ObjectiveTo interpret the main contents of the Expert Consensus on Clinical Application of Yifei Zhike Capsules （hereinafter referred to as the Consensus）， analyze its evidence basis， and explore future research directions， thus providing a reference for rational drug use in clinical practice. MethodsThe core contents of the Consensus are summarized. Focusing on clinical issues， this paper summarizes the recommendations and consensus suggestions in the Consensus and explains them from aspects such as indications， key advantages， usage and dosage， combined medication， contraindications， precautions， and safety. ResultsThe Consensus clearly states that Yifei Zhike capsules can be used for acute or chronic bronchitis， pulmonary tuberculosis and other respiratory system diseases. It for the first time proposes that the applicable TCM syndrome of Yifei Zhike capsules is Qi-Yin deficiency together with combined phlegm and stasis. For different diseases， the Consensus provides specific usage instructions， dosage， and treatment course recommendations， supplementing the contents not covered in the drug instructions. In terms of combined medication， the Consensus emphasizes the principle of using this drug in combination with standardized chemotherapy regimens or conventional Western medicines and the applicability for the treatment of pulmonary tuberculosis and moderate to severe acute or chronic bronchitis. In terms of safety， the Consensus proposes methods for identifying common adverse reactions， drug contraindications， and precautions based on a review of the existing data and preliminarily builds a risk management framework. However， the evidence on which the Consensus is based are mostly early studies， with small sample sizes， which result in the low evidence grades （mainly C and D） of some recommendations. ConclusionThe Consensus provides specific guidance for the clinical use of Yifei Zhike capsules. However， due to the limited quality of the existing research evidence， more high-quality clinical studies are needed in the future to further verify its efficacy， safety， and explore its broader application prospects.

Cardiotoxicity is a critical issue in drug development that poses serious health risks,including potentially fatal arrhythmias.The human ether-à-go-go related gene(hERG)potassium channel,as one of the pri-mary targets of cardiotoxicity,has garnered widespread attention.Traditional cardiotoxicity testing methods are expensive and time-consuming,making computational virtual screening a suitable alter-native.In this study,we employed machine learning techniques utilizing molecular fingerprints and descriptors to predict the cardiotoxicity of compounds,with the aim of improving prediction accuracy and efficiency.We used four types of molecular fingerprints and descriptors combined with machine learning and deep learning algorithms,including Gaussian naive Bayes(NB),random forest(RF),support vector machine(SVM),K-nearest neighbors(KNN),eXtreme gradient boosting(XGBoost),and Trans-former models,to build predictive models.Our models demonstrated advanced predictive performance.The best machine learning model,XGBoost Morgan,achieved an accuracy(ACC)value of 0.84,and the deep learning model,Transformer_Morgan,achieved the best ACC value of 0.85,showing a high ability to distinguish between toxic and non-toxic compounds.On an external independent validation set,it achieved the best area under the curve(AUC)value of 0.93,surpassing ADMETlab3.0,Cardpred,and CardioDPi.In addition,we explored the integration of molecular descriptors and fingerprints to enhance model performance and found that ensemble methods,such as voting and stacking,provided slight improvements in model stability.Furthermore,the SHapley Additive exPlanations(SHAP)explanations revealed the relationship between benzene rings,fluorine-containing groups,NH groups,oxygen in ether groups,and cardiotoxicity,highlighting the importance of these features.This study not only improved the predictive accuracy of cardiotoxicity models but also promoted a more reliable and scientifically interpretable method for drug safety assessment.Using computational methods,this study facilitates a more efficient drug development process,reduces costs,and improves the safety of new drug candidates,ultimately benefiting medical and public health.

