72 resultados para Antibiotics


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Bronchiectasis unrelated to cystic fibrosis is characterized by chronic wet or productive cough, recurrent exacerbations and irreversible bronchial dilatation. After antibiotics and vaccines became available and living standards in affluent countries improved, its resulting reduced prevalence meant bronchiectasis was considered an ‘orphan disease’. This perception has changed recently with increasing use of CT scans to diagnose bronchiectasis, including in those with severe chronic obstructive pulmonary disease or ‘difficult to control’ asthma, and adds to its already known importance in non-affluent countries and disadvantaged Indigenous communities. Following years of neglect, there is renewed interest in identifying the pathogenetic mechanisms of bronchiectasis, including the role of infection, and conducting clinical trials. This is providing much needed evidence to guide antimicrobial therapy, which has relied previously upon extrapolating treatments used in cystic fibrosis and chronic obstructive pulmonary disease. While many knowledge gaps and management challenges remain, the future is improving for patients with bronchiectasis.

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The fate of two popular antibiotics, oxytetracycline and oxolinic acid, in a fish pond were simulated using a computational model. The VDC model, which is designed based on a model for predicting pesticide fate and transport in paddy fields, was modified to take into account the differences between the pond and the paddies as well as those between the fish and the rice plant behaviors. The pond conditions were set following the typical practice in South East Asia aquaculture. The two antibiotics were administered to the animal in the pond through medicated feed during a period of 5 days as in actual practice. Concentrations of oxytetracycline in pond water were higher than those of oxolinic acid at the beginning of the simulation. Dissipation rate of oxytetracycline is also higher as it is more readily available for degradation in the water. For the long term, oxolinic acid was present at higher concentration than oxytetracycline in pond water as well as pond sediment. The simulated results were expected to be conservative and can be useful for the lower tier assessment of exposure risk of veterinary medicine in aquaculture industry but more data are needed for the complete validation of the model.

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Escherichia coli sequence type 131 (ST131) is a globally dominant multidrug resistant clone associated with urinary tract and bloodstream infections. Most ST131 strains exhibit resistance to multiple antibiotics and cause infections associated with limited treatment options. The largest sub-clonal ST131 lineage is resistant to fluoroquinolones, contains the type 1 fimbriae fimH30 allele and expresses an H4 flagella antigen. Flagella are motility organelles that contribute to UPEC colonisation of the upper urinary tract. In this study, we examined the specific role of H4 flagella in ST131 motility and interaction with host epithelial and immune cells. We show that the majority of H4-positive ST131 strains are motile and are enriched for flagella expression during static pellicle growth. We also tested the role of H4 flagella in ST131 through the construction of specific mutants, over-expression strains and isogenic mutants that expressed alternative H1 and H7 flagellar subtypes. Overall, our results revealed that H4, H1 and H7 flagella possess conserved phenotypes with regards to motility, epithelial cell adhesion, invasion and uptake by macrophages. In contrast, H4 flagella trigger enhanced induction of the anti-inflammatory cytokine IL-10 compared to H1 and H7 flagella, a property that may contribute to ST131 fitness in the urinary tract.

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In analysis of longitudinal data, the variance matrix of the parameter estimates is usually estimated by the 'sandwich' method, in which the variance for each subject is estimated by its residual products. We propose smooth bootstrap methods by perturbing the estimating functions to obtain 'bootstrapped' realizations of the parameter estimates for statistical inference. Our extensive simulation studies indicate that the variance estimators by our proposed methods can not only correct the bias of the sandwich estimator but also improve the confidence interval coverage. We applied the proposed method to a data set from a clinical trial of antibiotics for leprosy.

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Biomaterials play a fundamental role in disease management and the improvement of health care. In recent years, there has been a significant growth in the diversity, function, and number of biomaterials used worldwide. Yet, attachment of pathogenic microorganisms onto biomaterial surfaces remains a significant challenge that substantially undermines their clinical applicability, limiting the advancement of these systems. The emergence and escalating pervasiveness of antibiotic-resistant bacterial strains makes the management of biomaterial-associated nosocomial infections increasingly difficult. The conventional post-operative treatment of implant-caused infections using systemic antibiotics is often marginally effective, further accelerating the extent of antimicrobial resistance. Methods by which the initial stages of bacterial attachment and biofilm formation can be restricted or prevented are therefore sought. The surface modification of biomaterials has the potential to alleviate pathogenic biofouling, therefore preventing the need for conventional antibiotics to be applied.

