Objective: To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures. Methods: Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination. Conclusion The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.

ObjectiveTo preliminarily explore the active components and target pathways of Angelicae Sinensis Radix-Polygonati Rhizoma （ASR-PR） herb pair in the treatment of simple obesity through network pharmacology and molecular docking， and to verify and investigate its mechanism of action via animal experiments. MethodsThe chemical constituents and targets of ASR and PR were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. Targets related to simple obesity were identified by retrieving the GeneCards， Online Mendelian Inheritance in Man （OMIM）， Pharmacogenomics Knowledgebase （PharmGKB）， and DisGeNET databases. The intersection of drug and disease targets was used to construct an active component-target network using Cytoscape software. This network was imported into the STRING database to construct a protein-protein interaction （PPI） network， and topological analysis was conducted to identify core genes. Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis and mapping were performed using the DAVID database and the Microbioinformatics platform. AutoDock 1.5.7 software was used to perform molecular docking between the top five active components and core targets. An animal model of simple obesity was established by feeding C57BL/6J mice a high-fat diet. The mice were administered ASR （2.06 g·kg^-1）， PR （2.06 g·kg^-1）， or ASR-PR （4.11 g·kg^-1） for 10 weeks， while the model group received an equal volume of purified water by gavage. After the administration period， the mice were sacrificed to measure body fat weight and serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. Hematoxylin-eosin （HE） staining was used to observe histopathological sections of liver and adipose tissue. Serum levels of leptin， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） were determined by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of epidermal growth factor receptor （EGFR） and signal transducer and activator of transcription 3 （STAT3） in liver tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsNetwork pharmacology and molecular docking results indicated that the treatment of simple obesity by ASR-PR may involve the regulation of protein expression of core targets EGFR and STAT3 by its main components MOL009760 （Siberian glycoside A_qt）， MOL003889 （methyl protodioscin_qt）， MOL009766 （resveratrol）， MOL006331 （4′，5-dihydroxyflavone）， and MOL004941 （baicalin）， thereby modulating the PI3K/Akt and JAK/STAT signaling pathways. The animal experiment results showed that compared with the normal group， the model group had significantly increased body weight， body fat weight， and serum levels of TG， TC， TNF-α， IL-6， and leptin （P<0.01）. EGFR mRNA expression was significantly elevated （P<0.05）， while STAT3 mRNA expression was significantly decreased （P<0.01）. Histological analysis revealed disordered hepatic architecture in the model group， with pronounced lipid vacuoles， cytoplasmic loosening， lipid accumulation， and steatosis. Adipocytes in white adipose tissue （WAT） and brown adipose tissue （BAT） of the model group exhibited markedly increased diameters， reduced cell counts per unit area， and irregular morphology. Compared with the model group， the ASR-PR group significantly reduced body weight， body fat weight， serum TC， IL-6， TNF-α， leptin levels， and EGFR mRNA expression （P<0.01）. TG levels were also significantly decreased （P<0.05）， while STAT3 mRNA expression was significantly increased （P<0.01）. Histopathological improvements included reduced size and number of hepatic lipid vacuoles and restoration of liver cell morphology toward that of the normal group. The diameter of adipocytes significantly decreased， and the number of adipocytes per unit area increased. ConclusionASR-PR may regulate the expression of key target proteins such as EGFR and STAT3 via its core active components， modulate the PI3K/Akt and JAK/STAT signaling pathways， repair damaged liver and adipose tissues， and thereby alleviate the progression of obesity in mice.

