ObjectiveCardiovascular diseases pose a major public health challenge in China. The burden of cardiovascular disease associated with high low-density lipoprotein cholesterol （LDL-C） has increased steadily nationwide. A comprehensive analysis of secular trends in cardiovascular disease burden and its determinants is crucial for developing targeted interventions and evidence-based health policies. MethodsBased on data from the Global Burden of Disease Study 2021， we analyzed the trends in deaths， disability-adjusted life years （DALYs）， age-standardized mortality rates （ASMR）， and age-standardized DALY rates （ASDR） of cardiovascular diseases attributable to high LDL-C in China from 1990 to 2021 using Joinpoint regression analysis. An age-period-cohort model was applied to assess the contributions of age， period， and cohort effects to changes in the cardiovascular disease burden attributable to high LDL-C. Projections of the high LDL-C-attributable cardiovascular disease burden in China from 2022 to 2030 were generated using a Bayesian age-period-cohort model. ResultsBetween 1990 and 2021， China saw a substantial rise in both deaths and disability-adjusted life years （DALYs） from cardiovascular disease linked to high LDL-C. Joinpoint regression revealed key turning points in this trend： an overall increase continued until 2004， after which the burden began to fall starting in 2011. Throughout this period， age-standardized mortality and DALY rates were consistently higher in males than in females. Age-period-cohort analysis further indicated that mortality and DALY rates due to high LDL-C increased almost exponentially with age， while period and cohort risks generally decreased over time. Projections suggest a continued decline in age-standardized mortality rates from LDL-C-related cardiovascular disease for both Chinese men and women by 2030. ConclusionRapid population growth and accelerated ageing in China emerge as primary drivers of the escalating cardiovascular diseases burden linked to elevated LDL-C. The burden of cardiovascular diseases is higher in men compared to women. By 2030， the burden of cardiovascular disease caused by high LDL-C in China will remain severe. These findings underscore the critical need for gender-specific screening protocols， age-tailored interventions， and personalized management frameworks to mitigate this public health challenge.

Objective:To explore the assessment value of liver enzyme changes before and after hepatectomy on the prognosis of patients with primary hepatocellular carcinoma(HCC). Methods:A retrospective analysis was conducted on the clinical data of 421 patients with primary HCC who received at the First and Second Affiliated Hospitals of Xi'an Jiaotong University from January 2016 to December 2020.The univariate and multivariate COX regression analyses were used to screen the risk factors affecting the prognosis of patients with primary HCC,and the optimal cut-off value was selected to group the most valuable indicators among them,further analyzing the different factors among subgroups.The Kaplan-Meier method was used to assess the prognosis of the subgroups,and the survival curves were plotted and statistically tested. Results:Multivariate COX regression analysis revealed that Barcelona Clinic Liver Cancer(BCLC)stage,tumor number,alpha-fetoprotein(AFP),the quantitative change of γ-glutamyl transpeptidase(GGT)and total bilirubin(TBIL)before and after surgery were independent risk factors affecting the prognosis of patients with primary HCC(P＜0.01),and there were differences in hepatitis B virus surface antigen(HBsAg),TNM stage,BCLC stage,tumor size,tumor number,tumor differentiation degree,AFP,surgery type,intraoperative bleeding volume,postoperative albumin-bilirubin(ALBI)and white blood cell count between the high and low GGT variation groups(P＜0.05).Kaplan-Meier survival analysis showed that the prognosis of patients with primary HCC between the high and low GGT variation groups was significantly different,with a hazard ratio of 2.603 for mortality and 1.449 for recurrence(both P＜0.01). Conclusion:The quantitative change of GGT before and after hepatectomy has an evaluation value for the prognosis of patients with primary HCC,and the quantitative change of GGT greater than 29.5 is an independent risk factor for the prognosis of patients with primary HCC.

Objective To observe the value of preoperative MRI radiomics models for predicting risk stratification of endometrial cancer(EC).Methods Data of 219 EC patients who underwent pelvic MR examination before surgery were retrospectively analyzed.The patients were divided into high risk group(n=104)or low risk group(n=115)according to postoperative pathological findings,also assigned into training set(n=153)or test set(n=66)according to examination time and further divided into high or low risk subgroups in each set.ROI was manually sketched on MRI using 3D Slicer,and each 1 130 features were extracted from axial and sagittal fat suppression(FS)T2WI as well as axial and sagittal enhanced FS-T1WI,respectively.Then the least absolute shrinkage and selection operator(LASSO)was used to select a total of 54 merged MRI features,including 12,14,16 and 12 features,respectively.Finally,25 merged LASSO features were reduced dimensionality and selected by reusing LASSO.Extremely randomized trees algorithm was used to construct radiomics models based on each single sequence features,merged MRI features and merged LASSO features,respectively.Receiver operating characteristic curves were drawn,the area under the curve(AUC),the accuracy and F1 score were obtained to evaluate the predicting efficacy of each model.AUC was used to evaluate the predictive efficacy of the models and subjective diagnosis of test set.Results In training set,the accuracy(0.784,0.777),F1 score(0.730,0.731)and AUC(0.835,0.855)of modelmerged MRI and modelmerged LASSO were both higher than those of each single sequence model,while in test set,the sensitivity(0.794,0.882),specificity(0.909,0.969)and AUC(0.904,0.934)of modelmerged MRI and modelmerged LASSO were both higher than those of subjective diagnosis and each single sequence model.The predictive effiency of modelmerged LAsSo was better than that of modelmerged MRI,which was the best model.Conclusion Preoperative MRI radiomics model was effective for predicting risk stratification of endometrial cancer.Modelmerged LASSO had the best performance.

