Objective: Inflammatory cascade reactions play a crucial role in secondary neuronal injury in acute ischemic stroke (AIS). The aim of this study was to explore the correlations between specific serological indicators, early neurological deterioration (END), disease prognosis, and syndrome factors in AIS based on this injury mechanism. Methods: The data for this study were collected from 135 patients with AIS admitted to the emergency department of Fangshan Hospital, Beijing University of Chinese Medicine, within 24 h of onset between November 2019 and May 2021. Among these, 29 patients had complete data and experienced END. Additionally, 9 non-END patients were matched from the remaining 90 patients with complete data, resulting in a total of 38 patients for statistical analysis. Statistical methods, including logistic regression and receiver operating curves, were used to analyze the correlation between serum levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), interleukin-10 (IL-10), vascular endothelial growth factor (VEGF), and intercellular adhesion molecule-1 (ICAM-1) within 24 h of END onset, disease prognosis, and syndrome factors. Grouping criteria included END occurrence, presence of syndrome elements on the first and third day post-onset, and prognosis at 90 days post-onset. Results: All 38 cases had onset time of less than 12 h, and there were no significant differences in age, gender, and onset time between the END and non-END groups. The TNF-α serum level within 24 h of onset was not associated with the occurrence of END but was negatively correlated with all-cause mortality at 90 days [0.110; P<0.05). An elevated IL-10 serum level within 24 h of onset showed a strong negative correlation with non-disabling and good functional outcomes at 90 days post-onset (0.110; P<0.05). When the ICAM-1 serum levels exceeded 233 599.500 μg/L and 125 141.500 μg/L, respectively, the susceptibility to endogenous wind and endogenous fire on the third day of onset was 15.364 times and 6.071 times higher, respectively, than that in patients with serum levels below these thresholds. Conclusion As accessible and objective biomarkers, inflammatory serum indicators are closely associated with both disease progression and traditional Chinese medicine (TCM) syndrome elements. They enhance AIS diagnosis, assessment, and treatment and contribute to a deeper understanding of the role of TCM syndrome differentiation in AIS diagnosis and treatment.

Objective:To construct a medical quality evaluation index system for inpatients in public hospitals based on the life cycle theory,starting from the entire process of medical treatment.Method:A comprehensive study was conducted on the screening of medical quality evaluation indicators for hospitalized patients using literature analysis,key informant interviews,and expert inquiry methods.Results:The effective recovery rate of the two rounds of expert consultation was 100%,with high enthusiasm from the experts.The authority coefficient was above 0.7,and Kendall's W coordination coefficient was 0.267(P＜0.05).The evaluation indicators for medical quality of hospitalized patients,including 3 primary indicators,10 secondary indicators,and 51 tertiary indicators,were determined.Conclusions:The medical quality evaluation index system for inpatients in public hospitals based on the life cycle theory has certain scientificity and reliability.However,the weight analysis of the index system has not been carried out and is still in the theoretical exploration stage.Further empirical research is needed for verification and improvement.

A recombinant adenovirus(rAd)for expression of Mycobacterium tuberculosis(M.tb)c-di-AMP phosphodiesterase CnpB was constructed,and its induced humoral immune response was detected.The codon-optimized gene of M.tb CnpB was cloned into the adenoviral plasmid pcADV.The recombinant plasmid pcADV-CnpB was transfected into HEK293T cells,and expression was detected with Western blot.The recombinant plasmid pcADV-CnpB and the backbone plasmid were co-transfected into HEK293T cells to obtain the recombinant adenovirus rAd-CnpB.rAd-CnpB was amplified in HEK293T cells,and the target protein expression of rAd-CnpB was detected with Western blot and immunofluorescence.Mice were immunized with rAd-CnpB intranasally,and their sera and bronchoalveolar lavage fluid(BALF)were collected.ELISA was used to detect levels of antigen-specific antibodies.Restriction enzyme digestion and sequencing indicated that the recombinant plasmid pcADV-CnpB was successfully constructed and led to protein expression in eukaryotic cells.rAd-CnpB was packaged and produced in HEK293T cells.After amplification and purification,rAd-CnpB with a titer of 5.53×1010 PFU/mL was obtained.rAd-CnpB led to CnpB expression in HEK293T cells.Intranasal immunization with rAd-CnpB increased levels of IgG and secretory IgA in BALF and led to high levels of IgG in sera.rAd-CnpB,the recombinant adenovirus for expression of c-di-AMP phosphodiesterase CnpB was successfully constructed,and was found to induce antigen-specific humoral and mucosal immune responses through mucosal immunization.Thus,rAd-CnpB may be used in further research on new TB vaccine strategies.

