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.

The efficacy of preoperative neoadjuvant chemoradiotherapy(nCRT)in locally advanced rectal cancer(LARC)is predicted using radiomic features of the target areas in radiotherapy for rectal cancer and an interpretable machine learning model.The clinical data are collected from 290 LARC patients who are divided into effective and ineffective groups based on tumor regression grade.The extracted radiomic features and clinicopathological data are used to develop prediction models.The optimal model is determined based on AUC performance evaluation,and the explanatory analysis is conducted using nomogram and decision curve.A total of 223 patients are included in the study,with 48 in the effective group.There are 156 patients in the training set(34 in the effective group)and 67 patients in the validation set(14 in the effective group).The nomogram model shows the best performance,with AUC of 0.858 in the training set and 0.844 in internal test set,and decision curve analysis demonstrated its superior net clinical benefit across most threshold ranges than other models.Combining radiomics and clinical variables,the nomogram can effectively predict nCRT outcomes and support clinical decision-making.

Objective:By using cognitive interviews,the interviewees' cognition and understanding of the inflammatory bowel disease(IBD) self-efficacy scale for adolescents and young adults (IBDSES-A) were evaluated,and the semantic content of IBDSES-A,which was initially translated into Chinese,was tested and revised.Methods:Using purposive sampling,15 IBD patients aged 12-18 were selected from Beijing Children's Hospital,Capital Medical University,between January and February 2025,stratified by age group and disease type.Two rounds of cognitive interviews were conducted.Feedback and suggestions from interviewees were analyzed using a question appraisal system for coding and integration.Based on expert panel discussions,ambiguous items were revised to finalize the Chinese version of the IBDSES-A.Results:In the first round,10 interviewees were interviewed,followed by 5 interviewees in the second round.There were no statistically significant differences ( P>0.05) between the interviewees of two rounds in terms of age,gender,and education level.During the first round of interview,interviewees expressed comprehension difficulties with 76.9% (10/13) of the items.Coding analysis revealed that the primary issue was "clarification",as unclear wording made it difficult for interviewees to fully grasp the intended meaning of certain items.Based on these findings,the expert panel revised 10 of the 13 items in the IBDSES-A.The second round of cognitive interview showed that the interviewees generally understood the revised items，achieving linguistic and semantic consistency with the original scale. Conclusion:The application of cognitive interviews in the translation process of the IBDSES-A helps reduce comprehension biases caused by inappropriate wording，ensuring that the localized version of the scale is more accessible and understandable to the target population.

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.

The efficacy of preoperative neoadjuvant chemoradiotherapy(nCRT)in locally advanced rectal cancer(LARC)is predicted using radiomic features of the target areas in radiotherapy for rectal cancer and an interpretable machine learning model.The clinical data are collected from 290 LARC patients who are divided into effective and ineffective groups based on tumor regression grade.The extracted radiomic features and clinicopathological data are used to develop prediction models.The optimal model is determined based on AUC performance evaluation,and the explanatory analysis is conducted using nomogram and decision curve.A total of 223 patients are included in the study,with 48 in the effective group.There are 156 patients in the training set(34 in the effective group)and 67 patients in the validation set(14 in the effective group).The nomogram model shows the best performance,with AUC of 0.858 in the training set and 0.844 in internal test set,and decision curve analysis demonstrated its superior net clinical benefit across most threshold ranges than other models.Combining radiomics and clinical variables,the nomogram can effectively predict nCRT outcomes and support clinical decision-making.

