OBJECTIVE To investigate the effects of peiminine B （PEI） on Streptococcus pneumoniae （SP）-induced alveolar epithelial cell injury by regulating the Ras-related C3 botulinum toxin substrate 1 in nucleus accumbens （Rac1）/protein kinase B （Akt）/nuclear factor κB （NF-κB） signaling pathway. METHODS Human alveolar epithelial cells （HPAEpiC） were taken and randomly divided into the Control group， SP group （1×108 cfu/mL SP bacterial solution）， low-， medium-， and high-concentration PEI groups （1×108 cfu/mL SP bacterial solution+0.05， 0.10， 0.20 mmol/L PEI）， and high-concentration PEI+Akt activator group （P-H+SC79 group， 1×108 cfu/mL SP bacterial solution+0.20 mmol/L PEI+10 μmol/L SC79）. Except for the Control group， the other groups of cells were treated with SP bacterial solution and/or corresponding drug solution. After 24 h of treatment， the levels of inflammatory factors （interleukin-6， -18， -1β） in the supernatant solution， the contents of oxidative stress indexes [lactate dehydrogenase （LDH）， reactive oxygen species （ROS） and superoxide dismutase （SOD）]， apoptosis rate， as well as the expressions of proliferation/apoptosis-related proteins [cyclin-dependent kinase 1 （CDK1）， B cell lymphoma-2 related X protein （Bax）] and pathway-related proteins （Rac1， Akt， phosphorylated Akt， NF-κB and phosphorylated NF-κB） were detected in each group. RESULTS Compared with the Control group， the levels of inflammatory factors in supernatant solution， LDH and ROS contents， apoptosis rate， the protein expressions of Bax and Rac1 and the phosphorylation levels of Akt and NF-κB in the SP group were significantly increased or up-regulated， while SOD content and the protein expression of CDK1 were significantly decreased or down-regulated （P＜0.05）. Compared with the SP group， the above indexes in PEI groups were significantly improved in a concentration-dependent manner （P＜0.05）. SC79 could significantly reverse the improvement effect of the high concentration of PEI （P＜0.05）. CONCLUSIONS PEI can alleviate SP-induced inflammation and oxidative stress damage of alveolar epithelial cells and inhibit apoptosis， which may be achieved by inhibiting Rac1/Akt/NF-κB signaling pathway.

OBJECTIVE To provide technical support for improving recognition rate of adverse drug events （ADEs） related to traditional Chinese medicine （TCM） formula granules and decoction pieces among inpatient patients. METHODS By referencing the global trigger tool （GTT） whitepaper， literature on adverse reactions to TCM， and expert review opinions， ADE trigger items for TCM formula granules and decoction pieces used in the inpatients were established. GTT was applied to analyze ADEs in inpatients who had used TCM formula granules and decoction pieces in our hospital from August 2013 to August 2023， utilizing the Chinese Hospital Pharmacovigilance System. The effectiveness of GTT and the characteristics of these ADEs were analyzed. RESULTS A total of forty-eight triggers were established， including thirty-two laboratory test indexes， thirteen clinical symptoms， and three antidotes. Among the 1 682 patients included， GTT identified 652 potential ADEs， 284 true positive ADEs，with a trigger rate of 38.76% and a positive predictive value of 43.56%. After review by the auditor， 278 cases of ADEs were finally confirmed， with an incidence rate of 16.53%， significantly higher than the number of spontaneously reported ADEs during the same period （0）. The 278 cases of ADEs were mostly grade 1 （223 cases）， mainly involving hepatobiliary system， gastrointestinal system， blood- lymphatic system， etc；a total of 219 types of TCMs are involved，and the top five suspected TCMs used at a frequency higher than 1% were Poria cocos， Codonopsis pilosula， Atractylodes macrocephala， fried Glycyrrhiza uralensis， and Scutellaria baicalensis. CONCLUSIONS The established GTT can improve the recognition rate of ADEs for hospitalized patients using traditional Chinese medicine formula granules and decoction pieces.

Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.

