Objective: To investigate the characteristics and trend of stroke incidence in Yixing City, Jiangsu Province from 2016 to 2023, so as to provide the reference for formulating prevention and control strategies of stroke. Methods: Data of stroke case in Yixing City from 2016 to 2023 were collected from the National Health Information Platform of Yixing City, including sex, age, time of onset, and diagnostic subtypes. Crude incidence was standardized using the data from the 2010 Chinese National Population Census to analyze the characteristics of stroke incidence. The incidence trend of stroke was analyzed by average annual percent change (AAPC). Results: A total of 54 157 stroke cases were reported in Yixing City from 2016 to 2023, with a crude incidence of 629.52/100 000 and a standardized incidence of 299.50/100 000, showing an upward trend (AAPC=9.744% and 5.955%, both P<0.05). The crude and standardized incidence of stroke in males were significantly higher than those in females (695.30/100 000 vs. 565.79/100 000, 328.73/100 000 vs. 270.71/100 000, both P<0.05). Stroke incidence exhibited an age-dependent increase (P<0.05), peaking in the ≥60 years age group (1 820.43/100 000). The crude and standardized incidence of ischemic stroke (555.46/100 000 and 262.26/100 000) were significantly higher than those of hemorrhagic stroke (52.80/100 000 and 28.03/100 000, both P<0.05). From 2016 to 2023, the standardized incidences of stroke in males, females, the 0-<40 years age group, the 40-<60 years age group, the ≥60 years age group, and ischemic stroke all showed an upward trend (AAPC=6.692%, 4.925%, 5.607%, 5.777%, 5.698%, and 8.481%, respectively, all P<0.05). No significant temporal trend was observed for hemorrhagic stroke incidence (P>0.05). Conclusions The incidence of stroke among residents in Yixing City showed an upward trend from 2016 to 2023, with males and elderly individuals being high-risk populations. Ischemic stroke emerged as the predominant subtype, while a concerning trend of increasing stroke incidence among younger adults was observed.

Post-stroke cognitive impairment(PSCI),refers to a range of clinical syndromes of cognitive impairment caused by stroke.Although its specific pathogenesis is still unclear,many studies have confirmed that endoplasmic reticulum-mitochondria interaction has become a key hub for intracellular signal transduction and substance metabolism,and its regulation of various biological processes,such as Ca2+ balance,lipid metabolism,mitochondrial dynamics,autophagy,and neuroinflammation,is closely related to the development of PSCI.There-fore,in this paper,we will review the various functions of endoplasmic reticulum-mitochondrial interactions and explore their specific roles in PSCI,in order to discover new therapeutic targets and provide new theoretical basis and references for the development of PSCI-targeted drugs in the future.

Objective:To investigate the current situation and influencing factors of clinical nurses'clinical decision-making ability,and provide a reference and evidence for improving and enhancing the correct clinical decision-making ability of clinical nurses.Methods:A total of 300 clinical nurses in Shaanxi Province were selected as the research subjects by using the convenience sampling method.The General Information Questionnaire,Clinical Decision-Making Scale,and Comprehensive Decision-Making Style Scale were used to conduct the investigation and study.The influencing factors of clinical nurses'clinical decision-making ability were analyzed by using single-factor analysis and multivariate linear regression.Results:The total score of clinical nurses'clinical decision-making ability was(163.85±13.78)points,reaching the high-level standard of clinical decision-making ability(146.68-200.00)points.The results of Spearman rank correlation analysis showed that there was a significant positive correlation between the total score and the score of each dimension of clinical decision-making ability and the score of rational decision-making style(P<0.05).The score of the dimension of searching for information or new information was only negatively correlated with the score of intuitive-impulsive decision-making style(P<0.05).Avoidant decision-making style was negatively correlated with the scores of seeking information or new information,clarifying goals and values,the total score of clinical decision-making ability,and the dimensions of finding alternative solutions(P<0.05).The results of multiple linear regression showed that rational decision-making style can positively affect clinical nurses'clinical decision-making ability,while avoidance decision-making style can negatively affect it.Conclusion:The clinical nurses'clinical decision-making ability has been maintained at a relatively constant high level,and it is greatly influenced by rational and avoidant decision-making styles.Medical managers need to organize targeted training activities and other measures to promote the construction of clinical nurses'rational decision-making style and minimize the influence of avoidant decision-making style,thus improving the clinical nurses'clinical decision-making ability.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