Objective:To investigate the prognostic value of preoperative red blood cell distribution width (RDW) for hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 025 HCC patients who were admitted to three medical centers (586 in the First Affiliated Hospital of Xi'an Jiaotong University, 248 in the Second Affiliated Hospital of Xi'an Jiaotong University and 191 in the Qinghai University Affiliated Hospital) between April 2002 and August 2017 were collected. There were 809 males and 216 females, aged (54±11)years, with a range from 16 to 83 years. The average coefficient of variation of RDW (RDW-CV) of 1 025 patients was 14.3%. Of 1 025 patients, 347 cases had high RDW of RDW-CV >14.3%, and 678 had low RDW of RDW-CV ≤14.3%. Observation indicators: (1) clinico-pathological data of HCC patients; (2) influencing factors for prognosis of HCC patients; (3) follow-up and survival. (4) stratified analysis of independent influencing factors. Follow-up was performed by outpatient examination, telephone interview or internet interview to detect postoperative survival of patients up to October 2017. Measurment data with normal distribution were represented as Mean±SD, and measurment data with skewed distribution were described as M (range). Count data were described as absolute numbers, and comparison between groups was analyzed using the chi-square test. The Graphpad Prism 7.0 was used to draw survival curves, and Log-rank test was used for survival analysis. Univariate and multivariate analyses were performed using the COX proportional hazard model. Results:(1) Clinicopathological data of HCC patients: cases with age ≤70 years or >70 years, cases without cirhhosis or with cirhhosis , cases of Child-Pugh grade A or Child-Pugh grade B or C, cases with the level of alpha fetoprotein (AFP) ≤200 μg/L or >200 μg/L, cases with single tumor or multiple tumors were 313, 34, 152, 186, 161, 53, 158, 143, 186, 109 for high RDW patients, versus 641, 37, 359, 310, 415, 48, 367, 227, 547, 131 for low RDW patients, respectively, showing significant differences in above indicators between the two groups ( χ2=6.709, 6.787, 23.906, 7.114, 34.375, P<0.05). (2) Influencing factors for prognosis of HCC patients: results of univariate analysis showed that age, Child-Pugh grade, AFP, RDW-CV, tumor diameter, the number of tumors were related factors for prognosis of patients ( hazard ratio=1.388, 1.432, 1.534, 1.455, 2.813, 1.505, 95% confidence interval as 1.004-1.920, 1.086-1.887, 1.263-1.864, 1.211-1.748, 2.293-3.450, 1.173-1.932, P<0.05 ). Results of multivariate analysis showed that age, RDW-CV, tumor diameter and the number of tumors were independent factors for prognosis of patients ( hazard ratio=1.020, 1.340, 2.427, 1.438, 95% confidence interval as 1.007-1.032, 1.027-1.749, 1.801-3.272, 1.057-1.956, P<0.05). (3) Follow-up and survival: 1 025 patients were followed up for 1-124 months, with a median follow-up time of 25 months. The median survival time was 23 months for high RDW patients, versus 44 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=11.640, P<0.05). (4) Stratified analysis of independent influencing factors: the results of stratified analysis of 3 independent influencing factors including age, tumor diameter and the number of tumors showed that in the 954 patients with age ≤70 years, the median survival time was 25 months for high RDW patients, versus 48 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=14.030, P<0.05). In the 71 patients with age >70 years, the median survival time was 11 months for high RDW patients, versus 29 months for low RDW patients, showing no significant difference in the overall survival between the two groups ( χ2=0.933, P>0.05). In the 459 patients with tumor diameter ≤5 cm, the median survival time was 44 months for high RDW patients, versus 76 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=8.660, P<0.05). In the 487 patients with tumor diameter >5 cm, the median survival time was 14 months for high RDW patients, versus 18 months for low RDW patients, showing no significant difference in the overall survival between the two groups ( χ2=2.950, P>0.05). In the 733 patients with single tumor, the median survival time was 20 months for high RDW patients, versus 48 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=13.530, P<0.05). In the 240 patients with multiple tumors, the median survival time was 15 months for high RDW patients, versus 20 months for low RDW patients, showing a significant difference in the overall survival between the two groups ( χ2=6.820, P<0.05). Conclusions:Preoperative RDW can be used as a predictive index for prognosis of HCC patients, and patients with high RDW have poorer prognosis. RDW have better predictive value in patients with age ≤70 years or tumor diameter ≤5 cm.