Objective: To investigate methods for constructing a high-quality instructional dataset for traditional Chinese medicine (TCM) mental disorders and to validate its efficacy. Methods: We proposed the Fine-Med-Mental-T&P methodology for constructing high-quality instruction datasets in TCM mental disorders. This approach integrates theoretical knowledge and practical case studies through a dual-track strategy. (i) Theoretical track: textbooks and guidelines on TCM mental disorders were manually segmented. Initial responses were generated using DeepSeek-V3, followed by refinement by the Qwen3-32B model to align the expression with human preferences. A screening algorithm was then applied to select 16 000 high-quality instruction pairs. (ii) Practical track: starting from over 600 real clinical case seeds, diagnostic and therapeutic instruction pairs were generated using DeepSeek-V3 and subsequently screened through manual evaluation, resulting in 4 000 high-quality practice-oriented instruction pairs. The integration of both tracks yielded the Med-Mental-Instruct-T&P dataset, comprising a total of 20 000 instruction pairs. To validate the dataset’s effectiveness, three experimental evaluations (both manual and automated) were conducted: (i) comparative studies to compare the performance of models fine-tuned on different datasets; (ii) benchmarking to compare against mainstream TCM-specific large language models (LLMs); (iii) data ablation study to investigate the relationship between data volume and model performance. Results: Experimental results demonstrate the superior performance of T&P-model fine-tuned on the Med-Mental-Instruct-T&P dataset. In the comparative study, the T&P-model significantly outperformed the baseline models trained solely on self-generated or purely human-curated baseline data. This superiority was evident in both automated metrics (ROUGE-L > 0.55) and expert manual evaluations (scoring above 7/10 across accuracy). In benchmark comparisons, the T&P-model also excelled against existing mainstream TCM LLMs (e.g., HuatuoGPT and ZuoyiGPT). It showed particularly strong capabilities in handling diverse clinical presentations, including challenging disorders such as insomnia and coma, showcasing its robustness and versatility. Data ablation studies showed that T&P-model performance had an overall upward trend with minor fluctuations when training data increased from 10% to 50%; beyond 50%, performance improvement slowed significantly, with metrics plateauing and approaching a saturation point. Conclusion This study has successfully constructed the specialized Med-Mental-Instruct-T&P instruction dataset for TCM mental disorders proposed the systematic Fine-Med-Mental-T&P methodology for its development, effectively addressing the critical challenge of high-quality, domain-specific data scarcity in TCM, and providing essential data support for developing intelligent TCM diagnostic and therapeutic systems.

With the continuous progress of modern science and technology, the research of TCM inspection is gradually moving towards a new stage of objectification and intelligence. By systematically sorting out the key technologies involved in the objectification of inspection and diagnosis, and summarizing its clinical application progress in the three core areas of face diagnosis, tongue diagnosis and visual diagnosis, it is found that the inspection and diagnosis of TCM can not only significantly improve the efficiency and accuracy of clinical diagnosis with the help of modern technology, but also achieve more results in disease differentiation, constitution identification and efficacy evaluation. The key technologies include digital image processing, infrared thermal imaging, spectroscopy, photoelectric volume and artificial intelligence (AI) technology. In terms of clinical application, facial diagnosis focuses on image and infrared thermography feature analysis, tongue diagnosis involves image, spectral feature research and AI model construction, and eye diagnosis focuses on white eye collaterals extraction, fundus sign analysis and eye movement information research. However, there are still some problems, such as imperfect standardization system, bottleneck of multi-modal fusion and interpretation, insufficient clinical verification and practicability. In the future, the deep integration of TCM observation and modern science and technology should be promoted by means of technological integration and innovation and strengthening interdisciplinary cooperation, so as to help the modernization of TCM diagnosis.

Objective: To investigate the trends in incidence and mortality of lung cancer in Huangpu District, Shanghai Municipality from 2002 to 2019, so as to provide the evidence for formulating lung cancer prevention and control measures. Methods: Data of lung cancer incidence and mortality among residents in Huangpu District from 2002 to 2019 were collected through the Shanghai Cancer Registration and Reporting Management System. The crude incidence and mortality of lung cancer was calculated, and standardized by the data from the Chinese Fifth National Population Census in 2000 (Chinese-standardized rate) and the Segi's world standard population in 1960 (world-standardized rate). The trends in incidence and mortality of lung cancer among residents by age and gender were evaluated using annual percent change (APC). Results: A total of 12 965 cases of lung cancer were reported in Huangpu District from 2002 to 2019, and the crude incidence rate was 80.66/105, the Chinese-standardized incidence rate was 34.54/105, and the world-standardized incidence rate was 31.30/105, all showing upward trends (APC=4.588%, 2.933% and 3.247%, all P<0.05). A total of 10 102 deaths of lung cancer were reported, and the crude mortality rate was 62.30/105, showing an upward trend (APC=0.959%, P<0.05); the Chinese-standardized mortality was 25.93/105, and the world-standardized mortality was 22.05/105, both showing downward trends (APC=-1.282% and -1.263%, both P<0.05). The crude incidence and mortality rates of lung cancer in males were higher than those in females (101.39/105 vs. 60.52/105, 85.45/105 vs. 39.87/105, both P<0.05). The crude incidence and mortality rates of lung cancer showed upward trends with age (both P<0.05), reaching their peaks in the age groups of 80-<85 years (341.37/105) and 85 years or above (355.97/105), respectively. Conclusions The incidence of lung cancer showed an upward trend, while the mortality showed a downward trend in Huangpu District from 2002 to 2019. Elderly men were the high-risk group for lung cancer incidence and mortality.