This study assessed the role and mechanism of the recombinant Bacillus Calmette-Gue?rin vaccine(rBCG)with c-di-AMP adjuvant in regulating metabolism and immunity in epididymal white adipose(eWAT)in mice.Male C57BL/6 mice were intravenously immunized with BCG and rBCG,and their body weights were monitored.eWAT was isolated from the mice,and the stromal vascular fractions(SVFs)cell number was counted with a hemocytometer.Sections of mouse adipose tissue were prepared,and the size,number,and morphology of eWAT adipocytes and crown-like structure(CLS)formation were compared under a microscope after HE staining.The transcription levels of lipid metabolism-associated factors,cytokines and aging-associated genes in each group were determined with qRT-PCR.The body weights of mice gradually increased after immunization with BCG and rBCG.The proportions of eWAT increased,and the SVFs cell number decreased,in rBCG immunized mice.HE staining indicated that BCG immunization promoted hyperplasia,whereas rBCG immunization promoted hypertrophy of eWAT adipocytes;moreover,both BCG and rBCG immunization induced CLS formation in eWAT.The qRT-PCR results indicated that rBCG immunization inhibited the expression of genes associated with lipolysis and energy expenditure in eWAT.BCG immunization had little effect on cytokine transcription,whereas rBCG significantly induced the transcription of IFN-γ and IL-1Ra,and inhibited that of IL-15 and IL-2,but did not induce the expression of aging-associated genes.Thus,rBCG immunization induced eWAT adipocyte hypertrophy,which was associated with the inhibition of eWAT lipolysis and the regulation of cytokine expression.

Objective:To investigate the application effect of curved incision surgery in the treatment of hammock finger tendon.Methods:45 patients with hammock finger tendon who were admitted to Pingle Orthopedics and Traumatology Hospital in Shenzhen were selected from May 2022 to May 2023,all of whom were treated with curved incision surgery.Wound healing,functional recovery and complication rate were observed after surgery.Results:In this study,45 patients with hammock finger tendon were successfully followed up for 3 to 18 months,with an average follow-up of 1 year.The results of follow-up showed that all the incisions healed in one stage,and there were no complications such as skin infection and necrosis,exposed knots and skin irritation.X-ray reexamination before and after the operation showed,no complications such as loosening of the Kirkner needle,redisplacement of bone mass and nonunion of bone.During the follow-up period,there was no significant recurrence of vertical deformity.Crawford grading showed that,35 cases were excellent,9 were good,and 1 was fair.Conclusion:Using curved incision surgery to treat hammock finger tendon,which has the advantages of less trauma,faster recovery and fewer complications,and the effect is good.