Objective:To explore the potential categories of internal ability of elderly patients with ischemic stroke, identify the influencing factors and propose corresponding nursing interventions.Methods:This was a cross-sectional study. From January 2025 to May 2025, the elderly patients with ischemic stroke in Tianjin Huanhu Hospital were selected by convenient sampling method. The general information questionnaire, the Internal Capacity Assessment Scale for the Older People, the Health Literacy Scale for stroke patients and the Perceived Social Support Scale were used to investigate. To determine latent categories of patients' intrinsic capacity, potential profile analysis was employed. Subsequently, multivariable Logistic regression examined factors associated with these categories.Results:A total of 260 survey questionnaires were distributed, and 256 valid questionnaires were finally collected, with an effective response rate of 98.46% (256/260). Among of them, there were 166 males and 90 females, aged 68.00 (63.00, 74.00) years.The intrinsic ability of elderly patients with ischemic stroke could be divided into three potential categories: low sensation-low exercise group (27.0%, 69/256), relatively stable intrinsic ability group (37.5%, 96/256) and low cognition-low psychology group (35.5%, 91/256). Multivariable Logistic regression showed that advanced age (compared to the low sensation-low exercise group, OR=0.902; compared to the relatively stable intrinsic ability group, OR=0.813), smoking (compared to the low sensation-low exercise group, OR=0.459; compared to the relatively stable intrinsic ability group, OR=0.442), the lower the Barthel index (compared to the low sensation-low exercise group, ≤40 points with OR=0.157; 41-60 points with OR=0.285) were more likely to enter the low cognition-low psychology group (all P<0.05); other chronic disease types ≤1 (compared to the low cognition-low psychology group, OR=2.630), higher health literacy scores (compared to the low cognition-low psychology group, OR=1.033) were more likely to enter the relatively stable intrinsic ability group (both P<0.05); and stroke frequency was the first occurrence (compared to the low cognition-low psychology group, OR=2.725) was more likely to enter the low sensation-low exercise group ( P<0.05). Conclusions:In older adults with ischemic stroke, the characteristics of intrinsic ability are clearly categorized. To enhance patient outcomes, healthcare professionals are advised to tailor nursing interventions based on the unique features and specific influencing factors associated with each potential category.

Objective:To investigate the attention level of oral medicine residents in standardized training (referred to as residency training) to oral aesthetic information and its influencing factors.Methods:This study was a cross-sectional study, which included 262 residents undergoing standardized training at Hospital of Stomatology, Wuhan University in January 2020. Among them, there were 73 males and 189 females, with an age range of 23-33 (26±2) years. A questionnaire survey method was used, and the questionnaire included the basic characteristics of the subjects (gender, grade, major, identity, and having training experience in prosthodontic base or not) as well as their attention to oral aesthetic information (facial proportions, facial midline, smile line, facial contour, E-line, nasolabial angle, tooth shape and contour, and tooth proportions). Differences in the attention to oral aesthetic information among residents with different basic characteristics were compared, and a multivariable logistic regression was used to identify the influencing factors.Results:Among the 262 oral medicine residents, 256 (97.7%) believed that it was necessary to pay attention to oral aesthetic information. The differences in attention to facial proportions between residents of different genders and between those with and without training experience in the prosthodontic base were statistically significant (both P<0.05). The results of the multivariate logistic regression showed that male residents were less likely to pay attention to facial proportions compared with female residents ( OR=0.45, 95% CI: 0.23-0.88). Compared with residents specializing in orthodontics, non-orthodontic residents were less likely to pay attention to the E-line ( OR=0.14-0.27, 95% CI: 0.04-0.68) and nasolabial angle ( OR=0.14-0.31, 95% CI: 0.04-0.81). Residents who were graduate students with integrated four certificates were more likely to pay attention to the E-line compared with industry-based personnel ( OR=1.88, 95% CI: 1.01-3.49). Residents without training experience in the prosthodontic base were less likely to pay attention to the facial proportion ( OR=0.44, 95% CI: 0.20-0.97) and tooth shape and contour ( OR=0.33, 95% CI: 0.11-0.98) compared with those with such training experience in prosthodontic base. Conclusions:Oral medicine residents have a high level of attention to oral aesthetic information. Gender, major, identity, and having training experience in the prosthodontic base or not are factors that influence their attention to oral aesthetic information.

