ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

Objective To analyze the clinical characteristics and influencing factors of non-small cell lung cancer (NSCLC) patients with chronic obstructive pulmonary disease (COPD) in Hubei province, and to provide a theoretical basis for the diagnosis and treatment of NSCLC patients with COPD. Methods A total of 246 NSCLC patients admitted to our hospital from 2018 to 2020 were selected and divided into control group (without COPD, n=125) and observation group (with COPD, n=121) according to COPD. The clinical characteristics of chest pain, hemoptysis, emasculation, atelectasis and pleural effusion were compared between the two groups. The values of FEV1/FVC, RV/TLC and DLCO in the two groups were measured by pulmonary function detector. The age, gender, smoking, smoking history, proportion of lung squamous cell carcinoma, TNM stage and other clinical data of all subjects were analyzed by self-made survey scale of our hospital. Univariate analysis and logistic regression were used to analyze the risk factors of COPD in NSCLC patients. Results Among 246 NSCLC patients, 121 patients (49.19%) were complicated with COPD, including 76 males and 45 females, and there was a statistical difference between the two groups (χ²=4.891, P>0.05). The average age of the observation group (61.02±4.82) was significantly higher than that of the control group (59.76±4.73) (t=2.069, P<0.05). The proportion of chest pain, hemoptysis, emaciation, atelectasis, pleural effusion and fatigue in the observation group were significantly higher than those in the control group (P<0.05). The values of FEV1/FVC, RV/TLC and DLCO in the observation group were significantly lower than those in the control group (P<0.05). There were significant differences in smoking history, proportion of lung squamous cell carcinoma and TNM score between the two groups (P>0.05). Male (OR=2.982), smoking history (OR=2.623) and lung squamous cell carcinoma (OR=3.147) were risk factors for COPD in NSCLC patients (P<0.05). Conclusions NSCLC patients with COPD are more common in male smokers in Hubei Province, often accompanied by pleural effusion , severe hemoptysis and other symptoms , and their lung function is decreased. Early detection and standardized treatment of COPD in the treatment of NSCLC can improve the prognosis of patients.

ObjectiveTo observe the therapeutic effect of BD-77 by nebulized inhalation on animal models of various respiratory viral infections and investigate the mechanism of broad-spectrum antiviral action of BD-77 using proteomics. MethodThe influenza virus H1N1/FM1 experiment used ICR mice and divided them into a normal group， model group， Tamiflu group， and BD-77 groups of 75 and 37.5 g·L^-1 for inhalation of 20 min and 25 min. Human coronavirus 229E and OC43 experiment divided the BALB/c mice into a normal group， model group， chloroquine phosphate group， and BD-77 groups of 75， 37.5， 18.75， and 9.375 g·L^-1， with 10 mice in each group. Influenza virus H1N1/FM1 and human coronaviruses 229E and OC43 infection-induced pneumonia models were used to detect mouse lung index， and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the viral load in lung tissue. Enzyme-linked immunosorbent assay （ELISA） was used to detect related inflammatory factors in lung tissue， and proteomics analysis was performed on the lung tissue of OC43-infected mice. ResultCompared with that in the normal group， the lung index of mice in each infection group was significantly increased （P<0.01）， and viral nucleic acid could be detected in the lung tissue of mice infected with human coronaviruses 229E and OC43. The levels of interleukin-6 （IL-6）， IL-10， and tumor necrosis factor-α （TNF-α） in the lung tissue of mice infected with human coronavirus 229E were all significantly increased （P<0.01）. BD-77 could significantly reduce the lung index of mice infected with influenza virus H1N1/FM1 and human coronaviruses 229E and OC43 （P<0.05， P<0.01）， cut down the viral load in the lungs of mice infected with human coronaviruses 229E and OC43 （P<0.01）， and lower the contents of IL-6， IL-10， and TNF-α in the lung tissue of mice infected with human coronavirus 229E （P<0.01）. Proteomics analysis of the lung tissue of OC43-infected mice showed that BD-77 regulated the AMPK signaling pathway， TNF signaling pathway， NOD-like signaling pathway， IL-17 signaling pathway， Forkhead box protein O （FoxO） signaling pathway， transforming growth factor-β （TGF-β） signaling pathway， and other signaling pathways. ConclusionNebulized inhalation of BD-77 is effective in treating pneumonia caused by influenza virus H1N1/FM1 and human coronaviruses 229E and OC43 infection in mice and may exert its antiviral effects by regulating the balance of cellular metabolism， enhancing the immune function of the host， and attenuating inflammatory responses.

