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 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 pass rates of fit tests for various brands of medical protective masks and to explore methods for quickly matching these masks based on their head and face dimensions.Methods A total of 202 medical staff from designated hospitals in Tianjin were selected as subjects.Quantitative fit tests were conducted on 5 brands of masks(A,B,C,D,and E)using an aerosol condensation nucleus counter.Two-dimensional photographic measurement was used to obtain the face length and width of the subjects,categorizing them into face types#1 to#10.The pass rates of masks across different face zones,brands,and face types were compared.Results A total of 202 testers participated in this study.According to the guidelines,face type#1 was the most common[43.6%(88/202)],followed by face type#3[18.2%(37/202)].The majority of subjects were categorized as face types#1,#2,#3,and#4,totaling 176 subjects(87.1%).A total of 914 tests were conducted,with 678 passes,resulting in an overall mask pass rate of 74.18%.The pass rates of masks A,B,and C were significantly higher than those of masks D and E[87.03%(161/185),85.57%,(166/194),82.02%(146/178)vs.62.98%(114/181),51.70%(91/176),all P<0.05].The pass rate of adjustable head-mounted masks was significantly higher than that of non-adjustable masks[79.54%(587/738)vs.51.70%(91/176),P<0.05].The fit factor(FF)for mask B in face types#1 to#5 was significantly higher than that in face types#6 to#10[200(163,200)vs.132(86,200),P<0.05].Conclusions Two-dimensional photographic measurement can quickly obtain facial information of the subjects and match the corresponding masks.Hospitals can match masks with higher test pass rates according to the proportion of face types among medical staff.When selecting masks,preference should be given to adjustable head-mounted masks.

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 investigate the effect of facet joint resection at different ranges under endoscopy on the stability of the cervical spine and provide a biomechanical theoretical basis for clinical surgery.Methods A normal finite element model of the cervical spine C5-6 was established based on CT data,and unilateral facetectomy models with different ranges(0,25％,50％,75％,and 100％)of laminectomy were obtained(Models 1-5)by simulating cervical endoscopic surgery.The ranges of motion(ROMs)of C5-6 and the von Mises stresses of the discs for the models in each group were compared and analyzed.Results Except for flexion,Models 1 and 2 showed insignificant changes in ROMs and disc von Mises stresses in each direction compared with those of the normal model.Model 3 showed a noticeable increase in ROMs and disc von Mises stresses in each direction compared with those of the normal model:ROMs under flexion,extension,left lateral bending,right lateral bending,left rotation,and right rotation increased by 27％,4％,3％,13％,5％,and 16％,respectively,and von Mises stresses increased by 32％,4％,2％,5％,9％,and 5％,respectively.Models 4 and 5 exhibited a significant increase in the ROMs and disc von Mises stresses in each direction compared to the normal model.For Model 4,ROMs were increased by 27％,14％,6％,24％,7％,167％,and von Mises stresses were increased by 33％,13％,3％,32％,10％,130％.For Model 5,ROMs were increased by 27％,17％,6％,25％,7％,167％,and von Mises stresses were increased by 33％,29％,8％,33％,12％,138％.Conclusions As the range of unilateral facetectomy increased,cervical ROM and disc von Mises stress extremum gradually increased.The cervical spine shows a significant ROM increase and stress changes when facet joint resection on one side exceeds 1/2.More than 1/2 of the facet joint should be preserved during surgery to avoid medical instability.

To investigate the clinical significance of platelet-neutrophil ratio in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis(AAV),a total of 128 patients were recruited and retrospectively analyzed in our department from March 2015 to July 2023.Spearman correlation analysis indicated that there was negative correlation between the level of PNR and Birmingham vasculitis activity score(BVAS)in AAV patients(r=-0.268,P=0.002).According to the PNR optimal cutoff value(26.4)determinated by X-tile bioinformatics software version 3.6.1 for predicting the survival rate,AAV patients were divided into high level PNR(HPNR)group(≥26.4)(n=105)and low level PNR(LPNR)group(<26.4)(n=23).Kaplan-Meier survival analysis showed that the survival rate of HPNR group was significantly higher than that of LPNR group(P<0.001).The level of PNR was correlated with poor prognosis of kidney(OR=2.54,95%CI:1.1-5.88,P=0.029).In conclusion,the level of PNR is closely related to disease activity and prognosis of AAV,and it might be a potential biomarker for predicting the disease activity and predicting the prognosis.