Objective: To investigate the microbial mechanisms of Banxia Xiexin Decoction (半夏泻心汤, BXXXD) in the treatment of esophageal precancerous lesions. Methods: A total of 30 specific pathogen-free (SPF) grade female C57BL/6J mice were randomly assigned to a control group (n = 6) and a 4-nitroquinoline 1-oxide (4-NQO)-exposed group (n = 24). Esophageal precancerous lesions were induced by providing the 4-NQO-exposed group with 4-NQO in drinking water (100 μg/mL) for 17 consecutive weeks, whereas control group received sterile drinking water. After model establishment, the mice in 4-NQO-exposed group were further randomized into model group and three BXXXD-treated groups: low-dose (BXXXD-L, 3.7 g/kg), medium-dose (BXXXD-M, 7.4 g/kg), and high-dose (BXXXD-H, 14.8 g/kg) groups (n = 6 per group). During the subsequent intervention period, mice in control and model groups were gavaged with sterile water, while mice in BXXXD groups were gavaged once daily with the corresponding dose of BXXXD aqueous extract for 4 weeks. Histopathological changes in esophageal tissues were observed by hematoxylin and eosin (HE) staining. The fecal and esophageal microbiota were profiled via 16S rDNA high-throughput sequencing to evaluate bacterial diversity, community structure, and co-occurrence networks. BXXXD chemical fingerprints were analyzed using ultra-high-performance liquid chromatography coupled with quadrupole QExactive Orbitrap mass spectrometry (UHPLC-QE-MS). Serum short-chain fatty acids (SCFA) level was quantified by targeted metabolomics using gas chromatography-mass spectrometry (GC-MS). Transcriptomic analysis of esophageal tissues was performed to assess gene expression profiles. Results: Compared with model group, BXXXD-M group exhibited reduced mucosal hyperplasia and more orderly epithelial cell arrangement, with superior therapeutic effects in comparison with both BXXXD-L and BXXXD-H groups (P < 0.01). Microbiota analysis revealed that BXXXD increased the abundance of beneficial Enterococcus and reduced pathogenic Escherichia-Shigella in the esophagus. In the gut, BXXXD elevated the relative abundance of beneficial taxa, including Lactobacillus, Dubosiella, Bacteroides, and Faecalibacterium. Targeted metabolomics showed that BXXXD significantly reduced total serum SCFA level (P < 0.01). Transcriptomic analysis indicated that BXXXD downregulated the expression of genes associated with the progression, migration, and invasion of esophageal cancer, which were identified as kallikrein-related peptidase 6 (Klk6), defensin beta 4 (Defb4), family with sequence similarity 3 member B (Fam3b), carboxypeptidase A4 (Cpa4), serum amyloid A1 (Saa1), and chitinase-like 1 (Chil1) (P < 0.05). Conclusion BXXXD may reduce the expression levels of esophageal cancer-related genes and improve esophageal precancerous lesions through modulation of the gut microbiota and metabolites.

Due to the inherently complex anatomical structure and physiological charac-teristics of the biliary system, biliary surgery faces considerable challenges in key stages such as preoperative planning, intraoperative identification, and postoperative management. These challenges contribute to a persistently high incidence of complications, severely affecting patient prognosis and overall survival. In recent years, with the continued advancement of interdisciplinary integration between medicine and engineering, intelligent digital technologies, centered on digital medicine, big data, and medical artificial intelligence, have been increasingly applied in the field of biliary surgery, offering new solutions to these longstanding problems. The authors systematically review recent advances and clinical applications of intelligent digital technologies in biliary surgery, and explore the evolution from clinical needs to technological innovation and practical implementation. The aim is to facilitate the transition of biliary surgery from an experience-based approach to an intelligent and precision-driven paradigm, thereby improving surgical safety and patient outcomes.