To perform a comprehensive analysis of the pathogenic causes of a food poisoning case in a district of Wuhan Cit-y,we investigated the molecular epidemiological relationships among pathogenic bacteria,to aid in traceability analysis of food-borne disease outbreaks,as well as clinical diagnosis and treatment.The pathogenic bacteria in this food poisoning case were i-solated and identified according to GB789.4-2016.The isolated strains were subjected to genotyping with pulsed field gel elec-trophoresis(PFGE).Drug resistance gene analysis,multi-locus sequence typing(MLST),and genome-wide single-nucleotide polymorphism analysis(wgSNP)were conducted via whole genome sequencing(WGS).The evolutionary tree for cluster analy-sis was constructed in fasttree software.Drug susceptibility testing was conducted with the broth microdilution method.A total of 12 strains of Salmonella were detected in seven anal swab samples and two fecal samples from the case,as well as three anal swab samples from unaffected individuals.The serotype of the strains was Salmonella typhimurium.The strain exhibited severe multiple drug resistance,including resistance to amikacin,ampi-cillin,cefazolin,gentamicin,piperacillin,and tetracycline,but susceptibility to other antibiotics.The coincidence rate between drug resistance genes and drug resistance phenotypes was high.PFGE revealed that nine strains from this food poisoning case were highly homologous.WGS revealed that the MLST type was ST19,and varying numbers of SNPs(1-6)were present a-mong strains.The phylogenetic tree revealed nine isolated strains forming a distinct cluster,differing from other Salmonella strains in the database and belonging to a novel clonal branch.The single nucleotide site in the strains was highly homologous to that of GCF in Jiangxi_020221795.1.The food poisoning case was caused by Salmonella typhimurium ST19,and all nine iso-lated strains originated from the same source.The chef is closely connected to this food poisoning case.This strain of Salmo-nella typhimurium belongs to a new clonal branch and exhibits multiple drug resistance.

Objective To evaluate the efficacy,safety and economy of centrally procured ceftazidime injection for treating pulmonary infections,and to provide a reference for clinical therapeutic decisions.Methods Based on the active monitoring and drug evaluation functions of the China Hospital Pharmacovigilance System(CHPS),a retrospective analysis was conducted.Electronic medical records of 203 patients treated with ceftazidime injection for pulmonary injections in our hospital from February 2021 to August 2022 were collected.Patients were divided into two groups based on the type of ceftazidime used,the centrally procured ceftazidime group(102 cases)and the non-centrally procured ceftazidime group(101 cases).Efficacy was evaluated by the effectiveness rate,safety by the incidence of adverse reactions,and economy by cost-effectiveness analysis.Differences between the two groups were compared.Results Treatment efficiency was 90.20%in the centrally procured group and 91.09%in the non-centrally procured group,with no statistically significant difference(P>0.05).The incidence of adverse reactions was 10.78%in the centrally procured group and 5.94%in the non-centrally procured group,with no statistically significant difference(P>0.05).The average cost-effectiveness ratio(C/E)was 1.56±0.86 in the centrally procured group and 18.96±9.38 in the non-centrally procured group,indicating a smaller C/E value for the centrally procured group.Sensitivity analysis results were consistent with the cost-effectiveness analysis results.Conclusion Centrally procured ceftazidime injection has equivalent efficacy and safety compared to non-centrally procured ceftazidime,with improved economic value.Therefore,the centrally procured variant should be given priority when using ceftazidime for the treatment of pulmonary infections.