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Background Australia has one of the highest rates of antibiotic use amongst OECD countries. Data from the Australian primary healthcare sector suggests unnecessary antibiotics were prescribed for self-resolving conditions. We need to better understand what drives general practitioners (GPs) to prescribe antibiotics, consumers to seek antibiotics, and pharmacists to fill repeat antibiotic prescriptions. It is also not clear how these individuals trade-off between the possible benefits that antibiotics may provide in the immediate/short term, against the longer term societal risk of antimicrobial resistance. This project investigates what factors drive decisions to use antibiotics for GPs, pharmacists and consumers, and how these individuals discount the future. Methods Factors will be gleaned from published literature and from semi-structured interviews, to inform the development of Discrete Choice Experiments (DCEs). Three DCEs will be constructed – one for each group of interest – to allow investigation of which factors are more important in influencing (a) GPs to prescribe antibiotics, (b) consumers to seek antibiotics, and (c) pharmacists to fill legally valid but old or repeat prescriptions of antibiotics. Regression analysis will be conducted to understand the relative importance of these factors. A Time Trade Off exercise will be developed to investigate how these individuals discount the future. Results Findings from the DCEs will provide an insight into which factors are more important in driving decision making in antibiotic use for GPs, pharmacists and consumers. Findings from the Time Trade Off exercise will show what individuals are willing to trade for preserving the miracle of antibiotics. Conclusion Research findings will contribute to existing national programs to bring about a reduction in inappropriate use of antibiotic in Australia. Specifically, influencing how key messages and public health campaigns are crafted, and clinical education and empowerment of GPs and pharmacists to play a more responsive role as stewards of antibiotic use in the community.

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Objective The objectives of this study were to investigate (1) the attitudes and behaviours of Australian consumers in antibiotic use, and (2) their understanding of antibiotic resistance. Methods Semi-structured interviews were conducted with consumers in May/June 2015. Convenience sampling was used to recruit consumers between 18–54 years old. Thirty-two consumers were interviewed. Transcripts were analysed to identify themes. Lessons Learned Dominant themes for attitudes and behaviours regarding antibiotics were (a) avoidance of antibiotic use unless clinically warranted; (b) antibiotics were useful but “weakened the body”; and (c) use of complementary medicines as adjuncts to antibiotics or to strengthen the immune system. Key information needs were (a) unambiguous instructions from GPs when prescribed antibiotics, to avoid inappropriate medicine-taking behaviour; (b) rationale for antibiotic selection; and (c) treatment duration. Antibiotic resistance was conceptualised in three ways: as a property of the body (body becomes resistant to antibiotics); the medication (antibiotic no longer effective); and the bacteria (bacteria is resistant). Antibiotic resistance was perceived as an issue that would only affect the wider community in the future, although most recognised that it is a current challenge for hospitals. Personal good health and/or avoidance of antibiotics were perceived as insurance against being adversely affected by antibiotic resistance. Implications A structured survey (discrete choice experiment) will be developed from these findings to investigate how consumers trade-off on factors influencing antibiotic use. Public health campaigns promoting conservation of antibiotics can benefit from these findings.

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Background: Significant recent attention has focussed on the role of antibiotic prescribing and usage with the aim of combating antibiotic resistance, a growing worldwide health concern. A significant gap in this literature concerns the consumption patterns and beliefs of consumers about antibiotics and their effects. We seek to remedy this gap by exploring a range of questionable antibiotic practices and obtaining reliable estimates of their prevalence as well as their normative status. Methods: We conducted an online survey of over 100 consumers. We used a new incentive compatible technique, the Bayesian Truth Serum (BTS), to elicit more truthful responding than standard self-report measures. We asked participants to indicate whether they engaged in a number of practices including whether they had: taken antibiotics when they are out of date and stored antibiotics at home for later use. We then sought estimates of the percentage of other patients (like them) who had engaged in each behaviour, as well as asking them among those patients who had, the percentage that would admit to having done so. We also asked about social acceptability and responsibility of the practices. Results: These results will show for each type of questionable practice how prevalent it is and whether consumers view it as both socially acceptable and socially responsible. We will gain the relative prevalence of each of these practices. Conclusion: These findings are of paramount importance in gaining a better understanding of consumers’ antibiotic consumption patterns. These will be vital for better targeting educational campaigns to lower inappropriate antibiotic consumption.

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In April 2014, the World Health Organization announced the beginning of a post-antibiotic era and declared antimicrobial resistance (AMR) a public health priority demanding global action. If no action is taken, by 2050 AMR will kill more people each year than cancer, with 10 million estimated annual deaths at a cost of $100 trillion to the global economy. New therapies to tackle multidrug resistant bacterial pathogens are urgently needed. Unlike traditional antibiotics, antivirulence drugs inhibit bacterial virulence instead of growth promising to offer a new class of superior therapeutics that will be ‘evolution-proof’ and ‘tailored-spectrum’. This mini-review discusses the latest emerging evidence on the promised benefits of antivirulence drugs over conventional antibiotics, also highlighting the challenges in evaluating these properties for each of the diverse virulence targets that are currently under investigation. The author argues that overcoming such challenges early in the development process constitutes an important step towards successfully progressing each of the expanding number of antivirulence strategies into next-generation therapies for common human and animal infections that are becoming increasingly refractory to all available antibiotics.

