Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective To construct a nursing follow-up checklist for patients undergoing autologous hematopoietic stem cell transplantation,providing a basis for postoperative follow-up care.Methods Using evidence-based methods,the literature from major guide websites and databases using Chinese and English search terms was retrieved,and their quality was evaluated.The relevant items were extracted,and a first draft was formed.15 experts were selected in relevant fields from 14 tertiary hospitals in 13 provinces,cities,and autonomous regions across the country for Delphi inquiry.The nursing follow-up checklist was revised again based on expert opinions and clinical practice.The nursing follow-up checklist was initially applied and then revised again to form the final draft.Results 15 experts include 12 undergraduate and 3 master's degree holders.The positivity coefficients of the 2 rounds of inquiry were 100％;the authority coefficients of the experts were 0.815;the Kendall coefficients were 0.119 and 0.144,respectively;the differences were statistically significant(P＜0.001).The final nursing follow-up checklist was formed,which includes 6 primary indicators,including physiological status,psychological status,social and family support,living conditions,disease knowledge,and laboratory tests.19 patients(95％)found the follow-up content to be comprehensive.The follow-up nurses's satisfaction rate exceeded 85％.There were 27 secondary indicators and 61 tertiary indicators,with coefficients of variation of all indicators less than 0.25.Conclusion The nursing follow-up checklist is scientific,reliable,and practical,which can provide a basis for clinical nursing staff to follow up and comprehensively manage patients after autologous hematopoietic stem cell transplantation.

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective To establish an inductively coupled plasma-mass spectrometry(ICP-MS)method for the analysis of 29 mineral elements in Artemisiae Argyi Folium(AAF),and to develop a model for judging the origin of AAF based on the elemental fingerprint combined with chemometrics.Methods The variance method was used to compare the contents of 29 mineral elements in AAF samples from Qichun of Hubei province,Hebei province and Henan province,respectively.The discriminant models of AAF from different habitats were established by discriminant analysis,PLS-DA and PCA-Logistic regression algorithms.Results The differences of the 22 elements(V,Cr,Ni,As,Se,Rb,Mo,Cd,Sb,Ba,Hg,Pb,K,Li,B,Mg,Al,P,Ca,Fe,Zn,and Ga)in samples from Qichun of Hubei province,Hebei province and Henan province are extremely significant(P＜0.01).The discriminant analysis model showed that eight kinds of element variables(P,Cr,K,Li,Hg,Ba,Mg,and Mo),which have a significant effect on the origin discrimination are gradually introduced into the discriminant model,and the correct rate of back test is 100％.The correct rate of"leave one method"cross-validation is 96.7％.The PLS-DA model showed good prediction ability,and the variable importance projection values of K,P and Mg elements were greater than one,which could be used as the difference marker of AAF from different habitats.The accuracy of the origin discrimination model constructed by PC A-Logistic regression analysis was 100％.The elements with high first principal component loadings were Li,B,Mg,Al,P,K,Ca,V,Cr,Fe,Ni,Zn,As,Rb,Cd,Sb,and Ba.Conclusion This study shows that elemental fingerprint technology combined with chemometric analysis can identify AAF from Qichun of Hubei province,Hebei province,or Henan,providing technical support for the traceability of the origin of Artemisia argyi.

Objective To establish an inductively coupled plasma-mass spectrometry(ICP-MS)method for the analysis of 29 mineral elements in Artemisiae Argyi Folium(AAF),and to develop a model for judging the origin of AAF based on the elemental fingerprint combined with chemometrics.Methods The variance method was used to compare the contents of 29 mineral elements in AAF samples from Qichun of Hubei province,Hebei province and Henan province,respectively.The discriminant models of AAF from different habitats were established by discriminant analysis,PLS-DA and PCA-Logistic regression algorithms.Results The differences of the 22 elements(V,Cr,Ni,As,Se,Rb,Mo,Cd,Sb,Ba,Hg,Pb,K,Li,B,Mg,Al,P,Ca,Fe,Zn,and Ga)in samples from Qichun of Hubei province,Hebei province and Henan province are extremely significant(P＜0.01).The discriminant analysis model showed that eight kinds of element variables(P,Cr,K,Li,Hg,Ba,Mg,and Mo),which have a significant effect on the origin discrimination are gradually introduced into the discriminant model,and the correct rate of back test is 100％.The correct rate of"leave one method"cross-validation is 96.7％.The PLS-DA model showed good prediction ability,and the variable importance projection values of K,P and Mg elements were greater than one,which could be used as the difference marker of AAF from different habitats.The accuracy of the origin discrimination model constructed by PC A-Logistic regression analysis was 100％.The elements with high first principal component loadings were Li,B,Mg,Al,P,K,Ca,V,Cr,Fe,Ni,Zn,As,Rb,Cd,Sb,and Ba.Conclusion This study shows that elemental fingerprint technology combined with chemometric analysis can identify AAF from Qichun of Hubei province,Hebei province,or Henan,providing technical support for the traceability of the origin of Artemisia argyi.

