Literature DB >> 1588261

Patients at risk for inappropriate antibiotic treatment of bacteraemia.

L Leibovici1, H Konisberger, S D Pitlik, Z Samra, M Drucker.   

Abstract

In order to define patients at high risk for inappropriate antibiotic treatment of bacteraemia, we compared 682 bacteraemic patients, treated with an antibiotic drug to which the infecting micro-organism was susceptible, with 419 patients who were inappropriately treated. On a multivariate logistic regression analysis including only clinical variables, four factors were found to be both significantly and independently associated with inappropriate antibiotic treatment: hospital-acquired bacteraemia (odds-ratio (OR) of 1.9), antibiotic treatment in the month prior to the bacteraemia (OR 1.9), residence in a nursing home (OR 1.8), and the presence of a central line (OR 1.7). A second model, including bacteriological data, showed four micro-organisms to be independently associated with inappropriate antibiotic treatment: Candida sp. (OR 14.2), Acinetobacter sp. (OR 5.0), Enterococcus sp. (OR 3.6) and Pseudomonas sp. (OR 2.2). In this model, only two clinical features were included: hospital-acquired infection and previous antibiotic treatment. Special efforts should be made to improve empirical antibiotic treatment in the groups defined above, and to facilitate early laboratory diagnosis of the micro-organisms associated with inappropriate treatment.

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Year:  1992        PMID: 1588261     DOI: 10.1111/j.1365-2796.1992.tb00946.x

Source DB:  PubMed          Journal:  J Intern Med        ISSN: 0954-6820            Impact factor:   8.989


  8 in total

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2.  Secular trends in the appropriateness of empirical antibiotic treatment in patients with bacteremia: a comparison between three prospective cohorts.

Authors:  Vered Daitch; Yulia Akayzen; Yasmin Abu-Ghanem; Noa Eliakim-Raz; Mical Paul; Leonard Leibovici; Dafna Yahav
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-01-20       Impact factor: 3.267

3.  Assessing antibacterial pharmacoeconomics in the intensive care unit.

Authors:  M C Birmingham; J M Hassett; J J Schentag; J A Paladino
Journal:  Pharmacoeconomics       Date:  1997-12       Impact factor: 4.981

4.  Existing data sources for clinical epidemiology: The North Denmark Bacteremia Research Database.

Authors:  Henrik C Schønheyder; Mette Søgaard
Journal:  Clin Epidemiol       Date:  2010-08-09       Impact factor: 4.790

5.  Factors associated with increased risk in inappropriate empiric antibiotic treatment of childhood bacteraemia.

Authors:  S Ashkenazi; Z Samra; H Konisberger; M M Drucker; L Leibovici
Journal:  Eur J Pediatr       Date:  1996-07       Impact factor: 3.183

6.  Bacterial susceptibility patterns in patients with spinal cord injury and disorder (SCI/D): an opportunity for customized stewardship tools.

Authors:  K J Suda; U C Patel; R Sabzwari; L Cao; S Ramanathan; J N Hill; C T Evans
Journal:  Spinal Cord       Date:  2016-03-22       Impact factor: 2.772

7.  Delays in appropriate antibiotic therapy for gram-negative bloodstream infections: a multicenter, community hospital study.

Authors:  Rebekah W Moehring; Richard Sloane; Luke F Chen; Emily C Smathers; Kenneth E Schmader; Vance G Fowler; David J Weber; Daniel J Sexton; Deverick J Anderson
Journal:  PLoS One       Date:  2013-10-03       Impact factor: 3.240

8.  Prevalence, clinical features, and outcome of pseudomonas bacteremia in under-five diarrheal children in bangladesh.

Authors:  Farhana Akram; Mark A C Pietroni; Pradip Kumar Bardhan; Samira Bibi; Mohammod Jobayer Chisti
Journal:  ISRN Microbiol       Date:  2014-03-09
  8 in total

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