Objective:To investigate the clinical value of the prediction models constructed by CT based imaging features and radiomics for World Health Organization/International Society of Urological Pathology (WHO/ISUP) grading in pre-operative patients with T1 clear cell renal cell carcinoma (ccRCC).Methods:Ninety patients with ccRCC diagnosed at Hangzhou Hospital of Traditional Chinese Medicine from January 2016 to December 2023 were enrolled as the training set, and 43 patients diagnosed at the Sir Run Run Shaw Hospital from January 2017 to December 2018 were enrolled as the external validation set. According to the WHO/ISUP grading system, grades Ⅰ and Ⅱ were defined as the low grade group, and grades Ⅲ and Ⅳ were defined as the high grade group. In the training set, 64 patients were in the low grade group and 26 patients in the high grade group. In the external validation set, 33 patients were in the low grade group and 10 patients in the high grade group. The multivariate logistic regression was used to establish an imaging factor model based on CT imaging features in the training set. The 3-dimensional regions of interest were manually contoured at the cortical phase of enhanced CT, and the radiomics features were extracted. Linear correlation between features and L1 regularization were used for feature selection, and then linear support vector classification was used to construct the radiomics model. After that, a combined diagnostic model of nomogram combining the radiomics score and imaging factors was constructed using multivariate logistic regression analysis. The receiver operating characteristic (ROC) curve was used to evaluate the effectiveness of each model. The Delong test was used for comparison of the areas under the ROC curve.Results:The imaging factor model, the radiomics model, and the combined diagnostic model of nomogram were successfully constructed to predict the WHO/ ISUP grading in stage T1 ccRCC. The AUC value of the imaging factor model in the training and validation sets was 0.742 (95% CI: 0.623-0.860) and 0.664 (95% CI: 0.448-0.879), respectively. The AUC values of the radiomics model in the two sets were 0.914 (95% CI: 0.844-0.983) and 0.879 (95% CI: 0.718-1.000), and of the combined diagnostic model of nomogram in the two sets were 0.929 (95% CI: 0.858-0.999) and 0.882 (95% CI: 0.710-1.000), respectively. The AUCs of the radiomics model and combined diagnostic model of nomogram were significantly higher than that of the imaging factor model (both P＜0.05). There was no statistical difference in the AUCs between the combined diagnostic model of nomogram and the radiomics model (both P＞0.05). Conclusion:The CT-based radiomics model and combined diagnostic model of nomogram incorporating radiomics signature and imaging features showed favorable predictive efficacy for the preoperative prediction of WHO/ISUP grading in stage T1 ccRCC.

Objective:To investigate the clinicopathological and molecular genetic characteristics of intracranial mesenchymal tumors with FET::CREB fusion transcript.Methods:The clinical and imaging data of 6 cases of intracranial mesenchymal tumors with FET::CREB fusion from December 2018 to December 2023 were collected at the First Affiliated Hospital of Zhengzhou University. Their histological features, immunophenotype and molecular characteristics were analyzed.Results:Among the 6 patients, 4 were males and 2 were females, and the median age was 20 years. The clinical symptoms were increased intracranial pressure in 5 cases and epilepsy in 1 case. The lesion sites were cerebellum (2 cases), frontal lobe (2 cases), parietal lobe (1 case), and cranioorbital communication (1 case). The radiological features mainly showed solid or cystic components, with obvious annular enhancement on MRI. The histopathological features showed a wide spectrum of morphology, clear boundaries and fibrous pseudocapsule. The tumor cells were arranged in a lamellar or nodular pattern, and some in cord or loose network. The tumor cells were spindle, oval, epithelioid or stellate. The stroma was collagenous or mucin-rich, and accompanied by abundant lymphocytes and plasma cells infiltration. By immunohistochemical staining, desmin, CD99 and EMA were expressed in 6 cases, CD68 in 1 case, MUC4 in 1 case, synaptophysin in 2 cases, and ALK in 1 case. The Ki-67 proliferation index was between 1%-15%. Molecular analysis showed EWSR1::ATF1 fusion in 3 cases, EWSR1::CREB1 fusion in 2 cases, and EWSR1::CREM fusion in 1 case.Conclusions:Intracranial mesenchymal tumors with FET::CREB fusion are relatively rare and typically occur in children and younger adults. These tumors have a broad morphological spectrum and often express desmin, CD99 and EMA. The molecular characteristics are the gene fusions of FET family (mainly EWSR1, FUS) with CREB family transcription factors (ATF1, CREB1 or CREM). It is necessary to distinguish these tumors from meningiomas and solitary fibrous tumors, and the combination of immunohistochemical staining and molecular genetic testing can effectively help identify these tumors.

