The development of traditional Chinese medicine (TCM) diagnosis and treatment has undergone multiple paradigms, evolving from sporadic experiential practices to systematic approaches in syndrome differentiation and treatment and further integration of disease and syndrome frameworks. TCM is a vital component of the medical system, valued alongside Western medicine. Treatment based on syndrome differentiation embodies both personalized treatment and holistic approaches; however, the inconsistency and lack of stability in syndrome differentiation limit clinical efficacy. The existing integration of diseases and syndromes primarily relies on patchwork and embedded systems, where the full advantages of synergy between Chinese and Western medicine are not fully realized. Recently, driven by the development of diagnosis and treatment concepts and advances in analytical technology, Western medicine has been rapidly transforming from a traditional biological model to a precision medicine model. TCM faces a similar need to progress beyond traditional syndrome differentiation and disease-syndrome integration toward a more precise diagnosis and treatment paradigm. Unlike the micro-level precision trend of Western medicine, precision diagnosis and treatment in TCM is primarily reflected in data-driven applications that incorporate information at various levels, including precise syndrome differentiation, medication, disease management, and efficacy evaluation. The current priority is to accelerate the development of TCM precision diagnosis and treatment technology platforms and advance discipline construction in this area.

Psychological factors have become significant contributors to the onset and progression of insomnia. This article explored the treatment of insomnia from the perspective of “liver governs wei qi （defensive qi）”. The concept of “liver governs wei qi （defensive qi）” is summarized in three aspects， firstly， the liver assists the spleen and stomach in transformation and transportation， governing the generation of wei qi； secondly， the liver aids lung qi diffusion and dispersion， governing the distribution of wei qi； thirdly， the liver regulates circadian rhythms， governing the circulation of wei qi. It is proposed that the clinical treatment of insomnia should focus on the following methods： for regulating the liver to harmonize the five viscera， and facilitate the circulation of wei qi， medicinals entering the liver channel include Chaihu （Bupleuri radix）， Baishao （Paeoniae Radix Alba）， Zhizi （Gardeniae Fructus）， and Suanzaoren （Ziziphi Spinosae Semen） could be commonly used； for nourishing the liver， the treatment should align with the day-night rhythm， and herbs such as Baihe （Lilium）， Hehuan （Albizia julibrissin）， and Yejiaoteng （Polygoni multiflori caulis） are commonly used； for soothing the liver and address both mental and physical health to calm wei qi， treatment should advocate verbal counseling， psychological regulation， and health education. Ultimately， this treatment approach can free liver qi to flow， soothe qi movement， restore the motion of wei qi， regulate during day and night， balance yin and yang， and resolve insomnia effectively.

Objective To explore the etiology and pathogenesis of dry eye by studying the distribution pattern of gender,age and traditional Chinese medicine(TCM)syndrome type in dry eye patients and by analyzing their correlation.Methods A total of 244 patients with dry eye who met the inclusion criteria were selected.The distribution of gender,age and TCM syndrome types was statistically analyzed,and then the correlation of TCM syndrome types with gender and age of dry eye patients was explored.Results(1)Of the 244 dry eye patients,96(39.34%)were male and 148(60.66%)were female,the incidence of the female being higher than that of the male.There were 124(50.82%)patients younger than 45 years old,81(33.20%)patients aged 45-60 years old,and 39(15.98%)patients older than 60 years old.The proportion of the patients younger than 45 years old was higher than that of other age groups.(2)Among the 244 patients with dry eyes,89 cases(36.47%)were differentiated as liver and kidney deficiency syndrome,75 cases(30.74%)were differentiated as qi stagnation and blood stasis syndrome,69 cases(28.28%)were differentiated as spleen and kidney deficiency,and 11 cases(4.51%)were differentiated as yin deficiency and damp-heat syndrome.And the occurrence frequency of the above four syndrome types was in descending order.(3)In the dry eye patients of various age groups,patients aged＜45 years old predominantly suffered from qistagnation and blood stasis syndrome,accounting for 41.94%(52/124);patients aged 45-60 years old and those aged＞60 years old predominantly suffered from liver and kidney deficiency syndrome,accounting for 46.91%(38/81)and 53.85%(21/39),respectively.The distribution of TCM syndrome types varied in the patients with different age groups,and the difference was statistically significant(χ2 = 22.128,P＜0.01).(4)In male dry eye patients,qi stagnation and blood stasis syndrome was predominant,accounting for 39.58%(38/96);among female dry eye patients,liver and kidney deficiency syndrome and spleen and kidney deficiency syndrome were prevalent,accounting for 41.89%(62/148)and 31.08%(46/148),respectively.The distribution of TCM syndrome types varied in the patients with different genders,and the difference was statistically significant(χ2 = 82.610,P＜0.01).Conclusion The TCM syndromes of patients with dry eyes are frequently differentiated as liver and kidney deficiency syndrome,followed by the qi stagnation and blood stasis syndrome.The prevalence of dry eyes is related to the gender and age,and gender and age are correlated with the TCM syndrome types to certain extent.