Objective To investigate the influencing factors associated with early neurological deterioration(END)in patients with minor acute ischemic stroke(mAIS),develop a clinical prediction model for END,and identify independent risk factors for 90-day neurological functional outcomes after stroke.Methods mAIS patients admitted consecutively to the Department of Neurology,Yijishan Hospital of Wannan Medical College(the First Affiliated Hospital of Wannan Medical College),from July 2023 to July 2024 were retrospectively collected.A minor ischemic stroke was defined as acute ischemic stroke with a National Institutes of Health stroke scale(NIHSS)score≤5 on admission.Baseline,clinical,and imaging data of all mAIS patients were collected and recorded,including demographic information(age,sex),past medical history(hypertension,diabetes mellitus,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,alcohol consumption,baseline blood pressure,pre-onset modified Rankin scale(mRS),NIHSS scores at admission and during hospitalization(24 hours,48 hours,72 hours after admission),motor component subscore of the NIHSS scores,NIHSS scores at discharge,trial of Org 10172 in acute stroke treatment(TOAST)classification,laboratory indicators(fasting blood glucose,hemoglobin A1c[HbA1c],total cholesterol,triglycerides,high-density lipoprotein,low-density lipoprotein),clinical treatment information(intravenous thrombolysis,mono antiplatelet therapy,dual antiplatelet therapy,anticoagulation therapy)and length of stay.The status of stenosis and occlusion in the culprit vessel were assessed based on imaging results.Mild-to-moderate stenosis was defined as a stenosis rate of 0％to 69％,severe stenosis as a stenosis rate of 70％to 99％,and occlusion as complete interruption of the supplying artery.END was defined as an increase in NIHSS score of ≥2 points from baseline within 72 hours after admission,combined with an increase of at least 1 point in the motor score compared to the score at admission.Prognosis was assessed via telephone follow-ups at 90-day after onset using mRS score,with an mRS score ≤ 2 indicating a favorable outcome and an mRS score＞2 indicating a poor outcome.Variables with P＜0.05 in the univariate analysis were incorporated into multivariate Logistic regression analysis to identify the independent risk factors for END in mAIS patients.A nomogram model was constructed,and calibration curves along with decision curve analysis were plotted to evaluate the model's goodness-of-fit and clinical utility.Univariate and multivariate Logistic regression analyses were performed to identify factors associated with poor 90-day functional outcome after mAIS.Results(1)A total of 826 patients were included,aged 33-94 years,with a median age of 67(57,76)years.There were 571 males and 255 females.The NIHSS score at admission ranged from 0 to 5,with a median NIHSS score at admission of 3(2,4).The NIHSS motor subscore at admission ranged from 0 to 5,with a median baseline NIHSS motor score of 2(0,2).Among them,119 patients(14.4％)were in the END group and 707 patients(85.6％)were included in the non-END group.At 90days after stroke,744 patients(90.1％)had a favorable outcome,while 82 patients(9.9％)had a poor outcome.(2)Univariate analysis showed that there were statistically significant differences between the END group and the non-END group in terms of HbA1c,fasting blood glucose,baseline NIHSS score,baseline NIHSS motor subscore,history of alcohol consumption,diabetes mellitus,culprit vessel stenosis and occlusion,and TOAST classification(all P＜0.05).Statistically significant differences were observed between the favorable outcome group and the poor outcome group in HbA1c,fasting blood glucose,incidence of END,baseline NIHSS score,discharge NIHSS score,culprit vessel stenosis and occlusion,TOAST classification,and history of alcohol consumption(all P＜0.05).(3)Multivariate Logistic regression analysis indicated that mAIS patients with severe stenosis of the culprit vessel(OR,5.88,95％CI2.32-14.91,P＜0.01),occlusion of the culprit vessel(OR,5.74,95％CI 2.25-14.62,P＜0.01),history of alcohol consumption(OR,5.59,95％CI3.41-9.17,P＜0.01),elevated HbA1c(OR,1.67,95％CI 1.35-2.08,P＜0.01),and higher baseline NIHSS motor score(OR,1.43,95％CI 1.08-1.89,P=0.012)had an increased risk of END.A higher discharge NIHSS score(OR,2.59,95％CI 1.89-3.57,P＜0.01)and the occurrence of END(OR,18.42,95％CI 5.13-66.18,P＜0.01)were associated with poor 90-day functional outcome after mAIS.(4)The nomogram model constructed based on independent risk factors of END in mAIS patients demonstrated an AUC of 0.78(95％CI 0.73-0.83)for predicting END,with a sensitivity of 0.8 and a specificity of 0.7.The model showed good calibration,and the Hosmer-Lemeshow test indicated good agreement between predicted and observed values(P=0.333).Decision curve analysis revealed that the model provided a high net benefit across a range of high-risk thresholds(0.1-0.7),suggesting its potential clinical utility.Conclusions Severe stenosis of the culprit vessel,occlusion of the culprit vessel,glycated hemoglobin levels,baseline NIHSS motor subscale scores,and history of alcohol consumption are independent risk factors for END in patients with mAIS.The nomogram model constructed based on these factors demonstrated good predictive performance.END and NIHSS scores at discharge are independent predictors of poor 90-day outcomes in patients with mAIS.

