Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Radiotherapy can cause functional and morphological changes in the brain tissues of patients with primary or metastatic malignant brain tumors, leading to radiation-induced brain injury. However, the pathogenesis of radiation-induced brain injury has not yet been unanimously determined, and its research advances and treatment protocols are yet to be elucidated and improved. In this study, we explore the pathogenesis of radiation-induced brain injury from the perspective of vascular injury, inflammatory reactions, neuronal dysfunction, glial cell injury, and gut microbiota and reviewed the advances in research on its treatment and prevention. The purpose is to provide a reference and theoretical basis for the research and clinical diagnosis and treatment of radiation-induced brain injury.

Objective The management of high-value medical consumables is a key challenge for healthcare institutions,yet medical record quality control(MRQC)is rarely applied in this area.This study aims to explore the role of MRQC in the management of high-value medical consumables.Methods A joint inspection team for MRQC was formed.Using the"High-Value Consumable Use Informed Consent Checklist,""High-Value Consumable Medical Record Sampling Statistics Table,""Surgical Operation Record Inspection Detail Table,"and"High-Value Medical Consumable Usage List Barcode Inspection Table,"we conducted random checks on the medical records of the top ten departments with high usage of these consumables.The main focus was on the informed consent forms,surgical operation records,barcode labeling of usage lists,and expense lists related to high-value medical consumables.We analyzed the consistency and compliance of registration information,informed consent forms,surgical records,and barcode labels,calculated defect rates for each indicator,identified causes of defects,and implemented quality improvements,including refining regulations and enhancing training;conducting reviews of high-value con-sumable medical records;initiating secondary management of high-value consumables;strengthening supervision;and establis-hing a long-term mechanism.Results Before improvements,the defect rates for informed consent forms,surgical records,and barcode labels were 13.3％,27.9％,and 42.7％,respectively.After improvements,these rates dropped to 1.4％,2.2％,and 1.6％.Comparisons of the three indicators before and after showed significant differences(P＜0.01).Conclusion The appli-cation of MRQC in managing high-value medical consumables is essential.Through medical record checks,we can achieve the"five checks and five correspondences"regarding the registration information of high-value medical consumables,informed con-sent forms,written records in surgical operation records,barcode labeling of usage lists,and expense lists.The key to successful implementation is thorough preparation before inspections,interdepartmental collaboration,problem-oriented self-assessment,strict discipline,and continuous improvement.

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 and evaluate the micro-elimination mode of hepatitis C virus(HCV)in patients in a general hospital in Jiangxi Province,and provide reference for formulating provincial strategies to eliminate the public health hazards of HCV.Methods Relevant data of hospitalized patients who received HCV screening at the hospital from January 2021 to December 2022 were collected.Data from 2021 were set as the baseline and data from 2022 as the HCV micro-elimination mode operating data.Indexes such as gender,age,department,anti-HCV posi-tive rate,HCV-RNA positive rate,etc.were analyzed.The operational effect was analyzed based on specialty de-partment visiting rate,treatment rate,and loss-to-follow-up(LTFU)rate.The development of the mode was quan-titatively evaluated by superiority weakness opportunity threats-analytic hierarchy process(SWOT-AHP)method.Results A total of 397 744 hospitalized patients underwent anti-HCV screening from 2021 to 2022,with a male to female ratio of 1.34∶1 and an average age of 54 years old.The main departments for patients receiving screening were infectious diseases/gastroenterology departments.HCV gene subtypes in specimens from 62 patients was mainly subtype 1b(43 specimens),followed by subtype 6(9 specimens).The first HCV early warning rate after mode operation was 81.20％,the anti-HCV detection rate after warning was 93.15％,and the anti-HCV detection rate after subsequent pop-up window early warning was 100％.Compared with 2021,the treatment rate of HCV hospi-talized patients in 2022 has increased,with statistically significant difference(P＜0.05).However,there were no statistically significant differences in patients'specialty department visiting rate and LTFU rate(both P＞0.05).Barycentric coordinates calculation P(X,Y)=(0.018 2,0.006 9)located in the first quadrant.Conclusion The HCV micro-elimination mode for patients in a general hospital in Jiangxi Province is feasible and effective.Further mode optimization should focus on strengths/opportunities(SO)strategy,to rely on internal advantages and utilize external opportunities.

