Objectives:To describe the use of antihypertensive, antidiabetic and lipid-lowering drugs, and evaluate the effects on blood pressure, blood glucose and blood lipids controls required by Chinese Guideline on the Primary Prevention of Cardiovascular Diseases (the guideline) in a community-based cohort of individuals at high risk for cardiovascular disease. To analyze the association of the uses of antihypertensive, antidiabetic and lipid-lowering drugs, and the comprehensive control of blood pressure, blood glucose and blood lipids with cardiovascular disease. Methods:From the CHinese Electronic health Records Research in Yinzhou (CHERRY), those who were at high risk for cardiovascular disease and aged 40-75 years as of January 1, 2013 in in Yinzhou District of Ningbo, Zhejiang Province were selected as study subjects. The information about their antihypertensive, antidiabetic, and lipid-lowering drug uses between 2013 and 2015 was collected, and blood pressure, blood glucose, and blood lipid measurements were conducted during the follow-up. The study constructed two kinds of comprehensive scores: the comprehensive medication score based on the guideline requirement for the treatment of hypertension, diabetes and hyperlipidemia, dividing the study participants into the compliancy group and non-compliancy group; and the comprehensive control score based on the guideline requirement for blood pressure, blood glucose, and blood lipids control, dividing the study participants into better control group, moderate control group, and poor control group. Cox proportional hazards regression model was used to analyze the association of the comprehensive medication score and comprehensive control score with cardiovascular disease. The incidence data of cardiovascular disease were collected from January 1, 2015 (baseline time) to August 31, 2020 (follow up end time).Results:A total of 79 734 participants at high risk for cardiovascular disease were included in the study, in whom 68.4%, 27.4%, and 4.2% had 1, 2, or 3 cardiometabolic conditions (hypertension, diabetes, or hyperlipidemia), respectively. In the participants with hypertension, diabetes, and hyperlipidemia from 2013 to 2015, the proportions of those who had two years of medication compliancy records were 66.0%, 67.4%, and 13.9%, respectively. In the hypertension patients, 59.2% had better blood pressure control, in the diabetes patients, 28.7% had better blood glucose control, and in the patients with hyperlipidemia, 27.4% had better blood lipid control. After a median follow-up of 5.66 years, 4 088 cardiovascular disease cases or deaths occurred. After multivariate adjustment, compared with the non-compliancy group, the compliancy group had lower risk for cardiovascular disease ( HR=0.91, 95% CI: 0.85-0.96). Compared with the better control group, the poor control group had an increased risk for cardiovascular disease ( HR=1.67, 95% CI: 1.53-1.81). In the moderate control group, the risk increased significantly in the diabetes patients ( HR=1.29, 95% CI: 1.07-1.56), while no additional risk for cardiovascular disease was observed in non-diabetes patients ( HR=1.06, 95% CI: 0.97-1.16). Conclusions:Compliancy to the medication required by the guideline is associated with lower risk for cardiovascular disease. However, it is still necessary to improve the medication compliancy in people at high risk in primary prevention, especially in the patients with hyperlipidemia, due to their low taking rate of lipid-lowering drugs. Additionally, as the requirement of the guideline becomes more stringent, the management of disease has met more challenges. Notably, diabetes patients who have not met the guideline requirement are at high risk for cardiovascular disease, to whom the disease management should be strengthened.

The blood products industry in China,the United States,the European Union and Japan are at different stages of development,with very different laws,regulations and regulatory systems.This paper uses methods such as literature review,policy comparison,and case study.By analyzing and comparing the blood product regulatory policies in various countries,it is found that compared with the United States,the European Union and Japan,China has differences in several areas,including plasma quarantine period,plasma fractionation processes and intermediate products,segmented production of blood products,and import management policies.It is suggested that we should learn from foreign regulatory experiences,and explore the establishment of blood product regulatory policies suitable for China's national conditions.Recommendations include optimizing China's source plasma quarantine period and blood product production process management policies,promoting multiple sites and segmented production of blood products,and establishing flexible blood product import and export management systems.These measures aim to provide references for promoting the development of the blood product industry and improving the accessibility of medications for the public.

