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Resistant Staphylococcus aureus Infections in the United States: A New Classification, a New Resistance and the Implications for Surveillance, Prevention, and Control.

dc.contributor.authorSievert, Dawn M.en_US
dc.date.accessioned2009-02-05T19:24:17Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2009-02-05T19:24:17Z
dc.date.issued2008en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/61607
dc.description.abstractMethicillin-resistant Staphylococcus aureus (MRSA) infections are often defined as healthcare-associated (HA) or community-associated (CA) based on three different classification schemes: healthcare risk factor, infection type, or susceptibility pattern. This dissertation analyzed the sensitivity, specificity, and utility of these classifications using MRSA case data from Michigan. MRSA infections were voluntarily reported to the Michigan Department of Community Health (MDCH) from October 2004 through December 2005. Data on patient demographics, risk factors, and infection information were recorded on the MDCH MRSA Report Form and submitted with laboratory susceptibility test results. A total of 2,151 non-duplicate MRSA infections were reported. Pulsed-field gel electrophoresis (PFGE) tests were conducted on 244 randomly selected isolates from reported cases. The first project classified MRSA infections as HA or CA using each of the three classification schemes, then examined results for inconsistency across methods. Comparison of HA and CA results using the common classification schemes revealed a large proportion of inconsistent results. The second project used PFGE test result as a gold standard to consider the three classification schemes and other important contributing variables aimed at producing an improved multivariable classification model. This new model using infection type, susceptibility pattern, age and hospitalized as variables better predicted PFGE classification of HA or CA than any other single classification method. The third project evaluated accuracy of the new classification model and used it to define the epidemiology of Michigan MRSA infections. This analysis revealed that MRSA is prevalent across Michigan and CA-MRSA, particularly among males, blacks, people within correctional facilities, and people presenting to emergency departments. A final project produced a comprehensive review of the first seven cases of emergent vancomycin-resistant Staphylococcus aureus (VRSA) in the US. All VRSA cases had a history of prior MRSA and enterococcal infection or colonization; all had several underlying conditions and most had received vancomycin prior to their VRSA infection. In conclusion, the improved method to categorize MRSA infections as HA or CA, and characterization of the VRSA cases, provides new knowledge that will help to accurately target control efforts and prevention methods and messages to better combat this adept and evolving bacterium.en_US
dc.format.extent907901 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectMethicillin-resistant Staphylococcus Aureusen_US
dc.subjectVancomycin-resistant Staphylococcus Aureusen_US
dc.subjectMRSAen_US
dc.subjectVRSAen_US
dc.subjectAntimicrobial Resistanceen_US
dc.titleResistant Staphylococcus aureus Infections in the United States: A New Classification, a New Resistance and the Implications for Surveillance, Prevention, and Control.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineEpidemiological Scienceen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberBoulton, Matthew L.en_US
dc.contributor.committeememberWilson, Mark L.en_US
dc.contributor.committeememberGillespie, Brenda Wilsonen_US
dc.contributor.committeememberWilkins, Melinda Jeanen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/61607/1/sievertd_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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