OBJECTIVE To know about the current status of medical order auditing in pharmacy intravenous admixture service （PIVAS） of medical institutions nationwide， further improve the management of medical orders in PIVAS， and reduce and eliminate the occurrence of intravenous medication administration errors. METHODS Through the questionnaire survey method， to address the problems and current situation of PIVAS medical order auditing in medical institutions nationwide， experts from each province （autonomous region， municipality directly under the central government） in the research group were responsible for organizing the PIVAS directors of relevant medical institutions in their provinces to fill in the questionnaires on medical order audit and inappropriate medical order interventions， and conduct a statistical analysis of the results. RESULTS A total of valid 751 responses were received to the PIVAS questionnaire on the review of medical prescriptions. Our PIVAS medical order audit is mainly carried out by a combination of manual and computer. The median number of medical orders were audited by PIVAS per day were 700.00-771.00； the median number of new medical orders were audited by PIVAS per day were 209.68-215.00； medical order auditing rates were 85.50%-92.44% averagely； the inappropriate doctor’s orders accounted for 1.82%-1.89% averagely； the intervention rates of inappropriate medical orders ranged 74.90%-79.41%， the success rates of intervention were 79.62%-87.28% averagely； the medication refund rates were 2.92%-3.08%. CONCLUSIONS Most of the PIVAS in China’s healthcare institutions use medical order review software to assist in the review of medical orders， and there are cases of individual PIVAS in which medical orders are not reviewed comprehensively and inappropriate orders are not intervened in， and the standards and processes of medical prescription review need to be improved. It is recommended to emphasize the pharmacist’s responsibility system， standardize the use of prescription review software； gradually expand the scope of medical order review， and adopt a multi-departmental collaborative approach so as to increase the success rate of intervention for inappropriate prescriptions and reduce the rate of PIVAS withdrawals.

Objective To observe the value of diffusion kurtosis imaging(DKI)radiomics for evaluating Parkinson disease(PD).Methods Totally 76 PD patients(PD group)and 80 healthy controls(HC group)were retrospectively analyzed.The subjects were divided into training set(n=125,including 61 PD and 64 HC)and test set(n=31,including 15 PD and 16 HC)at the ratio of 8:2.ROI of bilateral substantia nigra,caudate nucleus,putamen,globus pallidus and thalamus were automatically delineated on mean kurtosis(MK)images of cerebral DKI.The mean MK values(MKmean)of the above ROIs were obtained and compared between groups.Support vector machine(SVM)model was constructed based on 50 selected optimal texture features.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of SVM model for evaluating PD.Results MKmean of bilateral substantia nigra,caudate nucleus and thalamus in PD group were all significantly lower than those in HC group(all P＜0.05).No significant difference of MKmean of bilateral putamen nor globus pallidus was found between groups(all P＞0.05).The sensitivity,specificity,accuracy and AUC of SVM model for evaluating PD in training set was 86.89％,93.75％,90.40％and 0.982,respectively,which in test set was 86.67％,93.75％,90.32％and 0.958,respectively.Conclusion DKI radiomics could be used to effectively evaluate PD through description of microstructural changes of cerebral nuclei.

Objective:To evaluate the clinical application value of iohexol plasma clearance assay in assessing glomerular filtration rate (GFR) in patients with chronic kidney disease (CKD), and identify alternative methods of 99mTc-diethylene triamine pentaacetic acid renal kinetic imaging (Gates) method for measuring GFR ( 99mTc-mGFR). Methods:It was a cross-sectional study. The CKD patients hospitalized in the Department of Nephrology at the Second Affiliated Hospital of Nanjing Medical University between October 2022 and September 2023 were enrolled. Iohexol plasma clearance was determined by collecting blood samples at 2 and 4 hours after intravenous administration of 5 ml iohexol, and high performance liquid chromatography was used to measure the plasma concentration of iohexol. Br?chner-Mortensen and Jacobsson formulas were used to calculate the double and single plasma iohexol clearance, respectively. CKD-epidemiology collaboration equation based on serum creatinine concentration was used to calculate the estimated GFR (eGFR). Pearson's coefficient was performed to analyze the correlation of iohexol dual plasma clearance assay-measured GFR (iohexol-DS-mGFR), iohexol single plasma 4 hours clearance assay-measured GFR (iohexol-SS 4h-mGFR), iohexol single plasma 2 hours clearance assay-measured GFR (iohexol-SS 2h-mGFR) and eGFR with 99mTc-mGFR as the gold standard. Bland-Altman analysis, 95% limits of agreement, and intra-correlation coefficient were used to compare the diagnostic concordance of Iohexol-DS-mGFR, Iohexol-SS 4h-mGFR, Iohexol-SS 2h-mGFR and eGFR with 99mTc-mGFR. Results:The study enrolled 64 CKD patients, aged (58.91±13.08) years old, comprising of 38 males and 26 females. The distribution of patients across CKD stages based on 99Tc-mGFR was as follows: 12 patients (18.8%) in stage 1, 14 patients (21.9%) in stage 2, 26 patients (40.6%) in stage 3, 10 patients (15.6%) in stage 4, and 2 patients (3.1%) in stage 5. The Pearson correlation analysis revealed that the correlation coefficients of iohexol-DS-mGFR, iohexol-SS 4h-mGFR, iohexol-SS 2h-mGFR and eGFR with 99mTc-mGFR were 0.925, 0.867, 0.820 and 0.894 (all P<0.001), respectively. The median deviation of absolute value of iohexol-DS-mGFR, iohexol-SS 4h-mGFR, iohexol-SS 2h-mGFR and eGFR in the total study population were 6.66, 9.63, 11.47 and 9.59 ml·min -1·(1.73 m 2) -1, respectively. The proportions of iohexol-DS-mGFR, iohexol-SS 4h-mGFR, iohexol-SS 2h-mGFR and eGFR located in the gold-standard GFR ± 10% interval (P10) were 35.9%, 29.7%, 26.6% and 29.7%, respectively, and the proportions located in the gold-standard GFR ± 30% interval ( P30 ) were 87.5%, 68.8%, 60.9% and 73.4%, respectively. Conclusions:Iohexol dual plasma clearance is well correlated and consistent with 99mTc-mGFR. It is a safe and easy alternative to isotope 99mTc-mGFR for clinical use in determining GFR.

