Evidence map›Paper›PMID 25936721›Full record

ArticleCritical care (London, England)2015

Acquisition of Pseudomonas aeruginosa and its resistance phenotypes in critically ill medical patients: role of colonization pressure and antibiotic exposure.

Nazaret Cobos-Trigueros, Mar Solé, Pedro Castro, Jorge Luis Torres, Cristina Hernández, Mariano Rinaudo, Sara Fernández, Álex Soriano, José María Nicolás, Josep Mensa and 2 more

Abstract read
In one paragraph

Article in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Risk factors for hospitalized patients with resistant or multidrug-resistantAntimicrobial resistance and infection control · 2018
    Pooled it
  2. Pooled it
  3. Article
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  9. Recommendations for antibiotic selection for severe nosocomial infections.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2021
    Article
  10. Emergence of non-susceptibility during persistentJAC-antimicrobial resistance · 2021
    Article
  11. Article
  12. Article
  13. Risk factors for acquisition of carbapenem-resistance during treatment with carbapenem in the intensive care unit: a prospective study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Observational
  14. Review
  15. Article
  16. Detection and Colonization of Multidrug Resistant Organisms in a Regional Teaching Hospital of Taiwan.International journal of environmental research and public health · 2019
    Article
  17. Article
  18. Article
  19. Influence of antibiotic pressure on multi-drug resistantAntimicrobial resistance and infection control · 2019
    Observational
  20. 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

12 authors.

Nazaret Cobos-TriguerosDepartment of Infectious Diseases, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. fncobos@clinic.ub.es.
Mar SoléISGlobal, Barcelona Center for International Health Research (CRESIB), Hospital Clínic, University of Barcelona, Barcelona, Spain. marsole04@gmail.com.
Pedro CastroMedical Intensive Care Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. pcastro@clinic.ub.es.
Jorge Luis TorresDepartment of Internal Medicine, University Hospital of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain. jltorrest@gmail.com.
Cristina HernándezMedical Intensive Care Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. chernan1@clinic.ub.es.
Mariano RinaudoMedical Intensive Care Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. marianorinaudo@gmail.com.
Sara FernándezMedical Intensive Care Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. sfernanm@clinic.ub.es.
Álex SorianoDepartment of Infectious Diseases, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. asoriano@clinic.ub.es.
José María NicolásMedical Intensive Care Unit, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. nicolas@clinic.ub.es.
Josep MensaDepartment of Infectious Diseases, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. jmensa@clinic.ub.es.
Jordi VilaISGlobal, Barcelona Center for International Health Research (CRESIB), Hospital Clínic, University of Barcelona, Barcelona, Spain. jvila@clinic.ub.es.
José Antonio MartínezDepartment of Infectious Diseases, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain. jamarti@clinic.ub.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this work was to investigate the risk factors for the acquisition of Pseudomonas aeruginosa and its resistance phenotypes in critically ill patients, taking into account colonization pressure.

methodsWe conducted a prospective cohort study in an 8-bed medical intensive care unit during a 35-month period. Nasopharyngeal and rectal swabs and respiratory secretions were obtained within 48 hours of admission and thrice weekly thereafter. During the study, a policy of consecutive mixing and cycling periods of three classes of antipseudomonal antibiotics was followed in the unit.

resultsOf 850 patients admitted for ≥ 3 days, 751 (88.3%) received an antibiotic, 562 of which (66.1%) were antipseudomonal antibiotics. A total of 68 patients (8%) carried P. aeruginosa upon admission, and among the remaining 782, 104 (13%) acquired at least one strain of P. aeruginosa during their stay. Multivariate analysis selected shock (odds ratio (OR) = 2.1; 95% confidence interval (CI), 1.2 to 3.7), intubation (OR = 3.6; 95% CI, 1.7 to 7.5), enteral nutrition (OR = 3.6; 95% CI, 1.8 to 7.6), parenteral nutrition (OR = 3.9; 95% CI, 1.6 to 9.6), tracheostomy (OR = 4.4; 95% CI, 2.3 to 8.3) and colonization pressure >0.43 (OR = 4; 95% CI, 1.2 to 5) as independently associated with the acquisition of P. aeruginosa, whereas exposure to fluoroquinolones for >3 days (OR = 0.4; 95% CI, 0.2 to 0.8) was protective. In the whole series, prior exposure to carbapenems was independently associated with carbapenem resistance, and prior amikacin use predicted piperacillin-tazobactam, fluoroquinolone and multiple-drug resistance.

conclusionsIn critical care settings with a high rate of antibiotic use, colonization pressure and non-antibiotic exposures may be the crucial factors for P. aeruginosa acquisition, whereas fluoroquinolones may actually decrease its likelihood. For the acquisition of strains resistant to piperacillin-tazobactam, fluoroquinolones and multiple drugs, exposure to amikacin may be more relevant than previously recognized.

Indexed as

Critical IllnessPhenotypeAdultAgedAnti-Bacterial AgentsCohort StudiesColony Count, MicrobialCritical CareDrug Resistance, Multiple, BacterialFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesPseudomonas aeruginosaAnti-Bacterial Agents

Identifiers

PMID25936721
PMCPMC4432505

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.