Background/Aims: Natural killer (NK) cell function is generally considered dampened in chronic hepatitis B virus (HBV) infection; however, the NK cell pool exhibits phenotypic and functional heterogeneity, and the antibody--mediated effect of NK cells remains less characterized. This study evaluated the dynamic changes in antibody-mediated NK cell responses and the involvement of distinct NK subsets across disease stages and during antiviral treatment. Methods: A T-cell receptor-like antibody specific for the HBV core 18–27 peptide (cTCRL-Ab) was used to determine the antibody-mediated effect of NK cells, and an array of NK cell surface markers were analyzed in cross-sectional and longitudinal cohorts of patients with chronic HBV infection. Single-cell RNA sequencing (scRNA-seq) was performed to identify the heterogeneity of NK subsets. Results: The cTCRL-Ab enabled the detection of NK cell cytolytic activity and IFNγ production. Notably, cTCRL-Ab-mediated NK cell responses were compromised in chronically HBV-infected patients, particularly in those receiving pegylated interferon-α (Peg-IFNα), which was associated with the downregulation of CD16 expression. Correspondingly, Peg-IFNα inhibited cTCRL-Ab-mediated NK cell function by reducing CD16 expression in vitro. scRNA-seq revealed that CD16 downregulation occurred mainly within a dysfunctional CD16hi NK subset exhibiting exhaustion properties. In contrast, an activated CD16hiNK subpopulation (CX3CR1⁺KLRC2–CD16hi) with high cytotoxicity was enriched in patients who experienced favorable treatment responses. Furthermore, the intrahepatic CX3CR1+KLRC2–CD16hi subset tended to exhibit functional restoration in HBsAg-loss individuals. Conclusions Our data contribute to the understanding of antibody-mediated responses of NK cells in chronic HBV infection, and highlight a previously unappreciated functional CX3CR1+KLRC2–CD16hiNK subset as a potential therapeutic target.

OBJECTIVE To analyze the status of targeted monitoring of the health care-associated infections in in-tensive care unit(ICU)of a three-A hospital of northwest China in recent 7 years so as to provide bases for formu-lating effective prevention and control measures for the health care-associated infections.METHODS The related data were successively collected from the ICU hospitalized patients of the Second Affiliated Hospital of Air Force Medical University who were under the targeted monitoring by nosocomial infection real-time monitoring system from Jan.2017 to Dec.2023.The data included the incidence of infections,infection sites,use of catheters,inci-dence of catheter-related infections,and distribution and prevalence trend of pathogens.RESULTS A total of 49,137 hospitalized patients from five ICU wards of respiratory medicine department,neurosurgery department,neurology department,thoracic surgery department and critical care medicine department were under the monito-ring,1446(1681 case-times)of whom had health care-associated infections,with the infection rate 2.94％,the case-time infection rate 3.42％.The respiratory system was the major infection site of the patients with the health care-associated infections.Among the patients with instrument-associated infections,20.70％had ventilator-asso-ciated pneumonia(VAP),5.71％had urinary catheter-associated urinary tract infection(CAUTI),and 1.96％had catheter-related bloodstream infection(CRBSI).Totally 405 strains of non-repetitive pathogens were isolated from 477 patients with instruments-associated infections,78.77％of which were gram-negative bacteria.The iso-lation rate of multidrug-resistant organisms(MDROs)was 44.12％,and Acinetobacter baumannii was the pre-dominant species of pathogen isolated from the patients with VAP.CONCLUSIONS The targeted monitoring of health care-associated infections may facilitate the awareness of dynamic changes of the infections in a accurate and timely manner so as to provide bases for developing effective prevention and control measures for the health care-associated infection.It is necessary to strengthen the prevention and control of the infections in critical care medi-cine department,neurosurgery department as well as the lower respiratory tract infections and prevent the MDROs infection in the meantime.

An automated identification method for adolescent schizophrenia based on brain electroencephalogram(EEG)entropy features is proposed for further improving the diagnostic accuracy of adolescent schizophrenia.The raw EEG signals are decomposed into 5 commonly used rhythm bands:Delta,Theta,Alpha,Beta,and Gamma.The permutation entropy,fuzzy entropy,and sample entropy are extracted from each rhythm band and then organized into a feature matrix structured by electrode location×frequency band.Finally,an ECA-CNN model integrating efficient channel attention(ECA)and convolutional neural network(CNN)is constructed for feature classification and realizing the automated identification of adolescent schizophrenia.The results demonstrate that the proposed ECA-CNN model has higher recognition accuracy than the traditional machine learning models,achieving an accuracy of 99.08%,a sensitivity of 99.27%,a specificity of 98.85%,a precision of 99.01%,a F1 score of 99.14%,and a Kappa coefficient of 0.9814.This study provides a new idea and method for the diagnosis of adolescent schizophrenia.

