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.

A growing body of research points out that gut microbiota plays a key role in tumor immunotherapy. By optimizing the composition of intestinal microbiota, it is possible to effectively improve immunotherapy resistance and enhance its therapeutic effect. This article comprehensively analyzes the mechanism of intestinal microbiota influencing tumor immunotherapy resistance, expounds the current strategies for targeted regulation of intestinal microbiota, such as traditional Chinese medicine and plant components, fecal microbiota transplantation, probiotics, prebiotics and dietary therapy, and explores the potential mechanisms of these strategies to improve patients' resistance to tumor immunotherapy. At the same time, the article also briefly discusses the prospects and challenges of targeting intestinal microbiota to improve tumor immunotherapy resistance, which provides a reference for related research to help the strategy research of reversing tumor immunotherapy resistance.

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.

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.

Objective:To explore the challenges in the implementation of drug centralized volume-based procurement policies in hospitals and propose corresponding optimization suggestions.Methods:From August to December 2023, a purposive sampling was conducted to select 11 pharmaceutical experts from tertiary hospitals in China for Delphi method. The survey content included " policy recommendations for promoting the acceleration and expansion of national drug centralized procurement and retaining surplus medical insurance funds for centralized procurement" .Results:Survey participants gave feedback on a set of existing problems found in the implementation of drug centralized procurement policies and proposed corresponding optimization methods. Kendall′s W coefficient of the specialist consultation was 0.332( P<0.05), demonstrating good consistency and concentration of the expert opinions. Among the problems, the score of drug supply guarantee was the highest(mean value of importance was 4.45). At the same time, the recommendation of strengthening monitoring and early warning, coordination and dispatch, and effectively ensuring the supply of centralized drug procurement had the highest score and concentration(mean value of importance was 4.91, coefficient of variation was 0.06). Conclusions:Through Delphi method, this study revealed issues and optimization methods in the implementation of drug centralized procurement policies in hospitals. The findings could provide valuable insights for improvements in the pharmaceutical sector and future policy adjustments.

Objective:This study aimed to evaluate the efficacy and safety of venetoclax (VEN) combined with hypomethylating agents (HMA) in the treatment of higher-risk myelodysplastic syndromes (HR-MDS) and analyze the factors influencing their therapeutic effect.Methods:The clinical data of 83 patients with HR-MDS who were diagnosed at the First Affiliated Hospital of Zhengzhou University between November 2019 and May 2023 were retrospectively analyzed. All patients were treated with VEN combined with HMA. The Kaplan-Meier method was used to depict the survival curves, and the log-rank test was used to compare survival between the groups.Results:The median age was 57 (15-82) years old, and 51 patients (61.4%) were male. Forty-five patients (54.2%) were initially treated with HMA, 23 (27.7%) received ≤4 cycles of HMA, and 15 (18.1%) demonstrated HMA failure. At the median follow-up of 10.3 (0.6-34.4) months, the overall response rate (ORR) was 62.7% (52/83), including 18 patients (21.7%) with a complete response (CR), 14 (16.9%) with a bone marrow CR (mCR) with hematological improvement, and 20 (24.1%) with a mCR. The ORR of patients with initial treatment, ≤4 HMA cycles, and HMA failure were 66.7%, 60.9%, and 53.3%, respectively ( P=0.641). The median overall survival time was 14.6 (95% CI 7.2-22.0) months, and the median progression-free survival time was 8.9 (95% CI 6.7-11.1) months. The multivariate analysis showed that serum alkaline phosphatase (ALP) ≥90 U/L (OR=14.574, 95% CI 3.036-69.951, P=0.001), TP53 mutation ( OR=13.052, 95% CI 1.982-85.932, P=0.008), and U2AF1 mutation ( OR=7.720, 95% CI 1.540-38.698, P=0.013) were independent risk factors for poor efficacy of VEN combined with HMA. Hematological toxicity occurred in all patients, and the incidence of treatment-induced grade 3-4 leukopenia was 48.2% (40/83). Infection was the most common non-hematological adverse event, mainly pulmonary infection (31.3%) . Conclusion:VEN combined with HMA had a high response rate in patients with HR-MDS, both at initial treatment and with HMA failure. ALP ≥ 90 U/L, TP53 mutation, and U2AF1 mutation were independent risk factors for non-response to treatment.

