Nasopharyngeal carcinoma （NPC） is a malignant tumor originating from the mucosal epithelium of the nasopharynx. In recent years， its incidence and mortality rates have shown a continuous upward trend， and there is still a lack of therapeutic regimens with both favorable efficacy and safety in clinical practice. Mitogen-activated protein kinase （MAPK） signaling pathway plays a key regulatory role in biological processes such as cell proliferation， differentiation， apoptosis and invasion. It is widely involved in the occurrence and progression of NPC， and serves as an important target in the research field of anti-NPC therapy. This article systematically elaborates on the mechanism of action of the MAPK signaling pathway in NPC， and reviews the research status regarding the anti-NPC effect of active components of traditional Chinese medicine （TCM） and TCM compound prescriptions by regulating this signaling pathway. The results show that TCM active components， including flavonoids （luteolin， maackiain， baicalein， etc.）， alkaloids （picrasidine Ⅰ， tetrandrine， etc.）， terpenoids （bakuchiol， cantharidic acid）， as well as traditional Chinese medicine compound formulas （such as Biyan jiedu capsules and Yiqi jiedu formula） can exert effects including inducing autophagy and apoptosis of NPC cells， promoting pyroptosis， reversing drug resistance， blocking epithelial-mesenchymal transition， weakening cell stemness and arresting cell cycle progression by regulating the MAPK signaling pathway， thereby inhibiting the occurrence and development of NPC through multiple pathways.

To analyze the disease burden, temporal trends, and attributable risk factors of early-onset female breast cancer (EOBC) in China and globally from 1990 to 2021.

OBJECTIVE To provide direction and reference for the adjustment of the discount rate （DR） in China’s pharmacoeconomic guidelines. METHODS Search was conducted on the official websites of the International Society for Pharmacoeconomics and Outcomes Research， health technology assessment agencies in various countries/regions， as well as relevant websites of other upper-middle-income or high-income countries/regions. The recommended DR， adjustment trends， and setting rationales in pharmacoeconomic evaluation guidelines across different countries/regions were then summarized and compared. Based on theoretical derivation and literature analysis， the effects of different DR on the incremental cost-effectiveness ratio （ICER） were examined. RESULTS & CONCLUSIONS Among the 40 included guidelines， the base-case DR ranged from 1.5% to 5%， with 5% being the most common value； the range for sensitivity analysis was 0 to 12%. Thirty-six countries/regions applied the same DR to both costs and health outcomes， while in the Netherlands， Belgium， Poland and Czech Republic， DR for costs was higher than for health outcomes. In recent years， Korea， France and Ireland had lowered their DR in response to economic changes， whereas the Netherlands and Czech Republic had raised their DR for cost. The setting of the DR was primarily based on the public project investment interest rate or referred to recommendations from internationally authoritative institutions and other relevant guidelines. The direction and magnitude of the impact of different DR on the ICER largely depended on the distribution of costs and health outcomes between the intervention and reference measure. The setting and adjustment of DR were closely associated with the economic environment. Based on international experience, the DR in China can be lowered by 0.5% to 1.5%， and localized empirical research can be conducted using internationally common estimation methods.

Objective To investigate the prognostic value of optic nerve sheath diameter(ONSD)measured by critical care ultrasound combined with serum biomarkers[S100 calcium-binding protein β(S100β)and neuron-specific enolase(NSE)]in patients with severe traumatic brain injury.Methods A total of 103 adult severe traumatic brain injury patients admitted to the intensive care unit of this hospital from A-pril 1,2023,to April 1,2024 were enrolled.All patients underwent invasive intracranial pressure monitoring after admission,alongside bedside critical care ultrasound measurement of ONSD at 3 mm behind the globe and serum biomarker testing.Baseline data and Glasgow outcome scale(GOS)scores at 90 days after dis-charge were recorded.Patients were divided into the survival and the non-survival groups based on GOS scores.Receiver operating characteristic(ROC)curve analysis and area under the curve(AUC)were used to evaluate the predictive performance of ONSD and serum biomarkers for poor prognosis in severe traumatic brain injury patients.Results Ninety-six patients were ultimately included,with 52(54.1％)in the survival group and 44(45.9％)in the non-survival group.Significant differences were observed in blood glucose,Glas-gow coma scale(GCS)score,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score,ONSD,NSE,and S100β levels(P＜0.05)between the two groups.Multivariate analysis identified ONSD(OR=4.962,95％CI:3.473-6.254),NSE(OR=2.704,95％CI:1.987-3.033),S100β(OR=2.983,95％CI:1.843-4.571),and APACHE Ⅱ score(OR=3.726,95％CI:2.837-4.592)as independent predictors of mortality in severe traumatic brain injury patients(P＜0.05).The combination of ONSD,NSE,and S100β yielded an AUC of 0.840 for predicting poor prognosis,with a specificity of 88.3％and sensitivity of 98.6％.Conclusion ONSD and serum brain injury biomarkers(NSE,S100β)are associated with in-hospital prognosis in severe traumatic brain injury patients.Their combined detection can effectively predict a poor outcome.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

