1.Analysis of developmental function in 32 511 children with global developmental delay
Nina XIONG ; Zhijun CUI ; Ming ZHAO ; Juan DU ; Shijie LI ; Muhan LI ; Yuanyuan LU ; Aimin LIANG ; Yang MA
Chinese Journal of Epidemiology 2025;46(6):1051-1057
Objective:The clinical symptoms of children with global developmental delay (GDD) were analyzed to provide the scientific basis for the intervention of children with GDD.Methods:The results of the neuro-psychobehavioral scale were collected from 32 511 children with GDD from June 2020 to November 2023. Inclusion criteria: Children diagnosed with GDD according to the Diagnostic and Statistical Manual of Mental Disorders-V, ages 0.0 to 4.9 years. Exclusion criteria: children with common hearing impairment and visual impairment. The Chi-square tests were used for statistical analysis.Results:There were more boys than girls with GDD in outpatient clinics (68.2% vs. 31.8%). Among the children, the proportion of developmental delay in 5, 4, 3, and 2 domains was 31.1%, 23.4%, 22.9% and 22.6% respectively. The rate of delay in 2-3 domains was lower in boys (41.9%) than in girls (53.1%). The rate of delay in 4-5 domains was higher in boys (58.1%) than in girls (46.9%) ( χ2=352.11, P<0.001). Overall, outpatient GDD decreased with age. From 1.0-1.9 to 4.0-4.9 years of age, the proportion of children with developmental delay in 5 domains increased with age (18.2%, 36.4%, 43.9%, 52.4%). Among children aged 0.0-0.9 years, the proportion of 2 domains of developmental delay was higher (33.4%).Among children aged 1.0-1.9 years, the proportion of 2-3 domains of developmental delay was higher (30.7%). Among children aged 2.0-, 3.0-, 4.0-4.9 years, the proportion of developmental delay in 5 domains was higher (36.4%, 43.9%, 52.4%). In children with GDD, the fine motor delay occurred most frequently (85.1%), followed by social self-care (83.9%), language (79.0%), adaptation (62.3%), and gross motor (52.8%). The frequency of developmental delays in fine motor, adaptability, language, and social self-care in boys was higher than that in girls ( χ2=161.37, χ2=41.10, χ2=320.90, χ2=238.54, all P<0.001). The age groups with the highest delay incidence of gross motor, fine motor, adaptability, language, and social self-care were: 4.0-4.9 years (70.6%), 3.0-3.9 years (97.4%), 4.0-4.9 years (81.2%), 2.0-2.9 years (90.9%),2.0-2.9 years (95.4%). The proportions of fine motor delay in GDD children aged 0.0-0.9, 3.0-3.9 and 4.0-4.9 years were (74.5%, 97.4%, 96.8%) and the proportions of social self-care delay in GDD children aged 1.0- and 2.0-2.9 years were (92.1%, 95.4%). Peripheral and mild developmental delays were predominant in children with GDD. The proportion of severe language delay (6.4%) was higher than that in other fields. Conclusions:The proportion of GDD children with developmental delay in 4-5 domains was 54.5%. The most frequent domain of delay was fine motor. The frequencies of developmental delays in fine motor skills, adaptability, language, and social self-care in boys were higher than in girls. Most of the developmental delays in GDD children were marginal and mild. The rate of severe developmental delay in language was higher than in other domains.
2.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
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.
3.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
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.
4.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
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.
5.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
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.