Objective·To explore the causal relationship between air pollution and the risk of Alzheimer's disease(AD)by using two-sample Mendelian randomization(MR).Methods·Based on the data from the genome-wide association study(GWAS),a two-sample MR analysis was conducted to evaluate the causal relationship between air pollution and the risk of AD.Air pollution indicators,including particulate matter 2.5(PM2.5),particulate matter 2.5-10(PM2.5-10),particulate matter 10(PM10),nitrogen dioxide and nitrogen oxides,were used as exposure factors,and summarized data were aggregated from the UK Biobank database.The PM2.5 dataset included 423 796 cases,with correlation analysis conducted on 9 851 867 single nucleotide polymorphisms(SNPs);the PM2.5-10 dataset included 423 796 cases,with correlation analysis conducted on 9 851 867 SNPs;the PM10 dataset included 455 314 cases,with correlation analysis conducted on 9 851 867 SNPs;the nitrogen dioxide dataset included 456 380 cases,with correlation analysis conducted on 9 851 867 SNPs;the nitrogen oxides dataset included 456 380 cases,with correlation analysis conducted on 9 851 867 SNPs.AD was used as the outcome factor,and data were obtained from the International Genomics of Alzheimer's Project(IGAP).The AD dataset included 25 580 cases and 48 466 controls,with correlation analysis of 7 067 513 SNPs.SNPs significantly associated with AD were used as instrumental variables.The main analysis was conducted by using the inverse variance weighted(IVW)method,and four methods including weighted median,MR-Egger regression,mode-based simple estimation and mode-based weighted estimation were used for quality control.Heterogeneity testing,gene pleiotropy testing and sensitivity analysis were conducted to assess the reliability of the study results.Results·Heterogeneity testing indicated no evidence of heterogeneity among SNPs associated with air pollution indicators and AD(both IVW and MR-Egger results,P＞0.05).Gene pleiotropy testing did not detect any pleiotropic effects(MR-Egger results,P＞0.05).Sensitivity analysis confirmed the stability of the PM2.5 results.IVW analysis revealed a statistically significant association between PM2.5 and AD in European populations(P＜0.001),while no statistically significant associations were observed between PM2.5-10(P=0.664),PM10(P=0.664),nitrogen dioxide(P=0.284),nitrogen oxides(P=0.567)and AD.Conclusion·There is a significant causal relationship between PM2.5 exposure and the risk of AD,with PM2.5 exposure increasing the incidence of AD.However,no evidence has been found to suggest that PM2.5-10,PM10,nitrogen dioxide or nitrogen oxides cause an increased risk of AD.

[Objective]To investigate the application effect of micro-lecture combined with workshop education mode in home Chinese medicine retention enema for patients with ulcerative colitis(UC).[Methods]Eighty patients with UC who needed home Chinese medicine retention enema of Compound Qingdai Enema in Zhejiang Provincial Hospital of Chinese Medicine from June 2022 to June 2024 were selected and randomly divided into control group and experimental group,40 cases in each group.Control group received the routine health education,while experimental group received micro-lecture combined with workshop education mode.The scores of Chinese medicine retention enema and satisfaction with nursing were evaluated in the two groups within 1 day after intervention.The clinical intestinal symptoms,quality of life,anxiety and depression scores of patients were evaluated before intervention and 6 months after intervention.[Results]After the intervention of micro-lecture combined with workshop mode,the theoretical score of Chinese medicine retention enema in experimental group was(98.35±0.80),the operational score was(92.48±3.86),the nursing satisfaction score was(96.93±1.70),the quality of life score was(176.11±21.11),the anxiety score was(34.56±5.69),and the depression score was(33.41±5.69).In control group,the theoretical score was(92.02±2.01),the operational score was(80.05±3.07),the nursing satisfaction score was(92.40±2.12),the quality of life score was(161.29±20.56),the anxiety score was(42.31±5.33),and the depression score was(41.63±5.12).The scores of theoretical and operational assessment,nursing satisfaction,each item of clinical intestinal symptoms,quality of life,anxiety and depression in experimental group were significantly higher than those in control group(P<0.05).[Conclusion]Compared with conventional health education,the micro-lecture combined workshop education mode can improve the cognition and operation level of home Chinese medicine retention enema in patients with UC,reduce the anxiety and depression levels of patients,promote the relief of clinical intestinal symptoms,improve quality of life and nursing satisfaction.

Objective:To analyze the research and development of control system for airbag pressure of intelligent tracheal catheter,and its application effect in clinical practice.Methods:The hospital designed an intelligent self-adaptive control system for cuff pressure of tracheal catheter,which can rationally apply main components such as single chip microcomputer,display screen,control panel,pressure monitoring module,inflation device and solenoid valve,etc..This control system connected the measuring module of pressure through single chip microcomputer,so as to continuously detect the airbag pressure of tracheal catheter.An inflation and deflation algorithm was independently researched and developed to control air pump or solenoid valve to inject or release part of the gas to the airbag,so as to achieve intelligent control for the pressure of airbag.Sixty patients underwent endotracheal intubation who admitted to the department of general surgery of Wuhan Hospital of Traditional Chinese Medicine from January 2022 to January 2023 were selected as the study objects,and they were divided into control group(n=30)and observation group(n=30)according to random number table method.The cuff pressure of endotracheal intubation of patients in control group were managed by conventional method.The intelligent adaptive control system was adopted to manage the cuff pressure of endotracheal intubation for patients in the observation group.The complications,compliance rate of airbag pressure,the instantaneous maximum value of airbag pressure during sputum aspiration,insertion of gastric tube,and turning over of body were compared between the two groups after intubation.Results:The incidence of complication included cough,trachyphonia,dysphagia and bloody sputum after tracheal intubation in the observation group were 6.66%,which was significantly lower than 33.33%in the control group,and the difference was statistically significant(x2=6.667,P<0.05).The compliance rate of the pressure(25-30cmH2O)of airbag in the control group was 92.83%,which was significantly lower than 97.78%in the observation group,and the difference was statistically significant(x2=14.698,P<0.05).The instantaneous maximum values of airbag pressure during sputum aspiration,insertion of gastric tube and turning over were(28.24±3.65)cmH2O,(27.98±4.25)cmH2O and(28.65±4.87)cmH2O in observation group,respectively,which were significantly lower than those in control group,and the differences were significant(t=17.930,19.208,16.485,P<0.05).Conclusion:The application of intelligent adaptive control system for cuff pressure of tracheal catheter can maintain the airbag pressure of tracheal catheter at normal level(20-30 cmH2O),and reduce complications,and improve the compliance rate of airbag pressure.

