919 resultados para Antimicrobial resistance
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Nocardia spp. infections can cause severe damage to the mammary gland due to suppurative pyogranulomatous lesions and lack of clinical cure in response to conventional antimicrobial therapy. Although Nocardia infections are considered relatively uncommon in cows, there has been an apparent worldwide increase in the incidence of bovine mastitis caused by Nocardia spp, perhaps due to environmental transmission of this ubiquitous pathogen. The objectives of present study were to determine: (i) species distribution of 80 Nocardia isolates involved in bovine mastitis (based on molecular methods); and (ii) antimicrobial susceptibility pattern of all isolates from three geographical areas in Brazil. In this study, Nocardia nova (80%) was the most frequently isolated species, followed by Nocardia farcinica (9%). Additionally, Nocardia puris, Nocardia cyriacigeorgica, Nocardia veterana, Nocardia africana, and Nocardia arthritidis were detected using 16S rRNA sequencing. This is apparently the first report of N. puris, N. veterana, N. cyriacigeorgica, N. arthritidis and N. africana in association with bovine mastitis. Based on the disk diffusion test, isolates were most frequently resistant to cloxacillin (75%), ampicillin (55%) and cefoperazone (47%), whereas few Nocardia spp. were resistant to amikacin, cefuroxime or gentamicin. © 2013 Elsevier B.V. All rights reserved.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Background: Most clinical cases of osteomyelitis in dogs involve infectious agents, especially bacteria and fungi. The characterization of these microorganisms may aid in the prevention and treatment of disease.Objective: The aim of this study was to evaluate retrospectively microbiological cultures and in vitro antimicrobial susceptibility profile of isolates from 52 cases of bacterial osteomyelitis in long bones of dogs over 2000-2013. In 78% of the cases injuries were caused by a motor vehicle accident, but there were a few cases of dog bites (17%) and ascending infection due to pododermatitis (5%).Animals and methods: The isolated microorganisms were identified based on conventional phenotypic methods. In vitro disk diffusion test was performed using 30 different antimicrobials.Results: The isolates were obtained from femur (28%), humerus (16%), tibia (31%), and radius/ulna (25%). Among 52 cases, culture was positive in 88% of cases. Thirteen genus of different species of microorganisms were isolated. The most common microorganisms isolated were Staphylococcus spp. and Escherichia coli followed by Streptococcus spp., enteric bacteria, Corynebacterium sp. and anaerobic bacteria. In 42% of cases cultures were mixed. The most effective drugs against isolated bacteria were amoxicillin and clavulanate potassium (79%) followed by ceftriaxone (69%). High-resistance rates were documented against azithromycin (80%), penicillin (59%), and clindamycin (59%).Conclusions: The present study highlights diverse etiologic agents in cases of infectious bacterial osteomyelitis, with predominance of Staphylococcus genus, and reinforces the importance of obtaining cultures and susceptibility profiles given the high rates of antimicrobial resistance.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The introduction of more efficient diagnostic methods, new techniques in surgery and transplantation, antibiotics and chemotherapeutics more potent and novel materials for prostheses, catheters and probes significantly increased the life expectancy and quality of life of critically ill patients, on the other hand, hospital-acquired infections emerged as important iatrogenic complications. Invasive infections are a growing problem in public health hospitals in Brazil and worldwide. Among the various etiological agents found in the hospital environment, the genus Candida has been the third most frequently isolated pathogen. In general, invasive fungal infections are associated with high morbidity and mortality, difficulties in diagnosis, antimicrobial resistance, length of hospital stay and increased hospital costs. This mini review of the literature describes about epidemiology of hospital infection of Candida species, as well as its virulence factors and drugs resistance
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Reports about acquired resistance to colistin in different bacteria species are increasing, including E. coli of animal origin, but reports of resistance in wild S. enterica of different serotypes from swine are not found in the literature. Results obtained with one hundred and twenty-six E. coli strains from diseased swine and one hundred and twenty-four S. enterica strains from diseased and carrier swine showed a frequency of 6.3% and 21% of colistin-resistant strains, respectively. When comparing the disk diffusion test with the agar dilution test to evaluate the strains, it was confirmed that the disk diffusion test is not recommended to evaluate colistin resistance as described previously. The colistin MIC 90 and MIC 50 values obtained to E. coli were 0.25 mu g/mL and 0.5 mu g/mL, the MIC 90 and MIC 50 to S. enterica were 1 mu g/mL and 8 mu g/mL. Considering the importance of colistin in control of nosocomial human infections with Gram-negative multiresistant bacteria, and the large use of this drug in animal production, the colistin resistance prevalence in enterobacteriaceae of animal origin must be monitored more closely.
