Chronic obstructive pulmonary disease （COPD）， as one of the three major causes of death， is a complex systemic disease with high prevalence， high mortality， high disability， frequent acute exacerbations， and a variety of pulmonary complications. The pathogenesis is complex. Western medicine has no effective specificity scheme for a complete cure. However， multiple-component and multiple-target characteristics of traditional Chinese medicine （TCM） demonstrate significant advantages in COPD treatment through multi-link， multi-pathway， and multi-mechanism intervention. Therefore， exploring the essence of COPD pathogenesis and discovering effective TCM treatment drugs through the application of TCM principles and prescriptions is a key focus of modern research. Animal models are of paramount importance in medical research. It is the first consideration to select appropriate animals， adopt reasonable modeling methods to replicate stable animal models that closely resemble the clinical manifestations and pathophysiological characteristics of COPD， and use appropriate evaluation methods to determine the success of COPD animal models in experimental research. The core of experimental research lies in observing the intervention effect of TCM on COPD animal models， exploring the specific pathways and regulatory mechanisms of TCM on COPD disease， and finding TCM monomers， single herbs， and TCM formulas with definite curative effects. At present， animal model research on COPD mainly involves model establishment， model evaluation， efficacy observation， mechanism exploration， and other aspects. In recent years， there has been no systematic organization， update， and reflection on the relevant research on TCM intervention in COPD animal models. This study reviewed the selection of animals for the COPD model， methods for establishing COPD animal models， model evaluation methods， and the intervention effects of TCM on COPD animal models. It aims to grasp the current research status and identify existing problems for further improvement， in order to provide evidence and support for scientific research and clinical treatment of COPD.

Chronic obstructive pulmonary disease （COPD）， as one of the three major causes of death， is a complex systemic disease with high prevalence， high mortality， high disability， frequent acute exacerbations， and a variety of pulmonary complications. The pathogenesis is complex. Western medicine has no effective specificity scheme for a complete cure. However， multiple-component and multiple-target characteristics of traditional Chinese medicine （TCM） demonstrate significant advantages in COPD treatment through multi-link， multi-pathway， and multi-mechanism intervention. Therefore， exploring the essence of COPD pathogenesis and discovering effective TCM treatment drugs through the application of TCM principles and prescriptions is a key focus of modern research. Animal models are of paramount importance in medical research. It is the first consideration to select appropriate animals， adopt reasonable modeling methods to replicate stable animal models that closely resemble the clinical manifestations and pathophysiological characteristics of COPD， and use appropriate evaluation methods to determine the success of COPD animal models in experimental research. The core of experimental research lies in observing the intervention effect of TCM on COPD animal models， exploring the specific pathways and regulatory mechanisms of TCM on COPD disease， and finding TCM monomers， single herbs， and TCM formulas with definite curative effects. At present， animal model research on COPD mainly involves model establishment， model evaluation， efficacy observation， mechanism exploration， and other aspects. In recent years， there has been no systematic organization， update， and reflection on the relevant research on TCM intervention in COPD animal models. This study reviewed the selection of animals for the COPD model， methods for establishing COPD animal models， model evaluation methods， and the intervention effects of TCM on COPD animal models. It aims to grasp the current research status and identify existing problems for further improvement， in order to provide evidence and support for scientific research and clinical treatment of COPD.

