Evidence map›Paper›PMID 23549524›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2013

Clustering of antimicrobial resistance outbreaks across bacterial species in the intensive care unit.

Anne L M Vlek, Ben S Cooper, Theodore Kypraios, Andy Cox, Jonathan D Edgeworth, Olga Tosas Auguet

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Use of WHONET-SaTScan system for simulated real-time detection of antimicrobial resistance clusters in a hospital in Italy, 2012 to 2014.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017
    Article
  7. Article
  8. Article
  9. Article
  10. Journal roundup.The Journal of hospital infection · 2014
    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

6 authors.

Anne L M VlekCentre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, King's College London and Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom. a.vlek@umcutrecht.nl
Ben S Cooper
Theodore Kypraios
Andy Cox
Jonathan D Edgeworth
Olga Tosas Auguet

Funding

Department of HealthWellcome Trust 089275
6 · The paper itself

Abstract

backgroundThere are frequent reports of intensive care unit (ICU) outbreaks due to transmission of particular antibiotic-resistant bacteria. Less is known about the burden of outbreaks of resistance due to horizontal transfer of mobile genetic elements between species. Moreover, the potential of existing statistical software as a preliminary means for detecting such events has never been assessed. This study uses a software package to determine the burden of species and resistance outbreaks in 2 adjacent ICUs and to look for evidence of clustering of resistance outbreaks consistent with interspecies transmission of resistance elements.

methodsA retrospective analysis of data from 2 adjacent 15-bed adult ICUs between 2002 and 2009 was undertaken. Detection of bacterial species-groups and resistance outbreaks was conducted using SaTScan and WHONet-SaTScan software. Resampling and permutation methods were applied to investigate temporal clustering of outbreaks.

resultsOutbreaks occurred for 69% of bacterial species-groups (18/26), and resistance outbreaks were detected against 63% of antibiotics (10/16). Resistance outbreaks against 7 of 10 antibiotics were observed in multiple species-groups simultaneously and there was evidence of inter-species-group dependence for 4 of 7 antibiotics; background temporal changes in resistance did not explain the temporal aggregation of outbreaks in 3 of 7 antibiotics.

conclusionsSpecies outbreaks occurred for the majority of bacteria commonly identified in the ICU. There was evidence for frequent temporal clustering of resistance outbreaks consistent with interspecies transmission of resistance elements. Wider application of outbreak detection software combined with targeted sequencing of bacterial genomes is needed to understand the contribution of interspecies gene transfer to resistance emergence.

Indexed as

Disease OutbreaksDrug Resistance, BacterialAdultBacteriaBacterial InfectionsCluster AnalysisComputational BiologyCross InfectionHumansIntensive Care UnitsMicrobial Sensitivity TestsRetrospective StudiesSoftwareantibiotic resistanceintensive care unitoutbreaks

Identifiers

PMID23549524
PMCPMC3669527

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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.