Abstract In the wave of digital and intelligent applications, artificial intelligence (AI) is transforming the development trajectories of industries across the globe. Traditional Chinese medicine (TCM), as a cultural treasure of the Chinese nation, carries thousands of years of wisdom and practical experience. However, in the context of the rapid advancements in modern medicine and technology, TCM faces dual challenges: preserving its heritage while innovating. DeepSeek, a major achievement in the field of AI, offers a new opportunity for the development of TCM with its powerful technological capabilities. Exploring the integration of DeepSeek with TCM not only helps modernize the practice but also promises unique contributions to global health.

Objective To analyze the quality of medical record home pages for discharged patients in a tertiary hospital in Guangzhou in 2023 based on the dual dimensions of Diagnosis-Related Groups(DRG)and Disease Intervention Program(DIP),and to provide a basis for improving the refinement of medical record home page quality management.Methods Dis-charge medical records from a tertiary general hospital in 2023 were selected.All medical records were grouped using DRG,while medical records under Guangzhou medical insurance and cross-province medical insurance implemented under DIP were simulated for DIP grouping.The writing defects in the discharge medical records were analyzed,as well as the DRG grouping,RW,and DIP standard scores of medical records with home page filling defects.Results Among 172 230 discharge medical records,171 786 were grouped into DRG,91 768 were grouped into DIP,and 91 604 were grouped into both DRG and DIP.A significant positive correlation was found between RW and DIP standard scores(r2=0.681,P＜0.001).Among the 91 604 medical records grouped into both DRG and DIP,1 942(2.12％)had writing defects,including 837(0.91％)with home page defects.DRG groups with more home page defect records included NC15,HK2,EJ13,EB15,HJ13,and RE19.Conclusion Quality defects in medical record home pages impact the accuracy of DRG and DIP grouping.Systematic measures such as strengthening medical record writing training and establishing scientific reward and punishment mechanisms should be implemented to provide data sup-port for the further advancement of DRG/DIP payment reform.

To assess the cross-contamination risk and genetic evolution ofStaphylococcus aureus(S.aureus)at various stages in a swine slaughterhouse,and to provide a reference for risk evalua-tion and control measures of S.aureus contamination during swine slaughtering,we conducted whole-genome sequencing on 31 isolates of S.aureus collected and preserved from the slaughter-house.Bioinformatics analyses were performed to investigate the genomic characteristics and genet-ic relationships of these isolates.Results revealed cross-contamination across different slaughter-house stages,predominantly with ST398-t1451 strains.Additionally,highly virulent ST9-t899 strains and ST398-t11 strains with numerous resistance genes were detected at various stages.The strains predominantly carried virulence genes such as hlgA,hlgB,and hlgC,with varying num-bers of resistance genes.Notably,two strains carried the optrA gene and three strains carried the cfr gene;the presence of the optrA gene is relatively rare among S.aureus.These genes confer re-sistance to novel synthetic antibiotics such as oxazolidinones and florfenicol and have the potential for horizontal gene transfer,increasing the risk of dissemination both within and beyond the slaughterhouse.Importantly,the study also detected a LA-MRSA-ST9 strain in water samples from the slaughterhouse,which could potentially infect humans.This strain exhibits zoonotic char-acteristics,highlighting the need for stricter protective measures for slaughterhouse workers to mitigate occupational exposure and infection risks.

Objective:To translate the quality of life tool for patients with aplastic anaemia and paroxysmal nocturnal haemoglobinuria (QLQ-AA/PNH) into Chinese, and to test its reliability and validity.Methods:According to the scale translation principle, the Chinese version of QLQ-AA/PNH was formed through translation, back translation and cross-cultural adaptation. A cross-sectional survey method was used to conveniently select 58 patients with aplastic anemia who were treated in the hematology department of the Second Affiliated Hospital of Dalian Medical University from January 2018 to September 2023 for investigation, and to evaluate the reliability and validity of the scale.Results:The Chinese version of QLQ-AA/PNH retains 36 items, and 5 common factors (psychological status dimension, life burden dimension, physical condition dimension, illness anxiety dimension and other symptom dimension) were extracted through exploratory factor analysis. The cumulative variance contribution rate reached 71.33%, and the factor load of each entry was greater than 0.5 on corresponding common factors. The Cronbach α coefficient of the scale as a whole was 0.971, the broken half reliability coefficient was 0.985, the Cronbach α coefficient of each common factor was 0.637 to 0.954, and the broken half reliability coefficient was 0.637 to 0.930. Conclusions:The Chinese version of QLQ-AA/PNH has been proved to be valid and reliable. It is a valuable tool for evaluating the quality of life among patients with aplastic anaemia.

