Dataset Information

Detection of Rare Antimicrobial Resistance Profiles by Active and Passive Surveillance Approaches.

ABSTRACT: Antimicrobial resistance (AMR) surveillance systems are generally not specifically designed to detect emerging resistances and usually focus primarily on resistance to individual drugs. Evaluating the diversity of resistance, using ecological metrics, allows the assessment of sampling protocols with regard to the detection of rare phenotypes, comprising combinations of resistances. Surveillance data of phenotypic AMR of Canadian poultry Salmonella Heidelberg and swine Salmonella Typhimurium var. 5- were used to contrast active (representative isolates derived from healthy animals) and passive (diagnostic isolates) surveillance and assess their suitability for detecting emerging resistance patterns. Although in both datasets the prevalences of resistance to individual antimicrobials were not significantly different between the two surveillance systems, analysis of the diversity of entire resistance phenotypes demonstrated that passive surveillance of diagnostic isolates detected more unique phenotypes. Whilst the most appropriate surveillance method will depend on the relevant objectives, under the conditions of this study, passive surveillance of diagnostic isolates was more effective for the detection of rare and therefore potentially emerging resistance phenotypes.

SUBMITTER: Mather AE

PROVIDER: S-EPMC4938605 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Detection of Rare Antimicrobial Resistance Profiles by Active and Passive Surveillance Approaches.

Mather Alison E AE Reeve Richard R Mellor Dominic J DJ Matthews Louise L Reid-Smith Richard J RJ Dutil Lucie L Haydon Daniel T DT Reid Stuart W J SW

PloS one 20160708 7

Antimicrobial resistance (AMR) surveillance systems are generally not specifically designed to detect emerging resistances and usually focus primarily on resistance to individual drugs. Evaluating the diversity of resistance, using ecological metrics, allows the assessment of sampling protocols with regard to the detection of rare phenotypes, comprising combinations of resistances. Surveillance data of phenotypic AMR of Canadian poultry Salmonella Heidelberg and swine Salmonella Typhimurium var. ...[more]

PMID: 27391966

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Project description:IntroductionDespite reductions in smoking rates, exposure to cigarette smoke remains common among US children and adolescents. In adults, active smoking and secondhand smoke (SHS) exposure have been linked to adverse changes in lipid profiles and increases in inflammatory markers. Evidence that such changes are present before adulthood remains limited, and the extent to which active smoking and SHS exposure affect these cardiovascular measures in children has not been thoroughly assessed.MethodsWe employed data from 2008 individuals aged 12-19 years from the 2005-2010 National Health and Nutrition Examination Survey. Comparisons of the lipid and inflammatory marker levels among active smokers, those exposed to SHS (as determined by serum cotinine levels), and those unexposed to tobacco smoke were made using linear regression with multiple propensity score adjustment.ResultsCompared to unexposed children, lipid and inflammatory marker profiles did not differ among those exposed to SHS exposure. Among active smokers, differences compared to unexposed children were observed in triglyceride levels ( β=8.5 mg/dL, P = .01), the ratio of triglycerides to high-density lipoprotein ( β=0.2, P = .045), and low-density lipoprotein cholesterol ( β=-4.1 mg/dL , P = .03), though these did not reach levels of confirmatory statistical significance.ConclusionsAfter accounting for sociodemographic characteristics and medical comorbidities, serum lipids and markers of systemic inflammation were not associated with SHS exposure. Tobacco smoke exposure in children may require longer durations of compounded effect before serum lipid abnormalities are detected.ImplicationsThis paper adds detail to the study of secondhand smoke's effects on lipid profiles of children and adolescents. Prior research on this topic for these age groups has been limited, and this study provides national, cross-sectional data to show that both secondhand smoke and active smoking in childhood and adolescence is not associated with changes in lipid profiles or markers of inflammation. Tobacco smoke exposure may require longer durations of compounded effect before abnormalities are detected.

Project description:BackgroundIn Afghanistan, improving TB case detection remains challenging. In 2014, only half of the estimated incident TB cases were notified, and notifications have decreased since peaking in 2007. Active case finding has been increasingly considered to improve TB case notifications. While access to health services has improved in Afghanistan, it remains poor and many people seeking health services won't receive proper care.MethodsFrom October 2011 through December 2012 we conducted three separate case finding strategies in six provinces of Afghanistan and measured impact on TB case notification. Systematically screening cough among attendees at 47 health facilities, active household contact investigation of smear-positive index TB patients, and active screening at 15 camps for internally displaced people were conducted. We collected both intervention yield and official quarterly notification data. Additional TB notifications were calculated by comparing numbers of cases notified during the intervention with those notified before the intervention, then adjusting for secular trends in notification.ResultsWe screened 2,022,127 people for TB symptoms during the intervention, tested 59,838 with smear microscopy and detected 5,046 people with smear-positive TB. Most cases (81.7%, 4,125) were identified in health facilities while nearly 20% were found through active case finding. A 56% increase in smear-positive TB notifications was observed between the baseline and intervention periods among the 47 health facilities, where cases detected by all three strategies were notified.DiscussionWhile most people with TB are likely to be identified through health facility screening, there are many people who remain without a proper diagnosis if outreach is not attempted. This is especially true in places like Afghanistan where access to general services is poor. Targeted active case finding can improve the number of people who are detected and treated for TB and can push towards the targets of the Stop TB Global Plan and End TB Strategy.

Dataset Information

Detection of Rare Antimicrobial Resistance Profiles by Active and Passive Surveillance Approaches.

Publications

Detection of Rare Antimicrobial Resistance Profiles by Active and Passive Surveillance Approaches.

Similar Datasets

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