, a total of 1 548 patients were enrolled. Ultimately, 18 preoperative indicators were identified as effective predictive features, and 8 postoperative complications were defined as prediction labels for inclusion in the study. Within 30 days after surgery, 453 patients (29.2%) developed one or more complications. Considering overall accuracy, precision, recall, and F1-score, the random forest model [AUC=0.930, 95% CI (0.910, 0.950)] and the extreme gradient boosting model [AUC=0.909, 95% CI (0.880, 0.938)] demonstrated the best predictive performance. SHAP analysis revealed that anti-cyclic citrullinated peptide antibody, C-reactive protein, rheumatoid factor, interleukin-6, body mass index, age, and smoking status made significant contributions to the overall prediction of postoperative complications. CONCLUSION Machine learning-based models enable accurate prediction of postoperative complication risks among RA patients undergoing TKA. Inflammatory and immune-related blood biomarkers, such as anti-cyclic citrullinated peptide antibody, C-reactive protein, and rheumatoid factor, interleukin-6, play key predictive roles, highlighting their potential value in perioperative risk stratification and individualized management.
Humans ; Arthroplasty, Replacement, Knee/adverse effects* ; Arthritis, Rheumatoid/blood* ; Machine Learning ; Postoperative Complications/blood* ; Female ; Male ; Retrospective Studies ; Middle Aged ; Aged ; Risk Factors ; Preoperative Period ; C-Reactive Protein/analysis* ; Risk Assessment

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Objective To observe the clinical efficacy of fire needling in treating lumbar disc herniation(LDH)of cold-damp type under the guidance of meridian sinew theory.Methods A total of 70 cases of patients with LDH of cold-damp type were randomly divided into observation group and control group,35 cases in each group,the control group was given conventional acupuncture treatment,and the observation group was treated with fire needling under the guidance of meridian sinew theory on the basis of the treatment of the control group,and the course of treatment covered three courses,one week as a course.After three courses of treatment,the clinical efficacy of the two groups was evaluated,and the changes in the Visual Analogue Scale(VAS)scores of pain,the Japanese Orthopedic Association(JOA)scores,and traditional Chinese medicine(TCM)syndrome scores of patients in the two groups before and after treatment were observed.Results(1)During the study,there were three cases in the observation group and five cases in the control group were failed to follow-up.Finally,32 cases in the observation group and 30 cases in the control group were included in the efficacy statistics.(2)The total effective rate was 93.75%(30/32)in the observation group and 86.67%(26/30)in the control group.The clinical efficacy of the observation group was superior to that of the control group,and the difference being statistically significant(P<0.05).(3)After treatment,the VAS and JOA scores of patients in the two groups improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).(4)After treatment,the TCM scores of the two groups of patients improved significantly(P<0.05),and the improvement in the observation group was significantly superior to that in the control group,the difference being statistically significant(P<0.05).Conclusion Under the guidance of the meridian sinew theory,fire needling in treating LDH of cold-damp type can significantly reduce the degree of pain,improve the lumbar function,alleviate LDH-related symptoms,so as to improve the patients'quality of life.