Objective To construct a prognostic model of centrosome amplification-related genes(CARGs)by machine learning and evaluate its prediction performance for the prognosis of esophageal squamous cell carcinoma(ESCC).Methods CARGs were obtained from Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)datasets.The RNA-sequencing(RNA-seq)transcriptome datasets of ESCC were retrieved from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO),and assigned into training and validation sets,respectively.Subsequently,single-sample gene set enrichment analysis(ssGSEA)and weighted gene co-expression network analysis(WGCNA)were employed to screen CARGs.A prognostic model of CARGs was constructed by incorporating 12 machine learning algorithms,and univariate and multivariate Cox regression analyses were applied to evaluate whether the 12 models as an independent prognostic factor or not.Eventually,15 paired ESCC and adjacent non-tumor tissue samples were collected from the Department of Gastroenterology of the Second Affiliated Hospital of Army Medical University,and real-time quantitative PCR(RT-qPCR)and immunohistochemistry staining were performed to detect the expression of these genes ESCC samples.Results Our 9-CARGs prediction model for ESCC prognosis was constructed.RT-qPCR confirmed that the mRNA expression levels of DENR,TRIP13,BRCA2,TTF2,TCFL5 and NUP188 were significantly higher in ESCC tissues than normal tissues(P<0.05),and the protein levels of DENR,TRIP13,TTF2 and TCFL5 were also elevated when compared to normal tissues.Conclusion DENR,TRIP13,TTF2 and TCFL5 are highly expressed and closely associated with poor prognosis of ESCC,suggesting their potential roles in the pathogenesis and progression of this malignancy.

Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

OBJECTIVE To observe the current status and influencing factors for the water contamination of humid-ification tanks of ventilators of the patients undergoing invasive mechanical ventilation.METHODS Totally 139 hu-midified water samples were collected from the patients who received invasive mechanical ventilation in The First Medical Center of Chinese PLA General Hospital from Jul.2024 to Nov.2024.The humidified water samples were collected,cultured and identified on Day 1,3,5 and 7 after humidification tanks replacement.RESULTS Among the 139 samples,25 were tested positive for pathogens,with the positive test rate 17.99％;the positive test rate was highest(33.33％,8/24)in respiratory intensive care unit.The positive test rate was 12.90％on Day 1,18.42％on Day 3,15.00％on Day 5 and 26.67％on Day 7,showing an upward trend.The result of bacterial culture showed that the percentage of isolated Burkholderia cepacia was highest(36.00％).The result of analysis of the related factors for positive test of humidified water samples showed that the sample adding pattern was as-sociated with the isolation rate(P＜0.05).Only 1 case was diagnosed with ventilator-associated pneumonia(VAP)after the humidified water was detected with pathogens and varied in the pathogens.CONCLUSIONS There is an association between the status of water contamination of the ventilator humidification tanks and usage duration of humidification tank.It is necessary to attach great importance to the contamination of humidification tanks,carry out standard management,and implement the prevention and control measures in an all-round way.

ln the context of the high-quality development of public hospitals,research management is transitioning from a results-oriented approach to a full-process management model,necessitating the exploration of a governance system that integrates topic guidance,process support,and outcome transformation.Based on the Knowledge-to-Action and SECl model,it analyzes the construction logic and application effectiveness of the nursing research rounds mechanism at a teritary grade A hospital in Hainan Province.Through a"three-tier stratification+dual-track collaboration+full-process closed-loop"design,the mechanism bridges the chain from"clinical problem identification to research path optimization to outcome transformation",significantly enhancing research participation,research plan standardization,and research output.The findings validate the practical value of the research rounds mechanism in promoting knowledge transformation,capability enhancement,and organizational knowledge retention.

Developmental dysplasia of the hip (DDH) is the most common bone developmental disorder in children, emphasizing the need for effective, standardized, and accurate screening and treatment approaches. This paper reviews traditional ultrasound diagnostic methods for DDH in children aged 0-6 months and examines the latest advancements in artificial intelligence (AI)-assisted ultrasound technology. It compares the diagnostic accuracy, efficiency, and limitations of these approaches while addressing controversies surrounding the adoption of AI. Results indicate that AI-assisted ultrasound significantly outperforms traditional methods in both accuracy and efficiency but also raises concerns about over-diagnosis and over-treatment. Despite these challenges, AI-assisted ultrasound holds immense potential, and with technological advancements, it is expected to gain wider acceptance among clinicians, enhancing its application in clinical practice.