Objective:To explore the effect of staged pressure therapy, in addition to rehabilitation training, on scar hyperplasia and motor function after a deep hand burn.Methods:Sixty patients with deep hand burns were randomly divided into a control group ( n=30) and an observation group ( n=30). In addition to specialized burn treatment and early rehabilitation training, the control group was given routine pressure treatment, while the observation group was provided with staged pressure therapy for 6 months. Before the treatment and after 3 and 6 months of treatment, scar hyperplasia and hand function in both groups was evaluated using the Vancouver scar scale (VSS), grip strength and pinch strength tests, and the Jebsen hand function test (JHFT). Total active motion (TAM) and total passive motion (TPM) of the finger joints was quantified, and any complications during the treatment were recorded. Results:After 3 and 6 months of the treatment, all of the observations in both groups had improved significantly, but the improvements were significantly better among the treatment group, on average.Conclusions:Staged pressure therapy can more effectively inhibit scar hyperplasia after a deep hand burn. In conjunction with rehabilitation training, it better improves the mobility of the finger joints, hand muscle strength and the recovery of hand function. It is worthy of clinical promotion and application.

Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.

Objective To explore the relationship between systemic immune-inflammation index(SⅡ)at admission and occurrence of early neurological deterioration(END)in patients with branch atheromatous disease(BAD).Methods A retrospective analysis was performed on 326 BAD patients admitted in Department of Neurology of Handan Central Hospital from October 2021 to February 2024.Based on occurrence of END or not,they were divided into END group(97 cases)and non-END group(229 cases).Clinical data of the patients were collected,and multivari-ate logistic regression analysis was used to identify the END risk variables in BAD patients.ROC curve was plotted to evaluate the value of NIHSS score,hs-CRP and SⅡ in predicting the inci-dence of END in the patients.Results Significantly advanced age,higher NIHSS score at admis-sion,and elevated hs-CRP level,neutrophil count and SⅡ,but lower platelet and lymphocyte counts were observed in the END group than the non-END group(P＜0.05,P＜0.01).Multi vari-ate logistic regression analysis indicated that NIHSS score at admission(OR=1.134,95％CI:1.050-1.226,P=0.001),hs-CRP(OR=1.131,95％CI:1.024-1.249,P=0.015),and SⅡ(OR=1.001,95％CI:1.001-1.002,P=0.003)were independent risk factors for END in BAD patients.The AUC value of SⅡ in the prediction of END was 0.660,which was significantly higher than that of NIHSS score and hs-CRP in BAD patients(P＜0.05).Conclusion SⅡ is an independent risk factor for END in BAD patients,and SⅡ at admission has a certain predictive value for the oc-currence of END in these patients.

Objective:To analyze the genetic characteristics of the prevalent strains of Varicella-Zoster virus (VZV) in the population of Dali, Yunnan, and to understand its evolutionary status in the population of Dali.Methods:Herpes fluid and 163 sera were collected from 249 patients clinically suspected to have varicella or herpes zoster in the Department of Dermatology of the Second People′s Hospital of Dali city, Yunnan province, China, from 2023 to 2024. The levels of VZV-specific IgG and IgM antibodies in serum were detected using enzyme-linked immunoassay. Viral DNA was extracted from the herpes fluid, and the cycle threshold ( Ct) of the samples was detected using quantitative real-time polymerase chain reaction (qPCR), and some samples with Ct ≦ 22 were selected for sequencing by next-generation sequencing technology (next-generation sequencing). Next-generation sequencing (NGS) was used to obtain 90 whole genome sequences of VZV, and the sequencing result were compared with the sequences of reference strains for multiple sequence comparison and evolutionary analysis. Snapgene was used to translate the nucleotides into amino acids, and the result were compared with the amino acid sequences of the reference strain. Results:Of the 90 VZV whole-genome sequences, one whole-genome sequence was from an adult varicella patient, and the remaining 89 whole-genome sequences were from herpes zoster patients. The serum-specific IgG antibody positivity rate was 99.4%, and the IgM antibody positivity rate was 52.8%. The result of both single nucleotide polymorphism (SNPs) site typing and genome-wide phylogenetic tree analysis showed that 83 of the 90 VZV whole-genome sequences in this study were on the same branch as Clade 2, and 7 VZV whole-genome sequences were on the branch of Clade 9.Conclusions:The main endemic branch in Dali region in 2023-2024 was Clade 2, with the emergence of Clade 9 branch; there were amino acid mutations in the proteins encoded by ORF22 and ORF68 in 83 VZV whole genome sequences of Clade 2 branch, and the mutations did not cause significant changes to the protein structure.