This study aimed to determine the drug resistance phenotype and genetic characteristics of Listeria monocytogenes ST5 LK100 isolated from a neonate,which provided a basis for the diagnosis and treatment of L.monocyto-genes infection and to enhance the understanding of the genomic characteristics of this strain.A suspected L.monocytogenes strain was isolated from the gastric juice sample of an infected neonate,and identified with a VITEK2 Compact automatic mi-crobial identification instrument and 16S RNA sequencing.Five drug sensitivity tests were conducted on the identified strain with the E-test method.Additionally,the whole genome of the strain was sequenced using a third-generation sequencing plat-form.The antibiotic resistance elements of the strain were identified by BlastN with the CARD antibiotic resistance gene data-base.The multilocus sequence typing(MLST),serotyping,and virulence genes of the strain was determined by Pasteur da-tabase,the virulence gene distribution was analyzed using the virulence analysis website.The prophages of the strain were predicted and annotate by PHASTER online website.The strain(LK100)isolated from the neonate was identified as L.monocytogenes.This strain was sensitive to penicillin,ampicil-lin,meropenem,erythromycin,and trimethoprim-sulfame-thoxazole antibiotics.The MLST type and serotype was ST5 and 1/2b-3b,respectively.The total length of the chromoso-mal genome of LK100 was 3 032 582 bp with a GC content of 37.91％,and it contained a complete circular plasmid with a se-quence length of 52 822 bp.The strain LK100 carried complete InlA protein,LIPI-1 pathogenicity island,SSI-1 stress survival island,and an LGI2 genomic island.The intrinsic antibiotic resistance genes were mainly located on the chromosome.Five prophage sequences were predicted in the LK100 genome.This study identified a strain of ST5 L.monocytogenes LK100 from an infected neonate and characterized its genome and antibiotic sensitivity,laying the foundation for further research on ST5 L.monocytogenes.

Objectives To explore the effect and mechanism of saikosaponin D on cellular autophagy of ICCs by regulating the CaMKKβ/AMPK signaling pathway.Methods Rat primary ICCs cells were isolated and stimulated with glutamate to construct an autophagy model.The Ca2+level was detected by immunofluorescence.Primary ICCs cells were divided into control group,model group,model+saikosaponin D group,model+CaMKKβ inhibitor group,and model+saikosaponin D+CaMKKβ inhibitor group.The ultrastructure of autophagosomes was observed by transmission electron microscopy.The levels of Ghrelin and SP were detected by ELISA.The expressions of Ca2+and LC-3Ⅱ were detected by immunofluorescence.The protein expression levels of LC-3Ⅱ/Ⅰ、CaMKKβ,p-AMPK,Drp1,MFN2,IP3R and RyR were detected by Western blot.Results The fluorescence expression of LC-3Ⅱ was enhanced.Saikosaponin D reduced the levels of CaMKKβ,AMPK and MFN2(P<0.01),and increased the levels of LC-3Ⅱ/Ⅰ、IP3R,RyR,Drp1,Ghrelin and SP(P<0.01).The effect of Saikosaponin D combined with CaMKKβ inhibitor STO-609 was more significant.Conclusion Saikosaponin D can mediate Ca2+outflow through the CaMKKβ/AMPK signaling pathway,and affect the expression of excessive autophagy and gastrointestinal motility-related factors in ICCs cells.

Background: In the Chinese coal industry, widespread blame avoidance behavior (BAB) greatly impacts coal mine accidents. Therefore, it is necessary to stop the BAB of coal mine managers and raise the management level of coal mine enterprises for the safe development of Chinese coal industry. Methods: Based on the semi-structured interviews and questionnaire surveys (20 middle-level managers in coal mines), this paper used the Grounded Theory and Nvivo Software qualitative research methodology to open, spindle, and selectively encode the interview data. Then, an index system of factors influencing BAB of coal mine managers was constructed. The influence degree, affected degree, centrality degree, cause degree of each influencing factor were calculated and the hierarchical model of influencing factors of BAB of coal mine managers was established by the DEMATEL-ISM method which is a decision support tool used to evaluate and analyze the interdependencies between influencing factors. Results: Index system of factors influencing BAB of coal mine managers included four levels and 12 influencing factors: individual, organizational, institutional environmental, and situational factors. The hierarchical model identified eight causal factors and four consequential factors, of which safety management (15.355), work attitude (14.380), and work group performance (14.281) in the top three of the centrality rankings are the key factors affecting the avoidance behavior of coal mine managers; A 3-level multilevel structure was constructed to reflect the interactions among the factors influencing the BAB of coal mine managers in terms of direct, indirect, and root causes, and corresponding improvement measures were proposed. Conclusion This study offers a theoretical complement and practical guidance for stopping BAB of coal mine managers.