Objective To evaluate effectiveness of guideline-oriented training for community healthcare workers (HCWs) with The Applied Standards for Hypertension Prevention and Control at the Grassroots to provide guidance to hypertension management in communities. Methods In 2003, four community health-care service centers in Beijing were selected and assigned as intervention (one at urban and one at rural) and control (one at urban and one at rural ) groups, respectively. HCWs in the intervention group received guideline-oriented training based on The Applied Standards for Hypertension Prevention and Control at the Grassroots, while HCW in the control group did not. All HCWs participated in tests of the knowledge of hypertension management using the same questionnaire before and after the training to analyze their changes in awareness scores with a full of 32. Results There were 39 and 33 HCWs in the intervention group and 15 and 16 HCWs in the control group, respectively at urban, and 30 and 33 HCWs in the intervention group and 21 and 22 HCWs in the control group, respectively at rural before and after the training were involved in the tests, respectively. After training, overall knowledge scores of hypertension prevention and control in HCWs in the intervention group at urban increased obviously, with an average score of 26 of 32 ( 81.0% ) after training from 15 of 32 (45. 6% ) before it ( P ＜ 0. 01 ) , with a net increase of 28.5% (9/32), as compared to HCWs in the control group. Those at rural increased to 6. 6% (20/32) after training from 40. 7% (13/32) before it ( P ＜ 0.01 ), with a net increase of 22. 2 percent (7/32), as compared to HCWs in the control group. Their awareness of knowledge of hypertension prevention and control significantly improved, with the most obviously in the target of blood pressure control (51.7% vs. 31.5% ) and principles of pharmaceutical therapy (42. 2% vs. 27. 6% ). Conclusions Guideline-oriented training based on The Applied Standards for Hypertension Prevention and Control at the Grassroots can effectively improve community HCWs' awareness of knowledge of hypertension management and should be widely promoted in communities.

AIM: To study the possibility and conditions of transplacental infection of coxsackievirus B3(CVB 3) from pregnant mice to their fetuses and newborns. METHODS: Coxsackievirus B 3 strain causing balb/c mice myocardial injury(CVB 3m )was inoculated with 10 5 TCID 50 in dose into the mother mice at 6-7 days (early gestation),9-10 days (middle gestation) and 17-18 days (late gestation) of gestation, in contrast with non pregnant mice. Some placentas and fetuses were removed by caesarean section before mothers partusing; some mothers and their babies were sacrificed after parturition, and virus isolation, serological and pathological tests were performed. RESULTS: Viramiae was observed in mother mice of late gestation inoculated with CVB 3m at a fit amount on the second day after inoculation, while no newtralizing antibody to CVB 3m was detected in blood. The virus was isolated from cardiac muscles of inoculated mother mice in different gestation and the controls. The virus was also isolated from some placentas and fetuses, and both sera and cardiac muscles of infants in the late gestation (virus titer were all 10 -2 -10 -3 ). On d 7 of inoculating virus, pregnant and non pregnant mice titers of neutralizing antibody to CVB 3m in sera were all between 1160 and 1320. Under the electromicroscopy, some cardiac muscle cells of mother or infant mice appeared with morphological changes and little hollow bubbles occured in cytoplasm. The fibers broke off, and the bright and dark belts became indistinct. CONCLUSION: The amimal model, intraplacental passage of CVB 3 from pregnant mother in late gestation to fetus in mice, is a benefitial tool to study enterovirus diseases in human perinatal period.

Objective Up to the present time, no reports are seen at home or abroad on the clinical characteristics of severe acute pancreatitis (SAP) with persistent inflammation-immunosuppression-catabolism syndrome (PICS), and few studies have been conducted on the risk factors for PICS.This article summarizes the clinical characteristics of PICS in SAP patients and presents a multivariate regression analysis of its risk factors.Methods This is a retrospective study on the clinical data about 214 cases of SAP treated for over 14 days in the Surgical Intensive Care Unit (SICU) from January 1, 2014 to December 31, 2015.According to the diagnostic criteria of PICS, we divided the SAP patients into a PICS group (n=149) and a non-PICS group (n=65).We compared the systemic and pancreatitis-specific complications and mortality rates in the SICU and at 12 months after discharge.We also performed a multivariate regression analysis on the risk factors of PICS.Results The incidence rates of biliary SAP and multiple-organ dysfunction syndrome (MODS) were significantly higher in the PICS (44.3% and 93.3%) than in the non-PICS group (29.2% and 55.4%) (P=0.038).The results of multivariate regression analysis showed that the risk factors for PICS included obesity (OR=2.3;95% CI: 1.0-5.2), biliary causes (OR=4.2;95% CI: 1.4-13.0), and MODS (OR=4.4;95% CI: 1.3-14.4).The survival rate at 12 months after discharge was remarkably lower in the PICS than in the non-PICS group (88.5% vs 98.2%, P=0.036).Conclusion The incidence rate of PICS is high in SAP patients.Obesity, biliary causes and MODS are independent risk factors for PICS.The complication of PICS may be an important indicator of the poor prognosis of SAP.