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The outer membrane protein M35 of Moraxella catarrhalis is an antigenically conserved porin. Knocking out M35 significantly increases the MICs of aminopenicillins. The aim of this study was to determine the biological mechanism of this potentially new antimicrobial resistance mechanism of M. catarrhalis and the behaviour of M35 in general stress situations.
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Data on antimicrobial use play a key role in the development of policies for the containment of antimicrobial resistance. On-farm data could provide a detailed overview of the antimicrobial use, but technical and methodological aspects of data collection and interpretation, as well as data quality need to be further assessed. The aims of this study were (1) to quantify antimicrobial use in the study population using different units of measurement and contrast the results obtained, (2) to evaluate data quality of farm records on antimicrobial use, and (3) to compare data quality of different recording systems. During 1 year, data on antimicrobial use were collected from 97 dairy farms. Antimicrobial consumption was quantified using: (1) the incidence density of antimicrobial treatments; (2) the weight of active substance; (3) the used daily dose and (4) the used course dose for antimicrobials for intestinal, intrauterine and systemic use; and (5) the used unit dose, for antimicrobials for intramammary use. Data quality was evaluated by describing completeness and accuracy of the recorded information, and by comparing farmers' and veterinarians' records. Relative consumption of antimicrobials depended on the unit of measurement: used doses reflected the treatment intensity better than weight of active substance. The use of antimicrobials classified as high priority was low, although under- and overdosing were frequently observed. Electronic recording systems allowed better traceability of the animals treated. Recording drug name or dosage often resulted in incomplete or inaccurate information. Veterinarians tended to record more drugs than farmers. The integration of veterinarian and farm data would improve data quality.
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Antimicrobial resistance among respiratory tract pathogens has become an increasing problem worldwide during the last 10-20 years. The wide use of antimicrobial agents in ambulatory practice has contributed to the emergence and spread of antibiotic-resistant bacteria in the community, namely Streptococcus pneumoniae, Haemophilus influenzae and Moraxella catarrhalis. The pneumococcus has developed resistance to most antibiotics used for its treatment. Classes with important resistance problems include the beta-lactams, the macrolides, the lincosamides, trimethoprim-sulfamethoxazole, and the tetracyclines. Unfortunately, resistance to more than one class of antibiotics is common. In Haemophilus influenzae and Moraxella catarrhalis, resistance to beta-lactam antibiotics is the main concern currently. It is important to know the local resistance pattern of the most common respiratory tract pathogens in order to make reasonable recommendations for an empirical therapy for respiratory tract infection, when antibiotic therapy is indeed indicated.
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A disposable microarray was developed for detection of up to 90 antibiotic resistance genes in gram-positive bacteria by hybridization. Each antibiotic resistance gene is represented by two specific oligonucleotides chosen from consensus sequences of gene families, except for nine genes for which only one specific oligonucleotide could be developed. A total of 137 oligonucleotides (26 to 33 nucleotides in length with similar physicochemical parameters) were spotted onto the microarray. The microarrays (ArrayTubes) were hybridized with 36 strains carrying specific antibiotic resistance genes that allowed testing of the sensitivity and specificity of 125 oligonucleotides. Among these were well-characterized multidrug-resistant strains of Enterococcus faecalis, Enterococcus faecium, and Lactococcus lactis and an avirulent strain of Bacillus anthracis harboring the broad-host-range resistance plasmid pRE25. Analysis of two multidrug-resistant field strains allowed the detection of 12 different antibiotic resistance genes in a Staphylococcus haemolyticus strain isolated from mastitis milk and 6 resistance genes in a Clostridium perfringens strain isolated from a calf. In both cases, the microarray genotyping corresponded to the phenotype of the strains. The ArrayTube platform presents the advantage of rapidly screening bacteria for the presence of antibiotic resistance genes known in gram-positive bacteria. This technology has a large potential for applications in basic research, food safety, and surveillance programs for antimicrobial resistance.
