Automated detection of healthcare associated infections: external validation and updating of a model for surveillance of drain-related meningitis

van Mourik, Maaike S M; Moons, Karel G M; van Solinge, W W; Berkelbach Van Der Sprenkel, Jan Willem; Regli, L; Troelstra, A

doi:10.1371/journal.pone.0051509

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van Mourik, M. S. M., Moons, K. G. M., van Solinge, W. W., Berkelbach Van Der Sprenkel, J. W., Regli, L., & Troelstra, A. (2012). Automated detection of healthcare associated infections: external validation and updating of a model for surveillance of drain-related meningitis. PLoS ONE, 7(12), e51509. https://doi.org/10.1371/journal.pone.0051509

Abstract

OBJECTIVE: Automated surveillance of healthcare-associated infections can improve efficiency and reliability of surveillance. The aim was to validate and update a previously developed multivariable prediction model for the detection of drain-related meningitis (DRM). DESIGN: Retrospective cohort study using traditional surveillance by infection control professionals as reference standard. PATIENTS: Patients receiving an external cerebrospinal fluid drain, either ventricular (EVD) or lumbar (ELD) in a tertiary medical care center. Chil