Objective:To investigate the association between the triglyceride-glucose(TyG)index and the incidence and mortality of cardiovascular disease(CVD)in a large population-based cohort.Methods:Participants aged 40-79 years without a history of CVD at baseline were drawn from the CHi-nese Electronic health Records Research in Yinzhou(CHERRY)study between January 1,2010,and May 31,2020.The TyG index was calculated using baseline triglyceride and fasting blood glucose.Cox proportional hazards models were used to assess the association between the TyG index and the composite outcome of CVD(incidence and mortality),adjusting for age,gender,education,region,smoking sta-tus,body mass index,systolic blood pressure,and total cholesterol.Hazard ratios(HR)and 95％confi-dence intervals(CI)were calculated.Nonlinear associations between the TyG index and CVD were fur-ther evaluated using restricted cubic splines,and subgroup analyses by gender and age were conducted to explore potential differences.Results:A total of 226 406 individuals were included,with a mean age of(55.0±9.7)years at baseline,46.8％of whom were men,and a median TyG index of 8.68.Over a median follow-up of 7.99 years,9 815(4.34％)participants experienced CVD incidence or mortality.After adjusting for age,gender,education,region,smoking status,body mass index,systolic blood pressure and total cholesterol,the risk of CVD increased with higher TyG index levels(P＜0.001).The risk in the highest TyG quartile(TyG＞9.10)was 42％higher than in the lowest quartile(TyG ≤8.32)(HR=1.42,95％CI:1.34-1.51).Individuals under 60 years had a higher HR for CVD compared with those aged 60 years and above(HR:1.71 vs.1.27,P＜0.05).Restricted cubic spline analysis revealed a reverse L-shaped association between the TyG index and CVD risk in the overall population(P＜0.001 for nonlinear trend),with risk increasing after the TyG index exceeded 8.67.However,the threshold varied by gender,with a lower threshold in women(8.51)than in men(8.67).Conclusion:A significant nonlinear relationship was revealed between the TyG index and CVD risk,with a threshold effect.The risk of CVD increased once the TyG index surpassed a certain threshold,with a lower threshold in women than in men.These findings suggest that cardiovascular risk prediction and interven-tions based on the TyG index should be gender-stratified,and early intervention for individuals under 60 years old might have important public health implications.

Objectives:To describe the use of antihypertensive, antidiabetic and lipid-lowering drugs, and evaluate the effects on blood pressure, blood glucose and blood lipids controls required by Chinese Guideline on the Primary Prevention of Cardiovascular Diseases (the guideline) in a community-based cohort of individuals at high risk for cardiovascular disease. To analyze the association of the uses of antihypertensive, antidiabetic and lipid-lowering drugs, and the comprehensive control of blood pressure, blood glucose and blood lipids with cardiovascular disease. Methods:From the CHinese Electronic health Records Research in Yinzhou (CHERRY), those who were at high risk for cardiovascular disease and aged 40-75 years as of January 1, 2013 in in Yinzhou District of Ningbo, Zhejiang Province were selected as study subjects. The information about their antihypertensive, antidiabetic, and lipid-lowering drug uses between 2013 and 2015 was collected, and blood pressure, blood glucose, and blood lipid measurements were conducted during the follow-up. The study constructed two kinds of comprehensive scores: the comprehensive medication score based on the guideline requirement for the treatment of hypertension, diabetes and hyperlipidemia, dividing the study participants into the compliancy group and non-compliancy group; and the comprehensive control score based on the guideline requirement for blood pressure, blood glucose, and blood lipids control, dividing the study participants into better control group, moderate control group, and poor control group. Cox proportional hazards regression model was used to analyze the association of the comprehensive medication score and comprehensive control score with cardiovascular disease. The incidence data of cardiovascular disease were collected from January 1, 2015 (baseline time) to August 31, 2020 (follow up end time).Results:A total of 79 734 participants at high risk for cardiovascular disease were included in the study, in whom 68.4%, 27.4%, and 4.2% had 1, 2, or 3 cardiometabolic conditions (hypertension, diabetes, or hyperlipidemia), respectively. In the participants with hypertension, diabetes, and hyperlipidemia from 2013 to 2015, the proportions of those who had two years of medication compliancy records were 66.0%, 67.4%, and 13.9%, respectively. In the hypertension patients, 59.2% had better blood pressure control, in the diabetes patients, 28.7% had better blood glucose control, and in the patients with hyperlipidemia, 27.4% had better blood lipid control. After a median follow-up of 5.66 years, 4 088 cardiovascular disease cases or deaths occurred. After multivariate adjustment, compared with the non-compliancy group, the compliancy group had lower risk for cardiovascular disease ( HR=0.91, 95% CI: 0.85-0.96). Compared with the better control group, the poor control group had an increased risk for cardiovascular disease ( HR=1.67, 95% CI: 1.53-1.81). In the moderate control group, the risk increased significantly in the diabetes patients ( HR=1.29, 95% CI: 1.07-1.56), while no additional risk for cardiovascular disease was observed in non-diabetes patients ( HR=1.06, 95% CI: 0.97-1.16). Conclusions:Compliancy to the medication required by the guideline is associated with lower risk for cardiovascular disease. However, it is still necessary to improve the medication compliancy in people at high risk in primary prevention, especially in the patients with hyperlipidemia, due to their low taking rate of lipid-lowering drugs. Additionally, as the requirement of the guideline becomes more stringent, the management of disease has met more challenges. Notably, diabetes patients who have not met the guideline requirement are at high risk for cardiovascular disease, to whom the disease management should be strengthened.