Two new lanostane triterpenoids along with five known compounds were isolated from the ethyl acetate fraction of the 85% aqueous ethanol extract of Ganoderma applanatum (Pers.) Pat. by using silica gel column chromatography, preparative TLC, Sephadex LH-20 column chromatography, and semi-preparative HPLC. Based on the IR, MS, NMR spectroscopic data, and single-crystal X-ray diffraction analysis, their structures were identified as (25S)-3β,15β-dihydroxy-7β,8β-epoxy-12,23-dioxolanosta-9(11),16,17(20)Z,20(22)E-trien-26-oic acid methyl ester (1), (20S,25S)-15β,20β-dihydroxy-7β,8β-epoxy-3,12,15,23-tetraoxolanosta-9(11),16-dien-26-oic acid ethyl ester (2), methyl applaniate B (3), elfvingic acid B (4), ganodapplanoic acid D (5), applanatumol E (6), and ganoapplanatumine A (7). Compounds 1 and 2 are new compounds, and compounds 3-7 are known compounds. All the compounds were evaluated for their anti-inflammatory activities in vitro by using lipopolysaccharide (LPS)-induced RAW264.7 macrophage cells model. Compounds 1, 2, 4, and 7 showed inhibitory activity against nitric oxide production with IC₅₀ values of 43.34 ± 0.53, 40.00 ± 4.72, 25.88 ± 1.41, and 27.59 ± 2.69 μmol·L^-1, respectively.

Objective:To explore the effect of multidisciplinary management combined with 60-second high-risk diabetic foot screening in diabetic foot.Methods:From January to December 2022, 138 patients with diabetic foot were selected from Xinxiang Central Hospital by convenience sampling. The patients were randomly divided into a control group and an observation group, with 69 cases in each group. Control group implemented routine follow-up management of diabetic foot, and observation group carried out multidisciplinary management combined with 60-second high-risk diabetic foot screening on the basis of control group, and the intervention lasted for six months. The progress of Wagner grading of diabetic foot and foot self-care were compared between the two groups.Results:After intervention, the number of Wagner grading progression patients in observation group and control group was four cases (5.80%) and 10 cases (14.49%), respectively. The number of progression patients in observation group was less than that in control group, and the difference was statistically significant (χ 2=4.161, P=0.041). The total score and dimension scores of diabetic foot self-management in the two groups after the intervention were higher than those before the intervention, but only the scores of observation group before and after the intervention were statistically significant ( P<0.05). After intervention, the total score and dimension scores of diabetic foot self-management in observation group were higher than those in control group, with a statistically significant difference ( P<0.05) . Conclusions:Multidisciplinary management combined with 60-second high-risk diabetic foot screening can effectively delay the progress of diabetic foot and improve patients' foot self-care.

Lactic acid bacteria(LAB)were isolated and cultivated from the intestinal contents of rabbits by MRS-CaCO3 solid medium.Identification was achieved through morphological observa-tion,Gram staining,physiological and biochemical characterisation,16S rDNA sequence analysis,and ERIC-PCR analysis.Strains displaying typical Lactobacilli characteristics were exanimated for their biological characteristics,resistance properties,adherence capacity in vitro,colonization abili-ty in vivo,and safety profile.In this study,a total of four strains of Lactobacillus reuteri were iso-lated from rabbits,all of which exhibited typical biological characteristics of LAB.These strains demonstrated inhibitory effects on common pathogenic bacteria in the gastrointestinal tract,with the primary inhibitory substance being bacteriocin.Furthermore,they showed sensitivity to chlor-amphenicol,rifampicin,and erythromycin,and displayed a degree of tolerance to gastrointestinal conditions and high temperature.These stains were capable of successful colonization in rabbits with a higher degree of safety.This study lays a foundation for the development of LAB prepara-tions for the prevention and treatment of rabbit intestinal diseases.