6.Analysis of developmental function in 32 511 children with global developmental delay
Nina XIONG ; Zhijun CUI ; Ming ZHAO ; Juan DU ; Shijie LI ; Muhan LI ; Yuanyuan LU ; Aimin LIANG ; Yang MA
Chinese Journal of Epidemiology 2025;46(6):1051-1057
Objective:The clinical symptoms of children with global developmental delay (GDD) were analyzed to provide the scientific basis for the intervention of children with GDD.Methods:The results of the neuro-psychobehavioral scale were collected from 32 511 children with GDD from June 2020 to November 2023. Inclusion criteria: Children diagnosed with GDD according to the Diagnostic and Statistical Manual of Mental Disorders-V, ages 0.0 to 4.9 years. Exclusion criteria: children with common hearing impairment and visual impairment. The Chi-square tests were used for statistical analysis.Results:There were more boys than girls with GDD in outpatient clinics (68.2% vs. 31.8%). Among the children, the proportion of developmental delay in 5, 4, 3, and 2 domains was 31.1%, 23.4%, 22.9% and 22.6% respectively. The rate of delay in 2-3 domains was lower in boys (41.9%) than in girls (53.1%). The rate of delay in 4-5 domains was higher in boys (58.1%) than in girls (46.9%) ( χ2=352.11, P<0.001). Overall, outpatient GDD decreased with age. From 1.0-1.9 to 4.0-4.9 years of age, the proportion of children with developmental delay in 5 domains increased with age (18.2%, 36.4%, 43.9%, 52.4%). Among children aged 0.0-0.9 years, the proportion of 2 domains of developmental delay was higher (33.4%).Among children aged 1.0-1.9 years, the proportion of 2-3 domains of developmental delay was higher (30.7%). Among children aged 2.0-, 3.0-, 4.0-4.9 years, the proportion of developmental delay in 5 domains was higher (36.4%, 43.9%, 52.4%). In children with GDD, the fine motor delay occurred most frequently (85.1%), followed by social self-care (83.9%), language (79.0%), adaptation (62.3%), and gross motor (52.8%). The frequency of developmental delays in fine motor, adaptability, language, and social self-care in boys was higher than that in girls ( χ2=161.37, χ2=41.10, χ2=320.90, χ2=238.54, all P<0.001). The age groups with the highest delay incidence of gross motor, fine motor, adaptability, language, and social self-care were: 4.0-4.9 years (70.6%), 3.0-3.9 years (97.4%), 4.0-4.9 years (81.2%), 2.0-2.9 years (90.9%),2.0-2.9 years (95.4%). The proportions of fine motor delay in GDD children aged 0.0-0.9, 3.0-3.9 and 4.0-4.9 years were (74.5%, 97.4%, 96.8%) and the proportions of social self-care delay in GDD children aged 1.0- and 2.0-2.9 years were (92.1%, 95.4%). Peripheral and mild developmental delays were predominant in children with GDD. The proportion of severe language delay (6.4%) was higher than that in other fields. Conclusions:The proportion of GDD children with developmental delay in 4-5 domains was 54.5%. The most frequent domain of delay was fine motor. The frequencies of developmental delays in fine motor skills, adaptability, language, and social self-care in boys were higher than in girls. Most of the developmental delays in GDD children were marginal and mild. The rate of severe developmental delay in language was higher than in other domains.
7.Preliminary exploration of the effectiveness of comprehensive healthcare management model for children with bacterial meningitis after discharge
Shijie LI ; Gang LIU ; Wanxia ZHANG ; Huili HU ; Ming ZHAO ; Zhenzhen DOU ; Wenjing JI ; Juan DU ; Aimin LIANG
Chinese Journal of Health Management 2024;18(10):761-767
Objective:To explore the effectiveness of the comprehensive healthcare management model for children with bacterial meningitis after discharge.Methods:This study was a retrospective cohort study that included 268 children with bacterial meningitis who were discharged from the infectious medicine ward of Beijing Children′s Hospital from September 2018 to September 2023. The children were managed with a multidisciplinary collaborative comprehensive healthcare management model after discharge. Outpatient data at 1 month and 6, 12 and 24 months after discharge were collected, including (height, weight, body mass index, nutritional feeding status, hearing and vision screening results, Gesell developmental assessment results and intervention guidance services. The follow-up interval or frequency was dynamically adjusted or increased according