Publication:
Assessing the role of undetected colonization and isolation precautions in reducing Methicillin-Resistant Staphylococcus aureus transmission in intensive care units

dc.contributor.authorTheodore Kypraiosen_US
dc.contributor.authorPhilip D. O'Neillen_US
dc.contributor.authorSusan S. Huangen_US
dc.contributor.authorSheryl L. Rifas-Shimanen_US
dc.contributor.authorBen S. Cooperen_US
dc.contributor.otherUniversity of Nottinghamen_US
dc.contributor.otherUCI School of Medicineen_US
dc.contributor.otherBrigham and Women's Hospital and Harvard Medical Schoolen_US
dc.contributor.otherHarvard Pilgrim Health Careen_US
dc.contributor.otherNuffield Department of Clinical Medicineen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-09-24T09:33:27Z
dc.date.available2018-09-24T09:33:27Z
dc.date.issued2010-02-16en_US
dc.description.abstractBackground: Screening and isolation are central components of hospital methicillin-resistant Staphylococcus aureus (MRSA) control policies. Their prevention of patient-to-patient spread depends on minimizing undetected and unisolated MRSA-positive patient days. Estimating these MRSA-positive patient days and the reduction in transmission due to isolation presents a major methodological challenge, but is essential for assessing both the value of existing control policies and the potential benefit of new rapid MRSA detection technologies. Recent methodological developments have made it possible to estimate these quantities using routine surveillance data.Methods: Colonization data from admission and weekly nares cultures were collected from eight single-bed adult intensive care units (ICUs) over 17 months. Detected MRSA-positive patients were isolated using single rooms and barrier precautions. Data were analyzed using stochastic transmission models and model fitting was performed within a Bayesian framework using a Markov chain Monte Carlo algorithm, imputing unobserved MRSA carriage events.Results: Models estimated the mean percent of colonized-patient-days attributed to undetected carriers as 14.1% (95% CI (11.7, 16.5)) averaged across ICUs. The percent of colonized-patient-days attributed to patients awaiting results averaged 7.8% (6.2, 9.2). Overall, the ratio of estimated transmission rates from unisolated MRSA-positive patients and those under barrier precautions was 1.34 (0.45, 3.97), but varied widely across ICUs.Conclusions: Screening consistently detected >80% of colonized-patient-days. Estimates of the effectiveness of barrier precautions showed considerable uncertainty, but in all units except burns/general surgery and one cardiac surgery ICU, the best estimates were consistent with reductions in transmission associated with barrier precautions. © 2010 Kypraios et al; licensee BioMed Central Ltd.en_US
dc.identifier.citationBMC Infectious Diseases. Vol.10, (2010)en_US
dc.identifier.doi10.1186/1471-2334-10-29en_US
dc.identifier.issn14712334en_US
dc.identifier.other2-s2.0-77649095726en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/29766
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77649095726&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleAssessing the role of undetected colonization and isolation precautions in reducing Methicillin-Resistant Staphylococcus aureus transmission in intensive care unitsen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77649095726&origin=inwarden_US

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