Objective: o develop an onset risk prediction nomogram for patients with homocysteine-type (H-type) hypertension (HTH) based on pulse diagram parameters to assist early clinical prediction and diagnosis of HTH. Methods: Patients diagnosed with essential hypertension and admitted to Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai Hospital of Traditional Chinese Medicine, and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine from July 6th 2020 to June 16th 2021, and from August 11th 2023 to January 22nd 2024, were enrolled in this retrospective research. The baselines and clinical biochemical indicators of patients were collected. The SMART-I TCM pulse instrument was applied to gather pulse diagram parameters. Multivariate logistic regression was adopted to analyze the risk factors for HTH. RStudio was employed to construct the nomogram model, receiver operating characteristic (ROC) curve, and calibration curve (bootstrap self-sampling 200 times), and clinical decision curve were drawn to evaluate the model’s discrimination and clinical effectiveness. Results: A total of 168 hospitalized patients with essential hypertension were selected and divided into non-HTH group (n = 29) and HTH group (n = 139). Compared with non-HTH group, HTH group had a lower body mass index (BMI), and higher proportions of male patients and drinkers (P < 0.05). The ventricular wall thickening (VWT) could not be determined. The proportions of left common carotid intima-media wall thickness (LCCIMWT) and serum creatinine (SCR) were higher in HTH group (P < 0.05). The pulse diagram parameter As was significantly higher, and H4/H1 and T1/T were lower in HTH group (P < 0.05). Gender, alcohol consumption, serum creatinine, and the pulse diagram parameter H4/H1 were identified as independent risk factors for HTH (P < 0.05). The nomogram’s area under the ROC curve (AUC) was 0.795 [95% confidence interval (CI): (0.706 6, 0.882 8)], with a specificity of 0.724 and sensitivity of 0.799. After 200 times repeated bootstrap self-samplings, the calibration curve showed that the simulated curve fits well with the actual curve (x2 = 9.5002, P = 0.301 9). The clinical decision curve indicated that the nomogram’s applicability was optimal when the threshold for predicting HTH was between 0.38 and 1.00. Conclusion The nomogram model could be valuable for predicting the onset risk of HTH and pulse diagram parameters can facilitate early screening and prevention of HTH.

Objective To investigate the effects of physical activity and disease burden on self-ef-ficacy and quality of life in patients with inflammatory bowel disease(IBD).Methods A total of 312 IBD patients were selected by convenience sampling method.General information of patients was col-lected.Self-efficacy[Chronic Disease Management Self-Efficacy Scale(CDM-SES)],physical activi-ty[International Physical Activity Questionnaire-Short Form(IPAQ-SF)],disease burden[Inflamma-tory Bowel Diseases Disk(IBD-disk)Scale]and quality of life[Inflammatory Bowel Disease Ques-tionnaire(IBDQ)]were assessed in IBD patients.The chain-mediating effects of physical activity and disease burden on self-efficacy and quality of life in IBD patients were analyzed.Results There were statistically significant differences in self-efficacy of IBD patients with different ages,body mass index(BMI),places of residence,marital status,educational background and disease stages(P＜0.05);there were statistically significant differences in physical activity among IBD patients with different gen-der,age,place of residence,marital status,education background,disease stage and whether to use biological agents(P＜0.05);there were statistically significant differences in the disease burden of IBD patients with different BMI,place of residence,marital status,education background,payment method and disease stage(P＜0.05);there were statistically significant differences in the quality of life of IBD patients with different ages,places of residence,marital status,education levels,pay-ment methods,disease stages and whether to use biological agents(P＜0.05).The quality of life of IBD patients was positively correlated with self-efficacy and physical activity(r=0.605,0.482,P＜0.01),and negatively correlated with disease burden and disease stage(r=-0.550,-0.362,P＜0.01).Physical activity and disease burden partially mediated between self-efficacy and quality of life in IBD patients.Conclusion IBD patients exhibited moderate levels of self-effi-cacy,low levels of physical activity,and high disease burdens.Clinical healthcare professionals should actively take measures to improve patients'self-efficacy and physical activity levels to reduce disease burden.