ObjectiveTo preliminarily explore the active components and target pathways of Angelicae Sinensis Radix-Polygonati Rhizoma （ASR-PR） herb pair in the treatment of simple obesity through network pharmacology and molecular docking， and to verify and investigate its mechanism of action via animal experiments. MethodsThe chemical constituents and targets of ASR and PR were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. Targets related to simple obesity were identified by retrieving the GeneCards， Online Mendelian Inheritance in Man （OMIM）， Pharmacogenomics Knowledgebase （PharmGKB）， and DisGeNET databases. The intersection of drug and disease targets was used to construct an active component-target network using Cytoscape software. This network was imported into the STRING database to construct a protein-protein interaction （PPI） network， and topological analysis was conducted to identify core genes. Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis and mapping were performed using the DAVID database and the Microbioinformatics platform. AutoDock 1.5.7 software was used to perform molecular docking between the top five active components and core targets. An animal model of simple obesity was established by feeding C57BL/6J mice a high-fat diet. The mice were administered ASR （2.06 g·kg^-1）， PR （2.06 g·kg^-1）， or ASR-PR （4.11 g·kg^-1） for 10 weeks， while the model group received an equal volume of purified water by gavage. After the administration period， the mice were sacrificed to measure body fat weight and serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. Hematoxylin-eosin （HE） staining was used to observe histopathological sections of liver and adipose tissue. Serum levels of leptin， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） were determined by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of epidermal growth factor receptor （EGFR） and signal transducer and activator of transcription 3 （STAT3） in liver tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsNetwork pharmacology and molecular docking results indicated that the treatment of simple obesity by ASR-PR may involve the regulation of protein expression of core targets EGFR and STAT3 by its main components MOL009760 （Siberian glycoside A_qt）， MOL003889 （methyl protodioscin_qt）， MOL009766 （resveratrol）， MOL006331 （4′，5-dihydroxyflavone）， and MOL004941 （baicalin）， thereby modulating the PI3K/Akt and JAK/STAT signaling pathways. The animal experiment results showed that compared with the normal group， the model group had significantly increased body weight， body fat weight， and serum levels of TG， TC， TNF-α， IL-6， and leptin （P<0.01）. EGFR mRNA expression was significantly elevated （P<0.05）， while STAT3 mRNA expression was significantly decreased （P<0.01）. Histological analysis revealed disordered hepatic architecture in the model group， with pronounced lipid vacuoles， cytoplasmic loosening， lipid accumulation， and steatosis. Adipocytes in white adipose tissue （WAT） and brown adipose tissue （BAT） of the model group exhibited markedly increased diameters， reduced cell counts per unit area， and irregular morphology. Compared with the model group， the ASR-PR group significantly reduced body weight， body fat weight， serum TC， IL-6， TNF-α， leptin levels， and EGFR mRNA expression （P<0.01）. TG levels were also significantly decreased （P<0.05）， while STAT3 mRNA expression was significantly increased （P<0.01）. Histopathological improvements included reduced size and number of hepatic lipid vacuoles and restoration of liver cell morphology toward that of the normal group. The diameter of adipocytes significantly decreased， and the number of adipocytes per unit area increased. ConclusionASR-PR may regulate the expression of key target proteins such as EGFR and STAT3 via its core active components， modulate the PI3K/Akt and JAK/STAT signaling pathways， repair damaged liver and adipose tissues， and thereby alleviate the progression of obesity in mice.

OBJECTIVE To explore the mechanism by which Cuscuta chinensis flavonoids （CCF） promote decidualization and improve recurrent spontaneous abortion （RSA）. METHODS HTR-8/SVneo cells in logarithmic growth phase were randomly divided into blank group， lipopolysaccharide （LPS） group， CCF group， SGK2 inhibitor （GSK650394， abbreviated as “GSK”） group and CCF+GSK group. Each group was treated with the corresponding agents accordingly. HTR-8/SVneo cells with SGK2 knockdown were randomly divided into small interfering RNA of SGK2 （siSGK2） group and siSGK2+CCF group； additionally， blank group and LPS group were established； each group was treated with the corresponding agents accordingly. The cell survival rate， expression levels of WNK signaling pathway- and decidualization-related proteins and mRNAs， as well as mitochondrial membrane potential levels， were assessed in each