Literature DB >> 21181012

Antimicrobial use and incidence of multidrug-resistant Pseudomonas aeruginosa in a teaching hospital: an ecological approach.

Mariana Tresoldi das Neves1, Mariana Eliza Pinto de Lorenzo, Ricardo Augusto Monteiro Barros Almeida, Carlos Magno Castelo Branco Fortaleza.   

Abstract

INTRODUCTION: Multidrug-resistant Pseudomonas aeruginosa is a major threat in healthcare settings. The use of antimicrobials can influence the incidence of resistant strains by direct and indirect mechanisms. The latter can be addressed by ecological studies.
METHODS: Our group attempted to analyze the relation between the use of antipseudomonal drugs and the incidence of MDR-PA among 18 units from a 400-bed teaching hospital. The study had a retrospective, ecological design, comprising data from 2004 and 2005. Data on the use of four antimicrobials (amikacin, ciprofloxacin, ceftazidime and imipenem) were tested for correlation with the incidence of MDR-PA (defined as isolates resistant to the four antimicrobials of interest) in clinical cultures. Univariate and multivariate linear regression analyses were performed.
RESULTS: Significant correlations were determined between use and resistance for all antimicrobials in the univariate analysis: amikacin (standardized correlation coefficient = 0.73, p = 0.001); ciprofloxacin (0.71, p = 0.001); ceftazidime (0.61, p = 0.007) and imipenem (0.87, p < 0.001). In multivariate analysis, only imipenem (0.67, p = 0.01) was independently related to the incidence of multidrug-resistant strains.
CONCLUSIONS: These findings share similarities with those reported in individual-based observational studies, with possible implications for infection control.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21181012     DOI: 10.1590/s0037-86822010000600005

Source DB:  PubMed          Journal:  Rev Soc Bras Med Trop        ISSN: 0037-8682            Impact factor:   1.581


  4 in total

1.  Pseudomonas aeruginosa in the ICU: prevalence, resistance profile, and antimicrobial consumption.

Authors:  Ághata Cardoso da Silva Ribeiro; Márcia Terezinha Lonardoni Crozatti; Adilson Aderito da Silva; Rodrigo Spineli Macedo; Antonia Maria de Oliveira Machado; Antonio Távora de Albuquerque Silva
Journal:  Rev Soc Bras Med Trop       Date:  2019-12-20       Impact factor: 1.581

2.  Bacteriophage-Based Biosensing of Pseudomonas aeruginosa: An Integrated Approach for the Putative Real-Time Detection of Multi-Drug-Resistant Strains.

Authors:  Liliam K Harada; Waldemar Bonventi Júnior; Erica C Silva; Thais J Oliveira; Fernanda C Moreli; José M Oliveira Júnior; Matthieu Tubino; Marta M D C Vila; Victor M Balcão
Journal:  Biosensors (Basel)       Date:  2021-04-15

3.  Correlation between Carbapenem Consumption and Carbapenems Susceptibility Profiles of Acinetobacter baumannii and Pseudomonas aeruginosa in an Academic Medical Center in Thailand.

Authors:  Taniya Paiboonvong; Phatchareeporn Tedtaisong; Preecha Montakantikul; Sarun Gorsanan; Woraphot Tantisiriwat
Journal:  Antibiotics (Basel)       Date:  2022-01-23

4.  Pseudomonas infections among hospitalized adults in Latin America: a systematic review and meta-analysis.

Authors:  Alfredo Ponce de Leon; Sanjay Merchant; Gowri Raman; Esther Avendano; Jeffrey Chan; Griselda Tepichin Hernandez; Eric Sarpong
Journal:  BMC Infect Dis       Date:  2020-03-27       Impact factor: 3.090

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.