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 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 construct the training program for the digital and intelligent capabilities of specialized nurses in the Central Sterile Supply Department(CSSD),and conduct preliminary practice to provide talent support for the intelligent development of CSSD.Methods From February to April 2024,based on the core technologies of digital intelligence and related core capabilities,a training program for digital intelligence-related competencies of CSSD specialized nurses was constructed using literature review and the Delphi expert consultation method.From July to August 2024,the program was initially implemented in the training of CSSD specialized nurses.The nurses'information competency before and after the training was compared,and the nurses' satisfaction with the digital intelligence-related training program was assessed.Results This study conducted 2 rounds of expert consultation via questionnaire.The effective recovery rate of the questionnaires in both rounds was 100％.The expert authority coefficients were 0.790 and 0.800,respectively,and the variation coefficients ranged from 0 to 0.229 and 0 to 0.105.Ultimately,a training program for the digital-related competencies of CSSD specialty nurses was established,which includes 4 components:training objectives,training content,training methods,and assessment methods.Specifically,there were 3 indicators at the first level and 14 at the second level for training objectives,6 indicators at the first level and 32 at the second level for training content,and 6 indicators at the first level for training methods and assessment methods.After the implementation of the training program,the information competency of the nurses in all dimensions and the total score were significantly higher than those before training(P＜0.05).Moreover,the average scores for the training content,training methods,and assessment methods were all above 3 points,indicating a high overall satisfaction among the nurses.Conclusion The construction process of the training program for the digital and intelligent capabilities of CSSD specialty nurses is scientific and reliable.The content is highly practical and distinctive in its specialty.The training methods and assessment approaches are diverse.This program can enhance nurses' information competency and provide a reference for the implementation of digital and intelligent training for CSSD specialty nurses.

Objective To observe the complication incidences after percutaneous lung biopsy and sealed the tract with different sealants.Methods A total of 129 patients with solitary pulmonary nodule who underwent CT-guided percutaneous lung biopsy were retrospectively included and divided into group A(n=37),B(n=47)and C(n=45).The biopsy tract was sealed with sealant A(1 g gelatin sponge particles mixed with 10 ml 50％glucose solution)in group A,with sealant B(1 g gelatin sponge particles mixed with 10 ml normal saline)in group B,while with sealant C(1 g gelatin sponge particles mixed with the coagulant enzyme from Bothrops atrox venom and 10 ml normal saline)in group C.The incidence rate of complications such as pneumothorax and hemoptysis were comparatively observed among groups.Binary logistic regression was performed to screen the independent influencing factors associated with complications of percutaneous lung biopsy.Results No significant difference of gender,age,proportion of smoking history nor emphysema,diameter of pulmonary nodules,depth of puncture into lung parenchyma nor times of puncture was found among groups(all P＞0.05).Complications occurred in 43 cases(43/129,33.33％),i.e.27 cases in group B(27/47,57.45％),11 cases in group A(11/37,29.73％)and 5 cases in group C(5/45,11.11％),and the complication rates decreased order of group B,A and C(all P＜0.05).Compared with sealant A,sealant B was associated with increased risk(OR[95％CI]=3.190[1.183,8.598],P=0.022),whereas sealant C was associated with reduced risk(OR[95％CI]=0.266[0.079,0.889],P=0.031)of complications.Conclusion After percutaneous lung biopsy,the complication incidences decreased sequentially when the needle tract was sealed with saline B,A and C.

