Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

[Purpose]To analyze the cost-effectiveness and cost-utility conducted on the lung can-cer screening project in urban areas of Anhui Province,and to provide suggestions for the formu-lation of lung cancer screening policies in Anhui Province.[Methods]A Markov decision model for low-dose computed tomography(LDCT)lung cancer screening intervention was established based on on-site survey data and literature data.The development of the population under different interventions was simulated,using saved life years(LYS)and quality-adjusted life years(QALY)as effectiveness indicators,to conduct cost-effectiveness and cost-utility analyses of different screening strategies.Cost data were discounted at a 3％discount rate.[Results]The screening schemes of once a year,once every two years,once every three years,and once every five years all meet the cost-effectiveness principle for saving one LYS or QALY.Among them,the best screening strategy in terms of cost-effectiveness and cost-utility was the LDCT lung cancer screening strategy once every two years,with costs of 72 441.54 CNY and 71 050.24 CNY,respectively.[Conclusion]The LDCT lung cancer screening program demonstrates good cost-effectiveness,with strategies of dif-ferent screening frequencies being viable options.The optimal screening strategy is screening once every two years.

This study aims to investigate the effects of Pulsatilla powder(PP)on colonic intestinal flora and tryptophan metabolism in piglets with diarrhea.Twenty-four weaned piglets were ran-domly divided into the normal control group,model group,self-healing group,and PP group.The model of piglet diarrhea was established by the compound factor of external evil+internal injury+epi-demic virus,and treated with PP.During the modeling period,the body weight,mental status and fecal patterns of piglets were monitored daily.After the experiment,the colon tissues were collect-ed for histopathological observation,and the inflammatory factors IL-1β and IL-6 in the colon tis-sue was detected by ELISA,16S rRNA was used to analyze colonic intestinal flora and RT-qPCR was used to determine the expression of genes related to tryptophan metabolism in the colon.The results showed that,compared with the model group,PP significantly improved the pathological status of the colon in piglets with diarrhea,with elevated body mass and a significant increase in goblet cells(P＜0.05);and significantly reduced the levels of IL-1β and IL-6 in the colon of diar-rhea piglets(P＜0.05).The results of intestinal flora showed that PP increased the abundance of Firmicutes(P＜0.01),Spirochaeota(P＜0.01)and Lactobacillus(P＜0.05),reduced the abun-dance of Bacteroidota(P＜0.05)、Prevotella_NK3B31_group(P＜0.05)and Clostridium_sensu_stricto 1(P＜0.01).Meanwhile,PP significantly reduced the expression level of TPH1 mRNA(P＜0.05),increased the expression levels of AhR(P＜0.05)and IL-22 mRNA in the co-lon of diarrhea piglets.These results indicates that PP may alleviate diarrhea in piglets by regula-ting colonic intestinal flora and genes related to intestinal tryptophan metabolism.This study pro-vides data support for the subsequent investigation of piglet diarrhea prevention and treatment.

OBJECTIVE T o explore the long-term effect of multidimensional evidence-based interventions based on i-PARIHS theoretical framework on reduction of incidence of central line-associated bloodstream infections(CLABSI)in pediatric intensive care units(PICU)of pediatrics department and evaluate the impact on nurses'compliance to taking the interventions and use intensity of catheters.METHODS By means of quasi-experimental design,the multidimensional intervention system covering multidisciplinary collaboration,standardized operation procedures,information system optimization and hierarchical training was established and staged for implementa-tion of 5 years(from T0 baseline stage to T3 maintenance stage).The variations in implementation rates of cathe-ter maintenance(daily maintenance,dressings change,catheter removal)were analyzed by Chi-square test,and the change of incidence of CLABSI was monitored with the use of statistical process control U chart.RESULTS The nurses'compliance to operations was remarkably improved(P＜0.05)o The implementation rate of dressings change continuously increased from 52.91％in T0 to81.62％in T3(x2=72.444,P＜0.001),the implementa-tion rate of catheter removal increased from 48.72％to 79.31％(x2=8.179,P=0.042).The incidence rate of CLABSI decreased from 1.92％0 in 2019 to 0.5％0 in 2022,and the control chart showed that most of the months fluctuated within control limits.CONCLUSIONS The multidimensional evidence-based interventions can achieve a long term control of CLABSI by raising the nurses' compliance to operations.The information monitoring and closed-loop management are crucial to maintenance of the interventional effect,and the risk early warning system should be optimized with the combination of artificial intelligence technology.

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

Stereotactic radiotherapy is widely favored because of its high treatment precision and less fractionations.ZND-A is a new domestic gamma-ray cone-beam focused stereotactic radiotherapy system.Herein the technical characteristics of ZND-A system are described in detail from the aspects of the treatment frame,gamma-ray module,collimator module,six-dimensional treatment couch module and image-guided system module,and the main parameters are compared with the mainstream gamma knife equipments at home and abroad.With reference to Response Evaluation Criteria in Solid Tumors(RECIST 1.1),the initial efficacy of the patients treated by the ZND-A system is analyzed to evaluate the advantages and disadvantages of the ZND-A system for providing a reference for the hospital clinical use of this type of gamma knife.