Objective To retrospectively analyze of factors influencing early preterm birth(EPB)and late preterm birth(LPB)in pregnancy women with placenta previa complicated by placenta accreta spectrum disorders(PAS),and assess maternal and infant outcomes.Methods We included 590 cases of pregnancy women with placenta previa complicated by PAS who underwent cesarean sections at five hospitals in Wuhan and Xianning cities between January 2018 and June 2021.These patients were divided into three groups based on delivery gesta-tional age:EPB,LPB,and term birth(TB).A multiple logistic regression model was employed to analyze the risk factors associated with EPB and LPB.Additionally,differences in early maternal and infant outcomes among these groups were examined.Results Among 590 pregnancy women with placenta previa complicated by PAS,the proportions of EPB and LPB were 9.7%and 54.4%.The use of uterine contraction inhibitors prior to cesarean section,vaginal bleeding,and previous cesarean sections history were identified as risk factors for both EPB and LPB.The proportion of severe postpartum hemorrhage was comparable between the EPB group and the LPB group;however,the incidence of neonatal asphyxia,low birth weight infants,and the rate of newborns transferred to the Neonatal Intensive Care Unit(NICU)within 24 hours after cesarean delivery were significantly higher in the EPB group compared to the LPB group.Conclusions Placenta previa complicated by PAS predominantly leads to LPB.The history of prior cesarean sections,uterine contractions,and vaginal bleeding prior to cesarean section,are sig-nificantly associated with both EPB and LPB.During the perinatal period,efforts should be made to extend gesta-tional weeks under close monitoring to minimize the incidence of premature births and thereby improve early mater-nal and infant outcomes.

The construction of a medication safety culture is important for medication safety management and rational drug use.The construction of medication safety culture standards is formulated based on relevant national policies and regulations,accreditation standards for hospitals,expert opinions,the current situation,and the development trend of the healthcare industry.With scientificity,general applicability,instructive guidance,and practicality,they standardized basic requirements,management processes,and improvement of the construction of medication safety culture.To facilitate understanding and the implementation of the standards,we describe the process of standards formulation and explain the key points of the standards.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To explore the evidence,urinary biomarkers,and partial mechanisms of hypercoagulability in the pathogenesis of IgA vasculitis(IgAV).Methods Differential expression of proteins in the urine of 10 healthy children and 10 children with IgAV was screened using high-performance liquid chromatography-tandem mass spectrometry,followed by Reactome pathway analysis.Protein-protein interaction(PPI)network analysis was conducted using STRING and Cytoscape software.In the validation cohort,15 healthy children and 25 children with IgAV were included,and the expression levels of differential urinary proteins were verified using enzyme-linked immunosorbent assay.Results A total of 772 differential proteins were identified between the IgAV group and the control group,with 768 upregulated and 4 downregulated.Reactome pathway enrichment results showed that neutrophil degranulation,platelet activation,and hemostasis pathways were involved in the pathogenesis of IgAV.Among the differential proteins,macrophage migration inhibitory factor(MIF)played a significant role in neutrophil degranulation and hemostasis,while thrombin was a key protein in platelet activation and hemostasis pathways.PPI analysis indicated that thrombin directly interacted with several proteins involved in inflammatory responses,and these interactions involved MIF.Validation results showed that compared to healthy children,children with IgAV had significantly higher urine thrombin/creatinine and urine MIF/creatinine levels(P<0.05).Conclusions Thrombin contributes to the pathogenesis of IgAV through interactions with inflammatory factors.Urinary thrombin and MIF can serve as biomarkers reflecting the hypercoagulable and inflammatory states in children with IgAV.