OBJECTIVE: Therapeutic angiogenesis has become a promising approach for treating ischemic heart disease (IHD). The present study aims to investigate the effects of Qishen Granule (QSG) on angiogenesis in myocardial ischemia (MI) and the potential mechanism. METHODS: In vivo study was conducted on rat model of myocardial infarction. QSG was performed daily at a dose of 2.352 g/kg for four weeks. Cardiac function was assessed by echocardiogram and pro-angiogenic effects were evaluated by Laser Doppler and CD31 expression. Oxygen-glucose deprivation (OGD) was applied in cultured human umbilical vein endothelial cells (HUVECs). Cell viability, wound healing and tube formation assay were used to test functions of HUVECs. ELISA and Western blots were used to assess protein expressions of bone morphogenetic protein 2-delta-like 4-notch homolog 1 (BMP2-Dll4-Notch1) signaling pathway. RESULTS: The results showed that QSG improved heart function, cardiac blood flow and microvessel density in myocardial ischemic rats. In vitro, QSG protected HUVECs by promoting the cell viability and tube formation. QSG upregulated bone morphogenetic protein-2 (BMP2) and downregulated delta-like 4 (Dll4) and notch homolog 1 (Notch1) expressions both in rats and HUVECs. CONCLUSION QSG protected against MI by promoting angiogenesis through BMP2-Dll4-Notch1 pathway. BMP2 might be a promising therapeutic target for IHD.

Objective:To explore the clinical characteristics of biliary system diseases complicated by severe acute pancreatitis(SAP) and the risk factors.Methods:This is a retrospective cohort study. A retrospective analysis was conducted on the clinical data of 159 SAP patients admitted to the Department of Pancreatic and Biliary Surgery,the First Affiliated Hospital of Harbin Medical University from January 2019 to October 2024. There were 105 male cases, 54 female cases;aged (42.3±10.8)years (range:20 to 71 years). Grouping was performed according to the presence or absence of concurrent acute acalculous cholecystitis (AAC) and biliary stricture. There were 58 cases in the AAC group,including 40 males and 18 females;aged (43.8±10.6) years (range:28 to 71 years);101 cases in the non-AAC group,including 64 males and 37 females;aged (41.5±10.8) years (range:20 to 64 years);there were statistically significant differences between the two groups in terms of admission total bilirubin,Balthazar-CTSI score,fasting time,and the proportions of concurrent shock and sepsis (all P<0.05);the time from onset of SAP to diagnosis of AAC( M (IQR)) was 10.5 (13.3) days (range: 3 to 34 days). There were 15 cases in the biliary stricture group,including 13 males and 2 females;age (46.5±10.0) years (range:33 to 63 years);141 cases in the non-biliary stricture group,including 89 males and 52 females;age (41.9±10.8) years (range: 20 to 71 years); there were statistically significant differences between the two groups in the proportions of infected pancreatic necrosis,pancreatic head necrosis,and lower extremity venous thrombosis (all P<0.05);the time from the onset of SAP to the diagnosis of biliary stenosis in patients with biliary stenosis was 2.0 (3.0) months (range: 1 to 19 months). Univariate analysis was performed using independent sample t-test, Mann-Whitney U test, χ 2 test,or Fisher′s exact probability method,and variables with P<0.05 in univariate analysis were included in multivariate logistic regression analysis. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic and predictive value of the multivariate logistic regression model for AAC and biliary stricture. Results:There were statistically significant differences in fasting time,Balthazar-CTSI score,admission total bilirubin,and the proportions of concurrent shock and sepsis between the AAC group and non-AAC group ( P<0.05). Multivariate logistic analysis showed that admission total bilirubin ( OR=1.033,95% CI: 1.010 to 1.058, P=0.004),Balthazar-CTSI score ( OR=1.276,95% CI: 1.036 to 1.572, P=0.022),fasting time ( OR=1.127,95% CI: 1.044 to 1.216, P=0.002), and sepsis ( OR=4.033, 95% CI: 1.419 to 11.462, P=0.009) were independent risk factors for AAC complicated by SAP. The area under the curve (AUC) of the ROC curve was 0.820 (95% CI: 0.752 to 0.888). There were statistically significant differences in the proportions of infected pancreatic necrosis,pancreatic head necrosis,and lower extremity venous thrombosis between the biliary stricture group and non-biliary stricture group ( P<0.05). Multivariate logistic analysis showed that infected pancreatic necrosis ( OR=7.376,95% CI:1.566 to 37.750, P=0.012) and pancreatic head necrosis ( OR=3.898,95% CI:1.180 to 12.877, P=0.026) were independent risk factors for biliary stricture complicated by SAP. The AUC of the ROC curve was 0.806 (95% CI:0.715 to 0.898). Conclusions:AAC typically occurs in the early stage of SAP,and biliary stricture usually occurs in the late stage of SAP. Admission total bilirubin,Balthazar-CTSI score,fasting duration,and concurrent sepsis are independent risk factors for AAC complicating SAP. Infected pancreatic necrosis and pancreatic head necrosis are independent risk factors for biliary stricture complicating SAP.

