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ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2021

Microbiological profiles and antimicrobial resistance patterns of pediatric bloodstream pathogens in China, 2016-2018.

Yue Qiu, Junwen Yang, Yiping Chen, Jinhong Yang, Qingxiong Zhu, Chunhui Zhu, Shuangjie Li, Jing Liu, Chaomin Wan, Yu Zhu and 18 more

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
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  11. Clinical profiles and antimicrobial resistance patterns of invasive Salmonella infections in children in China.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Article
  12. Article
  13. Article
  14. InvasiveInfection and drug resistance · 2021
    Article
  15. Frontiers in oncology · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Yue Qiu *Department of Infectious Diseases, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
Junwen Yang *Department of Microbiology Laboratory, Children's Hospital Affiliated to Zhengzhou University (Henan Children's Hospital), Zhengzhou, China.
Yiping Chen *Department of Pediatrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Jinhong YangDepartment of Microbiology Laboratory, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Qingxiong ZhuDepartment of Infection Diseases, Children's hospital of Jiangxi Province, Nanchang, China.
Chunhui ZhuDepartment of Infection Diseases, Children's hospital of Jiangxi Province, Nanchang, China.
Shuangjie LiDepartment of Hepatology, Hunan Children's Hospital, Changsha, China.
Jing LiuDepartment of Infection Diseases, Hunan Children's Hospital, Changsha, China.
Chaomin WanDepartment of Pediatrics, Sichuan University West China Second Hospital, Chengdu, China.
Yu ZhuDepartment of Pediatrics, Sichuan University West China Second Hospital, Chengdu, China.
Minxia ChenDepartment of Infections Disease, Guangzhou Women and Children's Medical Center, Guangzhou, China.
Yi XuDepartment of Infections Disease, Guangzhou Women and Children's Medical Center, Guangzhou, China.
Jianning TongDepartment of Pediatric, Gastroenterology and Infectious Diseases, Qingdao Women and Children's Hospital, Qingdao, China.
Rui LiDepartment of Pediatric, Gastroenterology and Infectious Diseases, Qingdao Women and Children's Hospital, Qingdao, China.
Qingwen ShanDepartment of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Daojiong LinDepartment of infectious diseases, Hainan Women and Children's Medical Center, Haikou, China.
Shouye WuDepartment of infectious diseases, Hainan Women and Children's Medical Center, Haikou, China.
Zhiqiang ZhuoDepartment of infectious diseases, Xiamen Children's Hospital, Xiamen, China.
Caihong WangDepartment of infectious diseases, Xiamen Children's Hospital, Xiamen, China.
Shiyong ZhaoDepartment of Infectious Diseases, Hangzhou Children's Hospital, Hangzhou, China.
Zhenghong QiDepartment of Infectious Diseases, Hangzhou Children's Hospital, Hangzhou, China.
Xiaofeng SunDepartment of Infectious Diseases, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Bieerding MaihebubaDepartment of Infectious Diseases, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Chunmei JiaDepartment of Pharmacy, The fourth Hospital of Baotou, Baotou, China.
Huiling GaoDepartment of Pharmacy, The fourth Hospital of Baotou, Baotou, China.
Yibing ChengDepartment of Emergency, Henan Children's Hospital Affiliated to Zhengzhou University, 33, Longhu Outer Ring East Road, Zhengzhou, 450018, China. 13703829317@163.com.
Mei ZengDepartment of Infectious Diseases, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China. zengmeigao@aliyun.com.
Collaborative Working Group of the Pediatric Subgroup of the China Society of Infectious Diseases

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the microbiological profiles and antimicrobial resistance patterns of bloodstream pathogens in Chinese children.

methodsThis retrospective study was conducted at 13 tertiary hospitals in China during 2016-2018. The first bloodstream isolates of the same species from one pediatric patient < 18 years were included to this study for analysis. Antimicrobial susceptibility testing was determined based on minimum inhibitory concentrations or Kirby-Bauer disk diffusion methods according to the 2018 Clinical and Laboratory Standards Institute guidelines.

resultsOverall, 9345 nonduplicate bloodstream isolates were collected. Top 10 pathogens included Coagulase-negative staphylococcus (CoNS) (44.4%), Escherichia coli (10.2%), Klebsiella pneumoniae (5.9%), Staphylococcus aureus (5.0%), Streptococcus pneumoniae (4.9%), Pseudomonas aeruginosa(2.8%), Enterococcus faecium (2.7%), Stenotrophomonas maltophilia (2.4%), Salmonella spp. (2.3%), and Streptococcus agalactiae (2.0%). The commonest pathogens apart from CoNS in age group 0-28 days, 29 days-2 months, 3-11 months, 1-5 years, and ≥ 5 years were Escherichia coli (17.2%), Escherichia coli (14.0%), Escherichia coli (7.9%), Streptococcus pneumoniae (10.7%) ,and Staphylococcus aureus (13.6%), respectively. The overall prevalence of extended-spectrum β-lactamases-producing Enterobacteriaceae, carbapenem-resistant Klebsiella pneumoniae, carbapenem-resistant Acinetobacter baumannii, and carbapenem-resistant Pseudomonas aeruginosa were 41.4, 28.4, 31.7, and 5.6%, respectively. The overall prevalence of methicillin-resistant Staphylococcus aureus, penicillin-resistant Streptococcus pneumoniae and vancomycin-resistant Enterococcus was 38.1, 28.3, and 0.7%, respectively.

conclusionsThe major bacterial pathogens have differences in different age groups, ward types, and regions in Chinese children, and the commonest causing microorganism was the Escherichia coli, especially in neonates and infants. High prevalence of important resistant phenotypes is of a serious concern.

Indexed as

AdolescentBacteremiaBacteriaBacterial InfectionsChildChild, PreschoolChinaDrug Resistance, BacterialFemaleHumansInfantMaleAntimicrobial resistanceBloodstream infectionChildrenMicrobiology

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.