ObjectiveTo investigate the change in the activity of hepatitis B virus （HBV）-specific CD8⁺ T cells after pegylated interferon-α-2b （PEG-IFN-α-2b） therapy in HBeAg-negative patients with chronic HBV infection. MethodsA total of 53 HBeAg-negative patients with chronic HBV infection who attended The First Affiliated Hospital of Xinxiang Medical University and Tangdu Hospital of Air Force Mdical University from April 2020 to June 2022 were enrolled and treated with PEG-IFN-α-2b （180 μg/week， subcutaneous injection） antiviral therapy. The study endpoint was HBsAg clearance （course of treatment<48 weeks） or 48 weeks （course of treatment≥48 weeks）. Peripheral blood mononuclear cells were isolated at baseline and study endpoint， and peripheral blood T cell counts were measured. Enzyme-linked immunospot assay was used to measure the frequency of HBV-specific CD8⁺ T cells secreting perforin， granzyme B， and interferon-γ. A total of 17 HLA-A^*02-restricted patients were selected， and CD8⁺ T cells were purified to establish direct- and indirect-contact co-culture systems for HBV-specific CD8⁺ T cells and HepG2.2.15 cells. The level of lactate dehydrogenase in supernatant was measured to calculate the mortality rate of HepG2.2.15 cells， and the levels of HBV DNA， cytotoxic molecules， and cytokines in supernatant were also measured. Flow cytometry was used to measure the expression of apoptosis ligands， and the cytotoxicity of HBV-specific CD8⁺ T cells was evaluated. The independent samples t-test or the paired t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test or the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups. ResultsThe HBsAg clearance rate at study endpoint was 30.19% （16/53）. There were no significant differences in peripheral blood T cell counts （CD3⁺， CD4⁺， and CD8⁺ T cells） between baseline and study endpoint （P>0.05）. At study endpoint， there was a significant increase in the frequency of HBV-specific CD8⁺ T cells secreting perforin， granzyme B， and interferon-γ （U=177.50， t=11.90， U=186.50， all P<0.001）， and the patients with HBsAg clearance had a significantly higher frequency of such HBV-specific CD8⁺ T cells than those without HBsAg clearance （U=120.50， t=2.73， U=121.50， all P<0.01）. In the direct- and indirect-contact co-culture systems at study endpoint， HBV-specific CD8⁺ T cells induced a significant reduction in HBV DNA in the supernatant of HepG2.2.15 cells （all P<0.001） and significant increases in the secretion of interferon-γ and tumor necrosis factor-α （all P<0.05）； in the direct-contact co-culture system， HBV-specific CD8⁺ T cells induced significant increases in the mortality rate of HepG2.2.15 cells （13.62%±3.27% vs 11.39%±2.40%， t=2.27， P=0.030） and the secretion of perforin and granzyme B （t=72.50， U=52.50， both P<0.05）. In the direct- and indirect-contact co-culture systems， compared with HBV-specific CD8⁺ T cells from the patients without HBsAg clearance， the HBV-specific CD8⁺ T cells from patients with HBsAg clearance had a significantly greater reduction in HBV DNA （P<0.05） and significant increases in the secretion of interferon-γ and tumor necrosis factor-α （P<0.05）. ConclusionPEG-IFN-‍α‍-2b therapy can help to achieve a relatively high HBsAg clearance rate in HBeAg-negative patients with chronic HBV infection， and the activity of HBV-specific CD8⁺ T cells is significantly enhanced， which is closely associated with HBsAg clearance.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

Objective Given the extensive application of machine learning(ML)in medical models and its remarkable learning and generalization capabilities,this study employed automated ML(AutoML)combined with patient demographics and clinical conditions to early assess the risk of failure in bowel preparation prior to colonoscopy.Methods A retrospective analysis was conducted on patients who underwent colonoscopy examinations in Hospital 1 and Hospital 2 from January 2022 to January 2023,and their general and clinical information was collected.According to the Boston bowel preparation scale(BBPS),a BBPS of≤5 was defined as a failure in bowel preparation,>5 was deemed satisfactory.From the data of the two hospitals,we randomly divided the dataset into a training set(n=303)and a validation set(n=76)at an 8∶2 ratio.Least absolute shrinkage and selection operator(LASSO)logistic regression(LR)model was used for feature selection,a nomogram scoring system was constructed,and models were established using AutoML based on five algorithms.Model performance was evaluated through receiver operator characteristic curve(ROC curve),calibration curves,LR-based decision curve analysis(DCA),SHAP plots,and force plots.Results Among the 379 patients,105 cases(27.7%)experienced bowel preparation failure(BBPS≤5).21 study variables were narrowed down to 10 through LASSO with 5-fold cross-validation,resulting in the development of a Nomogram chart with demonstrated reliability via calibration curves.Using the H2O platform and five algorithms[gradient boosting machine(GBM),deep learning(DL),generalized linear model(GLM),Stacked Ensemble and distributed random forest(DRF)],67 models were developed.Stacked Ensemble outperformed the others with an area under the curve(AUC)of 0.871,LogLoss of 0.403,and RMSE of 0.354,surpassing traditional LR model and other models.Variable importance contribution plots indicated significant predictive influences from factors such as the interval between laxative ingestion and examination,history of constipation,completion of laxative regimen,age,and presence of a companion during the procedure.Finally,SHAP plots and force plots revealed variable distribution patterns in binary classification predictions and the impact of variables on predictive outcomes.Conclusion The AutoML model based on the Stacked Ensemble algorithm exhibits clear clinical utility in early prediction of bowel preparation failure risk.Moreover,a clinically applicable column chart scoring tool is constructed.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