Objective:To investigate the effect of pelvic rotation around coronal axis on the placement angle of acetabular prosthesis after total hip arthroplasty.Methods:According to Murary's definition, the angle between the acetabular axis and the sagittal plane was defined as the acetabular abduction angle, and the angle between the acetabular axis and the coronal plane as the anterior inclination angle. A simple mathematical solid geometry model was established by using the mathematical software GeoGebra to simulate the dynamic changes of the acetabular prosthesis when it rotated around the coronal axis, and the calculation formula of the dynamic changes of the anterior inclination and abduction angle of the acetabular prosthesis was derived. MatLab software was used to generate the function graph of pelvis forward inclination and abduction angle and deduce the motion of acetabular prosthesis.Results:The dynamic changes of acetabular tilt angle and abduction angle when the pelvis rotated around the coronal axis were functionally related to the anterior-posterior tilt of the pelvis in a nonlinear pattern. When the pelvis rotates around the coronary axis, the anterior inclination angle formula is α 1=arcsin (sinβ 1×cosα×cosθ+cosβ 1×sinα); When the acetabulum axis faces downwards the abduction angle formula is θ 1=arccot (cosβ 1×cotθ-sinβ 1×tanα/sinθ); When the acetabulum axis faces upwards the abduction angle formula is θ 1=π-abs[arccot (cosβ 1×cotθ-sinβ 1×tanα/sinθ)] withα being the initial acetabular forward angle, θ being the initial acetabular abduction angle, α 1 being the forward angle of the acetabular prosthesis after pelvic rotation, θ 1 being the external expansion angle of the acetabular prosthesis after pelvic rotation and β 1 being the rotation angle of the pelvis around the coronal axis. When the pelvis is tilted backward, the anterior inclination angle of the acetabular prosthesis increases first and then decreases, and the abduction angle continues to increase. When the pelvis is tilted forward, the abduction angle decreases first and then increases, and the anterior inclination angle continues to decrease to negative. Conclusion:When the initial anterior inclination angle and abduction angle of acetabular prosthesis change, the curve of anterior inclination and abduction angle change accordingly. The larger the initial anterior inclination angle is, the faster it reaches its peak value, and the larger the peak value is, the faster the abduction angle changes. The larger the initial abduction angle is, the slower the initial anterior inclination angle and the abduction angle change.

Objective To investigate the clinical value of peripheral eosinophil count(PEC)in predicting the outcome of diabetic nephropathy(DN).Methods A retrospective cohort trial was conducted on 220 DN patients identified by renal biopsy in Department of Nephrology of Second Affiliated Hospital from Army Medical University from March 2021 to March 2023.Clinical data,results of routine blood test and renal function were collected.X-tile bioinformatics software version 3.6.1 was used to determine the optimal cut-off value of PEC for predicting survival.Cox proportional hazards model and Kaplan-Meier survival analysis were applied to analyze the prognosis.Results The level of PEC in DN patients was positively correlated with the levels of serum creatinine(Scr)(r=0.245),blood urea nitrogen(BUN)(r=0.237)and blood uric acid(UA)(r=0.252),and negatively with estimated glomerular filtration rate(eGFR)(r=-0.236).According to the optimal PEC cut-off value,DN patients were divided into high-level group(＞0.29×109/L,n=41)and low-level group(≤0.29 × 109/L,n=179).The levels of Scr(P＜0.001),BUN(P=0.001)and UA(P=0.005)were significantly higher,while the eGFR(P＜0.001)was obviously lower in the high-level group than the low-level group.Multivariate Cox regression analysis showed that the high level of PEC was associated with poor prognosis of DN(HR=2.20,95％CI:1.05～4.60,P=0.036).Kaplan-Meier survival analysis demonstrated that the incidence of end-stage renal disease(ESRD)was notably higher in the high-level group than the low-level group(P=0.024).Conclusion PEC level of DN patients is closely associated with the progression and prognosis of DN,and the count is a potential biomarker for predicting the prognosis of DN.