to the child′s situation. The paired sample t-test and chi square test were applied to compare the differences in Gesell developmental quotient (DQ) and developmental delay rate between the first and last assessments to preliminarily explore the effectiveness of the comprehensive healthcare management model for children with bacterial meningitis after discharge. Results:All the 268 children completed their first assessment one month after discharge, and 37 children were found to have abnormal physical growth, mainly obesity (28 children), and another 9 children were malnutrition. Nutritional intervention and feeding guidance services were provided to all the 37 children, and as of the last follow-up, 20 children′s physical growth evaluations had turned normal. A total of 188 children completed at least 2 developmental assessments, with an interval of (14.2±9.4) months between the first and last assessments (range: 3.1-49.5 months). The DQ values of in the energy region of adaptability, gross motor skills, fine motor skills, language, and personal social skills at the last assessment were significantly higher than those at the first assessment [(91.93±13.28) vs (80.73±15.96) points, (91.69±12.96) vs (78.31±16.58) points, (89.32±16.11) vs (80.68±15.63) points, (90.10±16.65) vs (82.04±18.43) points, (92.01±14.05) vs (77.82±17.42) points]; moreover, the rates of developmental delay in each energy region were significantly lower than those at the initial assessment (9.6% vs 35.1%, 9.6% vs 42.0%, 18.1% vs 33.0%, 13.3% vs 31.9%, 9.6% vs 42.0%) (all P<0.05). Among the 200 children who completed the hearing screening, 18 were found with hearing abnormalities, and 2 were diagnosed with hearing loss in the Otolaryngology Department. Among 217 children who completed vision screening, 23 had abnormalities, and 5 were diagnosed with ophthalmic abnormalities in Ophthalmology Department (2 with strabismus, 2 with refractive errors, and 1 with optic nerve injury). Two children were found to have autism-like behavior during monitoring, and were referred to a developmental behavior clinic to be diagnosed with autism spectrum disorder and were given early diagnosis and intervention guidance. Conclusion:The comprehensive healthcare management model for children with bacterial meningitis after discharge can integrate clinical and healthcare resources, which is beneficial for improving the prognosis and enhancing the quality of life for children with special health status.
8.Correlation between overactive bladder and allergies in children
Ningning WANG ; Aimin SUN ; Yue DU
Journal of China Medical University 2024;53(10):939-943,948
Objective To assess the clinical correlation between overactive bladder(OAB)and allergies in children.Methods The clinical characteristics of 663 children diagnosed with OAB in outpatient clinics between January 2020 and January 2022 were retro-spectively analyzed,and logistic regression was used to analyze the risk factors for OAB and evaluate the effect of antihistamine drugs on OAB.Blood and urine samples of some children with OAB were collected to analyze the expression levels of bradykinin and substance P.Results A history of eczema,urticaria,pruritus,mosquito bites,allergic rhinitis,allergic cough with asthma,food allergies,constipation,and total blood IgE levels were risk factors for OAB in children(P<0.05).The efficacy rate of antihistamine treatment in children with OAB was 95.5%,and no adverse reactions were observed,indicating that the efficacy and safety of OAB in children receiving antihista-mine treatment were good,and the proportion of children with OAB and urticaria in the antihistamine treatment group was higher(P<0.05).The total blood IgE levels in children with OAB in the effective group of antihistamine treatment were higher than those in the ineffective group(P<0.05).In addition,the expression level of bradykinin in the urine of children with OAB was significantly higher than in healthy children(P<0.05),while the level of substance P was not significantly increased(P>0.05).Conclusion OAB in chil-dren are related to their allergic status,children's previous respiratory,digestive tract,and skin allergies,and significantly elevated blood IgE levels are risk factors for OAB in children.Antihistamine treatment of OAB in children is safe and effective.OAB in children may be related to urine bradykinin.
