To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

ObjectiveTo construct and validate a predictive model for hepatic encephalopathy （HE） in patients with end-stage liver disease （ESLD） by combining key indicators such as cytokines and Model for End-Stage Liver Disease （MELD） score， and to provide evidence-based support for the early identification of high-risk populations and the optimization of intervention strategies in clinical practice. MethodsA retrospective analysis was performed for 2 167 patients with ESLD who were admitted to The Third People’s Hospital of Kunming from January 2022 to December 2024， the patients were divided into a training set with 1 517 patients and a validation set with 650 patients at a ratio of 7∶3 using the stratified random sampling method. A univariate analysis and a least absolute shrinkage and selection operator （LASSO） regression analysis were performed for the training set to identify potential influencing variables， and then a binary Logistic regression model was constructed to investigate the independent influencing factors for HE in ESLD patients. A nomogram prediction model was established based on this regression model， and the Hosmer-Lemeshow goodness-of-fit test was performed. The receiver operating characteristic （ROC） curve， calibration curves， decision curve analysis， and clinical impact curve were used to comprehensively evaluate the degree of fit， accuracy， consistency， and clinical practicability of the predictive model derived from the training set. The Mann-Whitney U test was used for comparison of non-normally distributed quantitative data between two groups. The chi-square test or Fisher exact test was used for comparison of categorical data between two groups. ResultsThe univariate analysis showed that there were significant differences between the study group and the control group in age， sex， blood ammonia， lymphocytes， hemoglobin， platelet count， prothrombin time， fibrinogen， international normalized ratio， total bilirubin， aspartate aminotransferase， total protein， albumin， prealbumin， alkaline phosphatase， cholinesterase， total bile acid， triglyceride， total cholesterol， high-density lipoprotein， low-density lipoprotein， blood glucose， CD3⁺ T cells， CD4⁺ T cells， CD8⁺ T cells， high-sensitivity C-reactive protein， carcinoembryonic antigen， triiodothyronine， thyroxine， free triiodothyronine， free thyroxine， interleukin-1β， interleukin-5， interleukin-6， interleukin-8， interleukin-12p70， interleukin-17， interferon-γ， and MELD score （all P<0.05）. The LASSO regression analysis identified nine variables of age， blood ammonia， albumin， prealbumin， cholinesterase， total cholesterol， thyroxine， interleukin-17， and MELD score， and the binary Logistic regression analysis showed that blood ammonia， interleukin-17， and MELD score were independent risk factors for HE in ESLD patients， while age and thyroxine were independent protective factors （all P<0.05）. A nomogram model was constructed based on these five variables. The Hosmer-Lemeshow goodness-of-fit test in the training set showed a good degree of fit （P=0.207）， with a McFadden’s pseudo-R² of 0.184， suggesting that the model had acceptable explanatory power； the Hosmer-Lemeshow goodness-of-fit test in the internal validation set further confirmed the calibration stability of the model （P=0.067）， suggesting that the model had a good degree of fit in independent data. The model had an area under the ROC curve of 0.784 in the validation set， with a sensitivity of 0.710 and a specificity of 0.752. The mean absolute error of the calibration curve was 0.067， and decision curve analysis and clinical impact curve showed that the nomogram model had positive net benefit and good clinical practicability. ConclusionThe nomogram model constructed based on age， blood ammonia， thyroxine， interleukin-17， and MELD score for predicting HE in patients with ESLD has a good degree of fit， high accuracy and consistency， and excellent clinical practicability.

The incidence of malignant tumors among elderly patients is increasing.Influenced by multiple factors such as aging,tumor,and drug,this population exhibits a high prevalence of renal insufficiency.However,there remains a scarcity of research data and significant challenges in clinical management.This article systematically an-alyzes the challenges faced in administering anti-tumor therapies to elderly patients with renal insufficiency and pro-poses management strategies.Optimization approaches include precise assessment of renal function,selection of nephrotoxicity-sparing medications,appropriate dose adjustments,implementation of preventive measures,and em-phasis on comprehensive geriatric assessment and multidisciplinary collaboration.Renal injury management should be individualized,with considerations for special populations such as renal transplant recipients and dialysis pa-tients.Future efforts should focus on biomarker discovery and the development of low-nephrotoxicity therapeutic agents to address these complex clinical challenges.