group before and after SGK2 knockdown. RSA mice model was constructed and randomly divided into model group， CCF low-dose group， CCF high-dose group， GSK group， and combined dosing group， with 4 mice in each group. Other 4 normal pregnant female mice were selected as the control group. The number of implanted embryos， viable fetuses， and lost embryos in mice was recorded. The morphological changes of endometrium and decidualization were observed， and WNK signaling pathway- and decidualization-related proteins and mRNAs expressing levels as well as mitochondrial membrane potential levels were all detected. RESULTS Compared with the blank group， the cell survival rate， as well as the protein and mRNA expression levels of SGK2， WNK1， WNK4， prolactin， insulin-like growth factor- binding protein-1， oxidative stress responsive kinase 1， and Ste20-like proline-/alanine-rich kinase were significantly reduced in the LPS group （P＜0.05）； compared with the LPS group， the cell survival rate and the expression levels of the above- mentioned proteins and mRNAs were significantly increased in the CCF group， while the cell survival rate and the expression levels of the above-mentioned proteins and mRNAs were significantly decreased in the GSK group （P＜0.05）； compared with the CCF group， the cell survival rate and the expression levels of the above-mentioned proteins and mRNAs were significantly reduced in the CCF+GSK group （P＜0.05）. After knocking down SGK2， compared with the LPS group， the cell survival rate， red/green fluorescence intensity ratio， and the expression levels of the above-mentioned proteins and mRNAs were significantly reduced in the siSGK2 group （P＜0.05）； compared with the siSGK2 group， the cell survival rate， red/green fluorescence intensity ratio， and the expression levels of the above-mentioned proteins and mRNAs were significantly increased in the siSGK2+CCF group （P＜0.05）. The in vivo experimental results showed that CCF treatment can significantly improve the number of implanted embryos and viable fetuses in RSA model mice and reduce lost embryos， the expression levels of the above-mentioned proteins and mRNAs in endometrial tissue were significantly increased， and the red/green fluorescence intensity ratio was significantly increased （P＜ 0.05）； the combined dosing group could reverse the effect of CCF （P＜0.05）. CONCLUSIONS CCF can activate SGK2， up- regulate the WNK signaling pathway， promote endometrial decidualization， and improve RSA.

Objective : To investigate the effect and mechanism of sex-determining region Y-box transcription factor 4(SOX4) on autophagy in small cell lung cancer(SCLC) cells. Methods : Human SCLC cell line NCI-H446 was transfected with small interfering RNA(siRNA) to knockdown SOX4. RT-qPCR and Western blot were used to verify the transfection efficiency. NCI-H446 cells were divided into control group, si-SOX4 group, si-SOX4+oe-Beclin1 group and oe-Beclin1 group. Western blot analysis was performed to detect the ratio of microtubule-associated protein 1 light chain 3(LC3)-Ⅱ/LC3-Ⅰ expression and the expression of Beclin1 and p62 in different groups of cells. The transcriptional regulation of Beclin1 by SOX4 was detected by dual luciferase reporter assay and chromatin immunoprecipitation PCR(ChIP-PCR) assay. CCK-8 assay was used to detect the proliferation ability of NCI-H446 cells in different groups. Flow cytometry was used to detect the apoptosis rate of NCI-H446 cells in different groups. Transwell assay was performed to determine the cell migration and invasion ability in different groups. Results: Compared with the control group or the si-NC group, the relative mRNA and protein expression level of SOX4 in si-SOX4 group were down-regulated(P<0.05), and the ratio of LC3-Ⅱ/LC3-Ⅰ protein expression and the relative protein expression level of Beclin1 in si-SOX4 group decreased(P<0.05), the relative protein expression of p62 increased(P<0.05). The relative luciferase activity of Beclin1 WT in the si-SOX4 group was lower than that in the si-NC group(P<0.05); the relative enrichment of Beclin1 promoter in the Anti-SOX4 group was higher than that in the Anti-Ig G group( P<0. 05). Compared with control group,cell proliferation activity decreased,cell apoptosis rate increased,migration number and invasion number decreased in si-SOX4 group( P<0. 05). Compared with the si-SOX4 group,the ratio of LC3-Ⅱ/LC3-Ⅰ protein expression and the relative protein expression of Beclin1 increased in si-SOX4 + oe-Beclin1 group,while the relative protein expression of p62 decreased,cell proliferation activity increased,apoptosis rate decreased,migration number and invasion number increased( P<0. 05). Conclusion Down-regulation of SOX4 can inhibit autophagy,decrease proliferation activity of NCI-H446 cells,and inhibit cell migration and invasion by inhibiting Beclin1 expression.