ObjectiveTo explore the role and mechanism of Hei Xiaoyaosan in regulating the protein kinase B （Akt）/glycogen synthase kinase-3β （GSK-3β）/nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway in cascade modulation of oxidative stress and apoptosis for preventing and treating Alzheimer's disease （AD）. MethodsNinety male SD rats of 4 months old were randomly assigned into a control group （n=10）， a sham group （with injection of 1 μL normal saline into bilateral hippocampi， n=10）， and a modeling group （with injection of 1 μL beta-amyloid 1-42 solution into bilateral hippocampi to induce AD， n=70）. One week after modeling， 50 successfully modeled rats were selected and randomly allocated into model， donepezil hydrochloride （0.45 mg·kg^-1）， and high-， medium-， and low-dose （15.30， 7.65， 3.82 g·kg^-1， respectively） Hei Xiaoyaosan groups. The rats were administrated with corresponding drugs once daily for six consecutive weeks. The Morris water maze was used to assess the learning and memory abilities of rats. Hematoxylin-eosin （HE） staining was performed to reveal hippocampal morphological changes in AD rats. Apoptosis in the hippocampal CA3 region was detected by terminal-deoxynucleotidyl transferase-mediated Nick end labeling. Immunofluorescence was used to visualize the expression of neuronal nuclear antigen （NeuN） in the CA1 region. Additionally， enzyme-linked immunosorbent assay was performed to assess the activities of glutathione peroxidase （GSH-Px）， glutathione-S-transferase （GST）， and catalase （CAT） in the hippocampus. Real-time PCR was conducted to measure the mRNA levels of Akt， GSK-3β， Nrf2， and HO-1， while Western blot was employed to determine the protein levels of phosphorylated Akt （p-Akt）/Akt， phosphorylated GSK-3β （p-GSK-3β）/GSK-3β， Nrf2， and HO-1. ResultsCompared with the control group， the model group on day 5 showed an increase in total swimming distance （P<0.01）， a reduction in the percentage of time spent in the target quadrant （P<0.01）， reduced and disarranged neurons， nuclear condensation， varying degrees of cellular damage， increased apoptosis of hippocampal neurons （P<0.01）， decreased NeuN content （P<0.01）， weakend activities of GSH-Px， GST， and CAT （P<0.01）， and down-regulated mRNA levels of Nrf2 and HO-1 （P<0.01） and protein levels of p-Akt/Akt， p-GSK-3β/GSK-3β， Nrf2， and HO-1 （P<0.01） in the hippocampus. Compared with the model group， donepezil hydrochloride and high， medium， and low doses of Hei Xiaoyaosan shortened the total swimming distance on day 5 （P<0.05， P<0.01）， increased the percentage of time spent in the target quadrant （P<0.05， P<0.01）， improved the arrangement and morphology of neurons， reduced nuclear condensation and the apoptosis rate of hippocampal neurons （P<0.01）， increased the NeuN content （P<0.01）， enhanced the activities of GSH-Px， GST， and CAT （P<0.05， P<0.01）， and up-regulated the mRNA levels of Nrf2 and HO-1 （P<0.05， P<0.01） and the protein levels of p-Akt/Akt， p-GSK-3β/GSK-3β， Nrf2， and HO-1 （P<0.05， P<0.01） in the hippocampus. ConclusionHei Xiaoyaosan can regulate the Akt/GSK-3β/Nrf2/HO-1 pathway to enhance the antioxidant stress capacity and inhibit neuron apoptosis to exert the neuroprotective effect， thereby ameliorating the cognitive dysfunction and pathological damage in AD rats.