Objective:To investigate the association between the triglyceride-glucose(TyG)index and the incidence and mortality of cardiovascular disease(CVD)in a large population-based cohort.Methods:Participants aged 40-79 years without a history of CVD at baseline were drawn from the CHi-nese Electronic health Records Research in Yinzhou(CHERRY)study between January 1,2010,and May 31,2020.The TyG index was calculated using baseline triglyceride and fasting blood glucose.Cox proportional hazards models were used to assess the association between the TyG index and the composite outcome of CVD(incidence and mortality),adjusting for age,gender,education,region,smoking sta-tus,body mass index,systolic blood pressure,and total cholesterol.Hazard ratios(HR)and 95％confi-dence intervals(CI)were calculated.Nonlinear associations between the TyG index and CVD were fur-ther evaluated using restricted cubic splines,and subgroup analyses by gender and age were conducted to explore potential differences.Results:A total of 226 406 individuals were included,with a mean age of(55.0±9.7)years at baseline,46.8％of whom were men,and a median TyG index of 8.68.Over a median follow-up of 7.99 years,9 815(4.34％)participants experienced CVD incidence or mortality.After adjusting for age,gender,education,region,smoking status,body mass index,systolic blood pressure and total cholesterol,the risk of CVD increased with higher TyG index levels(P＜0.001).The risk in the highest TyG quartile(TyG＞9.10)was 42％higher than in the lowest quartile(TyG ≤8.32)(HR=1.42,95％CI:1.34-1.51).Individuals under 60 years had a higher HR for CVD compared with those aged 60 years and above(HR:1.71 vs.1.27,P＜0.05).Restricted cubic spline analysis revealed a reverse L-shaped association between the TyG index and CVD risk in the overall population(P＜0.001 for nonlinear trend),with risk increasing after the TyG index exceeded 8.67.However,the threshold varied by gender,with a lower threshold in women(8.51)than in men(8.67).Conclusion:A significant nonlinear relationship was revealed between the TyG index and CVD risk,with a threshold effect.The risk of CVD increased once the TyG index surpassed a certain threshold,with a lower threshold in women than in men.These findings suggest that cardiovascular risk prediction and interven-tions based on the TyG index should be gender-stratified,and early intervention for individuals under 60 years old might have important public health implications.

The blood products industry in China,the United States,the European Union and Japan are at different stages of development,with very different laws,regulations and regulatory systems.This paper uses methods such as literature review,policy comparison,and case study.By analyzing and comparing the blood product regulatory policies in various countries,it is found that compared with the United States,the European Union and Japan,China has differences in several areas,including plasma quarantine period,plasma fractionation processes and intermediate products,segmented production of blood products,and import management policies.It is suggested that we should learn from foreign regulatory experiences,and explore the establishment of blood product regulatory policies suitable for China's national conditions.Recommendations include optimizing China's source plasma quarantine period and blood product production process management policies,promoting multiple sites and segmented production of blood products,and establishing flexible blood product import and export management systems.These measures aim to provide references for promoting the development of the blood product industry and improving the accessibility of medications for the public.

Objective To explore the potential influencing factors and complex pathways affecting rehabilitation effect for children with autism spectrum disorder(ASD)from the perspective of parental efficacy in doctor-patient communication,and to provide evidence for improving the quality of rehabilitation service for children with ASD. Methods An anonymous face-to-face questionnaire survey was conducted to collect general demographic information of parents of children with ASD at designated rehabilitation institutions in Gansu province.The data included paren-tal efficacy in doctor-patient communication,parental compliance of treatment and children's rehabilitation out-comes were collected.A structural equation model was used to explore the impact mechanism of parental commu-nication efficacy on the rehabilitation outcomes of children with ASD. Results Data from 519 parents at 37 rehabilitation institutions across 13 cities/counties in Gansu province were collect-ed.Significant positive correlations were found between parental efficacy in doctor-patient communication,doc-tor-patient relationships,parental compliance with treatment and rehabilitation outcomes for children with ASD(P＜0.05).Through structural equation model analysis,the standardized direct effect of children with ASD from parents'doctor-patient communication efficacy was 0.151(P=0.023).The mediating effect of doctor-patient rela-tionship and parental compliance with treatment were 0.160(P=0.001)and 0.111(P=0.001),respectively,with a chained mediating effect of 0.035(P=0.001).The pathway"parental efficacy in doctor-patient communica-tion → doctor-patient relationship → ASD child's rehabilitation outcome"accounted for the highest proportion of the total mediating effect,at 52.29%. Conclusion Parental doctor-patient communication efficacy may positively impact on the rehabilitation outcomes of chil-dren with ASD directly,and indirectly through the doctor-patient relationship and parental compliance with treat-ment.Rehabilitation institutions should focus on fostering parental communication skills and enhancing high-quality and humanized rehabilitation services.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.