Objective:To compare the sustained virological response (SVR) and viral recurrence in patients with chronic hepatitis C (CHC) after antiviral treatment, and to further analyze the influencing factors of liver-related events (LRE).Methods:This was a retrospective cohort study. A total of 1 844 CHC patients who visited the Department of Infectious Diseases of Hainan General Hospital from January 1st, 2013 to December 31st, 2022 were included. After screening, 891 patients were selected and divided into direct-acting antiviral agent (DAA) treatment group, interferon treatment group and non-antiviral treatment group based on different intervention measures. Propensity score matching was performed, and SVR and viral recurrence were compared among the three groups. Statistical analysis was performed using the chi-square test, and multivariate Cox regression analysis was used to evaluate the risk factors for LRE.Results:The confirmed CHC patients showed an increasing trend year by year (average annual change percentage=19.97%, 95% confidence interval ( CI) 10.46% to 30.30%, t=4.32, P<0.001). After propensity score matching, the total sample size of 891 CHC patients was 451, including 100 in the interferon treatment group, 311 in the DAA treatment group, and 40 in the non-antiviral treatment group. In the interferon treatment group, 89 cases (89.00%) achieved SVR and nine cases (9.00%) had recurrence. In the DAA treatment group, 306 cases (98.39%) achieved SVR and 10 cases (3.22%) had recurrence. The differences were statistically significant ( χ2=17.84 and 6.22, respectively, both P<0.05). Cox multivariate regression analysis showed that age (hazard ratio ( HR)=1.065, 95% CI 1.028 to 1.104, P<0.001), alcohol consumption ( HR=3.034, 95% CI 1.302 to 7.071, P=0.010) were independent risk factors for LRE in CHC patients, while albumin ( HR=0.858, 95% CI 0.802 to 0.917, P<0.001), DAA treatment ( HR=0.267, 95% CI 0.103 to 0.692, P=0.007) were protective factors. In CHC patients receiving antiviral treatment, diabetes ( HR=6.719, 95% CI 2.242 to 20.137, P<0.001), total bilirubin ( HR=1.111, 95% CI 1.054 to 1.171, P<0.001) and viral recurrence ( HR=4.646, 95% CI 1.322 to 16.321, P=0.017) were independent risk factors for LRE. Conclusions:Compared with interferon treatment, DAA treatment has a significantly higher SVR rate and a lower recurrence rate. Age and alcohol consumption are independent risk factors for LRE, while higher albumin levels and DAA treatment are protective factors. In CHC patients receiving antiviral treatment, diabetes, viral recurrence, and total bilirubin are independent risk factors for LRE.

Objective To explore the effectiveness of a hospital-to-home transitional health management program for caregivers of children with severe encephalitis,aiming to provide a reference for optimizing transitional care models for these patients.Methods A convenience sampling method was used to select 84 children with severe encephalitis and their caregivers admitted to the neurology department of a tertiary hospital in Zhengzhou between March 2023 and June 2024.According to the admission time,they were divided into an experimental group and a control group,with 42 cases in each group.The experimental group received a hospital-to-home transitional health management program in addition to routine care,while the control group received standard care and discharge instructions.Differences in caregivers' perceived benefits,caregiver burden,disease management ability,and post-intervention outcomes of the children were compared between the 2 groups before and after the intervention.Results All 42 participants in both groups completed the study.After the intervention,the experimental group reported higher perceived benefits of(91.29±9.76)compared to(84.81±12.86)in the control group,lower caregiver burden of(48.55±7.15)compared to(54.71±11.23)in the control group,greater disease management ability of(41.83±4.97)than(37.79±5.23)in the control group,and lower difficulty in disease management of(31.52±7.82)compared to(34.55±3.96)in the control group,with all differences being statistically significant(P＜0.05).No statistically significant difference was found in the prognosis of the children between the 2 groups(P=0.500).Conclusion The hospital-to-home transitional health management program can effectively enhance caregivers'perceived benefits and disease management capabilities,reduce their caregiving burden,and provide scientific evidence for optimizing transitional care for children with severe encephalitis.

Objective To retrospectively analyze the correlation between inflammatory markers in complete blood counts(CBC)and influenza A virus infection in patients visited the outpatient department of Nanjing First Hospital.Methods The suspected influenza A virus infection patients visited the outpatient department of Nanjing First Hospital from February to March 2023 were collected and di-vided into the positive and negative groups based on the detection results of influenza A virus antigen.The differences in inflammatory markers in CBC between the two groups were compared.The Logistic regression analysis was used to evaluate the correlation between inflammatory markers and influenza A virus infection.Meanwhile,the restricted cubic spline(RCS)and age subgroup(≤6 years,7-12 years,13-17 years,and ≥18 years)analysis were also performed.Results A total of 1 487 outpatients were included,of which 404(27.2％)were positive for influenza A virus antigen.The Logistic regression analysis showed that white blood cell count(WBC),lymphocyte percentage(LY％),and lymphocyte count(LYM)were significantly negatively correlated with influenza A virus infection(P＜0.01),while the neutrophil percentage(NE％),monocyte/lymphocyte ratio(MLR),and neutrophil/lymphocyte ratio(NLR)were significantly positively correlated with influenza A virus infection(P＜0.01).The RCS analysis exhibited the same trend.The age subgroup analysis showed that when the age was greater than 6 years,LYM was significantly negatively correlated with influenza A virus infection(P＜0.01).When the age was greater than 12 years,MLR was significantly positively correlated with influenza A virus infec-tion(P＜0.01).Conclusion The WBC,LY％,LYM,NE％,MLR,and NLR in CBC parameters are important indicators associated with the occurrence of Influenza A virus infection,especially LYM in patients aged over 6 years and MLR in patients aged over 12 years,which may serve as biomarkers for the diagnosis and differential diagnosis of influenza A virus infection.

