Evidence map›Paper›PMID 19625476›Full record

ArticleJournal of clinical microbiology2009

Variable-number tandem repeat analysis and multilocus sequence typing data confirm the epidemiological changes observed with Staphylococcus aureus strains isolated from bloodstream infections.

Nathalie van der Mee-Marquet, Patrice François, Anne-Sophie Domelier, Laurence Arnault, Nicole Girard, Jacques Schrenzel, Roland Quentin, Bloodstream Infection Study Group of the Réseau des Hygiénistes du Centre

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Article in Journal of clinical microbiology, 2009. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nathalie van der Mee-MarquetLaboratoire de Bactériologie et Hygiène, Hôpital Trousseau, 37044 Tours cedex, France. n.vandermee@chu-tours.fr
Patrice François
Anne-Sophie Domelier
Laurence Arnault
Nicole Girard
Jacques Schrenzel
Roland Quentin
Bloodstream Infection Study Group of the Réseau des Hygiénistes du Centre

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2000, our geographical region in France systematically surveys bloodstream infections (BSI) due to Staphylococcus aureus. This survey involves 39 health care institutions (HCIs) encompassing 6,888 short-stay beds and was performed during two 3-month periods during 2007 and 2008. The study periods of this survey identified 292 S. aureus isolates causing BSI. Extensive molecular characterization, including genotyping as well as toxin, agr, and staphylococcal cassette chromosome content determinations, allowed us to describe epidemiological evolution in comparison to that discussed in our previous study. Our main epidemiological observation shows that the incidence of BSI remained constant but that methicillin (meticillin)-resistant S. aureus strains with a wider variety of genetic backgrounds now harbor pyl, as has already been reported in different European countries. We noticed stable numbers of BSI episodes involving community-acquired methicillin-sensitive S. aureus (MSSA), whereas a drastic increase in the number of strains harboring the tst gene was recorded. The increase in the number of tst gene-harboring strains is related to known hospital-acquired MSSA isolates and appears related to epidemic episodes in specific HCIs. Monitoring the increase in prevalence of specific strains helps us understand where the standard precautions are not satisfactorily applied or do not efficiently prevent the spread of epidemic MSSA strains in these HCIs. The recent increases in incidence of these strains call for particular vigilance to avoid the spread of potentially virulent MSSA strains harboring the tst gene and for continuance of this strategy of BSI surveillance.

Indexed as

AgedBacteremiaBacterial ToxinsBacterial Typing TechniquesCluster AnalysisDNA, BacterialDNA FingerprintingFemaleFranceGenotypeHealth FacilitiesHumansIncidenceMaleMinisatellite RepeatsPrevalenceBacterial ToxinsDNA, BacterialVirulence Factors

Identifiers

PMID19625476
PMCPMC2738085

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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.