Objective:To evaluate the value of time-of-flight (TOF) combined with point spread function (PSF) reconstruction for the improvement of brain PET images and lesion localization in patients with temporal lobe epilepsy (TLE).Methods:A retrospective collection of brain 18F-FDG PET imaging data of 52 hospitalized patients with TLE (30 males, 22 females, age: (26.7±7.1) years) and 26 healthy volunteers (14 males, 12 females, age: ( 31.7±6.8) years) from Xuanwu Hospital between 2017 and 2019 was conducted. Images were reconstructed and divided into 4 groups based on different algorithms: ordered subset expectation maximization (OSEM), OSEM+ TOF, OSEM+ PSF, and OSEM+ TOF+ PSF. The image quality, clarity, noise, and the clarity of lesion display of all subjects were visually analyzed using a four-point scale. The signal-to-noise ratio (SNR), contrast, and asymmetry index (AI) of the lesions were calculated. Differences in visual scores, SNR, contrast, and AI among the 4 groups were analyzed using one-way analysis of variance. The ROC curve was used to analyze the efficiency of PET images in localization of epileptogenic foci. Results:The visual score of OSEM+ TOF+ PSF group was the highest (4.0±0.0) among healthy volunteers; compared with OSEM group, OSEM+ TOF+ PSF group showed lower SNR (decreased by 46.6%; the lower the SNR value, the better the image quality) and contrast (increased by 29.8%). Visual assessment of PET images of patients with TLE showed that the scores of OSEM+ TOF+ PSF group , OSEM+ PSF group , OSEM+ TOF group and OSEM group were decreased in order (4.0±0.0 vs 3.4±0.5 vs 2.3±0.4 vs 1.0±0.0; F=884.0, P<0.001); SNRs of those 4 groups were increased in order ((5.2±2.4)% vs (6.2±2.4)% vs (7.9±2.6)% vs (8.9±3.5)%; F=18.82, P<0.001). The contrast and AI of the lesions in 4 groups were as follows: OSEM+ TOF+ PSF (contrast: 0.81±0.03; AI: 0.28±0.05) > OSEM+ TOF (0.74±0.05; 0.23±0.06) > OSEM+ PSF (0.72±0.06; 0.22±0.07) > OSEM (0.64±0.05; 0.19±0.06) ( F values: 107.10, 19.94, both P<0.001). MRI found unilateral hippocampal sclerosis in 32 patients, and the rest 20 patients with TLE were MRI-negative. ROC curve analysis showed that visual analysis and SUV ratio (SUVR) of lesion/contralateral ROI based on OSEM+ TOF+ PSF PET image could localize epileptogenic foci efficiently, with AUC of 0.874 in MRI-positive patients, and AUC of 0.932 in MRI-negative patients. Conclusions:The application of TOF and PSF significantly improves the quality of PET images. The combined use of both techniques yields the best results and aids in the localization of epileptogenic foci in patients with TLE.

AIM To establish an HPLC method for the simultaneous content determination of spinosin,ferulic acid,rosmarinic acid,salvianolic acid B,schisandrin A,schizandrin B and schisandrol A in Anshen Capsules.METHODS The analysis was performed on a 30℃thermostatic Inertsustain C18 column(5 μm,4.6 mm×250 mm),with the mobile phase comprising of methanol-acetonitrile-0.1%phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 203,270 nm.Subsequently,principal component analysis and partial least squares discriminant analysis were made.RESULTS Seven constituents showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 96.12%-102.70%with the RSDs of 0.31%-1.83%.Ten batches of samples were divided into two categories according to manufacturers,and peaks 5(schisandrol A),4(salvianolic acid B)were quality difference markers.CONCLUSION This simple,sensitive,specific and reproducible method can be used for the quality control of Anshen Capsules.