Objective To improve the efficiency of hospital antimicrobial management and ensure rational clinical use of antimicrobial agents with the aid of antimicrobial stewardship(AMS)empowered by digital intelligence tech-nology in hospital.Methods Information systems such as early warning of antimicrobial indexes,closed-loop ma-nagement of microbial detection information,and decision-making system of antimicrobial resistance monitoring data were applied to the traditional AMS system.Through hospital information systems(HIS)to collect data about thera-peutic antimicrobial use and healthcare-associated infection(HAI)quality control indexes of hospitalized patients in a tertiary first-class public hospital in Shenzhen City before and after digital technology improvement,indexes of 2021 and 2022 were as control group(before improvement)and observation group(after improvement)respective-ly,improvement trend of antimicrobial management was compared.Results After upgrading and renovating the hospital information system,hospital antimicrobial management indexes improved significantly compared to before the renovation.The use rate of antimicrobial agents and the preventive use rate of antimicrobial agents in class Ⅰincision surgery in patients in the observation group were both lower than those in the control group(27.0％vs 38.8％,20.9％vs 23.8％,respectively,both P＜0.05).Antimicrobial use density in hospitalized patients in the observa-tion group was lower than that in the control group([33.27±3.03]DDDs vs[42.06±4.42]DDDs),difference was statistically significant(t=13.11,P＜0.001).The observation group had a higher qualified rate for evaluating antimicrobial medical orders compared to the control group(98.5％vs 96.8％).The pathogenic detection rate of hospitalized patients before therapeutic antimicrobial use and pathogen detection rate related to HAI diagnosis were both higher than those in the control group(87.1％vs 84.5％,99.0％vs 95.4％,respectively),differences were both statistically significant(both P＜0.05).Conclusion Empowering the hospital's AMS system with digital technology can promote more scientific,standardized,efficient,and rational antimicrobial management in hospitals.

Objective:To evaluate the reliability and validity of the Chinese version of HEMO-FISS-QoL(HF-QoL) questionnaire (HF-QoL-C) in the Chinese population with hemorrhoids.Methods:From November 2021 to November 2022, a self-constructed general information questionnaire, HF-QoL-C, and the 36-item short form health survey (SF-36), Goligher classification, and Giordano severity of hemorrhoid symptom questionnaire (GSQ) were used to conduct a questionnaire survey on 760 hemorrhoid patients in the anorectal department of six hospitals. The data was analyzed for reliability and validity using SPSS 21.0 and AMOS 26.0 software.Results:The Cronbach's α coefficient of HF-QoL-C and its dimension ranged from 0.831 to 0.960, and the split coefficient was 0.832-0.915. Four common factors were extracted through principal component exploratory factor analysis. Confirmatory factor analysis indicated acceptable structural validity( χ2/ df=8.152, RSMEA=0.097, CFI=0.881, IFI=0.881, NFI=0.867). HF-QoL-C was correlated with SF36 and GSQ( r=-0.694, 0.501, both P<0.01). There were differences in the total score and dimensional scores of HF-QoL-C between surgical and drug treated patients, different grades of Goligher classification for hemorrhoidal disease, and different ranges of hemorrhoid prolapse (all P<0.001). No ceiling effect was found in the total score and the scores of each dimension(0.3%-2.0%). There was a floor effect in both psychological function and sexual activity dimensions (16.7%, 35.1%). Conclusion:HF-QoL-C has good reliability and validity, which can be used to measure the quality of life of Chinese hemorrhoid patients.

Objective:To analyze the differentially expressed genes in PBMCs of patients with systemic lupus erythematosus (SLE) by bioinformatics methods screening and analyzing the key genes related to ferroptosis, and explore the possible mechanism of ferroptosis involved in the pathogenesis of SLE at the transcription level.Methods:The data sets and samples of healthy people (HC) and SLE patients who met the screening criteria were retrieved from the Gene Expression Omnibus (GEO), a sub-database of the National Center for Biotechnology Information (NCBI). The differentially expressed genes, GO enrichment analysis and KEGG pathway enrichment analysis were analyzed by GEO2R, R language and related software packages. The protein interaction network (PPI) of differential genes was analyzed by STRING, Cytoscape and other tools to explore the key genes and pathways. In addition, real-time quantitative reverse transcription PCR (RT-qPCR) was used to verify the expression of key genes. Mann-Whitney U test was used to compare the expression of key genes in PBMCs between the two groups. Spearman rank correlation analysis was used to explore the relationship between SLE disease activity and the level of key genes. Results:Six data sets were included in this study. A total of 166 genes related to ferroptosis were differentially expressed between SLE and HC groups. The differential genes were specifically expressed in alveolar macrophages, neutrophils, CD49 + cells and CD31 + cells. GO enrichment analysis and KEGG pathway enrichment analysis showed that the differentially expressed genes were mainly involved in multiple signaling pathways closely related to SLE, such as oxidative stress response, infection and TNF signaling pathway. Hub genes screened by different algorithms all suggested RELA as a key gene, and RT-qPCR confirmed that compared with the RELA gene expression level in the HC group [0.75(0.37,1.13)], the expression level in SLE group [2.02 (1.19,4.06)] was increased, the difference was statistically significant ( Z=-3.08, P=0.002), and was positively correlated with the corresponding SLEDAI score of SLE samples ( r=0.52, P=0.019). Conclusion:The ferroptosis of many immune cells, including alveolar macrophages and CD49 + NK cells, is involved in the pathogenesis of SLE. RELA may be involved in the ferroptosis of PBMCs in SLE through the NF-κB pathway.