Objective: To investigate the value of decreased carbohydrate antigen 19-9(CA19-9) kinetics in predicting short-term outcomes and determining prognosis among advanced biliary or pancreatic cancer patients receiving first-or second-line therapy in the real world. Methods : Eighty-nine patients were retrospectively collected with advanced biliary or pancreatic cancer, especially on the CA19-9 dynamics and decline rates at different time points. This study evaluated the association of CA19-9 changes with clinicopathological features, short-term response to antitumor therapy, and survival outcomes. Results : The enrolled patients recorded baseline CA19-9 levels ranging from 1.20 to 65 706.40 U/ml, with a median of 303.11 U/ml. There was no statistical correlation between baseline CA19-9 levels and gender, age, body mass index, primary tumor site, hepatic metastases, pulmonary metastases, lymph node metastases, peritoneal metastases, performance status, treatment lines, and combinations of drug types. Baseline CA19-9 levels were not associated with systemic immunoinflammatory index, prognostic nutritional index, and total bilirubin. A 25% or 50% decrease in CA19-9 after 2-3 therapy courses indicated short-term efficacy in reaching tumor objective remission or disease control. Both combinations of multiple drug types and a 25% decline in CA19-9 after one course of treatment were independent prognostic factors that affected the longer progression-free survival of patients receiving first or second line of treatment. Conclusion Decreased CA19-9 kinetics has specific values in predicting the efficacy and prognosis of advanced biliary or pancreatic cancer.

OBJECTIVE To study the extraction technology of Sophora flavescens-Phellodendron chinense drug pair and provide a reference for the development of new drugs for the treatment of anorectal diseases. METHODS Using the contents of total alkaloids of S. flavescens （matrine+oxymatrine）， berberine hydrochloride and total flavonoid， and extract yield as evaluation indicators， analytic hierarchy process-entropy weight method was used to calculate the weight coefficient of each indicator， and was combined with Box-Behnken design-response surface method to study the extraction technology of S. flavescens-P. chinense drug pair and verify it. RESULTS The optimal extraction technology of S. flavescens-P. chinense drug pair was immersed in 12-fold amount of 58% ethanol for 30 minutes and extracted twice， each time for 120 minutes. The relative error between the verification experimental results and the predicted value was 1.88%. CONCLUSIONS The obtained extraction technology is stable and feasible and can provide reference for the application of S. flavescens-P. chinense drug pair and development of new drugs.

Objective To explore the value of serum stearoyl sphingosine(C18∶1-Cer)and 1-stearoyl-sn-glycero-3-phospho-choline(LPC 18∶0)levels in pregnant women's serum samples during pregnancy in predicting gestational diabetes mellitus(GDM).Methods The clinical data and laboratory indicators of 126 pregnant women were retrospectively analyzed.The sub-jects were divided into GDM group(n=66)and control group(n=60)according to the GDM diagnosis results.Mass spec-trometry was used to detect the serum C18∶1-Cer and LPC18∶0 levels of the subjects in early and mid pregnancy.Logistic re-gression analysis was used to screen out the risk factors for GDM.Receiver operating characteristic(ROC)curve was used to evaluate the predictive value of C18∶1-Cer,LPC18∶0 and their combination for GDM.Results Compared with the control group,the serum C18∶1-Cer and LPC18∶0 levels of the subjects in the GDM group were significantly increased in early(18.92±2.77ng/ml vs 23.47±4.18ng/ml,41.32±17.55ng/ml vs 88.08±16.02ng/ml)and mid pregnancy(23.14±4.10ng/ml vs 18.76±4.05ng/ml,84.60±14.53ng/ml vs 40.50±17.79ng/ml),and the differences were statistically significant(t=7.127,15.637;-5.984,2.174,all P＜0.05)C18∶1-Cer was positively correlated with fasting plasma glucose(FPG),fasting plasma insulin(FPI),homeostasis model assessment of insulin resistance(HOMA-IR),glycated hemoglobin(HbA1c)and triglyceride(TG)(r=0.458,0.209,0.317,0.223,0.219,all P<0.05).LPC18.0 was positively correlated with FPG,FPI,HOMA-IR,HbA1c,total cholesterol(TC)and TG(r= 0.715,0.426,0.580,0.465,0.232,0.372,all P<0.05).Logistic regression analysis results showed that C18∶1-Cer[OR(95%CI):1.522(1.136～2.039),P<0.05]and LPC18:0[OR(95%CI):1.198(1.102～1.302),P<0.001]were independent risk factors for GDM.ROC curve analysis results showed that the area under the curve(AUC)of serum C18∶1-Cer,LPC18∶0 and the combination of the two indicators were 0.819,0.971 and 0.986,respectively.The predictive performance of the combination of the two indicators was better than that of the single detection.Conclusion Serum C18∶1-Cer and LPC18∶0 in early pregnancy were closely related to the occurrence of GDM.C18∶1-Cer combined with LPC 18∶0 has a certain predictive value for the early diagnosis of GDM.