Objective To investigate the clinical efficacy of CT-guided drilling,hematoma aspiration and drainage for senile cerebellar hemorrhage.Methods A retrospective analysis was performed on 89 very old patients(75-89 years old)with cerebellar hemorrhage admitted to our hospital from January 2016 to December 2022.According to their wishes,different surgical treatments were adopted,and thus they were divided into puncture group(42 cases,CT-guided drilling,aspi-ration and drainage for hematoma)and craniotomy group(47 cases,craniotomy).GCS,preopera-tive hematoma volume,length of ICU stay,postoperative complications,mortality rate and the mRS score in 3 months postoperatively in the survival were compared between the 2 groups.Re-sults There were no significant differences in age,male ratio,GCS score,preoperative hematoma volume,recurrence rate at 24 h postoperatively and mortality rate at 3 months postoperatively be-tween 2 groups(P＞0.05).The puncture group had significantly shorter length of ICU stay(7.10±1.43 dvs 8.87±1.39 d,P=0.000)and lower intracranial infection rate(4.76％vs 19.15％,P=0.040)than the craniotomy group.In 3 months of follow-up after surgery,the rate of good mRS score was higher in the puncture group than the craniotomy group,and the mRS score was lower in the former group than the latter one(P＜0.05).Conclusion CT-guided drilling,aspiration and drainage for hematoma can reduce the infection rate and improve the prognosis,and is an effective approach in the treatment of patients over 75 years old with cerebellar hemorrhage.

Objective To investigate the correlation of hs-CRP and systemic immunoinflammatory index(SII)with the severity of coronary artery stenosis in elderly T2DM patients.Methods A retrospective trial was conducted on 158 elderly T2DM patients admitted to the Affiliated Hospi-tal of Xuzhou Medical University from August 2021 to August 2023.According to the results of coronary angiography,they were divided into mild(Gensini score≤60,79 cases)and severe steno-sis groups(＞60,79 cases).Spearman correlation analysis and logistic regression analysis were ap-plied to analyze the correlation and the risk factors for severe stenosis.Results Significantly high-er hs-CRP and SII were observed in the severe stenosis group than the mild stenosis group(P＜0.01).Hs-CRP,SII,glycosylated hemoglobin,neutrophils,hsTNT,NLR,and PLR were positively correlated with Gensini score(r=0.424,P＜0.01;r=0.367,P＜0.01;r=0.207,P＜0.01;r=0.259,P＜0.01;r=0.187,P＜0.05;r=0.317,P＜0.01;r=0.256,P＜0.01),and the course of T2DM was negatively correlated with Gensini score(r=-0.224,P＜0.01).Multivariate logistic regression showed that hs-CRP and SII were independent risk factors for severity coronary artery stenosis in elderly T2DM patients(OR=3.191,95％CI:1.847-5.513,P=0.000;OR=1.006,95％CI:1.004-1.009,P=0.000).Conclusion Elderly T2DM patients have higher levels of hs-CRP and SII,which may be independent risk factors for the pathogenesis of coronary stenosis.

Objective To establish an animal model of dampness-syndrome in mice (single model) and evaluate its characteristics of dampness-syndrome. The above-mentioned mice with dampness syndrome were used to construct mice model of ischemic stroke (double model) and observe the effect of dampness-pathogenic on the outcome of stroke. Methods Healthy C57BL/6J male mice were randomly divided into dampness-syndrome (including sham-surgery group and ischemic stroke group,with 10 mice in each group) and non dampness-syndrome groups (including sham-surgery group and ischemic stroke group,with 10 mice in each group). The dampness-syndrome group was fed with high-fat diet and the non dampness-syndrome group was fed with normal diet for 12 weeks. After the mice model of dampness-syndrome was successfully established,transient middle cerebral artery occlusion/reperfusion (tMCAO/R) surgery was used to replicate an ischemic stroke mice model. Evaluation indicators for dampness-syndrome mice model:the general status including body weight,morphology,posture,activity status,and physical characteristics,the histopathological observation of the aorta (oil red O staining,Masson-trichrome staining) and liver (HE staining,oil red O staining),electron microscopic observation of the tongue tissue (scanning electron microscopy,electron microscopy),blood lipid levels[total cholesterol(TC),triglycerides(TG)]and liver coefficient. Evaluation indicators for ischemic stroke mice model:neurological function score and the cerebral infarction volume ratio. Results Compared with the non dampness-syndrome group,the mice in the dampness-syndrome group showed an increased in body weight,poor hair color,sparse hair,fatigue and laziness,mental atrophy,anorexia and lethargy. It was observed that the aortic lumen was narrowed,the intima was significantly thickened,lipid plaque deposition was increased,and foam cells were visible. A large amount of red lipid droplets appeared in liver cells. There were obvious lipid infiltration and diffuse steatosis. Increased keratosis of the mucosal layer of tongue tissue,the thicker stratum corneum,lipofuscin,and bacteria on the tongue surface were found. Serum TG and TC levels significantly increased(P<0.01),and the liver coefficient significantly decreased (P<0.001). Compared with non dampness-syndrome group (sham-surgery group),neurological function score and the cerebral infarction volume ratio in dampness-syndrome ischemic stroke group obviously increased (P<0.001). Conclusion High-fat feeding for 12 weeks combined with tMCAO/R modeling can successfully establish a mice model with dampness-syndrome ischemic stroke,and the neurological function score and cerebral infarction volume in the dampness-syndrome ischemic stroke group was more severe than that in the non dampness-syndrome ischemic stroke group.