Objective To discuss the effect of interleukin-17A(IL-17A)and transforming growth factor-β1(TGF-β1)on the benign tracheal stenosis after tracheal injury in experimental dogs.Methods The trachea stenosis model of healthy Beagle dogs was established by burning the middle part of trachea with electric snare under bronchoscopy guidance.A total of 21 dogs were divided into normal group(n=3,receiving normal feeding),molding group(n=12,after airway modeling every 3 dogs were sacrificed each week for 4 weeks),IL-17A suppression group(n=3,receiving Secukinumab after airway modeling),and IL-17A inhibitor+TGF-β1 inhibitor group(n=3,receiving Secukinumab and SB43154 after airway modeling).Bronchoscopy and CT scan were performed once a week,and the stenosis degree was calculated.RT-qPCR,immunohistochemistry,and HE staining of the obtained tracheal tissues were performed.Results Within 1-4 weeks after molding,in module-making dogs the degree of stenosis of the injured trachea gradually increased,and the expressions of ECM-related proteins,TGF-β1 and IL-17A were up-regulated.After treatment with IL-17A inhibitors,the inflammatory infiltration and granulation tissue hyperplasia were reduced and the early tracheal stenosis was improved(P＜0.05).The combination use of IL-17A inhibitor and TGF-β1 inhibitor had a better remission effect(P＜0.05).Conclusion IL-17A and TGF-β1 may synergistically affect the formation of tracheal stenosis.

Objective To analyze the diagnostic value of serum biomarkers in patients with pulmonary tuberculosis complicated by invasive pulmonary aspergillosis.Methods A retrospective collection of laboratory test results,including blood analysis,liver function,lymphocyte counts,and cytokine levels,from 54 patients diagnosed with pulmonary tuberculosis and invasive pulmonary aspergillosis admitted to the Third People's Hospital of Kunming between January 2021 and May 2024.Additionally,70 patients with simple pulmonary tuberculosis and 50 healthy individuals were collected as control groups to compare serum biomarker levels across the three groups and analyze relevant factors and diagnostic value for pulmonary tuberculosis patients with invasive pulmonary aspergillosis.Results Among different age groups,the incidence of pulmonary tuberculosis with invasive pulmonary aspergillosis was 29 cases(53.7％)in youth,15 cases(27.8％)in middle age,and 10 cases(18.5％)in the elderly.In terms of gender distribution,there were 41 males(75.9％)and 13 females(24.1％).The serum levels of CRP(6.85[2.10,27.0])ng/L,PCT(0.05[0.05,0.15])ng/mL,RBC(4.55±0.65)× 1012/L,Hb(129.13±19.10)g/L,TP(66.23±6.82)g/L,ALB(37.03±4.77)g/L,and CHOL(4.30[3.71,4.91])mmol/L in the invasive pulmonary aspergillosis group showed no significant difference compared to the simple tuberculosis group and healthy control group(P＞0.05).The levels of CD3+T,CD4+T,and CD8+T in the invasive pulmonary aspergillosis group were significantly lower than those in the simple tuberculosis group and healthy control group(P＜0.05).The levels of IL-2,IL-4,IL-5,IL-8,IL-10,IL-12p70,IFN-α,and TNF-α in the invasive pulmonary aspergillosis group were significantly higher than those in the healthy control group(P＜0.05);IL-8,IL-12p70,and IFN-α were also higher compared to the simple tuberculosis group,with statistical significance(P＜0.05).Conclusion The population with pulmonary tuberculosis complicated by invasive pulmonary aspergillosis is predominantly male and younger.The serum indicators of infection severity and nutritional status in these patients are similar to those with simple tuberculosis and lack specificity;however,their immune function is significantly lower than that of simple tuberculosis patients.Multiple cytokines are elevated,particularly IL-8,IL-12p70,and IFN-α,which can aid in the differential diagnosis of pulmonary tuberculosis infection.