Objective To investigate the association of liver radiodensity with the degree and progression of liver fibrosis in patients with chronic hepatitis B(CHB).Methods A retrospective cohort study was conducted among 114 CHB patients who were hospitalized in The First Hospital of Lanzhou University from January to December 2019,and related clinical data were collected,including laboratory tests and abdominal CT.The metabolic characteristics of the patients were assessed,and liver radiodensity was measured.An analysis of variance was used for comparison of normally distributed continuous data between three groups,and the Kruskal-Wallis H rank sum test was used for comparison of continuous data with skewed distribution between three groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between three groups.A logistic regression analysis was used to investigate the influencing factors for the degree of liver fibrosis,and the Cox proportional-hazards regression model analysis was used to investigate the influencing factors for the progression of liver fibrosis in CHB.Results Among the 114 patients enrolled,43(37.72％)had no liver cirrhosis,30(26.32％)were suspected of liver cirrhosis,and 41(35.96％)had liver cirrhosis,with a median follow-up time of 538.5(322.75-1 031.50)days.Liver radiodensity on plain scan(odds ratio[OR]=0.81,95％confidence interval[CI]:0.68-0.97,P=0.025),liver radiodensity on contrast-enhanced scan(OR=0.95,95％CI:0.90-0.99,P=0.037),and liver volume(OR=0.99,95％CI:0.98-0.99,P<0.001)were independent influencing factors for the degree of liver fibrosis.The univariate Cox regression analysis showed that the low level of HDL(hazard ratio=2.81,95％CI:1.04-7.54,P=0.041)was associated with the progression of liver fibrosis in CHB patients,and the degree of liver fibrosis,liver volume,and liver radiodensity showed no significant association with the progression of liver fibrosis(all P>0.05).Conclusion In CHB patients,liver radiodensity is an independent influencing factor for the degree of liver fibrosis,and low HDL has a marked influence on the progression of liver fibrosis.

Objective To investigate the association of liver radiodensity with the degree and progression of liver fibrosis in patients with chronic hepatitis B(CHB).Methods A retrospective cohort study was conducted among 114 CHB patients who were hospitalized in The First Hospital of Lanzhou University from January to December 2019,and related clinical data were collected,including laboratory tests and abdominal CT.The metabolic characteristics of the patients were assessed,and liver radiodensity was measured.An analysis of variance was used for comparison of normally distributed continuous data between three groups,and the Kruskal-Wallis H rank sum test was used for comparison of continuous data with skewed distribution between three groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between three groups.A logistic regression analysis was used to investigate the influencing factors for the degree of liver fibrosis,and the Cox proportional-hazards regression model analysis was used to investigate the influencing factors for the progression of liver fibrosis in CHB.Results Among the 114 patients enrolled,43(37.72％)had no liver cirrhosis,30(26.32％)were suspected of liver cirrhosis,and 41(35.96％)had liver cirrhosis,with a median follow-up time of 538.5(322.75-1 031.50)days.Liver radiodensity on plain scan(odds ratio[OR]=0.81,95％confidence interval[CI]:0.68-0.97,P=0.025),liver radiodensity on contrast-enhanced scan(OR=0.95,95％CI:0.90-0.99,P=0.037),and liver volume(OR=0.99,95％CI:0.98-0.99,P<0.001)were independent influencing factors for the degree of liver fibrosis.The univariate Cox regression analysis showed that the low level of HDL(hazard ratio=2.81,95％CI:1.04-7.54,P=0.041)was associated with the progression of liver fibrosis in CHB patients,and the degree of liver fibrosis,liver volume,and liver radiodensity showed no significant association with the progression of liver fibrosis(all P>0.05).Conclusion In CHB patients,liver radiodensity is an independent influencing factor for the degree of liver fibrosis,and low HDL has a marked influence on the progression of liver fibrosis.

