Abstract On 18 May 2021, the Center for Disease Control and Prevention (CDC) of X District in P City, Z Province received a co-investigation of a suspected case of intentional HIV transmission from the public security branch, and conducted epidemiological investigations on Zhao and Wang (both males). Wang was confirmed HIV-positive in 2019. Zhao had unprotected sexual encounters several times with Wang in March 2021 without being informed of Wang's HIV infection. Zhao developed fever, sore throat and other symptoms of acute infection phase on 28 March, and were confirmed HIV positive by the CDC of P City on 11 May. Zhao did not have sex with anyone else before or after having sex with Wang. In addition, Zhao had no history of surgery, blood transfusions, drug use or any other history of HIV exposure. Laboratory tests conducted by the CDC of Z Province showed that the HIV nucleic acid sequences between the samples of Zhao and Wang had a high degree of homology. Combined with the epidemiological investigation, laboratory testing and the evidence from the public security branch, it was concluded that Wang intentionally transmitted HIV to Zhao through unprotected anal sex without disclosing his HIV infection status.

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 evaluate the health benefits and intervention efficiency of different strategies of initiating antihypertensive therapy for the primary prevention of cardiovascular diseases in a community-based Chinese population from the Chinese electronic health records research in Yinzhou(CHERRY)study.Methods:A decision-analytic Markov model was used to simulate and compare different antihy-pertensive initiation strategies,including:Strategy 1,initiation of antihypertensive therapy for Chinese adults with systolic blood pressure(SBP)≥140 mmHg(2020 Chinese guideline on the primary preven-tion of cardiovascular diseases);Strategy 2,initiation of antihypertensive therapy for Chinese adults with SBP≥130 mmHg;Strategy 3,initiation of antihypertensive therapy for Chinese adults with SBP ≥140 mmHg,or with SBP between 130 and 140 mmHg and at high risk of cardiovascular diseases(2017 American College of Cardiology/American Heart Association guideline for the prevention,detection,evaluation,and management of high blood pressure in adults);Strategy 4,initiation of antihypertensive therapy for Chinese adults with SBP≥ 160 mmHg,or with SBP between 140 and 160 mmHg and at high risk of car-diovascular diseases(2019 United Kingdom National Institute for Health and Care Excellence guideline for the hypertension in adults:Diagnosis and management).The high 10-year cardiovascular risk was de-fined as the predicted risk over 10％based on the 2019 World Health Organization cardiovascular disease risk charts.Different strategies were simulated by the Markov model for ten years(cycles),with parame-ters mainly from the CHERRY study or published literature.After ten cycles of simulation,the numbers of quality-adjusted life years(QALY),cardiovascular events and all-cause deaths were calculated to evaluate the health benefits of each strategy,and the numbers needed to treat(NNT)for each cardiovas-cular event or all-cause death could be prevented were calculated to assess the intervention efficiency.One-way sensitivity analysis on the uncertainty of incidence rates of cardiovascular disease and probabilis-tic sensitivity analysis on the uncertainty of hazard ratios of interventions were conducted.Results:A to-tal of 213 987 Chinese adults aged 35-79 years without cardiovascular diseases were included.Com-pared with strategy 1,the number of cardiovascular events that could be prevented in strategy 2 increased by 666(95％UI:334-975),while the NNT per cardiovascular event prevented increased by 10(95％UI:7-20).In contrast to strategy 1,the number of cardiovascular events that could be prevented in strategy 3 increased by 388(95％UI:194-569),and the NNT per cardiovascular event prevented decreased by 6(95％UI:4-12),suggesting that strategy 3 had better health benefits and intervention efficiency.Compared to strategy 1,although the number of cardiovascular events that could be prevented decreased by 193(95％UI:98-281)in strategy 4,the NNT per cardiovascular event prevented decreased by 18(95％UI:13-37)with better efficiency.The results were consistent in the sensitivity analyses.Conclusion:When initiating antihypertensive therapy in an economically developed area of China,the strategy combined with cardiovascular risk assessment is more efficient than those purely based on the SBP threshold.The cardiovascular risk assessment strategy with different SBP thresholds is suggested to balance health benefits and intervention efficiency in diverse populations.

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.

Metabolic-associated fatty liver disease (MAFLD), which is previously known as non-alcoholic fatty liver disease (NAFLD), represents a major health concern worldwide with limited therapy. Here, we provide evidence that ferroptosis, a novel form of regulated cell death characterized by iron-driven lipid peroxidation, was comprehensively activated in liver tissues from MAFLD patients. The canonical-GPX4 (cGPX4), which is the most important negative controller of ferroptosis, is downregulated at protein but not mRNA level. Interestingly, a non-canonical GPX4 transcript-variant is induced (inducible-GPX4, iGPX4) in MAFLD condition. The high fat-fructose/sucrose diet (HFFD) and methionine/choline-deficient diet (MCD)-induced MAFLD pathologies, including hepatocellular ballooning, steatohepatitis and fibrosis, were attenuated and aggravated, respectively, in cGPX4-and iGPX4-knockin mice. cGPX4 and iGPX4 isoforms also displayed opposing effects on oxidative stress and ferroptosis in hepatocytes. Knockdown of iGPX4 by siRNA alleviated lipid stress, ferroptosis and cell injury. Mechanistically, the triggered iGPX4 interacts with cGPX4 to facilitate the transformation of cGPX4 from enzymatic-active monomer to enzymatic-inactive oligomers upon lipid stress, and thus promotes ferroptosis. Co-immunoprecipitation and nano LC-MS/MS analyses confirmed the interaction between iGPX4 and cGPX4. Our results reveal a detrimental role of non-canonical GPX4 isoform in ferroptosis, and indicate selectively targeting iGPX4 may be a promising therapeutic strategy for MAFLD.

