Evidence map›Paper›PMID 25814495›Full record

ArticleBMJ open2015

Turning the tide or riding the waves? Impacts of antibiotic stewardship and infection control on MRSA strain dynamics in a Scottish region over 16 years: non-linear time series analysis.

Timothy Lawes, José-María López-Lozano, César Nebot, Gillian Macartney, Rashmi Subbarao-Sharma, Ceri R J Dare, Giles F S Edwards, Ian M Gould

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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

29 citing papers in PubMed.

  1. The fitness connection of antibiotic resistance.Frontiers in microbiology · 2025
    Article
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  4. Observational
  5. Review
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  7. Article
  8. Article
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  11. The Role of Uniform Meropenem Usage inAntibiotics (Basel, Switzerland) · 2021
    Article
  12. A case study onJAC-antimicrobial resistance · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Time for biocide stewardship?Nature microbiology · 2019
    Article
  18. Article
  19. Article
  20. Prospective genomic surveillance of methicillin-resistantEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Observational
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.

Timothy LawesDepartment of Paediatrics, Royal Aberdeen Children's Hospital, Aberdeen, UK.
José-María López-LozanoMedicine Preventive-Infection Control Team, Hospital Vega Baja, Orihuela-Alicante, Spain.
César NebotCentro Universitario de la Defensa (CUD) de San Javier, Murcia, Murcia, Spain.
Gillian MacartneyPharmacy Department, Aberdeen Royal Infirmary, Aberdeen, UK.
Rashmi Subbarao-SharmaPharmacy Department, Aberdeen Royal Infirmary, Aberdeen, UK.
Ceri R J DareMedical Microbiology Department, Aberdeen Royal Infirmary, Aberdeen, UK.
Giles F S EdwardsScottish MRSA Reference Laboratory, Glasgow, UK.
Ian M GouldMedical Microbiology Department, Aberdeen Royal Infirmary, Aberdeen, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore temporal associations between planned antibiotic stewardship and infection control interventions and the molecular epidemiology of methicillin-resistant Staphylococcus aureus (MRSA).

designRetrospective ecological study and time-series analysis integrating typing data from the Scottish MRSA reference laboratory.

settingRegional hospital and primary care in a Scottish Health Board.

participantsGeneral adult (N=1,051,993) or intensive care (18,235) admissions and primary care registrations (460,000 inhabitants) between January 1997 and December 2012.

interventionsHand-hygiene campaign; MRSA admission screening; antibiotic stewardship limiting use of macrolides and '4Cs' (cephalosporins, coamoxiclav, clindamycin and fluoroquinolones). OUTCOME MEASURES: Prevalence density of MRSA clonal complexes CC22, CC30 and CC5/Other in hospital (isolates/1000 occupied bed days, OBDs) and community (isolates/10,000 inhabitant-days).

results67% of all clinical MRSA isolates (10,707/15,947) were typed. Regional MRSA population structure was dominated by hospital epidemic strains CC30, CC22 and CC45. Following declines in overall MRSA prevalence density, CC5 and other strains of community origin became increasingly important. Reductions in use of '4Cs' and macrolides anticipated declines in sublineages with higher levels of associated resistances. In multivariate time-series models (R(2)=0.63-0.94) introduction of the hand-hygiene campaign, reductions in mean length of stay (when >4 days) and bed occupancy (when >74 to 78%) predicted declines in CC22 and CC30, but not CC5/other strains. Lower importation pressures, expanded MRSA admission screening, and reductions in macrolide and third generation cephalosporin use (thresholds for association: 135-141, and 48-81 defined daily doses/1000 OBDs, respectively) were followed by declines in all clonal complexes. Strain-specific associations with fluoroquinolones and clindamycin reflected resistance phenotypes of clonal complexes.

conclusionsInfection control measures and changes in population antibiotic use were important predictors of MRSA strain dynamics in our region. Strategies to control MRSA should consider thresholds for effects and strain-specific impacts.

Indexed as

Drug ResistanceHand HygieneLength of StayMethicillin-Resistant Staphylococcus aureusAdultAnti-Bacterial AgentsBacterial Typing TechniquesCephalosporinsCross InfectionHumansInfection ControlMacrolidesMass ScreeningMicrobial Sensitivity TestsMolecular EpidemiologyPrevalenceAnti-Bacterial AgentsCephalosporinsMacrolidesMICROBIOLOGYSTATISTICS & RESEARCH METHODS

Identifiers

PMID25814495
PMCPMC4386222

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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.