Objective To investigate the registration and epidemiological characteristics of notifiable infectious diseases in a tertiary hospital in Guangzhou during 2020-2024,providing evidence for infectious disease prevention,control,and hospital infection management.Methods A retrospective analysis of surveillance data on statutory infectious diseases reported by the hospital from 2020 to 2024 was conducted using descriptive epidemiological methods.Results From 2020 to 2024,a total of 46229 cases of notifiable infectious diseases were reported at a tertiary hospital in Panyu District,Guangzhou,with an annual in-crease in reporting rates.Disease classifications showed Category B diseases accounted for 29.64％(13 703 cases),Category C diseases for 43.04％(19 895 cases),and other legally managed diseases for 27.32％(12 631 cases).Male patients signifi-cantly outnumbered female patients(63.8％ vs.36.2％).The most frequently reported infectious diseases were influenza(11 603 cases,25.10％),hand-foot-and-mouth disease(6 188 cases,13.4％),and hepatitis B(4 110 cases,8.9％).Sta-tistically significant differences(P＜0.05)were observed in disease composition ratios across years,age groups,genders,and seasons.Seasonal distribution was notable:influenza was prevalent in winter and spring(41.99％,27.16％),hand-foot-and-mouth disease peaked in summer(26.10％),and liver fluorosis was prominent in autumn(22.40％).Conclusion Notifiable infectious diseases exhibit distinct population and seasonal distribution patterns.Prioritized prevention and control measures should focus on influenza,hand-foot-mouth disease,and hepatitis B,with an integrated prevention and control system tailored to high-risk population characteristics and seasonal epidemiological patterns.

Objective To explore the correlation between plasma T cell subsets,serum interleukin-6(IL-6)levels and CT imaging characteristics in children with mycoplasma pneumoniae pneumonia(MPP),as well as its predictive value for clinical prognosis.Methods A total of 98 children with MPP were selected as the research subjects and divided into the good prognosis group(n=62)and the poor prognosis group(n=36)according to the clinical prognosis.The correlations between plasma T cell subsets,IL-6 levels,CT imaging characteristics and prognosis were analyzed.The predictive efficacy of plasma T cell subsets and IL-6 levels for poor progno-sis was analyzed.Results The levels of C-reactive protein(CRP),tumor necrosis factor-α(TNF-α),IL-6,CD8+and CD19+in the poor prognosis group were significantly higher than those in the good prognosis group,while the levels of CD3+,CD4+,CD4+/CD8+and CD16+/CD56+were significantly lower than those in the good prognosis group(P＜0.05).The statistical conditions of CT ima-ging characteristics such as pulmonary consolidation,ground-glass change,involvement of lung lobes ≥ 2,patchy consolidation shad-ows,grid nodular shadows,bronchial wall thickening,hilar lymph node enlargement,pleural effusion,and atelectasis in the poor prognosis group were significantly higher than those in the good prognosis group(P＜0.05).CD3+,CD4+,CD8+,CD4+/CD8+,CD19+,CD16+/CD56+and IL-6 had independent correlations with the above CT imaging characteristics.IL-6,CD8+and CD19+were positively correlated with the risk of poor prognosis,while CD3+,CD4+,CD4+/CD8+and CD16+/CD56+were negatively correlated with the risk of poor prognosis(P＜0.05).Individual detection of CD3+,CD4+,CD8+,CD4+/CD8+,CD19+,CD16+/CD56+,IL-6 and the combined detection of the seven indicators had certain predictive value for the occurrence of poor prognosis in patients[area under the curve(AUC)＞0.7].Conclusion Plasma T cell subsets and serum IL-6 levels are important factors influencing the prognosis of children with MPP and are independently related to the CT imaging characteristics.

Due to the inherently complex anatomical structure and physiological charac-teristics of the biliary system, biliary surgery faces considerable challenges in key stages such as preoperative planning, intraoperative identification, and postoperative management. These challenges contribute to a persistently high incidence of complications, severely affecting patient prognosis and overall survival. In recent years, with the continued advancement of interdisciplinary integration between medicine and engineering, intelligent digital technologies, centered on digital medicine, big data, and medical artificial intelligence, have been increasingly applied in the field of biliary surgery, offering new solutions to these longstanding problems. The authors systematically review recent advances and clinical applications of intelligent digital technologies in biliary surgery, and explore the evolution from clinical needs to technological innovation and practical implementation. The aim is to facilitate the transition of biliary surgery from an experience-based approach to an intelligent and precision-driven paradigm, thereby improving surgical safety and patient outcomes.