Purpose: This study aimed to evaluate changes in ultrafast pulse wave velocity (ufPWV) in individuals with arterial stiffness and subclinical atherosclerosis (subAS), and to provide cutoff values. Methods: This retrospective study recruited 231 participants, including 67 patients with subAS. The pulse wave velocity was measured at the beginning and end of systole (PWV-BS and PWVES, respectively) using ultrafast ultrasonography to assess arterial stiffness. The right and left common carotid arteries were measured separately, and laboratory metabolic parameters were also collected. Participants were balanced between groups using propensity score matching (PSM) at a 1:1 ratio, adjusting for age, sex, and waist-to-hip ratio as potential confounders. Cutoff values of ufPWV for monitoring subAS were determined via receiver operating characteristic (ROC) curve analysis. Results: PWV-ES, unlike PWV-BS, was higher in the subAS subgroup than in the subAS-free group after PSM (all P<0.05). For each 1 m/s increase in left, right, and bilateral mean PWV-ES, the risk of subAS increased by 23% (95% confidence interval [CI], 1.04 to 1.46), 26% (95% CI, 1.07 to 1.52), and 38% (95% CI, 1.12 to 1.72), respectively. According to ROC analyses, predictive potential was found for left PWV-ES (cutoff value=7.910 m/s, P=0.002), right PWV-ES (cutoff value=6.615 m/s, P=0.003), and bilateral mean PWV-ES (cutoff value=7.415 m/s, P<0.001), but not for PWV-BS (all P>0.05). Conclusion PWV-ES measured using ultrafast ultrasonography was significantly higher in individuals with subAS than in those without. Specific PWV-ES cutoff values showed potential for predicting an increased risk of subAS.

This article analyzed the clinical data and on-site occupational health survey results of a patient with occupational acute methyl acetate poisoning in Zhejiang. Based on the pathways of methyl acetate poisoning and the characteristics of target organ damage, diagnosis and treatment experience were summarized, providing reference for the diagnosis and treatment of occupational acute methyl acetate poisoning and occupational health monitoring of methyl acetate.

Objective: Schizophrenia (SCZ) is a severe psychiatric disorder with unknown etiology and lacking specific biomarkers. Herein, we aimed to explore plasma biomarkers relevant to SCZ using targeted metabolomics. Methods: Sixty drug-naïve SCZ patients and 36 healthy controls were recruited. Psychotic symptoms were assessed using the Positive and Negative Syndrome Scale. We analyzed the levels of 271 metabolites in plasma samples from all subjects using targeted metabolomics, and identified metabolites that differed significantly between the two groups. Then we evaluated the diagnostic power of the metabolites based on receiver operating characteristic curves, and explored metabolites associated with the psychotic symptoms in SCZ patients. Results: Twenty-six metabolites showed significant differences between SCZ patients and healthy controls. Among them, 12 metabolites were phosphatidylcholines and cortisol, ceramide (d18:1/22:0), acetylcarnitine, and γ-aminobutyric acid, which could significantly distinguish SCZ from healthy controls with the area under the curve (AUC) above 0.7. Further, a panel consisting of the above 4 metabolites had an excellent performance with an AUC of 0.867. In SCZ patients, phosphatidylcholines were positively related with positive symptoms, and cholic acid was positively associated with negative symptoms. Conclusion Our study provides insights into the metabolite alterations associated with SCZ and potential biomarkers for its diagnosis and symptom severity assessment.

Objective:To summarize the application and effect of "Trinity" emergency chain in the management of patients with epidemic respiratory tract infection under the cooperation of multiple hospitals and districts, and to provide a reference for medical institutions to improve the risk response ability.Methods:Based on the collaborative management of multi-branches, the "Trinity" emergency chain of pre-hospital-emergency-critical care, identification-triage-treatment, expansion-training-dispatch was implemented to optimize and integrate medical resources.Results:During the two months, 43,000 patients were admitted to the fever clinic, with an increase of 36.08%. The average waiting time for treatment was 19.83 min, and the average admission time to ICU was 25.35 min.Conclusions:The "Trinity" emergency chain treatment scheme under the coordination of multi-branches can effectively deal with the public health events of respiratory tract infectious diseases, improve the efficiency of rescue and treatment, and enhance the risk response ability of medical institutions.