Objective:To investigate the effect of nuclear receptor subfamily 2 group F member 2(NR2F2)on the biological behaviors of human ovarian cancer SKOV3 cells,and to clarify its molecular mechauism and provide the new idea for treatment of ovarian cancer.Methods:Gene Expression Profiling Interactive Analysis(GEPIA)Database analyse the expression level of NR2F2 gene in ovarian tissue,and analyse its correlation with clinical prognosis of ovarian cancer patients.The human ovarian cancer SKOV3 cells were divided into control group and NR2F2 over-expression(NR2F2 OE)group,which were transfected with mCherry control virus and NR2F2 OE over-expression virus,respectively,when the cell deusity reached 70％,and the stable transfection SKOV3 cell lines were screened with puromycin(puro)48h lafter.Real-time fluorescence quantitative PCR(RT-qPCR)and Western blotting methods were used to detect the transfection efficiencies of the cells;RT-qPCR method was used to detect the expression levels of NR2F2 and sex-determining region Y-box 2(SOX2)mRNA in the cells in two groups;Western blotting method was used to detect the expression levels of NR2F2,ATP-binding cassette superfamily G member 2(ABCG2),and programmed cell death 1-ligand 1(PD-L1)protcins in the cells in two groups.CCK-8 assay was used to detect the proliferation activities of the cells in two groups;Wound assay was used to detect the migration rates of the cells in two groups;Transwell chamber assay was used to detect the number of transmembrane cells;Spheroidization assay was used to detect the numbers of spheroids in the cells;peripheral blood mononuclear cells(PBMCs)-mediated tumor cell killing assay was used to detect the relative densities of surviving tumor cells;CCK-8 assay was used to detect the half maximal inhibitory concentration(IC50)of paclitaxel(PTX)and carboplatin(CBP).Results:Compared with normal ovarian tissue,the expression level of NR2F2 gene in ovarian tumor tissue was decreased(P＜0.05),and decreased with the improvement of clinical pathological grading of ovarian tumor.The patients with higher expression level of NR2F2 gene had better clincal prognosis.The SKOV3 cells with NR2F2 over-expresson were successfully constructed,and the expression levels of NR2F2 mRNA and protein in the cells in NR2F2 OE group were increased compared with control group(P＜0.001).The CCK-8 assay results showed that compared with control group,the proliferation activities of the cells in NR2F2 OE group were decreased at different time points(1,2,3,and 4 d)(P＜0.05 or P＜0.01).The cell wound assay results showed that compared with control group,the migration rate of the cells in NR2F2 OE group was decreased(P＜0.001).The Transwell assay results showed that compared with control group,the number of transmembrane cells in NR2F2 OE group was decreased(P＜0.01).Compared with control group,the number of the spheroids in NR2F2 OE group was decreased(P＜0.05),and the expression levels of SOX2 mRNA(P＜0.01)and protein(P＜0.001)were increased.Compared with control group,the relative density of surviving tumor cells in NR2F2 OE group was decreased,but the difference was not significant(P＜0.05),and the expression level of PD-L1 protein was decreased(P＜0.05).Compared with control group,the proliferation activities of cells in NR2F2 OE group were decreased(P＜0.05),and the drug sensitivities of the cells to PTX and CBP were enhanced(P＜0.05);the IC50 of PTX was significantly reduced,while the IC50of CBP could not be calculated due to excessively high drug concentration;the expression level of ABCG2 protein was decreased(P＜0.05).Conclusion:The over-expression of NR2F2 may inhibit the proliferation,migration,and invasion of the human ovarian cancer SKOV3 cells,decrease the expression levels of SOX2,PD-L1 and ABCG2 proteins,suppress the stemness and immune evasion ability of the SKOV3 cells,and enhance the sensitivities of the SKOV3 cells to PTX and CBP.