A 51-year-old male presented with nasal obstruction, followed by progressive hearing loss and blurred vision. Imaging identified space-occupying lesions in the paranasal sinuses, orbits, and paraspinal regions, while laboratory tests confirmed positive anti-proteinase 3 anti-neutrophil cytoplasmic antibody(PR3- ANCA) immunoglobulin G (IgG)and markedly elevated serum IgG4. Despite treatment with corticosteroids, immunosuppressants, and radiotherapy, the patient exhibited steroid dependency with relentless disease progression. Following multidisciplinary consultation, a diagnosis of inflammatory myofibroblastic tumor (IMT) coexisting with ANCA- associated vasculitis (AAV) was favored, though IgG4-related disease remained a critical differential. Ultimately, profound immunosuppression precipitated a severe herpesvirus infection, leading to disseminated intravascular coagulation and multiple organ dysfunction syndrome. This case underscores the rarity and diagnostic complexity of concurrent IMT and AAV, highlights the therapeutic dilemma of balancing primary disease control against fatal opportunistic infections, and emphasizes the critical role of multidisciplinary collaboration in the diagnosis and treatment of complex diseases.

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

With the growing emphasis on maternal and child oral health, the significance of managing oral health across preconception, pregnancy, and infancy stages has become increasingly apparent. Oral health challenges extend beyond affecting maternal well-being, exerting profound influences on fetal and neonatal oral development as well as immune system maturation. This expert consensus paper, developed using a modified Delphi method, reviews current research and provides recommendations on maternal and child oral health management. It underscores the critical role of comprehensive oral assessments prior to conception, diligent oral health management throughout pregnancy, and meticulous oral hygiene practices during infancy. Effective strategies should be seamlessly integrated across the life course, encompassing preconception oral assessments, systematic dental care during pregnancy, and routine infant oral hygiene. Collaborative efforts among pediatric dentists, maternal and child health workers, and obstetricians are crucial to improving outcomes and fostering clinical research, contributing to evidence-based health management strategies.
Humans ; Pregnancy ; Female ; Infant ; Consensus ; Mouth Diseases/therapy* ; Pregnancy Complications/therapy* ; Oral Health ; Infant, Newborn ; Delphi Technique ; Oral Hygiene

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective:Based on the best evidence, formulate the review indicators to promote the initiation and establishment of maternal lactation and carry out clinical review, analyze the barriers and promoting factors of the clinical application of evidence, and formulate countermeasures.Methods:Evidence-based nursing research was used to identify clinical problems, build evidence-based group, systematically search, evaluate and synthesize evidence. On September 1,2023 to December 31 in Affiliated Hospital of Jiangsu University document and delivery of maternal investigation, in Ottawa research application mode as a guide, based on the evidence to review indicators and review method, clear clinical status and evidence gap, combined with the stakeholders interview, using content analysis to analyze barriers and promoting factors, to formulate action countermeasures.Results:In this study, 140 pregnant women were finally included for clinical review, aged from 22 to 42 (30.13 ± 3.69) years. A total of 23 pieces of best evidence were incorporated, leading to the establishment of 29 review indicators. Among these, 20 review indicators showed compliance rates below 60%. The main obstacles based on the results of review and interviews with stakeholders: the evidence content covered perinatal stages but lacked specificity and practical applicability; nurses had insufficient knowledge and faced increased workloads; pregnant/postpartum women lacked essential knowledge and skills, with delayed resolution of lactation issues; the practice environment lacked evidence-based implementation protocols, specialized assessment tools, and professional lactation consultant teams, etc. Promoting factors: the project team had rich experience in evidence transformation; the reform aligned with national policies, high engagement from departmental leaders, and standardized management systems for evidence-based projects in the nursing department; strong motivation among pregnant/postpartum women; the hospital was an infant-friendly hospital with talents needed for evidence transformation.Conclusions:There is a big gap between the clinical status and the evidence of promoting the initiation and establishment of lactation, so nursing staff should make full use of the promoting factors and formulate countermeasures according to the obstacle factors, so as to provide reference for promoting the initiation of lactation and the establishment of relevant evidence to clinical transformation.

This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.