Objective:To explore the mediating role of coping strategies in the relationship between disease uncertainty and post-discharge coping difficulties in mothers of preterm infants.Methods:A convenience sampling method was used to select 255 mothers of preterm infants from Shandong Provincial Hospital Affiliated to Shandong First Medical University, Linyi People 's Hospital, Weifang Maternal and Child Health Hospital, Maternal and Child Care Center of Dezhou, Dongying People 's Hospital between March and May 2023. General information surveys, the Parents ' Perception of Uncertainty Scale, the Simple Coping Style Questionnaire, and Post-Discharge Coping Difficulty Scale-Parent Form were administered on the day of discharge and 3 weeks post-discharge. Structural equation modeling was constructed using AMOS 23.0 software, and the mediating effect was tested using the Bootstrap method. Results:The disease uncertainty score for the 255 mothers of preterm infants was 66.00 (53.00, 77.00), the active coping score was 23.00 (17.00, 27.00), the passive coping score was 10.00 (7.00, 13.00), and the post-discharge coping difficulties score was 42.00 (26.00, 55.00). Mediating effect analysis showed that active and passive coping partially mediated the relationship between disease uncertainty and post-discharge coping difficulties, with mediating effects of 18.73% and 17.06%, respectively.Conclusions:Disease uncertainty can indirectly affect post-discharge coping difficulties through active and passive coping strategies. Healthcare providers should assist mothers of preterm infants in appropriately managing disease uncertainty and actively coping with challenges.

An automated identification method for adolescent schizophrenia based on brain electroencephalogram(EEG)entropy features is proposed for further improving the diagnostic accuracy of adolescent schizophrenia.The raw EEG signals are decomposed into 5 commonly used rhythm bands:Delta,Theta,Alpha,Beta,and Gamma.The permutation entropy,fuzzy entropy,and sample entropy are extracted from each rhythm band and then organized into a feature matrix structured by electrode location×frequency band.Finally,an ECA-CNN model integrating efficient channel attention(ECA)and convolutional neural network(CNN)is constructed for feature classification and realizing the automated identification of adolescent schizophrenia.The results demonstrate that the proposed ECA-CNN model has higher recognition accuracy than the traditional machine learning models,achieving an accuracy of 99.08%,a sensitivity of 99.27%,a specificity of 98.85%,a precision of 99.01%,a F1 score of 99.14%,and a Kappa coefficient of 0.9814.This study provides a new idea and method for the diagnosis of adolescent schizophrenia.

Objective:To characterize the epidemiology of respiratory syndrome across healthcare facilities of different types and tiers in Beijing City, to compare pathogen-testing modalities and their associations with adverse outcomes, and to identify key factors associated with progression to severe illness, thereby informing regional prevention, control, and clinical optimization.Methods:The multicenter observational cohort study was performed using outpatient and emergency department data from five sentinel hospitals in Beijing (Beijing Xiaotangshan Hospital, Beijing Chaoyang District Shuangqiao Hospital, Beijing Haidian Hospital, Beijing You′an Hospital, Capital Medical University (Beijing You′an Hospital), and Beijing Ditan Hospital, Capital Medical University (Beijing Ditan Hospital)) from October 1st, 2023 to April 9th, 2025. Dual-target (two-plex) and triple-target (three-plex) respiratory specimens were collected. Demographic characteristics, visit information, pathogen-testing modalities and results were collected, and the epidemiologic features of patients who progressed to severe illness between the influenza high-incidence season (December to May) and the non-influenza season (June to November) were compared. Categorical variables were analyzed using the chi-square test. Multivariable logistic regression was used to estimate associations between covariates and risk of progression to severe illness.Results:Among the 192 131 cases, patients visited at Beijing You′an Hospital were concentrated in the 16 to 44 year age group, accounting for 66.79%(32 532/48 708). Beijing Xiaotangshan Hospital had a broad age distribution, with older adults comprising up to 22.35% (885/3 960). Of the 47 349 respiratory specimens across the five hospitals, Beijing You′an Hospital had the highest positivity rate for dual-target testing (46.76%(1 585/3 390)), while Beijing Haidian Hospital conducted the largest number of this tests ( n=12 514). For triple-target testing, Beijing You′an Hospital again had the highest positivity rate (45.03%(2 835/6 296)), whereas Beijing Ditan Hospital tested the most specimens ( n=12 011; positivity rate was 29.73%(3 571/12 011)). The influenza season within the same period (November 2023 to January 2024) exhibited a bimodal pattern, with alternating circulation of influenza viruses and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Among 32 744 outpatients/emergency patients who progressed to severe illness, significant seasonal differences were observed by sex, age, comorbidity status, and infection type ( χ2=6.60, 189.24, 32.71 and 189.99, respectively; all P<0.05). After adjustment for sex, age group, comorbidities, and infection type, testing modality remained significantly associated with risk of progression (dual-target testing, odds ratio ( OR)=0.116, 95% confidence interval ( CI) 0.111 to 0.122, P<0.001); no testing, OR=0.063, 95% CI 0.060 to 0.065, P<0.001). Conclusions:The epidemiological pattern of respiratory pathogens undergo significant changes after October 2023, which is characterized by alternating waves of influenza viruses and SARS-CoV-2 with pronounced seasonality and diversity. Substantial inter-hospital differences are observed in testing modalities and positivity rates. Risk of progression to severe illness varies significantly by sex, age, comorbidity burden, and infection type, and is closely associated with the testing modality. These findings support strengthening multiplex pathogen testing and targeted surveillance of high-risk groups to improve early identification and precise control of febrile-respiratory syndromes.

