Evidence map›Paper›PMID 37993871›Full record

ArticleAnnals of clinical microbiology and antimicrobials2023

Clinical and molecular characteristics of methicillin-resistant Staphylococcus aureus in bone and joint infection among children.

Pan Fu, Yaxier Nijiati, Tingting Li, Xia Wu, Zixuan Wang, Jinlan Zhou, Chuanqing Wang, Bo Ning

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Pan Fu *Department of Clinical Microbiology Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China.
Yaxier Nijiati *Orthopedics Department, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China.
Tingting Li *Department of Clinical Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Xia WuDepartment of Infectious Diseases, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Zixuan WangDepartment of Infectious Diseases, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Jinlan ZhouPediatric Intensive Care Unit, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Chuanqing WangDepartment of Clinical Microbiology Laboratory, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China. chuanqing523@163.com.
Bo NingOrthopedics Department, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Road, Shanghai, 201102, China. ningbo22776@aliyun.com.
Children's Hospital of Fudan University · CN

Funding

the National Natural Science Foundation of China (NSFC) 82202567the Science and Technology Commission of Shanghai Municipality (CN) No.20Y11912900 and 22Y11912200
6 · The paper itself

Abstract

objectiveTo investigate the characteristics of Methicillin-Resistant Staphylococcus aureus (MRSA) in bone and joint infection (BJI) among children.

methodsA total of 338 patients diagnosed with BJI from 2013 to 2022 in Children's Hospital of Fudan University were enrolled. Demographic information, microbiology culture results and laboratory findings, including white blood counts (WBC), C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6), and erythrocyte sedimentation rate (ESR) were collected and analyzed. MRSA was confirmed by antimicrobial susceptibility testing. Other MRSA-caused infections were randomly selected for comparison. Twenty-three virulence and antimicrobial resistance (AMR) genes were screened for MRSA strains. Multilocus sequence typing (MLST) and Staphylococcal protein A (spa) typing were performed using PCR amplification and sequencing.

resultsOf the identified pathogens in BJI, MRSA accounted for 21.0% (47/224). Patients with BJI had high levels of initial CRP, white blood cell count (WBC) and IL-6. ST59 (43.9%) and t437 (37.6%) were the main MRSA subtypes isolated from the children. The major genotypes in BJI were ST59-t437 (29.8%) and ST22-t309 (14.9%), with high carriage of hemolysins including hla (94.4-100%), hlb (66.2-93.3%), and hld (100%). Notably, Panton-Valentine leukocidin (pvl) had a high prevalence (53.3%) in ST22-t309-MRSA. Other virulence genes including tst, seg and sei were more commonly detected in ST22-t309-MRSA (40.0-46.7%) than in ST59-t437-MRSA (4.2-9.9%). High-carriage AMR genes in MRSA included aph(3')/III (66.7-80%), ermB (57.5-73.3%) and ermC (66.7-78.9%). MRSA presented high-resistance to erythromycin (52.0-100%) and clindamycin (48.0-92.5%), different genotypes displayed variation in their susceptibilities to antibiotics.

conclusionsThe major MRSA genotype in BJI was ST59-t437, followed by ST22-t309, with a higher prevalence of the pvl gene. Continuous surveillance of pvl-positive ST22-t309-MRSA in pediatric BJI infections is thus required.

Indexed as

Methicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsChildHumansInterleukin-6Microbial Sensitivity TestsMultilocus Sequence TypingAnti-Bacterial AgentsInterleukin-6Bone and joint infectionChildrenMethicillin-resistant Staphylococcus aureusPanton–Valentine leukocidinVirulence

Identifiers

PMID37993871
PMCPMC10666310
OpenAlexW4388899380

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.