Purpose/Significance To explore the application and predictive accuracy of various models in predicting the risk of ather-osclerosis in diabetic patients.Method/Process Based on the biochemical data table from the"Diabetes Complications Warning Dataset"provided by the National Population Health Science Data Center,MATLAB software is used to construct risk prediction models for diabe-tes-induced atherosclerosis.The models are built by using k-nearest neighbors(KNN),decision trees,backpropagation(BP)neural networks,and Naive Bayes algorithms,and which are subjected to comparative analysis.Result/Conclusion In terms of effectiveness,the predictive accuracy of Naive Bayes algorithm is the highest(61.6％),followed by the decision tree model(58.2％),the KNN mod-el(57.7％),and the BP neural network model(55.9％).The results of the confusion matrix and the receiver operating characteristic(ROC)curve indicate that the Naive Bayes model performs best.When comparing the models in terms of effectiveness,performance and stability,the Naive Bayes model is superior.

Objective:To investigate the implementation status of sepsis hour-1 bundle strategy for patients with septic shock in emergency department.Methods:A total of 116 septic shock patients admitted to the emergency department from January 2020 to December 2020 were included in this prospective study, and the implementation of sepsis bundles and the clinical outcomes of patients were recorded.Results:Among 116 patients, 20 cases (17.2%) had lactic acid monitored within 1 h, 20 cases (17.2%) had blood culture before antibiotics, 82 cases (70.1%) received broad-spectrum antibiotics, 16 cases (13.8%) received fluid resuscitation ≥30 ml/kg, and 57 cases (49.1%) received vasoactive drugs during resuscitation. Finally, the sepsis hour-1 bundle strategy was fully implemented only in 13 cases (11.2%). Compared with the group with incomplete implementation of sepsis hour-1 bundle strategy, the volume of fluid recovery in the group with full implementation was significantly increased [33.7 (30.0,37.5) vs. 8.9(7.3,10.8) ml/kg, Z=-4.78, P<0.001], mean artery blood pressure significantly increased [70.0 (70.0,76.7) vs. 67.7 (61.7,76.7)mmHg(1 mmHg=0.133 kPa) , Z=-2.00, P<0.001], and lactic acid significantly decreased [3.0 (2.0,3.2) vs. 4.4 (3.7,7.2) mmol/L, Z=-2.76, P=0.006]. However, there were no significant differences in ICU mortality, in-hospital mortality and 28-day mortality between the two groups ( P>0.05). Conclusions:Septic shock patients in emergency department have poor compliance with the implementation of sepsis hour-1 bundle strategy, and relevant management training should be strengthened.

AIM: To analyze and screen influencing factors of diabetic patients complicated with retinopathy, and establish and validate prediction model of nomogram.METHODS: A total of 1 252 patients from the Diabetes Complications Early Warning Dataset of the National Population Health Data Archive(PHDA)between January 2013 to January 2021 were selected and randomly divided into a modeling group(n=941)and a validation group(n=311). Univariate analysis, LASSO regression and Logistic regression analysis were used to screen out the influencing factors of diabetic retinopathy, and a nomogram prediction model was established. The receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve were used to evaluate the model. The clinical benefit was evaluated by the decision curve analysis(DCA).RESULTS: Age, hypertension, nephropathy, systolic blood pressure(SBP), glycated hemoglobin(HbA1c), high-density lipoprotein cholesterol(HDL-C), and blood urea(BU)were the influencing factors of diabetic retinopathy. The area under the curve(AUC)of the modeling group was 0.792(95%CI: 0.763-0.821), and the AUC of the validation group was 0.769(95%CI: 0.716-0.822). The Hosmer-Lemeshow goodness of fit test and calibration curve suggested that the theoretical value of the model was in good agreement(modeling group: χ2=14.520, P=0.069; validation group: χ2=14.400, P=0.072). The DCA results showed that the threshold probabilities range was 0.09-0.89 for modeling group and 0.07-0.84 for the validation group, which suggested the clinical net benefit was higher.CONCLUSION: This study constructed a risk prediction model including age, hypertension, nephropathy, SBP, HbA1c, HDL-C, and BU. The model has a high discrimination and consistency, and can be used to predict the risk of diabetic retinopathy in patients with diabetes.

