OBJECTIVE To investigate the influence of CYP2C19 gene polymorphism on platelet function and inflammatory cytokines in elderly patients with ischemic stroke， and to analyze potential factors associated with poor prognosis. METHODS A retrospective study was conducted on elderly patients with ischemic stroke admitted to our hospital from June 2024 to June 2025， wh o underwent CYP2C19 genotype testing and received antiplatelet therapy with clopidogrel. The levels of platelet function indicators and inflammatory cytokines before and after treatment were compared among patients with different metabolic phenotypes. Based on the prognosis at 6 months post-treatment， patients were divided into poor prognosis group and good prognosis group. Univariate analysis was performed on general data， metabolic phenotype， the levels of platelet function indicators and inflammatory cytokines. Variables with P ＜0.05 and the levels of inflammatory cytokines before treatment were included in a multivariate Logistic regression analysis to identify independent risk factors for poor prognosis. Multiple linear regression was used to further analyze the relationship between metabolic phenotypes and inflammatory cytokines. RESULTS A total of 448 elderly patients with ischemic stroke were included； among them， 162 cases were normal metabolic phenotype， 218 were intermediate metabolic phenotype， and 68 were poor metabolic phenotype. No rapid or ultrarapid metabolic phenotypes were observed. After treatment， platelet aggregation rate， the levels of P-selectin and platelet activated complex-1 （PAC-1）， high-sensitivity C-reactive Protein （hs-CRP）， interleukin-1β （IL-1β）， IL-6 and tumor necrosis factor-α （TNF-α） in the normal metabolic phenotype group， intermediate metabolic phenotype group， and poor metabolic phenotype group （except for platelet aggregation rate， and the levels of P-selectin and PAC-1 in the poor metabolic phenotype group） were significantly lower than those before treatment in the same group. Moreover， the above indicators in the normal metabolic phenotype group were significantly lower than those in the intermediate and poor metabolic phenotype groups at the corresponding time， and the levels of platelet function indicators in the intermediate metabolic phenotype group were significantly lower than those in the poor metabol ic phenotype group at the corresponding time （ P ＜0.05）. Univariate and multivariate Logistic regression analyses showed that combined with hypertension， combined with diabetes mellitus， and intermediate or poor metabolic genotypes were independent risk factors for poor prognosis in elderly patients with ischemic stroke （ P ＜0.05）. Multiple linear regression analysis showed that serum levels of hs-CRP， IL-1β， IL-6 and TNF-α before treatment were significantly higher in patients with intermediate and poor metabolic genotypes compared to those with normal metabolic genotype （ P ＜0.05）， with a greater magnitude of increase in inflammatory cytokines observed in the patients with poor metabolic genotype. CONCLUSIONS The elderly ischemic stroke patients with CYP2C19 intermediate and poor metabolic genotypes have poor inhibition effect on platelet and higher levels of inflammatory cytokines than normal metabolic genotype； CYP2C19 gene polymorphism， and in combination with hypertension and diabetes， can be used as independent predictors of poor prognosis.

Objective: To understand the impact of childhood trauma on psychological distress among upper grade elemetary school students, and to explore the mediating role of leisure activities in the relationship, so as to provide a basis for developing mental health intervention strategies. Methods: From August to November 2024, a combination of convenience sampling and stratified cluster random sampling was employed to recruit 1 373 fourth to sixth grade students from four primary schools in Harbin. The Childhood Trauma Questionnaire(CTQ), a self designed leisure activity scale (including active and passive leisure activities), and the Kessler Psychological Distress Scale (K10) were used to assess childhood trauma experiences, leisure activities, and levels of psychological distress. Spearman correlation analysis and linear regression analysis were conducted to explore the relationships among childhood trauma, leisure types, leisure time, and psychological distress. Based on the mediation analysis framework proposed by Hayes (Model 4), the mediating role of leisure types in the relationship between childhood trauma and psychological distress was examined. Results: Totally 19.1% of the upper elemetary school students exhibited psychological distress, while 30.2% had experienced childhood trauma. During school days, 64.6% of the students were reported of having leisure time concentrated between 1 and 5 hours per day, whereas 67.4% reported leisure time exceeding 5 hours per day on weekends. After controlling for potential demographic confounders such as gender, grade, ethnicity, household registration, being an only child, parents educational level, co residence, and whether parents are first time married,linear regression analysis showed that childhood trauma experience had positive predictive effect on psychological distress in upper primary school students( β =0.20, P <0.01). Leisure time showed no statistically significant association with psychological distress, both on school days ( β =-0.58 to -0.56) and weekends ( β =0.26- 0.98 )(all P >0.05). Active leisure activities were negatively associated with psychological distress ( β =-0.20), while passive leisure activities were positively associated with psychological distress ( β =0.29)(both P <0.01). Leisure type partially mediated the relationship between childhood trauma and psychological distress, accounting for 11.7% of the indirect effect. Conclusion Childhood trauma experiences positively predict psychological distress in upper elementary school students, and affect psychological distress through active leisure and passive leisure.