Background Perfluorinated alkyl substances (PFAS) are a class of synthetic organic fluorides, which have adverse health effects on brain function, and limited research has been conducted on their effects on depression. Objective To assess potential correlation between serum PFAS and depression. Methods Using the 2015—2016 and 2017—2018 National Health and Nutrition Examination Survey (NHANES) datasets, 2626 subjects with complete relevant information in people ≥20 years old were selected. Logistic regression and restricted cubic splines were used to analyze the association and dose-response relationship between serum PFAS concentration and depression. Subgroup analysis was performed on sex, age, race, education level, marital status, family income to poverty ratio, moderate exercise, body mass index, and drinking status. Results Among the 2626 subjects, there were 666 patients (25.4%) with mild or above depression. After adjusting for race, education level, marital status, body mass index, moderate exercise, drinking history, cotinine, and other types of PFAS, serum perfluorooctane sulfonate (PFOS) was positively associated with the risk of depression (OR=1.85, 95%CI: 1.14, 3.02), and showed a nonlinear dose-response relationship (χ²=6.37, P_nonlinear=0.012). Perfluorononanoic acid (PFNA) was inversely associated with the risk of depression (OR=0.23, 95%CI: 0.14, 0.39), and showed a linear dose-response relationship (P_trend<0.001, χ²=35.13, P_overall<0.001). After subgroup analysis, it was found that males, 20-39 year-olds and 40-64 year-olds were more sensitive to PFNA exposure (OR=0.15, 95%CI: 0.06, 0.37; OR=0.16, 95%CI: 0.06, 0.40; OR=0.18, 95%CI: 0.08, 0.39). PFOS only showed a statistically significant health effect in people aged 20-39 years (OR=3.00, 95%CI: 1.14, 7.94). In addition, among subgroups of non-Hispanic blacks, cohabitants, current drinkers, high school graduates, and obese patients, exposure to PFAS was significantly associated with the risk of depression. Conclusion PFOS exposure may be associated with increased levels of depression, whereas PFNA exposure may be protective.

Five new spirostanol saponins (1-5) and seven known compounds (6-12) were isolated from the n-butanol fraction of 75% ethanol extract of Allii Macrostemonis Bulbus. The identification and structural elucidation of all the isolates were performed through extensive 1D and 2D NMR experiments, HR-ESI-MS data analysis and comparisons with literature values. Antioxidant evaluation showed that compounds 6-11 exhibited certain scavenging effects on ABTS radical, where compounds 6, 7 and 11 had IC₅₀ values of 0.208, 0.057 and 0.014 mg·mL^-1, respectively.
Saponins/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Magnetic Resonance Spectroscopy ; Antioxidants/pharmacology* ; Molecular Structure

Objective:To analyze the adverse psychological state and its influencing factors in patients with dysphagia after cerebral stroke.Methods:In this cross-sectional survey, 120 patients with dysphagia after cerebral stroke in the Department of Neurology, Stroke Center in Henan Provincial People′s Hospital from January 2021 to March 2022 were selected with convenience sampling method for questionnaire survey. The depression anxiety stress scale-21 (DASS-21), family adaption partnership growth affection resolve index (APGAR) and social support rating scale (SSRS) were used to evaluate the adverse psychological state, family care degree and social support in those patients. And general data of the patients were collected too. A total of 120 questionnaires were sent out and reclaimed, among them 116 were valid. One patient withdrew from the study on his own. Finally, 115 patients were included as research objects. Analysis of variance and LSD-t test were used to compare the adverse psychological state of patients with different characteristics, Pearson correlation analysis was used to analyze the correlation between adverse psychological state and family care and social support. The multivariate linear regression analysis was used to analyze the influencing factors of adverse psychological state in patients with dysphagia after cerebral stroke. Results:The total DASS-21 score in the 115 patients with dysphagia after stroke was (43.32±6.58) points, of which, it was (16.02±3.45) points in the depression dimension, (14.55±3.27) points in anxiety dimension, (12.75±4.01) points in stress dimension; the total score of APGAR was (5.15±0.87) points, the total score of SSRS was (28.75±5.16) points. Family care and social support were both negatively correlated with adverse psychological state in those patients ( r=-0.514, -0.433, both P<0.05). Marital status, per capita monthly income, number of complications, family care and social support were the influencing factors of adverse psychological state in patients with dysphagia after cerebral stroke (β′=0.501, -0.365, 0.234, -0.269, -0.372, all P<0.05). Conclusions:Patients with dysphagia after cerebral stroke have a higher degree of adverse psychological state. Marital status, per capita monthly income, complications, family care and social support can affect the mental health in those patients.