Objective To analyze the influencing factors of chronic liver failure in patients with primary hepatic carcinoma(PHC)before intervention,and to establish and evaluate a nomogram risk prediction model.Methods A retrospective analysis was conducted by collecting general data and clinical test data within 24 hours of admission for PHC patients.Univariate analysis and Lasso regression were used for variable selection,followed by multivariate logistic regression analysis to identify independent influencing factors for CLF before PHC intervention,leading to the establishment of a nomogram risk prediction model.The model was evaluated using the Hosmer-Lemeshow test,receiver operating characteristic(ROC)curve,calibration curve,clinical decision curve,and clinical impact curve.Result A total of 353 cases of PHC patients were collected,including 153 cases in the liver failure group and 200 cases in the non-liver failure group,with a prevalence rate of 43.3％.Variables selected by Lasso regression included gastrointestinal bleeding,prothrombin time(PT),albumin(ALB),total bilirubin(TBIL),and gamma glutamyl transferase(GGT).Multivariate logistic regression analysis showed that gastrointestinal bleeding(OR=13.549,95％CI:2.899～63.322,P=0.001),PT(OR=1.599,95％CI:1.282～1.995,P＜0.001),TBIL(OR=1.016,95％CI:1.006～1.025,P=0.002),and GGT(OR=1.002,95％CI:1.000～1.003,P=0.028)were independent risk factors for chronic liver failure prior to PHC intervention,leading to the establishment of a nomogram risk prediction model.The Hosmer Lemeshow test showed that the model had a good fit(x2=6.152,P＞0.05);the area under ROC was 0.902(0.869-0.934),with a sensitivity of 80.4％and a specificity of 87.5％.The calibration curve indicated that the model predicts chronic liver failure prior to PHC intervention with good consistency.Clinical decision curve analysis and clinical impact curve analysis showed that the model has good clinical utility within a certain threshold range.Conclusion Gastrointestinal bleeding,PT ≥16.05s,TBIL≥37.80 mmol/L,and GGT≥ 99.00 U/L are independent risk factors for the occurrence of chronic liver failure before PHC intervention.The established nomogram risk prediction model has certain clinical application value in predicting the risk of chronic liver failure before PHC intervention.

AIM:To investigate the modulatory effects of electroacupuncture(EA)on spinal cord neurons au-tophagy in rats with bone cancer pain.METHODS:(1)Verification of autophagy-related protein expression at different time points in a bone cancer pain model:a total of 56 female Sprague-Dawley(SD)rats were randomly divided into a sham-operated(sham)group and a model group.The model group was further subdivided into 6 subgroups corresponding to time points of 3,6,9,12,15,and 18 d,with 8 rats per subgroup.Thermal and mechanical pain thresholds,tibial bone destruction,and spinal neuron marker neuronal nuclear antigen(NeuN)co-localized with LC3B,Beclin1,and P62 were examined in rats at each designated time point.(2)Changes in spinal autophagy proteins following EA intervention:an additional 40 rats were randomly assigned to sham group,model group,EA group,sham EA(SEA)group,and autoph-agy agonist rapamycin(Rap)group,with 8 animals per group.EA was administered to the rats in EA group beginning on day 6 after modeling,the rats in SEA group received needle insertion without electrical stimulation,while those in Rap group received intraperitoneal injections of rapamycin(5 mg/kg).Thermal pain thresholds were assessed at designated in-tervals,followed by mechanical pain threshold assessments conducted on the subsequent day.Treatment continued until day 21,with rapamycin administered at the end of each intervention day.Tibial bone destruction was evaluated using he-matoxylin-eosin(HE)staining.Expression levels of LC3B Ⅱ/LC3B I,Beclin1,and P62 proteins in the spinal cord were determined by Western blot and immunohistochemistry.RESULTS:(1)Compared with the Sham group,thermal and mechanical pain thresholds were significantly decreased in the model group starting from day 6(P<0.01).Rat tibial bones exhibited notable damage,with severity progressively increasing over time.Protein expression levels of LC3B Ⅱ/LC3B I,Beclin1,and P62 were significantly elevated in the spinal cord at various time points(P<0.01),and these pro-teins were co-localized with spinal cord neurons.(2)Compared with the model group,mechanical and thermal pain thresholds in the EA and Rap groups gradually increased,with statistically significant differences observed from days 8 and 6 onward,respectively(P<0.01).In addition,LC3B Ⅱ/LC3B I and Beclin1 protein expression levels were signifi-cantly upregulated(P<0.01),whereas P62 expression was markedly downregulated(P<0.01).Immunohistochemical analysis demonstrated significantly enhanced positive staining for LC3B Ⅱ/LC3B I and Beclin1 and significantly decreased positive staining for P62 in the spinal cord of rats in the EA and Rap groups(P<0.05).Notably,no significant differences were observed in the SEA group(P>0.05).CONCLUSION:EA promotes spinal cord neurons autophagy in rats with bone cancer pain.The enhancement of autophagy may represent a potential mechanism underlying the analgesic effect of EA in bone cancer pain.