Background and aims The mechanism of cholestatic liver injury (CLI) is unclear, and effective therapies are lacking. While peroxisome proliferator-activated receptor alpha (PPARα) agonists show potential hepatoprotective effect and pyroptosis is implicated in hepatocellular damage, how PPARα activation mitigates lithocholic acid (LCA)-induced pyroptosis remains unknown. Methods The hepatoprotective effect of PPARα agonists was evaluated in a mouse model of intrahepatic cholestasis induced by LCA. Liver injury was assessed via serum biochemistry, hematoxylin and eosin and TUNEL staining, and electron microscopy. Pyroptosis pathways were analyzed using real-time quantitative polymerase chain reaction, Western blot, and co-immunoprecipitation. Results Combined morphological, histopathological, and biochemical analyses confirmed that PPARα activation protects against CLI. Compared with LCA treatment alone, PPARα activation significantly attenuated the elevation of serum lactate dehydrogenase (LDH), the increased TUNEL-positive cells, and the formation of hepatocyte membrane pores. Mechanistically, PPARα activation suppressed both NOD-like receptor protein 3 (NLRP3) inflammasome-mediated pyroptosis and apoptosis protease-activating factor-1 (APAF-1)/CASPASE-3/GSDME-mediated pyroptosis. Furthermore, PPARα agonist pretreatment inhibited activation of the nuclear factor-kappa B (NF-κB) and forkhead box O1 (FOXO1) signaling pathways. Conclusions PPARα protects against LCA-induced CLI by inhibiting both NLRP3 inflammasome-mediated pyroptosis associated with NF-κB and APAF-1/CASPASE-3/GSDME-mediated pyroptosis associated with the FOXO1 signaling pathway.

OBJECTIVE To establish standards for the rational use of Compound amino acid injection （14AA-SF） （hereinafter referred to as “14AA-SF”）， and evaluate its rationality and cost-effectiveness.METHODS The standards for the rational use of 14AA-SF were established based on the Delphi method. Archived medical records of patients who used 14AA-SF in the Dept. of Neurosurgery of People’s Hospital of Bozhou from January 2024 to December 2025 were randomly selected. On the basis of the established standards for the rational use， the attribute hierarchical model was applied to evaluate the use rationality of 14AA-SF in the included medical records. The decision tree model was applied to calculate the incremental cost-effectiveness ratio （ICER）， so as to evaluate the cost-effectiveness of 14AA-SF administered via single-bottle infusion versus “all-in-one” infusion， and the robustness of the cost-effectiveness evaluation results was verified through sensitivity analysis.RESULTS A total of 205 medical records were collected， among which 163 records （79.51%） were qualified with medical record score （MRS） ≥90， and 42 records （20.49%） were unqualified with MRS ＜90. The main irrational types of 14AA-SF use included unreasonable infusion method （67 case-times， accounting for 32.68%）， unreasonable amino acid dosage （62 case-times， accounting for 30.24%） and unreasonable non-protein calorie-nitrogen ratio （55 case-times， accounting for 26.83%）. Compared wtih single-bottle infusion， the incremental cost of “all-in-one” infusion for each 1% increase in effective rate was 165.40 yuan. The one-way sensitivity analysis showed that the effective rate of single-bottle infusion had the greatest impact on ICER. The probabilistic sensitivity analysis showed that under the willingness-to-pay （WTP） threshold （89 358 yuan） set in this study， the cost-effectiveness probability of “all-in-one” infusion relative to single-bottle infusion was 89.9%. When the WTP threshold exceeds 17 871.60 yuan， the “all-in-one” infusion is more cost-effective than the single-bottle infusion.CONCLUSIONS The established standards for the rational use of 14AA-SF are practical and feasible. There are phenomena of irrational use of 14AA-SF in Dept. of Neurosurgery of the hospital in terms of indications， nutritional risk screening， infusion methods and other aspects， which need to be further standardized. The “all-in-one” infusion is more cost-effective than the single-bottle infusion.