Objective:To analyze the improvement effect of monk fruit on diabetic nephropathy(DN)by network pharmacology,and to elucidate its possible related mechanism.Methods:The Traditional Chinese Medicine Systems Pharmacology(TCMSP)Database was used to detect the active ingredients and their targets of monk fruit;the DN target genes were screened out by DisGeNET Database and Genecards Database;the key targets of monk fruit against DN were obtained by comparing the monk fruit with DN targets;protein-protein interaction(PPI)network diagram was constructed by STRING Database and Cytoscape software;Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were performed by Cytoscape software.Molecular docking technology was used to predict the binding abilities of the core targets and the main active ingredients of monk fruit.Results:The TCMSP Database combined with the selection criteria was used to screen out a total of five active ingredients of monk fruit(ZINC03860434,Perlolyrine,beta-sitosterol,Kaempferol,and Flazin)as well as 85 targets represented by serine/threonine protein kinase 1(AKT1),transcription factor RELA,c-Jun N-terminal kinase(JUN),and tumor necrosis factor(TNF).Among them,Kaempferol contained the most targets.Among the 85 targets,34 were associated with DN.The GO functional enrichment analysis mainly included biological process(BP)such as oxidative stress,regulation of inflammation and apoptosis,and cell signaling transduction.The KEGG enrichment analysis included advanced glycosylation end product(AGE)-receptor of AGE(AGE-RAGE)signaling pathway,TNF signaling pathway,and C-type lectin receptor signaling pathway.The results molecular docking technology of the main active ingredients of monk fruit and DN target proteins showed that 5 kinds of molecular docking engergy were-8.00--5.00 kJ·mol-1.Conclusion:Kaempferol is the most effective active ingredient in the monk fruit for the treatment of DN,and its mechanism is mainly related to anti-inflammatory.

ObjectiveTo elucidate the principles and methods of the Bayesian probabilistic linkage model， and to demonstrate the effect of applying the model in linking birth and death data. MethodsThrough the Shanghai birth and death registration system， data of 199 025 infants born in 2017 and 1 512 infants who died in 2017 and 2018 were collected. After cleaning the data， the data were divided into monthly blocks and fully linked. The Jaro-Winkler algorithm and Euclidean distance were employed to measure the similarity of fields for matching. A Bayesian probabilistic linkage model was constructed and the linking effect was evaluated using a confusion matrix. ResultsUsing the Bayesian probabilistic linkage model， the birth and death data of infants were effectively linked， revealing that 36.71% of infants who died in Shanghai were born outside the city， and the probability of infant death was 2.6‰. The confusion matrix of the test set showed a recall rate of 0.86， precision of 0.76， and an F-score of 0.81. ConclusionThe practical application of Bayesian probabilistic linkage demonstrates a good model performance， enabling the establishment of birth-death cohorts that more accurately reflect the true levels of infant mortality. Utilizing this technique to integrate data from different departments can effectively improve research efficiency in the field of public health.

Since the concept of patient versions of guidelines （PVGs） was introduced into China， several PVGs have been published in China， but we found that there is a big difference between the concept of PVG at home and abroad， and the reason for this difference has not been reasonably explained， which has led to ambiguity and even misapplication of the PVG concept by guideline developers. By analyzing the background and purpose of PVGs， and the understanding of the PVG concept by domestic scholars， we proposed the term patient guidelines （PGs）. This refers to guidelines developed under the principles of evidence-based medicine， centered on health issues that concern patients， and based on the best available evidence， intended for patient use. Except for the general attribute of providing information or education， which is typical of common health education materials， PGs also provide recommendations and assist in decision-making， so PGs include both the patient versions of guidelines （PVG） as defined by the Guidelines International Network （GIN） and "patient-directed guidelines"， i.e. clinical practice guidelines resulting from the adaptation or reformulation of recommendations through clinical practice guidelines.