Control of an outbreak of multi-drug-resistant Acinetobacter baumannii in an intensive care unit and a surgical ward

Pimentel, Jason D.; Low, Jillian; Styles, Kaylene; Harris, Owen C.; Hughes, A.N.; Athan, Eugene

doi:10.1016/j.jhin.2004.09.021

Cited by 44 publications

(25 citation statements)

References 10 publications

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“…With the wide application of antibacterial drugs, bacterial drug resistance is sharply increasing and multi-drug resistant bacterial strains are evolving, causing great difficulties in clinical treatment. Hospital infections caused by A. baumannii are generally on the rise, and this is the main pathogen reported in some intensive care units (Pimentel et al, 2005). The infection rate of multi-drug resistant A. baumannii has drawn clinical attention (Oliveira and de Lencastre, 2002).…”

Section: Discussionmentioning

confidence: 99%

Drug resistance analysis of bacterial strains isolated from burn patients

Wang¹,

Li²,

Ma³

et al. 2014

Genet. Mol. Res.

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ABSTRACT.This study aimed to analyze the spectrum and drug resistance of bacteria isolated from burn patients to provide a reference for rational clinical use of antibiotics. Up to 1914 bacterial strain specimens isolated from burn patients admitted to hospital between 2001 and 2010 were subjected to resistance monitoring by using the K-B paper disk method. Retrospective analysis was performed on drug resistance analysis of burn patients. 9727-9734 (2014) resistance, respectively. Antibacterial drugs that had drug resistance rates to MRSE and MRSA higher than 90% accounted for 38.9 and 72.2%, respectively, whereas those with lower than 30% drug resistance rates accounted for 11.1 and 16.7%, respectively. The burn patients enrolled in the study were mainly infected with G -bacteria. These results strongly suggest that clinicians should practice rational use of antibiotics based on drug susceptibility test results.

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Section: Discussionmentioning

confidence: 99%

Drug resistance analysis of bacterial strains isolated from burn patients

Wang¹,

Li²,

Ma³

et al. 2014

Genet. Mol. Res.

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“…This risk of nosocomial infection is further escalated by the increasing prevalence of antibiotic-resistant pathogens such as methicillin (oxacillin)-resistant S. aureus (MRSA) and vancomycin-resistant Enterococci (VRE) among Gram-positive organisms, and multi-drug resistant (MDR) Pseudomonas aeruginosa and Acinetobacter among Gramnegative organisms. Especially, Acinetobacter baumannii is becoming a major hospital-acquired infection issue because it is often multi-drug resistant (Wang et al, 2003;Marais et al, 2004;Pimentel et al, 2005;Wilks et al, 2006;Apisarnthanarak et al, 2008). This contributes to the increase of morbidity and mortality.…”

Section: Introductionmentioning

confidence: 99%

Airborne and Surface-Bound Microbial Contamination in Two Intensive Care Units of a Medical Center in Central Taiwan

Huang

Shi

Chen

et al. 2013

Aerosol Air Qual. Res.

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Samples of airborne and surface-bound microbial contamination were taken in two intensive care units of a large-scale medical center. Microbial analyses included total bacterial and fungal loads, as well as the four bacterial species of Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa and Acinetobacter baumannii. Among the 114 surface samples taken from seven designated surface locations of room and equipment for each patient, P. aeruginosa was the most frequently detected (19.3%) and most abundant (mean count: 4.18 cfu/plate) bacterium, whereas the respirator represented the most heavily contaminated surface location in both total pathogenic bacteria colony counts (272 cfu) and frequency of positive detection (38.2%). P. aeruginosa also represented the most frequently detected (39.1%, n = 46) and abundant (11.52 ± 17.16 cfu/m 3 ) bacterium in the air samples (n = 46), and was the only bacterium exhibiting a positive correlation of the mean counts between air and surface samples. The data analysis results further suggested a higher value of relative risk among the infected patients in the presence of the pathogens as compared to those in the absence of them, although the evidence of a of correlation for the individual bacterial species between the environmental samples and infected patients was inconclusive. This study also found that the mean airborne counts and the detection frequencies of these bacteria after patient visitation periods were higher than those before visitation, and that the installation of local air ionizers did not lead to any discernible differences in total bacterial and fungal concentrations.

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“…The analysis of the molecular epidemiology and multidrug resistance of A. baumanni strains in the various parts of the world indicates a considerable degree of geographic diversity in the spread of various strains [23,24,25,26]. It's also demonstrated by multiple studies in Tunisia [20,21,27] and in France [28,29,30] that the multiresistance is common among A.baumannii giving nosocomial epidemics which were difficult to treat.…”

Section: Discussionmentioning

confidence: 99%