Objective:To construct a nursing quality evaluation indicator system for pulse indicator continuous cardiac output (PiCCO) monitoring and provide a basis for evaluating the nursing quality of PiCCO monitoring.Methods:Using Donabedian′s "structure-process-result" three-dimensional quality evaluation model as the theoretical framework, the nursing quality evaluation indicator system for PiCCO was established through literature search, Delphi expert correspondence, and hierarchical analysis during the period May to August 2023.Results:Of the 22 experts, 6 were male and 16 were female, aged (46.59 ± 4.34) years. The return rates of the questionnaires of the 2 rounds of expert correspondence were both 100%, the coefficients of expert authority were both 0.945, and the Kendall coordination coefficients were 0.045-0.186 ( χ2 values were 2.00-221.46, all P<0.05) and 0.045-0.132 ( χ2 values were 2.00-82.16, all P<0.05), respectively. The finalized nursing quality evaluation indicator system for PiCCO included 3 primary indicators, 7 secondary indicators, and 36 tertiary indicators. Conclusions:The nursing quality evaluation indicator system for PiCCO is practical and scientific, which can provide reference for PiCCO monitoring nursing quality evaluation.

Objective:To investigate the clinical features and pathogenesis of a child with Stargardt disease caused by variants of ABCA4 gene. Methods:A child presented at Shenzhen Eye Hospital between September 5, 2020, and April 3, 2023 was selected as the study subject. Clinical data of the child were collected. Whole exome sequencing was performed on peripheral blood samples from the child and his parents. Candidate variants were validated by Sanger sequencing and bioinformatic analysis. This study was approved by the Medical Ethics Committee of Shenzhen Eye Hospital (Ethics No.: 2022KYPJ072).Results:The child was a 10-year-old male presenting with uncorrected visual acuity of 0.1 in both eyes without improvement with refractive correction. Fundus photography showed diffusely distributed yellow-white flecks in the macular region. FAF revealing central hypofluorescence surrounded by a hyperfluorescent ring, and OCT demonstrating significant foveal thinning (right eye: 45 μm; left eye: 50 μm) with ellipsoid zone disruption. Whole exome sequencing and Sanger sequencing revealed that the child has harbored compound heterozygous variants of the ABCA4 gene, namely c. 2384G>T (p.Gly795Val) and c. 2903G>A (p.Arg968Glu), which were inherited from his phenotypically normal parents and consistent with an autosomal recessive inheritance. This specific combination of the variants was previously unreported. According to the guidelines from the American College of Medical Genetics and Genomics (ACMG) guidelines, both variants were classified as likely pathogenic (PM2_Supporting+ PM3+ PP3+ PP4; PM1+ PM2_Supporting+ PP3+ PP4). Conclusion:The novel compound heterozygous variants of the ABCA4 gene probably underlay the genetic etiology of Stargardt disease type 1 in this child. Above finding has expanded the mutational spectrum of the ABCA4 gene among the Chinese population and provided further evidence for understanding the genetic heterogeneity and genotype-phenotype correlation of the Stargardt disease.

Objective:To investigate the protective effect of myrislignan（MRL）on concanavalin A（Con A）-induced autoimmune hepatitis（AIH）.Methods:C57BL/6J mice were divided into the following groups using a random number table，with five mice in each group：control group，MRL group，model group（Con A group），and MRL pretreatment group（MRL+Con A group）. MRL was injected intraperitoneally at a dose of 30 μg/g；3 h after pretreatment，Con A（18 μg/g）was administrated by intravenous injection；mouse livers and serum samples were collected 12 h after injection for measuring serum transaminase levels and liver cell apoptosis. The mRNA and protein expression levels of IL-6，IL-12，and TNF-α were measured using qRT-PCR and ELISA. Flow cytometry was performed to detect the proportion and activation status of macrophages in liver tissues. Bone marrow-derived macrophages（BMDMs）were isolated and induced in vitro to analyze the regulatory effect of MRL on macrophages. One-way analysis of variance was used to compare the differences in various indicators among groups. Results:Compared with the Con A group，MRL（30 μg/g）pretreatment significantly reduced alanine aminotransferase（ P<0.05）and aspartate transaminase（ P<0.01）levels，attenuated liver oxidative stress（increased superoxide dismutase activity，while decreased levels of malondialdehyde and myeloperoxidase；all P<0.05），and suppressed hepatocyte apoptosis（ P<0.01）. Both in vivo and in vitro experiments confirmed that MRL（30 μg/g）could reduce the proportion of M1 macrophages（ in vivo： P<0.05； in vitro：all P<0.001）and inhibit macrophage activation（ in vivo： P<0.01； in vitro：all P<0.05）. Conclusion:MRL effectively prevents Con A-induced autoimmune hepatitis by inhibiting liver cell apoptosis，attenuating liver oxidative stress，suppressing M1 macrophage polarization，and reducing inflammatory cytokine expression.