Objective:By using cognitive interviews,the interviewees' cognition and understanding of the inflammatory bowel disease(IBD) self-efficacy scale for adolescents and young adults (IBDSES-A) were evaluated,and the semantic content of IBDSES-A,which was initially translated into Chinese,was tested and revised.Methods:Using purposive sampling,15 IBD patients aged 12-18 were selected from Beijing Children's Hospital,Capital Medical University,between January and February 2025,stratified by age group and disease type.Two rounds of cognitive interviews were conducted.Feedback and suggestions from interviewees were analyzed using a question appraisal system for coding and integration.Based on expert panel discussions,ambiguous items were revised to finalize the Chinese version of the IBDSES-A.Results:In the first round,10 interviewees were interviewed,followed by 5 interviewees in the second round.There were no statistically significant differences ( P>0.05) between the interviewees of two rounds in terms of age,gender,and education level.During the first round of interview,interviewees expressed comprehension difficulties with 76.9% (10/13) of the items.Coding analysis revealed that the primary issue was "clarification",as unclear wording made it difficult for interviewees to fully grasp the intended meaning of certain items.Based on these findings,the expert panel revised 10 of the 13 items in the IBDSES-A.The second round of cognitive interview showed that the interviewees generally understood the revised items，achieving linguistic and semantic consistency with the original scale. Conclusion:The application of cognitive interviews in the translation process of the IBDSES-A helps reduce comprehension biases caused by inappropriate wording，ensuring that the localized version of the scale is more accessible and understandable to the target population.

Objective:To evaluate the risk factors for the complexity and surgical prognosis in patients with proliferative diabetic retinopathy (PDR).Methods:A historical cohort study of the CONCEPT trial, including 97 patients (97 eyes) who were diagnosed with PDR and requiring three-channel 23-gauge transconjunctival pars plana vitrectomy (PPV) from June 2017 to January 2018 at the First Affiliated Hospital of Nanjing Medical University.All patients received preoperative intravitreal injection of 0.5 mg conbercpet.Based on the PDR complexity score, patients were divided into >3 group or ≤3 group, and the systematic risk factors were compared between the two groups.The influence of sex, age, hypertension, renal insufficiency, duration of diabetes mellitus, and hemoglobin A1c level on the PDR complexity score was evaluated by multivariate logistic regression analysis.Based on age, patients were divided into <45 years group, 45-<60 years group, and ≥60 years group, and the differences in mean operative time, incidence of intraoperative hemorrhage, surgically induced lacrimation and silicone oil filling, and incidence of hemorrhage on color fundus photos and macular edema by optical coherence tomography at postoperative months 1 and 6 were analyzed among different age groups.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of The First Affiliated Hospital of Nanjing Medical University (No.2017-SR-283).Written informed consent was obtained from each subject.Results:The age of patients with PDR complexity score >3 was 46.5(36.0, 51.8) years, which was less than 54.0(45.5, 61.5) years for PDR complexity score ≤3, and the difference was statistically significant ( Z=1.835, P=0.002).Among the factors predicting PDR complexity score >3, logistic regression analysis indicated that only age was statistically significant ( P=0.005).For each 1-year increase in age, the risk of PDR complexity score >3 would increase by 7.4%( OR: 0.929, 95% CI: 0.883-0.977).Among the systemic factors, there were significant differences in age, history of diabetes, proportion of patients with hypertension and renal insufficiency among the three age groups (all at P<0.05).Among the ocular factors, there were significant differences in the proportion of patients with history of retinal laser treatment, fibrovascular membrane and complexity score >3 among the three groups (all at P<0.05).The proportion of patients with fibrovascular membrane and complexity score >3 in the <45 years group was significantly higher than that in the 45-<60 and ≥60 years groups (all at P<0.05).There were significant differences in the proportion of patients with intraoperative bleeding and silicone oil filling in the three age groups (all at P<0.017).The proportion of intraoperative bleeding and silicone oil filling in <45 years group was significantly higher than that in 45-<60 and ≥60 years groups (all at P<0.05).The macular edema on postoperative month 1 in the <45 years old group was significantly higher than that in the 45-<60 and ≥60 years groups (both at P<0.05). Conclusions:Among systemic factors, age has a significant impact on the increased PDR complexity and contributes to the poor prognosis of patients.There is a higher percentage of intraoperative complications and early postoperative macular edema in patients in the younger age group compared to the older age group.