Literature DB >> 17850877

Use of different thresholds of prior antimicrobial use in defining exposure: impact on the association between antimicrobial use and antimicrobial resistance.

Emily P Hyle1, Leanne B Gasink, Darren R Linkin, Warren B Bilker, Ebbing Lautenbach.   

Abstract

OBJECTIVES: Although many studies have explored the association between antimicrobial use and antimicrobial resistance, definitions of "exposure" (i.e., prior antimicrobial use) differ across such studies. Specifically, it has been noted that some studies define "exposure" as any antimicrobial use, while others require the administration of at least 24 or 48 h of an antimicrobial to constitute "exposure." The impact of different definitions of exposure on final study results is unknown. We conducted the current study to determine the impact of varying the minimum threshold of prior antimicrobial use to define exposure status in studies of antimicrobial resistance.
METHODS: We used a dataset from a prior study of risk factors for fluoroquinolone (FQ) resistant Pseudomonas aeruginosa (FQRPA) to address the study aim. Four separate multivariable models of risk factors for FQRPA were built. Each model defined a different threshold for the duration of antimicrobial administration to determine "exposure" to that antimicrobial: (1) no threshold (i.e., a subject is considered exposed if any use of the antimicrobial was documented); (2) >24 h of use of the antimicrobial is necessary to be considered exposed; (3) >48 h of use is required; and (4) >72 h of use is required. Except for these definitions, the four multivariable models were built in exactly the same way, each using prior FQ use as the primary risk factor of interest.
RESULTS: Among 872 P. aeruginosa isolates included in the original dataset, 332 (38.2%) were FQ-resistant. Each of the four multivariable models identified prior FQ use as an independent risk factor for FQRPA. However, as increasingly strict thresholds were used, the association between FQ use and FQRPA increased. Furthermore, prior use of an agent with activity against anaerobic bacteria was associated with FQRPA in models 2, 3 and 4, but not in model 1.
CONCLUSIONS: The use of different thresholds to define prior "exposure" to antimicrobials altered the associations between antimicrobial use and resistance. Stricter thresholds resulted in a higher estimate of the association between antimicrobial use and resistance. Furthermore, different risk factors may be identified depending on how exposure is defined. Greater attention to this issue is necessary to optimize identification of modifiable risk factors for resistance as well as accurately compare results across studies.

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Year:  2007        PMID: 17850877     DOI: 10.1016/j.jinf.2007.07.005

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


  6 in total

1.  Relationship between various definitions of prior antibiotic exposure and piperacillin-tazobactam resistance among patients with respiratory tract infections caused by Pseudomonas aeruginosa.

Authors:  Nimish Patel; Louise-Anne McNutt; Thomas P Lodise
Journal:  Antimicrob Agents Chemother       Date:  2008-06-02       Impact factor: 5.191

Review 2.  Epidemiological interpretation of studies examining the effect of antibiotic usage on resistance.

Authors:  Vered Schechner; Elizabeth Temkin; Stephan Harbarth; Yehuda Carmeli; Mitchell J Schwaber
Journal:  Clin Microbiol Rev       Date:  2013-04       Impact factor: 26.132

3.  The quick loss of carbapenem susceptibility in Pseudomonas aeruginosa at intensive care units.

Authors:  Yamin Zou; Jiangping Lian; Ying Di; Haisheng You; Hongping Yao; Junhui Liu; Yalin Dong
Journal:  Int J Clin Pharm       Date:  2017-11-14

4.  Carbapenem MICs in Escherichia coli and Klebsiella Species Producing Extended-Spectrum β-Lactamases in Critical Care Patients from 2001 to 2009.

Authors:  J Kristie Johnson; Gwen L Robinson; Lisa L Pineles; Adebola O Ajao; LiCheng Zhao; Jennifer S Albrecht; Anthony D Harris; Kerri A Thom; Jon P Furuno
Journal:  Antimicrob Agents Chemother       Date:  2017-03-24       Impact factor: 5.191

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

Authors:  Nazaret Cobos-Trigueros; Mar Solé; Pedro Castro; Jorge Luis Torres; Cristina Hernández; Mariano Rinaudo; Sara Fernández; Álex Soriano; José María Nicolás; Josep Mensa; Jordi Vila; José Antonio Martínez
Journal:  Crit Care       Date:  2015-05-04       Impact factor: 9.097

6.  Carbapenem Resistant Pseudomonas aeruginosa Infections in Elderly Patients: Antimicrobial Resistance Profiles, Risk Factors and Impact on Clinical Outcomes.

Authors:  Jie Qin; Chengyun Zou; Jianmin Tao; Tian Wei; Li Yan; Yufei Zhang; Haiying Wang
Journal:  Infect Drug Resist       Date:  2022-04-29       Impact factor: 4.177

  6 in total

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