9.Assessment of intervention measures on trihalomethane in finished water by interrupted time series analysis
Yangyang REN ; Hailei QIAN ; Saifeng PEI ; Xiaodong SUN ; Zheng WU ; Chen WU ; Jingxian ZHOU ; Aimin DU ; Shaofeng SUI
Journal of Environmental and Occupational Medicine 2024;41(4):420-424
Background The Qingcaosha Reservoir is facing issues of algal blooms and eutrophication, and the resulting increase in the level of chlorination disinfection by-products in the water has been a major concern. Objective To evaluate the impact of "Algae Monitoring and Control Program in Qingcaosha Reservoir" (hereinafter referred to as the program) on the control of trihalomethanes (THMs) in conventional finished water. Methods From 2011 to 2019, water samples were collected from the Lujiazui Water Plant once per season, one sample each time, and the concentrations of four THMs (trichloromethane, dichlorobromomethane, monochlorodibromomethane, and tribromomethane) were measured in the samples. Using 2014 when the program was implemented as a cut-off point, the entire study period was divided into two phases: pre-implementation (2011–2013) and post-implementation(2014–2019). Segmented linear regression with interrupted time series analysis was applied to assess the concentrations and trends of THMs in the finished water before and after the program launch. Results The concentration of total THMs in finished water increased by 1.561 µg·L−1 (P=0.010) for each season of time extension before launching the program. The change in the concentration of total THMs in finished water was not statistically significant after the program launch, but the THMs concentration showed a decreasing trend as the slope was −0.626 (P=0.001). From 2017 until the end of 2019, the average concentration of THMs in finished water of Lujiazui Water Plant dropped to 10 μg·L−1 or less. Conclusions The algae and eutrophication control measures in Qingcaosha Reservoir have achieved good results, controlling THMs in finished water at a low level, and the trend of THMs has changed from a yearly increase pattern before the program to a yearly decrease pattern after the program.
10.Changing distribution and antimicrobial resistance profiles of clinical isolates from wound pus:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yu ZHANG ; Ying HUANG ; Yuanhong XU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(6):690-699
Objective To investigate the distribution and antimicrobial resistance profiles of the clinical isolates from wound pus in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods All the bacterial strains were isolated from wound pus samples from 2015 to 2021.The isolates were identified according to conventional methods.Antimicrobial susceptibility test was conducted by disk diffusion method or commercial automated susceptibility testing systems according to CHINET-specified uniform protocol.The results are interpreted according to the Clinical and Laboratory Standards Institute (CLSI) breakpoints (2021 Edition).Results A total of 90856 bacterial strains were isolated from wound pus samples from 2015 to 2021,of which gram positive bacteria accounted for 36.0% (32729/90856) and gram negative bacteria accounted for 64.0% (58127/90856).The most common bacterial species were Escherichia coli,Staphylococcus aureus,Klebsiella pneumoniae,Pseudomonas aeruginosa,and Enterococcus.About 88.9% of these strains were isolated from inpatients and 11.1% from outpatients.The strains collected from surgery department and internal medicine accounted for (53.4±3.6)% (49191/90856) and (9.6±1.0)% (8960/90856) on average over the 7-year period.E.coli showed low level resistance to carbapenems (1.1%).The prevalence of ESBLs-producing E.coli was 51.1%.More than 35% of the E.coli isolates were resistant to cefotaxime,ciprofloxacin,and trimethoprim-sulfamethoxazole.The prevalence of ESBLs-producing K.pneumoniae was 29.7%.The prevalence of imipenem-resistant and meropenem-resistant K.pneumoniae varied from 2015 to 2021,but reached the peak level (12.5% and 12.7%) in 2020.However,other Enterobacterales species showed low resistance rates to carbapenems.The prevalence of ESBLs-producing Klebsiella oxytoca and Proteus was 18.3% and 32.5%,respectively.About 13.1% and 10.6% of P.aeruginosa isolates were resistant to imipenem and meropenem,respectively.However,71.1% and 72.4% of A.baumannii isolates were resistant to imipenem and meropenem,respectively.The overall prevalence of MRSA was 22.7% in wound pus samples over the 7-year period.Three vancomycin-resistant strains and 122 linezolid-resistant isolates were identified in Enterococcus faecalis.Thirty-one vancomycin-resistant strains and 11 linezolid-resistant strains were detected in Enterococcus faecium.Conclusions The overall prevalence of MRSA,vancomycin-resistant Enterococcus (VRE),linezolid-resistant Enterococcus (LRE),ESBLs-producing Enterobacterales,and carbapenem-resistant organisms (CRO) in the isolates from wound pus samples was relatively lower than the corresponding prevalence in the total clinical isolates collected in the CHINET program.This finding suggests that the antimicrobial resistance profile of bacterial isolates may vary with the source of clinical samples.Therefore,we should strengthen the antimicrobial resistance surveillance for the isolates from different sites of infection.

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