OBJECTIVE To observe the effect of the Chinese herbal compound Weidiao No.3 Formula(WD-3)combined with immunotherapy and chemotherapy on survival outcomes in patients with advanced non-small cell lung cancer(NSCLC)with lung-spleen qi dificiency type.METHODS A total of 216 patients with stage Ⅲb-Ⅳ NSCLC without driver gene mutations and with lung-spleen qi vacuity pattern and admitted to the oncology departments of Wuxi Hospital of Traditional Chinese Medicine and Jiangnan Uni-versity Affiliated Hospital between January 1,2020,and March 1,2025,were enrolled.Based on whether they received WD-3 oral treatment(≥3 months),they were divided into a Chinese medicine exposure group(n=98;WD-3+immunotherapy combined with chemo-therapy)and a non-exposure group(n=118;immunotherapy combined with chemotherapy alone).Propensity score matching(PSM)was used to balance baseline characteristics.Overall survival(OS),progression-free survival(PFS),and baseline characteristics were com-pared between the two groups.Cox proportional hazards regression model was used to analyze the association between exposure and outcome,and sensitivity analysis was performed.RESULTS After PSM,there were no statistically significant differences in baseline characteristics between the two groups(P>0.05).After matching,the median OS(32.92 months)and median PFS(9.07 months)in the Chinese medicine exposure group were longer than those in the non-exposure group(23.24 months and 7.89 months,respectively),with statistically significant differences(P<0.05).Multivariate analysis was conducted,incorporating age,PD-L1 expression,KPS score,pathological type,and other factors as covariates to assess the independent association between WD3 exposure and OS and PFS outcomes.The results indicated that WD3 exposure was statistically significant in reducing the risk of death(OS outcome)and disease progression(PFS outcome).Specifically,for the OS outcome,the HR was 0.626,with a 95%CI of 0.438 to 0.894,and P=0.01;for the PFS outcome,the HR was 0.721,with a 95%CI of 0.535 to 0.972,and P=0.032.Sensitivity analysis showed robust results(E-value>2.1).CONCLUSION WD-3 combined with immunotherapy and chemotherapy may prolong OS and PFS and reduce mortality risk in patients with advanced NSCLC without driver gene mutations and with lung-spleen qi dificiency type,achieves adequate therapeutic effects.

Objective:To develop an artificial intelligence-based model for automated recognition of serum indices using machine vision and deep learning.Methods:This study was a cross-sectional study.Serum sample images were collected fromWest China Hospital of Sichuan University from September 21, 2020 to January 20, 2023 using the imaging device of the fully automated sample pre-processing system. A computer random number generator was used to randomly select one whole hour each day, and all serum sample images processed within that hour were included. After excluding samples with unqualified images and missing serum index results, a total of 5, 534 samples were included. These were divided into a training set and a test set in an 8∶2 ratio using Python random shuffle function, and 4, 458 samples were in the training set and 1, 076 samples were in the test set. After manual inspection, the serum regions were annotated using the MATLAB Image Labeler tool and converted into YOLO format, and a YOLO v5-based model was constructed for automatic serum region extraction. The actual values of lipemia index (L-index), hemolysis index (H-index), and icterus index (I-index) were measured using the automatic biochemical analyzerwith matched reagent kits. A serum index regression model was constructed based on the MobileNet v2 network using the PyTorch 1.10.0 framework. The grading performance of the model was evaluated using accuracy, Kappa coefficient, sensitivity, specificity, positive predictive value, and negative predictive value. Regression performance was assessed using root mean square error (RMSE), mean absolute error (MAE), coefficient of determination (R2), and Bland-Altman analysis.Results:The overall accuracy rates for grading L-index, H-index, and I-index were 98.88%, 95.26%, and 92.47%, respectively, with Kappa coefficients of 0.72, 0.72, and 0.59. For L-index, MAE was 5.11, RMSE was 9.77, and R2 was 0.78. For H-index, MAE was 5.18, RMSE was 8.99, and R2 was 0.89. For I-index, MAE was 1.13, RMSE was 3.01, and R2 was 0.71. Bland-Altman analysis showed that 95.5%, 95.1%, and 95.7% of the data points fell within the consistency intervals for L-index, H-index, and I-index, respectively.Conclusion:The study developed an artificial intelligence-based serum index regression modelto estimate serum indices with high efficiency and accuracy. It shows great potential for reducing laboratory costs, improving clinical testing efficiency, and promoting intelligent development in laboratory medicine.

Malignant tumors (commonly referred to as cancer) represent a major global public health challenge and contribute significantly to the worldwide disease burden. Early screening plays a critical role in improving detection rates, enabling timely intervention, and enhancing patient survival rates. However, current cancer screening guidelines primarily focus on site-specific screening, which may not fully address the need for comprehensive early detection. A scientifically rational, multi-cancer screening approach offers several advantages: it optimizes the use of biological samples, reduces time costs for participants, enhances the efficiency and comprehensiveness of screening, and minimizes overall expenses. Such an approach also facilitates the rational allocation of healthcare resources, ultimately helping to reduce the societal burden of cancer. To address this need, the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China. This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and international researches on cancer screening, early detection, and treatment for prevalent malignancies. Drawing upon China's unique demographic and healthcare context, as well as practical screening experiences, the consensus provides evidence-based recommendations on target populations, screening technologies, and procedural workflows for multi-cancer screening. These guidelines align with the principles and methodologies established by the World Health Organization (WHO), aiming to enhance the effectiveness of combined cancer screening in China, improve early detection rates, and provide a scientific foundation for national cancer prevention and control strategies.