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Background Treatment guidelines recommend watchful waiting for children older than 2 years with acute otitis media (AOM) without perforation, unless they are at high risk of complications. The high prevalence of chronic suppurative otitis media (CSOM) in remote Aboriginal and Torres Strait Islander communities leads these children to be classified as high risk. Urban Aboriginal and Torres Strait Islander children are at lower risk of complications, but evidence to support the subsequent recommendation for watchful waiting in this population is lacking. Methods/Design This non-inferiority multi-centre randomised controlled trial will determine whether watchful waiting is non-inferior to immediate antibiotics for urban Aboriginal and Torres Strait Islander children with AOM without perforation. Children aged 2 − 16 years with AOM who are considered at low risk for complications will be recruited from six participating urban primary health care services across Australia. We will obtain informed consent from each participant or their guardian. The primary outcome is clinical resolution on day 7 (no pain, no fever of at least 38 °C, no bulging eardrum and no complications of AOM such as perforation or mastoiditis) as assessed by general practitioners or nurse practitioners. Participants and outcome assessors will not be blinded to treatment. With a sample size of 198 children in each arm, we have 80 % power to detect a non-inferiority margin of up to 10 % at a significance level of 5 %, assuming clinical improvement of at least 80 % in both groups. Allowing for a 20 % dropout rate, we aim to recruit 495 children. We will analyse both by intention-to-treat and per protocol. We will assess the cost- effectiveness of watchful waiting compared to immediate antibiotic prescription. We will also report on the implementation of the trial from the perspectives of parents/carers, health professionals and researchers. Discussion The trial will provide evidence for the safety and effectiveness of watchful waiting for the management of AOM in Aboriginal and Torres Strait Islander children living in urban settings who are considered to be at low risk of complications.

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- Introduction Clinical pharmacokinetic studies of antibiotics can establish evidence-based dosing regimens that improve the likelihood of eradicating the pathogen at the site of infection, reduce the potential for selection of resistant pathogens, and minimize harm to the patient. Innovations in small volume sampling (< 50 μL) or ‘microsampling’ may result in less-invasive sample collection, self-sampling and dried storage. Microsampling may open up opportunities in patient groups where sampling is challenging. - Areas Covered The challenges for implementation of microsampling to assure suitability of the results, include: acceptable study design, regulatory agency acceptance, and meeting bioanalytical validation requirements. This manuscript covers various microsampling methods, including dried blood/plasma spots, volumetric absorptive microsampling, capillary microsampling, plasma preparation technologies and solid-phase microextraction. - Expert Opinion The available analytical technology is being underutilized due to a lack of bridging studies and validated bioanalytical methods. These deficiencies represent major impediments to the application of microsampling to antibiotic pharmacokinetic studies. A conceptual framework for the assessment of the suitability of microsampling in clinical pharmacokinetic studies of antibiotics is provided. This model establishes a ‘contingency approach’ with consideration of the antibiotic and the type and location of the patient, as well as the more prescriptive bioanalytical validation protocols.

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Background There is a strong link between antibiotic consumption and the rate of antibiotic resistance. In Australia, the vast majority of antibiotics are prescribed by general practitioners, and the most common indication is for acute respiratory infections. The aim of this study is to assess if implementing a package of integrated, multifaceted interventions reduces antibiotic prescribing for acute respiratory infections in general practice. Methods/design This is a cluster randomised trial comparing two parallel groups of general practitioners in 28 urban general practices in Queensland, Australia: 14 intervention and 14 control practices. The protocol was peer-reviewed by content experts who were nominated by the funding organization. This study evaluates an integrated, multifaceted evidence-based package of interventions implemented over a six month period. The included interventions, which have previously been demonstrated to be effective at reducing antibiotic prescribing for acute respiratory infections, are: delayed prescribing; patient decision aids; communication training; commitment to a practice prescribing policy for antibiotics; patient information leaflet; and near patient testing with C-reactive protein. In addition, two sub-studies are nested in the main study: (1) point prevalence estimation carriage of bacterial upper respiratory pathogens in practice staff and asymptomatic patients; (2) feasibility of direct measures of antibiotic resistance by nose/throat swabbing. The main outcome data are from Australia’s national health insurance scheme, Medicare, which will be accessed after the completion of the intervention phase. They include the number of antibiotic prescriptions and the number of patient visits per general practitioner for periods before and during the intervention. The incidence of antibiotic prescriptions will be modelled using the numbers of patients as the denominator and seasonal and other factors as explanatory variables. Results will compare the change in prescription rates before and during the intervention in the two groups of practices. Semi-structured interviews will be conducted with the general practitioners and practice staff (practice nurse and/or practice manager) from the intervention practices on conclusion of the intervention phase to assess the feasibility and uptake of the interventions. An economic evaluation will be conducted to estimate the costs of implementing the package, and its cost-effectiveness in terms of cost per unit reduction in prescribing. Discussion The results on the effectiveness, cost-effectiveness, acceptability and feasibility of this package of interventions will inform the policy for any national implementation.