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.

OBJECTIVE: To observe the effects of electroacupuncture (EA) at "Shenting" (GV24) and "Baihui" (GV20) on mitochondrial autophagy in hippocampal neurons and silent information regulator sirtuin 1 (Sirt1)/forkhead box O3 (FOXO3)/PTEN-inducible kinase 1 (PINK1)/Parkin pathway in rats with learning-memory impairment after cerebral ischemia reperfusion injury. METHODS: A total of 35 male SD rats were randomly divided into a sham operation group (9 rats) and a modeling group (26 rats). In the modeling group, middle cerebral artery occlusion method was used to establish the middle cerebral artery ischemia-reperfusion (MCAO/R) model, and 18 rats of successful modeling were randomly divided into a model group and an EA group, 9 rats in each one. EA was applied at "Shenting" (GV24) and "Baihui" (GV20) in the EA group, 30 min a time, once a day for 14 days. After modeling and on 7th and 14th days of intervention, neurologic deficit score was observed; the learning-memory ability was detected by Morris water maze test; the morphology of neurons in CA1 area of hippocampus was detected by Nissl staining; the mitochondrial morphology was observed by transmission electron microscopy; the protein expression of Beclin-1, microtubule-associated protein 1 light chain 3B (LC3B), P62, Sitrt1, FOXO3, PINK1 and Parkin was detected by Western blot. RESULTS: After modeling, the neurologic deficit scores in the model group and the EA group were higher than that in the sham operation group (P<0.001); on 7th and 14th days of intervention, the neurologic deficit scores in the model group were higher than those in the sham operation group (P<0.001), the neurologic deficit scores in the EA group were lower than those in the model group (P<0.05, P<0.01). After modeling, the escape latency in the model group and the EA group was prolonged compared with that in the sham operation group (P<0.001); on 9th-13th days of intervention, the escape latency in the model group was prolonged compared with that in the sham operation group (P<0.001), the escape latency in the EA group was shortened compared with that in the model group (P<0.05, P<0.01, P<0.001). The number of crossing plateau in the model group was less than that in the sham operation group (P<0.001); the number of crossing plateau in the EA group was more than that in the model group (P<0.05). In the model group, in CA1 area of hippocampus, the number of neurons was less, with sparse arrangement, nuclear fixation, deep cytoplasmic staining, and reduction of Nissl substance; the morphology of mitochondrion was swollen, membrane structure was fragmented, and autophagic lysosomes were formed. Compared with the model group, in the EA group, in CA1 area of hippocampus, the number of neurons was increased, the number of cells of abnormal morphology was decreased, and the number of Nissl substance was increased; the morphology of mitochondrion was more intact and the number of autophagic lysosomes was increased. Compared with the sham operation group, in the model group, the protein expression of Beclin-1, FOXO3, PINK1, Parkin and the LC3BⅡ/Ⅰ ratio in hippocampus were increased (P<0.01, P<0.001), while the protein expression of P62 was decreased (P<0.05). Compared with the model group, in the EA group, the protein expression of Beclin-1, Sirt1, FOXO3, PINK1, Parkin and the LC3BⅡ/Ⅰratio in hippocampus were increased (P<0.001, P<0.01), while the protein expression of P62 was decreased (P<0.001). CONCLUSION EA at "Shenting" (GV24) and "Baihui" (GV20) can relieve the symptoms of neurological deficits and improve the learning-memory ability in MCAO/R rats, its mechanism may relate to the modulation of Sirt1/FOXO3/PINK1/Parkin pathway and the enhancement of mitochondrial autophagy.
Animals ; Electroacupuncture ; Male ; Rats, Sprague-Dawley ; Rats ; Forkhead Box Protein O3/genetics* ; Reperfusion Injury/metabolism* ; Ubiquitin-Protein Ligases/genetics* ; Brain Ischemia/complications* ; Mitochondria/genetics* ; Autophagy ; Protein Kinases/genetics* ; Sirtuin 1/genetics* ; Humans ; Memory Disorders/psychology* ; Signal Transduction

Sensors have been widely recognized in matrix metalloproteinases(MMP)detection for their high sensitivity,simplicity,speed and easy in vivo and vitro detection.The design thought of existing sensors is based on the structure of MMP-9 molecule or the enzyme activity to output different signals in response to sensing.In this paper,we summarize the current research status and difficulties of MMP-9 sensing detection technology,and further discuss the development prospects of MMP sensor,which will provide a reference for the detection of MMP-9 and other good biological target molecules.