Objective To analyze the clinical manifestations of patients over 60 years old with acute respiratory infection in Pudong New Area of Shanghai and the risk factors of positive detection of novel coronavirus, and to provide reference for improving prevention and control strategies and measures. Methods General conditions, clinical features, basic complications and respiratory samples of inpatients over 60 years old with acute respiratory infection from eight hospitals in Pudong New Area of Shanghai from January to October 2023 were collected, and SARS-CoV-2 detection was carried out. Chi-square test and binary logistics regression were used for data analysis. Results A total of 604 patients over 60 years old were collected, including 356 (58.945) males with a median age of 77 (IQR:70-85) years. Of the 604 cases, 264 were detected positive for SARS-CoV-2, with a positive detection rate of 43.71%. The results of univariate analysis showed that there were significant differences in the detection rates of SARS-CoV-2 among different age groups (χ²=10.60, P=0.01) and different months (χ²=87.15, P=0.00), and among those with cough (χ²=5.28, P=0.02), sputum (χ²=4.19, P=0.04), sore throat (χ²=3.93, P=0.04), and hypertension (χ²=7.63, P=0.01). In the binary logistics regression analysis, month (P=0.00, OR=2.93, 95% CI=1.49-5.78) and age (P=0.00, OR=2.60, 95% CI=1.55-4.37) were independent risk factors for positive detection of SARS-CoV-2. Conclusion The majority of hospitalized cases of acute respiratory infection over 60 years old are male, and the risk factors for positive detection of novel coronavirus are age 80~89 years old and time between May and June.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Objective: This study explored whether anxiety and core self-evaluation mediate the relationship between negative life events and depressive symptoms in adolescents of the Yi ethnic minority in China. Methods: In this cross-sectional study, a convenience sample of 627 Yi adolescents 10–19 years old (252 males, 40.2%) from primary, middle and high schools in Liangshan Prefecture in China completed the Adolescent Self-Rating Life Events Checklist (ASLEC) to report on negative life events, the Second Edition of the Beck Depression Inventory (BDI-II) to report on depressive symptoms, the Core Self-Evaluations Scale (CSES) to describe core self-evaluation, and the Screen for Child Anxiety-Related Emotional Disorders (SCARED) to report anxiety symptoms. Results: In Pearson correlation analysis, total score and dimension subscores on the ASLEC correlated positively with total score and dimension subscores on the SCARED survey as well as with total score on the BDI. Total ASLEC score and dimension subscores correlated negatively with total CSES score. Mediation analysis indicated that negative life events affected depressive symptoms directly, as well as indirectly via core self-evaluation (mediating effect was 0.087; 95% confidence interval [CI], 0.063–0.113; p<0.001). The chain-mediated pathway effect was significant (mediating effect was 0.017; 95% CI, 0.011–0.026; p<0.001). Conclusion Yi adolescents in Liangshan Prefecture show certain prevalence of anxiety and depression, and they score relatively low on core self-evaluation. In this ethnic group, negative life events can affect depressive symptoms directly as well as indirectly through chain-mediated effects of anxiety and core self-evaluation.

Objective: This study explored whether anxiety and core self-evaluation mediate the relationship between negative life events and depressive symptoms in adolescents of the Yi ethnic minority in China. Methods: In this cross-sectional study, a convenience sample of 627 Yi adolescents 10–19 years old (252 males, 40.2%) from primary, middle and high schools in Liangshan Prefecture in China completed the Adolescent Self-Rating Life Events Checklist (ASLEC) to report on negative life events, the Second Edition of the Beck Depression Inventory (BDI-II) to report on depressive symptoms, the Core Self-Evaluations Scale (CSES) to describe core self-evaluation, and the Screen for Child Anxiety-Related Emotional Disorders (SCARED) to report anxiety symptoms. Results: In Pearson correlation analysis, total score and dimension subscores on the ASLEC correlated positively with total score and dimension subscores on the SCARED survey as well as with total score on the BDI. Total ASLEC score and dimension subscores correlated negatively with total CSES score. Mediation analysis indicated that negative life events affected depressive symptoms directly, as well as indirectly via core self-evaluation (mediating effect was 0.087; 95% confidence interval [CI], 0.063–0.113; p<0.001). The chain-mediated pathway effect was significant (mediating effect was 0.017; 95% CI, 0.011–0.026; p<0.001). Conclusion Yi adolescents in Liangshan Prefecture show certain prevalence of anxiety and depression, and they score relatively low on core self-evaluation. In this ethnic group, negative life events can affect depressive symptoms directly as well as indirectly through chain-mediated effects of anxiety and core self-evaluation.

Objective: This study explored whether anxiety and core self-evaluation mediate the relationship between negative life events and depressive symptoms in adolescents of the Yi ethnic minority in China. Methods: In this cross-sectional study, a convenience sample of 627 Yi adolescents 10–19 years old (252 males, 40.2%) from primary, middle and high schools in Liangshan Prefecture in China completed the Adolescent Self-Rating Life Events Checklist (ASLEC) to report on negative life events, the Second Edition of the Beck Depression Inventory (BDI-II) to report on depressive symptoms, the Core Self-Evaluations Scale (CSES) to describe core self-evaluation, and the Screen for Child Anxiety-Related Emotional Disorders (SCARED) to report anxiety symptoms. Results: In Pearson correlation analysis, total score and dimension subscores on the ASLEC correlated positively with total score and dimension subscores on the SCARED survey as well as with total score on the BDI. Total ASLEC score and dimension subscores correlated negatively with total CSES score. Mediation analysis indicated that negative life events affected depressive symptoms directly, as well as indirectly via core self-evaluation (mediating effect was 0.087; 95% confidence interval [CI], 0.063–0.113; p<0.001). The chain-mediated pathway effect was significant (mediating effect was 0.017; 95% CI, 0.011–0.026; p<0.001). Conclusion Yi adolescents in Liangshan Prefecture show certain prevalence of anxiety and depression, and they score relatively low on core self-evaluation. In this ethnic group, negative life events can affect depressive symptoms directly as well as indirectly through chain-mediated effects of anxiety and core self-evaluation.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)％.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0％vs 29.5％).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7％vs 7.8％,0.8％vs 0.1％,both P＜0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)％with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9％and 1.8％,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1％).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10％.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P＜0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.