Objective To compare the detection rates and antimicrobial resistance rates of Klebsiella pneumoniae(KP)between the intensive care unit of The First People's Hospital of Changzhou(CZFPH-ICU)and the American Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ),as well as the changes in the antimicrobial resistance rate of KP and detection rate of carbapenem-resistant KP(CRKP)in CZFPH-ICU.Methods Differences in speci-men distribution and antimicrobial resistance rate of KP detected from CZFPH-ICU and MIMIC-Ⅳ from 2017 to 2019,as well as the changing trends of specimen distribution,antimicrobial resistance rate,detection rates of KP and CRKP from different specimen sources in CZFPH-ICU from 2017 to 2023 were retrospectively analyzed.Results A total of 2 434 strains of KP were detected in CZFPH-ICU from 2017 to 2019,mainly from sputum specimens.A total of 1 137 strains of KP were detected from MIMIC-Ⅳ database,mainly from urine specimens.Compared with MIMIC-Ⅳ,KP detected from CZFPH-ICU showed higher resistance rate to commonly used antimicrobial agents.A total of 4 874 strains of KP were detected from CZFPH-ICU from 2020 to 2023,mainly from sputum specimens.The detection rates of CRKP from sputum,urine,drainage fluid and bile specimens decreased from 17.77％,20.15％,24.22％and 24.07％in 2017-2019 to 12.99％,13.56％,13.63％and 8.00％in 2020-2023,respectively(all P＜0.05).The changing trend of resistance rate of KP isolated from CZFPH-ICU from 2017 to 2023 to commonly used antimicrobial agents such as piperacillin/tazobactam,imipenem,and meropenem increased in 2017-2019,decreased in 2020-2022,and slightly increased in 2023.In 2013,the resistance rates of KP isolated from CZFPH-ICU to ceftazidime/avibactam,polycolistin B and tigacycline were 21.28％,10.22％and 7.03％,respectively.Conclusion In recent 7 years,resistance rate of KP from CZFPH-ICU showed a slow decline trend,but it was still higher than that in foreign MIMIC-Ⅳ database.Hospitals should strengthen various infection prevention and control measures to ef-fectively control KP resistance and infection.

Heme oxygenase-1(HO-1)is an inducible heme oxygenase and a catalytic enzyme for heme decomposition reactions,which can catalyze the heme decomposition into CO,biliverdin and Fe2+.HO-1 and its metabolites have anti-inflammatory,antioxidant and anti-apoptotic effects in human body,and play an important role in neurodegenerative diseases such as Alzheimer's disease,Parkinson's disease,amyotrophic lateral sclerosis,and Huntington's disease.This article will review the production,distribution,and gene structure of HO-1,the biological characteristics of its metabolites,and the role and mechanism of HO-1 in neurodegenerative diseases,in order to provide a theoretical basis for the clinical application of HO-1.

OBJECTIVE: To analyze the association between different growth patterns and metabolic syndrome in children and adolescents aged 7 to 17 years, and to provide suggestions for the prevention and control of metabolic syndrome in Chinese children and adolescents. METHODS: Data were collected from the research project "Development and Application of Technology and Related Standards for Prevention and Control of Major Diseases among Students" of public health industry in 2012. This project is a cross-sectional study design. A total of 65 347 students from 93 primary and secondary schools in 7 provinces including Guangdong were selected by stratified cluster random sampling method. Given the budget, 25% of the students were randomly selected to collect blood samples. In this study, 10 176 primary and middle school students aged 7 to 17 years with complete physical measurements and blood biochemical indicators were selected as research objects. Chi-square test was used to compare the distribution differences of growth patterns under different demographic characteristics. Birth weight, waist circumference and blood biochemical indexes were expressed in the form of mean ± standard deviation, and the differences among different groups were compared by variance analysis. Binary Logistic regression model was used to analyze the relationship between different growth patterns and metabolic syndrome in children and adolescents aged 7 to 17 years. RESULTS: The prevalence of metabolic syndrome in children and adolescents was 6.56%, 7.18% in boys and 5.97% in girls. The risk of metabolic syndrome was higher in the catch-down growth group than in the normal growth group (OR=1.417, 95%CI: 1.19-1.69), and lower in the catch-up growth group(OR=0.66, 95%CI: 0.53-0.82). After adjusting for gender, age and so on, the risk of developing metabolic syndrome in the catch-down growth group was higher than that in the normal growth group (OR=1.25, 95%CI: 1.02-1.52), but there was no significant difference between the catch-up growth group and the normal growth group (OR=0.79, 95%CI: 0.62-1.01). Stratified analysis showed that the association between different growth patterns and metabolic syndrome was statistically significant in the 7-12 years group, urban population, and Han Chinese student population. CONCLUSION There is a correlation between different growth patterns and metabolic syndrome in children and adolescents. The risk of developing metabolic syndrome in children and adolescents with catch-down growth is higher than that in the normal growth group, which suggests that attention should be paid to the growth and development of children and adolescents, timely correction of delayed growth and prevention of adverse health outcomes.
Male ; Female ; Humans ; Child ; Adolescent ; Metabolic Syndrome/epidemiology* ; Cross-Sectional Studies ; Students ; Urban Population ; Asian People ; China/epidemiology* ; Prevalence

OBJECTIVE: To investigate the status of depression and social anxiety in children and adolescents, and to analyze the association between body fat distribution and depression, social anxiety in children and adolescents. METHODS: A total of 1 412 children aged 7 to 18 years in Beijing were included by stratified cluster random sampling method. Body fat distribution, including total body fat percentage (total BF%), Android BF%, Gynoid BF% and Android-to-Gynoid fat ratio (AOI), were obtained by dual-energy X-ray absorption method. Depression and social anxiety were evaluated by Children Depression Inventory and Social Anxiety Scale for Children. Multivariate linear regression and restricted cubic spline analysis were used to estimate the linear and non-linear correlation between body fat distribution and depression and social anxiety. RESULTS: 13.1% and 31.1% of the children and adolescents had depressive symptoms and social anxiety symptoms respectively, and the detection rate of depression and social anxiety in the boys and young groups was significantly lower than those in the girls and old groups. There was no significant linear correlation between total BF%, Android BF%, Gynoid BF%, AOI and depression and social anxiety in the children and adolescents. However, total BF% and Gynoid BF% had significant nonlinear correlation with depression, showing an inverted U-shaped curve relationship with the tangent points of 26.8% and 30.9%, respectively. In terms of the nonlinear association of total BF%, Android BF%, Gynoid BF% and AOI with depression and social anxiety, the change trends of the boys and girls, low age group and high age group were consistent. The overall anxiety risk HR of body fat distribution in the boys was significantly higher than that in the girls, and the risk HR of depression and social anxiety were significantly higher in the high age group than those in the low age group. CONCLUSION There was no significant linear correlation between body fat distribution and depression and social anxiety in children and adolescents. Total BF% and depression showed an inverted U-shaped curve, mainly manifested in Gynoid BF%, and this trend was consistent in different genders and different age groups. Maintaining children and adolescents' body fat distribution at an appropriate level is the future direction of the prevention and control of depression and social anxiety in children and adolescents.
Humans ; Female ; Child ; Male ; Adolescent ; Cross-Sectional Studies ; X-Rays ; Depression/epidemiology* ; Absorptiometry, Photon/methods* ; Body Mass Index ; Body Fat Distribution ; Anxiety/epidemiology* ; Adipose Tissue ; Body Composition