Objective To analyze the risk factors influencing the occurrence of atherosclerosis in patients with type 2 diabetes, and to construct and evaluate a nomogram prediction model. Methods Multivariate logistic regression was used to analyze the risk factors of atherosclerosis in type 2 diabetes mellitus, and R software was used to build a nomogram prediction model. The accuracy and clinical validity of the model were verified by using H-L fit curve, area under ROC curve and calibration curve. Results The prevalence rate of atherosclerosis was 56.37%. Independent risk factors for atherosclerosis in type 2 diabetes mellitus (P<0.05) were body weight (OR=1.42，P<0.05), glycated serum protein (OR=1.35, P<0.05), lactate dehydrogenase (OR=1.17, P<0.05), alkaline phosphatase (OR=0.79, P<0.05), hyperlipidemia (OR=2.30, P<0.05), stroke (OR=4.20, P<0.05), coronary heart disease (OR=64.54, P<0.05), lower extremity artery disease (OR=24.52, P<0.05), and other endocrine diseases (OR=1.65 , P<0.05). The area under ROC curve was 0.91, the slope of the calibration curve was close to 1, and the H-L fit curve χ²=3.11. The internal verification result of the constructed nomogram prediction model was P=0.93. External verification of patients in the test set showed that the area under ROC curve was 0.91, indicating good differentiation and accuracy of the model. Conclusion The prediction model established by using the risk factors screened in this study has a high accuracy and differentiation, and medical staff can take effective prevention measures according to the individual factors of patients.

Objective:To investigate the efficacy and prognosis of CLAG±DAC (Clofarabine, Cytarabine, G-CSF±Decitabine) chemotherapy in patients with relapsed/refractory acute myeloid leukemia (R/R AML) .Methods:Continuous cases of R/R AML treated with the CLAG+DAC protocol or CLAG alone at the First Affiliated Hospital of Soochow University from January 2017 to December 2021 were retrospectively analyzed. The baseline characteristics, individual treatment regimen, treatment effect, disease progression, and survival status of patients were recorded. The factors influencing the efficacy of the CLAG±DAC chemotherapy regimens were analyzed, and the overall survival (OS) time after reinduction was calculated using the Kaplan-Meier method.Results:This study included a total of 53 patients, with 33 male patients and an average age of 40.6 years. Thirty-three patients achieved complete remission (CR+CRi) of the disease after the CLAG±DAC chemotherapy regimen and six patients achieved partial remission (PR), while 14 did not. Thirty-two patients eventually underwent hematopoietic stem cell transplantation, and the median OS of the patients was 55.9 months until follow-up. Patients with disease remission after the application of the CLAG±DAC chemotherapy had a significantly longer survival time than those without remission ( P<0.001). The results of the multifactorial analysis have revealed that combined DAC ( OR=4.60, 95% CI 1.14-23.5, P=0.04) and DNMT3A mutation ( OR=0.14, 95% CI 0.01-0.89, P=0.05) were the factors influencing the efficacy of the CLAG±DAC chemotherapy regimen. The remission rate was relatively higher in patients with R/R AML combined with FLT3-ITD mutation by applying the DAC+CLAG regimen ( OR=10.84, 95% CI 1.48-288.50, P=0.04) . Conclusion:The CLAG±DAC regimen is considered effective in patients with R/R AML, whereas decitabine combined with the CLAG regimen is more suitable for patients with R/R AML combined with FLT3-ITD mutation.

Objective To quantitatively analyze and evaluate the content of rehabilitation policy for people with disabilities in China. Methods This study focused on ten national policies of disability rehabilitation issued from 2021 to 2023.It employed text mining techniques to process policy texts and constructed a policy modeling consistency index model for dis-ability rehabilitation policies in China.The relevant policies were evaluated and analyzed quantitatively. Results The disability rehabilitation policies in China were relatively comprehensive in terms of policy transparency,op-erational mechanisms and policy nature.However,there was still a need for optimization in terms of policy per-spectives,target groups,incentive mechanisms,and other aspects. Conclusion The overall quality of disability rehabilitation policy texts at the national level in China is relatively good.There is a need to further enhance the predictability of policy objectives,clarify the responsibilities and division of labor among various departments,and improve policy incentive mechanisms in future policy formulation,which will further refine China's disability rehabilitation policy system and contribute to high-quality develop-ment of the disability cause.

Objective To assess the elderly health-related rehabilitation services(HRRS)needs from a community and population perspective and construct a community-based elderly HRRS framework. Methods The limitation of the elderly HRRS was analyzed,a community-based elderly rehabilitation service framework based on the International Classification of Functioning,Disability,and Health(ICF)was guided,and the imple-mentation path was proposed. Results This paper analyzed the evaluation,provision and models of existing community rehabilitation services both do-mestically and internationally.It combined the background and practical requirements of China's new era to eluci-date the connotation of HRRS for the elderly in the community.It proposed constructing a community-based el-derly HRRS framework guided by ICF.The paper also offered implementation strategies for promoting communi-ty-based elderly HRRS,focusing on enhancing leadership and policy,financing,human resources,service provi-sion,technology,and digital intelligence empowerment.It provided reference and insights for advancing the na-tional strategy of population aging and implementing the Healthy China strategy. Conclusion It is suggested to continue to accelerate the development of rehabilitation capacity,and increase the supply of HRRS,to meet the diverse needs of the masses of HRRS.