AIM To investigate the repair effects of tauroursodeoxycholic acid(TUDCA)combined with bone marrow mesenchymal stem cells(BMSCs)transplantation on spinal cord injury(SCI)in rats.METHODS The rats were randomly divided into the sham operation group,the model group,the TUDCA group,the BMSCs transplantation group and the combination therapy of TUDCA and BMSCs transplantation group,with the SCI rat model established by Allen's method.The next day after modeling,the rats of TUDCA and combination therapy groups were given 200 mg/kg TUDCA by gavage.On the 3rd day after modeling,rats in BMSCs transplantation group and combination therapy group were injected with 1 mL tuned bone marrow BMSCs(the 3rd generation,1× 106/mL)via tail vein.Rats in the sham operation group and the model group were given gastric perfusion of normal saline and injection of 1 mL PBS through tail vein.On the 3rd,7th and 14th day after modeling,the rats had their motor function of hind limbs observed and BBB score determined.After the corresponding drug administration,the rats had their movement track of hind limbs recorded by footprint experiment;their the protein expressions of IL-6,IL-10,Arg-1,PI3K and Akt in spinal cord tissue detected by Western blot;their pathological changes of spinal cord tissue observed by HE staining and Nissl staining;and their expressions of MAP2,GAP43 and GFAP detected by immunofluorescence staining.RESULTS Compared with the model group,the groups intervened with TUDCA,or BMSCs transplantation,or combination therapy shared improved hind limb function and spinal cord histomorphology(P＜0.05);increased fluorescence intensity of MAP2 and GAP43,and protein expressions of IL-10,Arg-1,p-PI3K and p-Akt(P＜0.05);decreased fluorescence intensity of GFAP and IL-6 protein expressions(P＜0.05);among which the combination therapy group took the lead(P＜0.05).CONCLUSION The combination therapy of TUDCA and BMSCs transplantation may restore the function of the rat model of SCI by reducing inflammatory reaction,alleviating secondary injury,and promoting axon and myelin regeneration via PI3K/Akt signaling pathway.

Objectives:The aim is to analyze the cost structure and coefficient of variation for hospitalized patients with malnutrition based on Diagnosis-Related Groups(DRG),providing a reference for the further application and promotion of DRG.Method:Data were collected from patients admitted to Ningxia Hui Autonomous Region People's Hospital between March 2023 and August 2023.A diagnostic system based on artificial intelligence was used to identify malnourished patients.The composition of hospitalization costs for these individuals was described and analyzed,as was the coefficient of variation for various costs within DRG groupings.A multivariate regression analysis was conducted to identify the factors that influence patient hospitalization costs.Results:The average age of hospitalized patients with malnutrition was(68.12±16.43)years,with an average length of stay of(14.55±8.47)days,with an average hospitalization cost of(32 128.89±35 345.61)yuan.Among patients within the same DRG group,the coefficient of variation for various costs was found to be lower in the malnutrition group than in the normal group.This suggests that when assessed individually,the malnutrition group exhibited a higher degree of homogeneity in their cost structures.The factors influencing total hospitalization costs were found to be:length of hospital stay(P=0.001),nutritional monitoring fees(P=0.020),number of chronic diseases(P=0.003),and Karnofsky Performance Status(KPS)score(P=0.038).Hospitalization costs were positively correlated with both length of stay and nutritional assessment fees,but negatively correlated with the number of chronic diseases and KPS scores.Conclusions:Malnutrition has a profound impact on health outcomes,medical expenses,length of hospital stay,and disease severity.The implementation of the DRG system aims to standardize and improve the nutritional diagnosis and treatment process by categorizing different stages of malnutrition.This approach can minimize variations within DRG groups,making it easier to allocate medical resources more precisely and efficiently.Furthermore,it is a valuable reference tool for promoting DRG payment reform in different regions.