OBJECTIVE To analyze the status of targeted monitoring of the health care-associated infections in in-tensive care unit(ICU)of a three-A hospital of northwest China in recent 7 years so as to provide bases for formu-lating effective prevention and control measures for the health care-associated infections.METHODS The related data were successively collected from the ICU hospitalized patients of the Second Affiliated Hospital of Air Force Medical University who were under the targeted monitoring by nosocomial infection real-time monitoring system from Jan.2017 to Dec.2023.The data included the incidence of infections,infection sites,use of catheters,inci-dence of catheter-related infections,and distribution and prevalence trend of pathogens.RESULTS A total of 49,137 hospitalized patients from five ICU wards of respiratory medicine department,neurosurgery department,neurology department,thoracic surgery department and critical care medicine department were under the monito-ring,1446(1681 case-times)of whom had health care-associated infections,with the infection rate 2.94％,the case-time infection rate 3.42％.The respiratory system was the major infection site of the patients with the health care-associated infections.Among the patients with instrument-associated infections,20.70％had ventilator-asso-ciated pneumonia(VAP),5.71％had urinary catheter-associated urinary tract infection(CAUTI),and 1.96％had catheter-related bloodstream infection(CRBSI).Totally 405 strains of non-repetitive pathogens were isolated from 477 patients with instruments-associated infections,78.77％of which were gram-negative bacteria.The iso-lation rate of multidrug-resistant organisms(MDROs)was 44.12％,and Acinetobacter baumannii was the pre-dominant species of pathogen isolated from the patients with VAP.CONCLUSIONS The targeted monitoring of health care-associated infections may facilitate the awareness of dynamic changes of the infections in a accurate and timely manner so as to provide bases for developing effective prevention and control measures for the health care-associated infection.It is necessary to strengthen the prevention and control of the infections in critical care medi-cine department,neurosurgery department as well as the lower respiratory tract infections and prevent the MDROs infection in the meantime.

Objective To discuss the application of ankle pump exercise with colorful ring counting command in improving the blood hypercoagulable state in patients after hepatic arterial infusion chemotherapy(HAIC).Methods A total of 105 patients,who received HAIC at the Interventional Department of a certain Grade A general hospital in Fujian Province of China from January to December of 2023,were collected.The 53 patients who received treatment from January to June of 2023 were used as the control group,and the other 52 patients who received treatment from July to December of 2023 were used as the study group.The postoperative routine nursing and ankle pump exercise was employed for the patients of the control group,while ankle pump exercise with colorful ring counting command on the basis of postoperative routine nursing was carried out for the patients of the study group.The resting status of popliteal vein,the maximum and average systolic blood flow velocity at the end of exercise,the changes in coagulation index,the incidence of deep vein thrombosis,and the compliance of ankle pump were compared between the two groups.Results There were no statistically significant differences in the resting popliteal vein blood flow velocity and incidence of deep vein thrombosis between the two groups(P＞0.05).The maximum and average popliteal vein blood flow velocity at the end of exercise in the study group were higher than those in the control group.The levels of PT,APTT,FBG,TT and D-dimer(D-D)at 72 hours after HAIC were lower than those in the control group(all P＜0.05),and the compliance of ankle pump exercise in the study group was better than that in the control group(P＜0.05).Conclusion Ankle pump exercise with colorful ring counting command can accelerate lower limb blood flow velocity,improve the blood hypercoagulable state,and improve compliance with ankle pump exercise in patients after receiving HAIC.