Objective:To validate the performance of cardiovascular risk prediction models based on the Sweden National Diabetes Register (NDR) and Diabetes Lifetime-perspective prediction (DIAL) model for assessing risks of 5-year and 10-year cardiovascular disease (CVD) among Chinese patients with type 2 diabetes.Methods:Based on the Chinese Electronic Health Records Research in Yinzhou study, 83 503 patients with type 2 diabetes aged 30-75 years without a history of CVD at baseline were included from January 1, 2010 to December 31, 2020. Recalibrated NDR model was used to estimate 5-year risk, while the recalibrated DIAL model was used to predict 5-year and 10-year risks. The competing events adjusted Kaplan-Meier analysis was used to obtain the observed cardiovascular events. Discrimination C statistics evaluated model accuracy, calibration χ2 value, and calibration plots. Results:Through a median follow-up of 7.0 years, 7 326 cardiovascular events, and 2 937 non-vascular deaths were identified among a total of 83 503 subjects. The recalibrated NDR model overestimated 5-year risk by 39.4% in men and 8.6% in women, whereas the overestimation for the recalibrated DIAL model was 14.6% in men and 50.1% in women. The DIAL model had a better discriminative ability ( C-statistic=0.681, 95% CI: 0.672-0.690) than NDR model ( C-statistic=0.667, 95% CI: 0.657-0.677) in 5-year risk prediction for men, and the models had a similar ability for women ( C-statistic=0.699, 95% CI: 0.690-0.708 for NDR and C-statistic=0.698, 95% CI: 0.689-0.706 for DIAL). The prediction accuracy of the DIAL model was improved in the 10-year risk, with the underestimation being 1.6% for men and the overestimation being 12.8% for women. Conclusions:Both recalibrated NDR and DIAL models overestimated 5-year cardiovascular risk in Chinese patients with type 2 diabetes, while the higher overestimation was shown using the DIAL model. However, the improvement was found in predicting 10-year CVD risk using the DIAL model, which suggested the value of lifetime risk prediction and indicated the need for research on the lifetime risk prediction model for cardiovascular risk assessment in Chinese patients with type 2 diabetes.

Objective:To construct an Internet + linkage model based on medical alliance and evaluate its implementation effect.Methods:From October 2020 to June 2021, convenience sampling was used to select 132 patients with malignant tumors who were treated with peripherally inserted central catheters (PICC) chemotherapy and discharged with catheters in Chongming Branch of Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine. The 67 patients who returned to the PICC outpatient clinic of Chongming Branch, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine during the treatment interval for PICC maintenance were set as the control group, and the routine maintenance method was adopted. A total of 65 patients who chose maintenance points near their residence for PICC maintenance during the treatment interval were set as the observation group. On the basis of the control group, the maintenance method based on the Internet + linkage mode of medical alliance was adopted. The PICC self-management ability, catheter-carrying satisfaction, PICC complication, average cost and average time spent on PICC maintenance during treatment were compared between the two groups.Results:There were no significant differences in the scores of daily life with catheters, exercise with catheters, catheter abnormality handling, compliance with catheter maintenance and confidence in catheter management between the two groups ( P>0.05) . There was no significant difference in the scores of Catheter Satisfaction Survey in the two groups of patients ( P>0.05) .There was also no significant difference in the incidence of PICC complications between the two groups ( P>0.05) . The registration fee, maintenance fee, and transportation fee for PICC maintenance in the observation group were lower than those in the control group, and the round-trip time and visit time were shorter than those in the control group, and the differences were statistically significant ( P<0.05) . Conclusions:The Internet + linkage model based on the medical alliance can ensure the quality of PICC maintenance for patients with malignant tumors undergoing PICC chemotherapy and discharged with catheters, and improve their PICC self-management ability, which has good economic and time benefits.

With the rapid development of Internet technology and the continuous advancement of medical informatization, big data in healthcare has gradually become an important resource to innovate health management and meet the growing health needs of people and the application of big data in healthcare has been one of the indispensable parts of national big data strategy in China. Based on the established healthcare big data platform and the application of big data technology, Yinzhou district has made innovative efforts to explore a new model driven by big data for the prevention and control of communicable and non-communicable diseases and the management of vaccination programs. It is expected that the "Internet plus healthcare" model will strengthen the disease prevention and control and public health management in local area, create a new business form and provide strong support for Healthy China 2030. This article introduces this new model driven by big data in Yinzhou and discusses the preliminary efficiency of this model in public health practice.