The rapid and non-destructive detection of constituent content of fresh tea leaves shows an important reference value for quality identification of tea.Visible near infrared(Vis-NIR)spectroscopy has been used for qualitative and quantitative analysis of chemical components in plant samples with the advantages such as simple,rapid and non-destructive detection.In this study,residual attention convolutional neural network(RACNN)was used to predict the internal constituent content of fresh tea leaves.Firstly,the reflectance spectral data of the samples in the Vis-NIR band range and the constituent contents of gallic acid(GA),gallocatechin(GC),epigallocatechin(EGC),and epigallocatechin gallate(ECG)in fresh tea leaves were collected.Based on the preprocessing of the spectral data,the contents of the four components were predicted using a partial least squares regression(PLSR)model,and the optimal preprocessing was determined.Subsequently,the characteristic bands were extracted using the random forest(RF)algorithm.Finally,the performances of PLSR,convolutional neural network(CNN)and RACNN models were compared.The results showed that for GA,the RACNN model worked best with a validation set coefficient of determination(R2)of 0.946 and a root mean square error of the prediction set(RMSEP)of 1.173;for GC,the RACNN model works best with a validation set R2 of 0.928 and RMSEP of 6.081;for EGC,the RACNN model works best with a validation set R2 of 0.891 and a RMSEP of 15.197;for ECG,the RACNN model worked best with a validation set R2 of 0.878 and a RMSEP of 7.837.The RACNN model established by Vis-NIR spectroscopy combined with chemometrics could realize the accurate detection of the contents of components in fresh tea.

A method for determination and targeted screening of diflorasone components in health products using ultra performance liquid chromatography-quadrupole time of flight mass spectrometry(UPLC-Q-TOF/MS)was established.Four representative diflorasone and esters(diflorasone,diflorasone diacetate,diflorasone-17-propionate,and diflorasone-21-propionate)were selected to optimize the pretreatment conditions,and 10 mL of extraction solvent dosage,15 min of extraction time and 5 g of salting-out agent as the optimal conditions were selected by response surface methodology.The results showed that the four analytes exhibited good linearity within the concentration range of 2.0?100 μg/L with the chromatographic peak area,and the correlation coefficients(R2)were all greater than 0.9990,while the results of recovery and relative standard deviation could satisfy the requirements of determination.The common characteristic ions of diflorasone and esters werem/z121 andm/z335,and their specific structures were obtained by analyzing the cleavage pathway based on the optimized determination conditions.A targeted screening method for other esters of diflorasone based on characteristic ions guidance strategy was established.This method had many advantages such as high efficiency,high sensitivity and good reproducibility,and could be used for targeted screening of diflorasone and esters in health products.The developed characteristic ion guided strategy could be employed to construct mass spectral databases for various glucocorticoids,enabling comprehensive targeted screening across a broad range of compounds.

Objective To explore the relationship between platelet-to-leukocyte ratio(PLR)and neutro-phil-to-lymphocyte ratio(NLR)and fibrinogen(Fib)levels in the peripheral blood of stroke patients and deep vein thrombosis(DVT)of the lower limbs,as well as their predictive value for wether DVT occurred in stroke patients.Methods A total of 106 stroke patients admitted to the hospital from January 1,2022 to January 30,2024 were retrospectively selected as the research subjects.According to the occurrence of DVT in the pa-tients,they were divided into the DVT group(n=38)and the non-DVT group(n=68),and the levels of PLR,NLR and Fib in the two groups were compared.Multivariate Logistic regression was used to analyze the influencing factors of DVT in stroke patients,and the receiver operating characteristic(ROC)curve was used to analyze the predictive value of PLR,NLR and Fib for DVT in stroke patients.Results The proportions of patients in the DVT group with NIHSS score＞14 points,GCS score＞8 points,and dehydrating drug use time＞5 days were higher than those in the non-DVT group(P＜0.05),and the levels of PLR,NLR and Fib were higher than those in the non-DVT group(P＜0.05).The results of Logistic regression analysis showed that the upregulation of PLR,NLR and Fib levels were all risk factors for DVT in stroke patients(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of the combined prediction of DVT in stroke patients by PLR,NLR and Fib was 0.890,with a sensitivity of 81.62％and a specificity of 88.78％.The com-bined detection AUC was higher than that predicted separately by PLR,NLR and Fib(Z=2.768,3.424,3.657,all P＜0.05).Conclusion Peripheral blood PLR,NLR and Fib levels are closely related to the occur-rence of DVT in stroke patients.]The combined application of PLR,NLR and Fib has a high predictive value in the occurrence of DVT in stroke patients and can be used as an effective biomarker to predict DVT occur-rence.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.