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A rapid and simple DNA labeling system has been developed for disposable microarrays and has been validated for the detection of 117 antibiotic resistance genes abundant in Gram-positive bacteria. The DNA was fragmented and amplified using phi-29 polymerase and random primers with linkers. Labeling and further amplification were then performed by classic PCR amplification using biotinylated primers specific for the linkers. The microarray developed by Perreten et al. (Perreten, V., Vorlet-Fawer, L., Slickers, P., Ehricht, R., Kuhnert, P., Frey, J., 2005. Microarray-based detection of 90 antibiotic resistance genes of gram-positive bacteria. J.Clin.Microbiol. 43, 2291-2302.) was improved by additional oligonucleotides. A total of 244 oligonucleotides (26 to 37 nucleotide length and with similar melting temperatures) were spotted on the microarray, including genes conferring resistance to clinically important antibiotic classes like β-lactams, macrolides, aminoglycosides, glycopeptides and tetracyclines. Each antibiotic resistance gene is represented by at least 2 oligonucleotides designed from consensus sequences of gene families. The specificity of the oligonucleotides and the quality of the amplification and labeling were verified by analysis of a collection of 65 strains belonging to 24 species. Association between genotype and phenotype was verified for 6 antibiotics using 77 Staphylococcus strains belonging to different species and revealed 95% test specificity and a 93% predictive value of a positive test. The DNA labeling and amplification is independent of the species and of the target genes and could be used for different types of microarrays. This system has also the advantage to detect several genes within one bacterium at once, like in Staphylococcus aureus strain BM3318, in which up to 15 genes were detected. This new microarray-based detection system offers a large potential for applications in clinical diagnostic, basic research, food safety and surveillance programs for antimicrobial resistance.
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Antimicrobial drugs may be used to treat diarrheal illness in companion animals. It is important to monitor antimicrobial use to better understand trends and patterns in antimicrobial resistance. There is no monitoring of antimicrobial use in companion animals in Canada. To explore how the use of electronic medical records could contribute to the ongoing, systematic collection of antimicrobial use data in companion animals, anonymized electronic medical records were extracted from 12 participating companion animal practices and warehoused at the University of Calgary. We used the pre-diagnostic, clinical features of diarrhea as the case definition in this study. Using text-mining technologies, cases of diarrhea were described by each of the following variables: diagnostic laboratory tests performed, the etiological diagnosis and antimicrobial therapies. The ability of the text miner to accurately describe the cases for each of the variables was evaluated. It could not reliably classify cases in terms of diagnostic tests or etiological diagnosis; a manual review of a random sample of 500 diarrhea cases determined that 88/500 (17.6%) of the target cases underwent diagnostic testing of which 36/88 (40.9%) had an etiological diagnosis. Text mining, compared to a human reviewer, could accurately identify cases that had been treated with antimicrobials with high sensitivity (92%, 95% confidence interval, 88.1%-95.4%) and specificity (85%, 95% confidence interval, 80.2%-89.1%). Overall, 7400/15,928 (46.5%) of pets presenting with diarrhea were treated with antimicrobials. Some temporal trends and patterns of the antimicrobial use are described. The results from this study suggest that informatics and the electronic medical records could be useful for monitoring trends in antimicrobial use.
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A simple mathematical model of bacterial transmission within a hospital was used to study the effects of measures to control nosocomial transmission of bacteria and reduce antimicrobial resistance in nosocomial pathogens. The model predicts that: (i) Use of an antibiotic for which resistance is not yet present in a hospital will be positively associated at the individual level (odds ratio) with carriage of bacteria resistant to other antibiotics, but negatively associated at the population level (prevalence). Thus inferences from individual risk factors can yield misleading conclusions about the effect of antibiotic use on resistance to another antibiotic. (ii) Nonspecific interventions that reduce transmission of all bacteria within a hospital will disproportionately reduce the prevalence of colonization with resistant bacteria. (iii) Changes in the prevalence of resistance after a successful intervention will occur on a time scale of weeks to months, considerably faster than in community-acquired infections. Moreover, resistance can decline rapidly in a hospital even if it does not carry a fitness cost. The predictions of the model are compared with those of other models and published data. The implications for resistance control and study design are discussed, along with the limitations and assumptions of the model.