Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studies.

doi:10.1186/s12879-016-2020-2

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Article

Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studies.

BMC infectious diseases - 17 Nov 2016

Jackson Kathryn L, Mbagwu Michael, Pacheco Jennifer A, Baldridge Abigail S, Viox Daniel J, Linneman James G, Shukla Sanjay K, Peissig Peggy L, Borthwick Kenneth M, Carrell David A, Bielinski Suzette J, Kirby Jacqueline C, Denny Joshua C, Mentch Frank D, Vazquez Lyam M, Rasmussen-Torvik Laura J, Kho Abel N

Abstract excerpt

BACKGROUND: Community associated methicillin-resistant Staphylococcus aureus (CA-MRSA) is one of the most common causes of skin and soft tissue infections in the United States, and a variety of genetic host factors are suspected to be risk factors for recurrent infection. Based on the CDC definition, we have developed and validated an electronic health record (EHR) based CA-MRSA phenotype algorithm utilizing both...

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Identifiers

PMID: 27855652
DOI: 10.1186/s12879-016-2020-2
PMCID: PMC5114817

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