Objective:To evaluate the clinical efficacy and impact on quality of life of the biofeedback (BF) therapy combined with the Wenyang Yiqi Prescription and self-efficacy interventions in patients with functional defecation disorders (FDD).Methods:A prospective, randomized controlled trial design was employed. A total of 128 FDD patients were selected from the Pelvic Floor Center of the Department of Proctology, Suzhou Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, between January 2021 and April 2023. These patients were randomly divided into two groups, with 64 cases in each group. Additionally, 41 historical control patients, who had received conventional BF training between June 2015 and January 2018 at the same center, were included for comparison. The historical control group received conventional BF therapy, the intervention group 1 combined BF therapy with self-efficacy interventions, and the intervention group 2 added the Wenyang Yiqi Prescription based on intervention group 1's treatment. All three groups underwent two treatment courses. Constipation symptom scores before and after treatment were performed; self-efficacy was assessed via the Self-Rated Abilities for Health Practices scale (SRAHP); health behaviors were evaluated using the Health-Promoting Lifestyle Profile (HPLP); anxiety and depression were evaluated through Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS); quality of life was measured through SF-36. Clinical efficacy was evaluated based on constipation symptom scores.Results:During the treatment period, seven patients dropped out due to personal reasons, leaving 61 patients in intervention group 1 and 60 patients in intervention group 2 for efficacy analysis.　The total effective rates were 80.32% (49/61) in intervention group 1, 83.33% (50/60) in intervention group 2, and 56.10% (23/41) in the historical control group. The total effective rates of both intervention groups were significantly higher than those in the historical control group ( χ2=7.06, 9.15; P=0.029, 0.010, respectively). After treatment, intervention group 2 showed significantly lower constipation-related straining scores [1 (1, 2) vs. 2 (1, 2), Z=-4.51] compared to intervention group 1 ( P<0.05). Additionally, intervention group 2 had lower scores for straining [1 (1, 2) vs. 2 (1, 2), Z=-3.15] and defecation time [1 (0, 1) vs. 1 (1, 2), Z=-3.13] compared to the historical control group ( P<0.05). Psychological comfort efficacy (19.13 ± 2.51 vs. 16.98 ± 1.86, t=5.36), health responsibility efficacy (23.63 ± 4.69 vs. 22.59 ± 3.05, t=2.06), and overall SRAHP scores (75.98 ± 4.44 vs. 72.33 ± 5.16, t=4.17) were higher in intervention group 2 compared to intervention group 1 ( P<0.05). The HPLP scores (79.33 ± 11.13 vs. 72.80 ± 9.20, t=3.10) of intervention group 2 were higher than those of the historical control group ( P<0.05). Emotional functioning scores (75.98 ± 18.45 vs. 68.92 ± 20.58 and 68.55 ± 18.21, F=20.91) in intervention group 2 were higher than in both intervention group 1 and the historical control group ( P<0.05). Conclusion:The combination of the Wenyang Yiqi Prescription with BF therapy and self-efficacy interventions effectively improves the clinical symptoms and quality of life in FDD patients.

Objective To compare the efficacy of low-frequency and high-frequency repetitive transcranial magnetic stimulation(rTMS)in patients with tremor-dominant Parkinson's disease.Methods A total of 88 tremor-dominant Parkinson's disease patients who visited Suqian Hospital of Nanjing Drum Tower Hospital Group from January 2021 to June 2024 were randomly assigned to low-frequency rTMS group(treated by 1 Hz stimulation)and high-frequency rTMS group(treated by 5 Hz stimulation),with 44 patients in each group.Treatment was administered once a day,five times a week,for 4 weeks.Another 50 patients were enrolled as the control group.During the rTMS treatment,regular medications were continuously administrated.Before and after treatment,the following assessments were conducted:unified parkinson's disease rating scale part Ⅲ(UPDRS-Ⅲ),Parkinson's disease questionnaire-39(PDQ-39),timed up and go(TUG)test,tremor amplitude,tremor peak frequency,and cortical excitability(resting motion threshold[rMT]and active motion threshold[aMT]).Results After treatment,there were significant differences in the UPDRS-Ⅲ score,TUG time,PDQ-39 score,rMT and aMT values,and tremor amplitude between the two groups(P<0.05),and the high-frequency rTMS group was lower/shorter than the other two group.There was no significant difference in tremor peak frequency between the two groups(P>0.05).Conclusion Both low-frequency and high-frequency rTMS can significantly improve motor function and quality of life in tremor-dominant Parkinson's disease patients.High-frequency rTMS demonstrates better efficacy in improving various symptoms and provides a more effective treatment option for tremor-dominant Parkinson's disease.

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 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.

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 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.