Evidence map›Paper›PMID 32381015›Full record

ArticleAnnals of clinical microbiology and antimicrobials2020

Characterisation of antibiotic resistance, virulence, clonality and mortality in MRSA and MSSA bloodstream infections at a tertiary-level hospital in Hungary: a 6-year retrospective study.

Andrea Horváth, Orsolya Dobay, Judit Sahin-Tóth, Emese Juhász, Júlia Pongrácz, Miklós Iván, Enikő Fazakas, Katalin Kristóf

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 15% 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Global prevalence of macrolide-resistantFrontiers in microbiology · 2025
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  9. Frontiers in microbiology · 2025
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  11. Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2024
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  15. Spectrum of Virulence Factors in Clinical Isolates ofJournal of laboratory physicians · 2023
    Article
  16. Article
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  19. Isolation and screening ofIranian journal of microbiology · 2023
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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.

Andrea HorváthInstitute of Medical Microbiology, Semmelweis University, Nagyvárad tér 4, 1089, Budapest, Hungary. horvath.andrea1@med.semmelweis-univ.hu.ORCID http://orcid.org/0000-0003-4208-3417
Orsolya DobayInstitute of Medical Microbiology, Semmelweis University, Nagyvárad tér 4, 1089, Budapest, Hungary.
Judit Sahin-TóthInstitute of Medical Microbiology, Semmelweis University, Nagyvárad tér 4, 1089, Budapest, Hungary.
Emese JuhászInstitute of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Júlia PongráczInstitute of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Miklós IvánInstitute of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Enikő FazakasInstitute of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Katalin KristófInstitute of Laboratory Medicine, Semmelweis University, Budapest, Hungary.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStaphylococcus aureus bloodstream infections (BSI) cause significant morbidity and mortality due to the frequent antibiotic resistance, toxin and adhesin production of the bacterium. These characteristics differ significantly in methicillin resistant (MRSA) and methicillin sensitive S. aureus (MSSA) and also among isolates of different MRSA clones, contributing to the outcome of S. aureus bacteraemia.

methodsIn this study, all MRSA BSI isolates from Semmelweis University, Budapest, Hungary, isolated between 2011-2016 and the same number of matched MSSA (overall 306 isolates) were characterised in terms of antibiotic susceptibility, virulence genes, clonality and their association with all-cause 30-day mortality. Effect of patient related variables, such as age, gender and comorbidities were also investigated.

resultsST22-MRSA-IV and ST5-MRSA-II were the most prevalent clones in our study. SCCmec I isolates showed the highest resistance rates and SCCmec II carried most virulence genes. Infections caused by SCCmec IV isolates were associated with the highest mortality rate (42.2%), despite the similar comorbidity rates of the different patient groups. All-cause 30-day mortality was 39.9% in the MRSA and 30.7% in the MSSA group. Increased teicoplanin MIC was associated with high mortality rate. Resistance to ciprofloxacin, erythromycin and clindamycin was common in MRSA, whereas MSSA isolates were more sensitive to all antibiotics with the exception of doxycycline. All MRSA isolates were sensitive to glycopeptides and linezolid; resistance to rifampicin and sulfamethoxazole-trimethoprim was low. MRSA isolates carried more adhesion genes, superantigens were more frequent in MSSA. Panton-Valentine leukocidin was found in 2.3% of the isolates.

conclusionThis study provides insight into the clonal composition and associated mortality of BSI S. aureus isolates in Hungary. The results suggest that the outcome of the infection is determined by the antibiotic resistance, genotype of the bacterium, and patient-related factors; rather than the virulence factors carried by the bacteria.

Indexed as

Drug Resistance, Multiple, BacterialAdolescentAdultAgedAged, 80 and overBacteremiaChildChild, PreschoolFemaleGenotypeHumansHungaryInfantInfant, NewbornMaleMethicillin ResistanceVirulence FactorsBloodstream infectionClonalityMRSAMSSAStaphylococcus aureus

Identifiers

PMID32381015
PMCPMC7206755
OpenAlexW3023262091

What OpenQuestion holds

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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.