Objective:To explore the predictive value of admission serum homocysteine levels and quantitative electroencephalogram (qEEG) indicators for adverse outcomes in patients with cerebral hemorrhage.Methods:A retrospective study was conducted on 89 patients, who were collected as the study objects with hemorrhagic stroke treated in the neurology intensive care unit at Kailuan General Hospital from January 2017 to December 2022. Patients were categorized into two groups based on modified Rankin Scale (mRS) scores at discharge: a good prognosis group (mRS≤2) and a poor prognosis group (mRS 3-6). Clinical data and qEEG monitoring of various brain regions were collected. The impact factors of hemorrhagic prognosis were analyzed using multifactorial logistic regression. ROC curve analysis was performed to assess the predictive value of qEEG and admission homocysteine levels for adverse outcomes in hemorrhagic stroke patients.Results:(1) The age of the poor prognosis group was higher than that of the good prognosis group((66.51+13.64) to (60.53+11.69), t=2.15, P=0.034) and admission serum homocysteine levels were significantly higher in the poor prognosis group than in the good prognosis group (17.28(15.52,24.72)mmol/L to 14.50(10.28,16.00)mmol/L, Z=4.14, P<0.001). (2) In the poor prognosis group, power values of δ brain waves in leads Fp1-2, F4, C4, P4, F8, and T4 were higher than those in the good prognosis group (87.99(41.57,196.69) to 50.67(26.64,54.75), Z=2.76, P=0.006); (79.17(40.71,200.00) to 45.06(20.22,61.00), Z=2.10, P=0.036); (72.64(34.97,219.78) to 34.42(19.81,63.4), Z=2.03, P=0.043); (65.06(33.36,177.45) to 28.12(15.88,63.36), Z=2.08, P=0.038); (52.92(25.64,187.91) to 23.61(11.67,43.26), Z=2.21, P=0.027); (66.67(32.56,180.76) to 36.31(17.2,53.78), Z=2.46, P=0.014); (57.30(25.24,127.04) to 29.57(11.91,41.89), Z=2.26, P=0.024). Power values of θ brain waves in leads Fp1-2, F3, F4, C3, C4, P3-4, O1, F7-8, and T3-4 were higher in the poor prognosis group(77.45(47.63,138.72)比35.88(20.92,44.81), Z=3.50, P<0.001); (77.05(35.16,120.22) to 38.74(19.86,58.09), Z=2.27, P=0.023); (85.24(52.53,147.90) to 35.42(14.7,52.59), Z=2.61, P=0.009); (75.81(37.90,124.97) to 36.85(17.92,55.43), Z=2.30, P=0.021); (72.00(43.92,123.54) to 28.37(14.02,51.9), Z=2.22, P=0.027); (67.08(32.01,104.05) to 31.32(17.98,45.28), Z=2.10, P=0.035); (55.33(32.29,94.30) to 25.64(11.87,34.01), Z=2.24, P=0.025); (48.84(20.64,96.28) to 19.85(9.83,28.58), Z=2.30, P=0.022);(48.46(25.06,81.78) to 23.95(8.80,29.16), Z=2.51, P=0.012); (64.46(39.38,112.44) to 26.85(15.74,39.58), Z=2.80, P=0.005); (65.68(31.78,102.00) to 31.09(15.98,46.96), Z=2.38, P=0.017); (45.26(28.34,73.14) to 21.45(10.57,36.59), Z=2.04, P=0.042); (43.50(22.58,78.67) to 25.45(11.91,32.26), Z=2.22, P=0.027). Power values of slow-wave index in leads Fp1-2, F3-4, C3-4, P4, F7-8, and T4, as well as the overall brain average, were higher in the poor prognosis group (6.64(2.98,10.42) to 3.65(2.31,4.30), Z=2.65, P=0.01); (6.53(3.96,11.65) to 3.53(2.56,4.51), Z=2.30, P=0.022); (7.38(4.62,13.12) to 3.83(1.70,4.71), Z=2.38, P=0.017); (5.88(4.02,12.15) to 3.18(2.21,4.46), Z=2.29, P=0.022); (6.13(3.83,11.22) to 2.97(1.53,4.58), Z=2.01, P=0.044); (6.07(3.53,9.39) to 