With the rapid development of artificial intelligence(AI),how to digitize the teaching of Medical Immunology is a new challenge posed by the times and education.This study is based on the advanced teaching model of Medical Immunology,which includes lectures-PAD class-flipped classrooms-expert lecture.By introducing knowledge mapping and AI teaching assistant into the entire learning process,the students not only deepen their understanding of the knowledge system of Medical Immunology,but also ex-ercise their ability to apply immunological knowledge to solve practical clinical problems,enhance their self-learning ability,expres-sion ability,communication ability,on-site performance ability,and cultivate a spirit of unity,cooperation,and exploration.The practice of empowering Medical Immunology teaching with digital intelligence achieves the integration of theory and application,the linkage between in class and out of class teaching,the connection between commonalities and individualities,and the union of abili-ties and qualities in Medical Immunology teaching.It also provides practical basis for exploring the implementation path of digital intel-ligence empowerment in Medical Immunology teaching.

Objective:To understand the clinical manifestations, laboratory characteristics, and treatment of Staphylococcus aureus ( Sa) infection in children, and explore the predictive value of lymphocyte count, neutrophil to lymphocyte ratio(NLR), and high-sensitivity C-reactive protein to albumin ratio(CAR) in patient with secondary bloodstream infection(BSI). Methods:A retrospective analysis was conducted on 72 children with Sa infection admitted to the Nanchong Hospital of Beijing Anzhen Hospital Affiliated to Capital Medical University from January 2020 to April 2024. Clinical data including basic information, drug resistance, antibiotic treatment were collected. Differences in laboratory test results and inflammatory indicators were analyzed. The influencing factors of Staphylococcus aureus bacteraemia(SAB) in pediatric patients were analyzed using univariate/multivariate Logistic regression and correlation analysis. The predictive value was analyzed by receiver operating characteristic curve (ROC) and area under curve (AUC). Results:Seventy-two patients were selected, of whom 60 (83.33%) had skin and soft tissue infections (SSTIs), mainly community-associated Staphylococcus aureus(CA-SA)(50 cases), including 16 community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) cases (32.00%, 16/50). The detection rate of MRSA was 37.50% (27/72). The resistance rates of Sa to penicillin, clindamycin, and erythromycin were 97.22%(70/72), 69.44%(50/72), and 69.44%(50/72), respectively. Compared with the SSTIs group, the levels of lymphocyte count in children with bone and joint infections were significantly lower, while NLR and CAR levels were higher ( P<0.05). Fourteen patients had secondary SAB. In the secondary SAB group, lymphocyte counts were lower, while inflammatory indicators (NLR, CAR), and D-dimer were higher. CAR and NLR are positively correlated with the occurrence of bloodstream infections ( P<0.05). CAR ( OR=4.866, 95% CI: 1.37-17.25) and NLR ( OR=1.293, 95% CI: 1.032-1.620) were independent risk factors for secondary bloodstream infection, and ROC curve results showed that the combination of the two indicators had a higher sensitivity (0.929) and AUC (0.909) than individual testing. After undergoing effective treatment, the levels of CAR and NLR in the children in the secondary SAB group were significantly reduced. Wound infection patients underwent debridement treatment in 38 cases (52.78%, 38/72), while antibiotic treatment still primarily used first- and second-generation cephalosporins. For patients with secondary bloodstream infection, vancomycin was the first choice. Conclusions:Children′s wound infections with Sa primarily involve skin and soft tissue infections, commonly seen in CA-SA. NLR and CAR are independent risk factors for children with secondary bloodstream infection, and their combined detection has certain value for early diagnosis.