BACKGROUND: The potential impact of pre-existing coronary artery stenosis (CAS) on right ventricular (RV) function during acute pulmonary embolism (PE) episodes remains underexplored. This study aimed to investigate the association between pre-existing CAS and RV dysfunction in patients with acute PE. METHODS: In this multicenter, case-control study, 89 cases and 176 controls matched for age were enrolled at three study centers (Peking Union Medical College Hospital, Fuwai Hospital, and the Second Affiliated Hospital of Harbin Medical University) from January 2016 to December 2020. The cases were patients with acute PE with CAS, and the controls were patients with acute PE without CAS. Coronary artery assessment was performed using coronary computed tomographic angiography. CAS was defined as ≥50% stenosis of the lumen diameter in any coronary vessel >2.0 mm in diameter. Conditional logistic regression analysis was used to evaluate the association between CAS and RV dysfunction. RESULTS: The percentages of RV dysfunction (19.1% [17/89] vs. 44.6% [78/176], P <0.001) and elevated systolic pulmonary artery pressure (sPAP) (19.3% [17/89] vs. 39.5% [68/176], P = 0.001) were significantly lower in the case group than those in the control group. In the multivariable logistic regression model, CAS was independently and negatively associated with RV dysfunction (adjusted odds ratio [OR]: 0.367; 95% confidence interval [CI]: 0.185-0.728; P = 0.004), and elevated sPAP (OR: 0.490; 95% CI: 0.252-0.980; P = 0.035), respectively. CONCLUSIONS Pre-existing CAS was significantly and negatively associated with RV dysfunction and elevated sPAP in patients with acute PE. This finding provides new insights into RV dysfunction in patients with acute PE with pre-existing CAS.
Humans ; Pulmonary Embolism/complications* ; Case-Control Studies ; Male ; Ventricular Dysfunction, Right/physiopathology* ; Female ; Middle Aged ; Aged ; Coronary Stenosis/complications* ; Logistic Models ; Adult

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

The objective of this study was to evaluate the protective effect and possible related mechanisms of Sophora subprostrate polysaccharide(SSP)on intestinal epithelial cell injury in-duced by Tert-Butyl hydroperoxide(TBHP).The optimal dose of TBHP and the safe concentra-tion range of SSP were determined using the MTT method.In this study,IPEC-J2 cells were divid-ed into five groups:the control group,the model group,the SSPL group,the SSPM group and the SSPH group,and the cell morphology,cell survival rate and LDH release rate were observed and measured.The content of intracellular reactive ROS was observed and determined by DCFH-DA staining.The content of MDA in the supernatant and the antioxidant index of cells were determined by the reagent kit.Transcriptome technology was employed to analyze the potential mechanisms by which SSP mitigates oxidative damage in IPEC-J2 cells.The results showed that treatment with 625 μmol/L TBHP for 2 h significantly reduced the activity of IPEC-J2 cells,markedly increased LDH release(P＜0.05),inhibited CAT superoxide SOD and glutathione GPX activities(P＜0.05),and significantly elevated MDA and ROS levels(P＜0.05).Compared to the model group,after SSP treatment,intracellular ROS levels were significantly reduced(P＜0.05),while CAT,SOD,and GPX activities were significantly increased(P＜0.05),and MDA content and LDH re-lease were significantly decreased(P＜0.05)in a dose-dependent manner.Transcriptome analysis revealed that TBHP treatment significantly altered the transcriptional profiles of IPEC-J2 cells,while SSP treatment could restore the transcriptional profiles of the damaged cells to a certain ex-tent.Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)indicated that the differentially expressed genes between the CC and TBHP groups were significantly enriched in oxidative phosphorylation,ribosome,and other pathways.Meanwhile,the differentially expressed genes between the SSP and TBHP groups were mainly enriched in oxidative phosphorylation,ap-optosis,glyoxylate and dicarboxylate metabolism,and other pathways.These results suggest that TBHP may disrupt normal oxidative respiration in IPEC-J2 cells by affecting oxidative phospho-rylation and interfering with metabolism pathways involving glycine,serine,and threonine,leading to oxidative damage in intestinal epithelial cells.Conversely,SSP treatment may potentially restore oxidative phosphorylation processes,alleviate lysosomal damage,reduce cell apoptosis,and miti-gate oxidative damage in intestinal epithelial cells through modulation of oxidative phosphoryla-tion,apoptosis,and lysosomal pathways.This discovery provides a theoretical basis for the clinical application of SSP in alleviating oxidative damage in the porcine intestinal tract.