2.74(2.00,3.81), Z=2.40, P=0.016);(4.11(2.51,9.23) to 2.18(1.37,2.82), Z=2.25, P=0.024); (5.71(3.81,10.44) to 3.22(1.86,4.04), Z=2.28, P=0.023); (6.00(3.65,10.37) to 3.04(2.00,4.00), Z=2.39, P=0.017); (4.08(2.56,8.33) to 2.08(1.60,3.14), Z=2.50, P=0.013), with significant statistical differences noted (5.45(3.31,10.08) to 3.17(2.02,4.88), Z=3.62, P=0.005). (3) Logistic regression results showed that admission homocysteine levels ( OR 1.311,95% CI 1.008-1.705, P=0.044), admission NIHSS scores ( OR 1.588,95% CI 1.074-2.349, P=0.020), and overall brain average slow-wave index were influencing factors for poor prognosis in cerebral hemorrhage ( OR 8.596,95% CI 1.088-67.889, P=0.041). (4) ROC curve analysis revealed that the AUC for predicting adverse outcomes in cerebral hemorrhage was 0.768 (95% CI (0.665, 0.872)) for admission homocysteine levels, 0.743 (95% CI (0.634, 0.852)) for the overall brain average slow-wave index, and 0.896 (95% CI (0.827, 0.965)) for admission NIHSS. The cutoff values were 15.67, 3.62, and 8.5, respectively. Sensitivity was 77.8%, 71.1%, and 68.9%, and specificity was 59.4%, 68.7%, and 100%, respectively. The Youden indices were 0.372, 0.398, and 0.689. Conclusion:In the acute phase of cerebral hemorrhage, electroencephalographic physiological changes manifest shows an increase in the δ, θ, and slow-wave index throughout the entire brain. Higher admission homocysteine levels suggest a worse prognosis in patients with cerebral hemorrhage. Admission homocysteine levels and overall brain average slow-wave index have certain predictive value for adverse outcomes in acute cerebral hemorrhage.

The discussion on the connotation of children’s subjectivity is not only a response to the lack of children’s subjectivity at the current stage of health management, but also a reference for children’s medical science popularization. Based on the perspective of social critical theory, this study used empirical research methods to review the "Dream Medical College" project of Children’s Hospital of Fudan University. The current situation and influencing factors of health management experience of 1 520 children participating in the "Dream Medical College" project were analyzed. The study showed that 96.35% of 1 316 subjects had diagnosis and treatment experience in specialized hospitals, and the overall negative emotional performance was at a low level (0~12 points). There was significant correlation between diagnosis and treatment, invasive experience and children’s emotional performance (P<0.05). The study revealed that the diagnosis and treatment field is the main practice place of children’s health management, while the subjective of children with different diagnosis and experience perform significantly different. Children over 4 years old have better language anxiety than physical anxiety when receiving diagnosis and treatment. Although medical science popularization is an important practical form of children’s health management, it lacks the science popularization content of invasive diagnosis and treatment and emotional management, and creative popular science form is more suitable for children with long-term and frequent diagnosis and treatment experience.