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Automated Detection of Healthcare Associated Infections: External Validation and Updating of a Model for Surveillance of Drain-Related Meningitis

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Listed:
  • Maaike S M van Mourik
  • Karel G M Moons
  • Wouter W van Solinge
  • Jan-Willem Berkelbach-van der Sprenkel
  • Luca Regli
  • Annet Troelstra
  • Marc J M Bonten

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. Children, patients with simultaneous drains,

Suggested Citation

  • Maaike S M van Mourik & Karel G M Moons & Wouter W van Solinge & Jan-Willem Berkelbach-van der Sprenkel & Luca Regli & Annet Troelstra & Marc J M Bonten, 2012. "Automated Detection of Healthcare Associated Infections: External Validation and Updating of a Model for Surveillance of Drain-Related Meningitis," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-7, December.
    • Handle: RePEc:plo:pone00:0051509
    DOI: 10.1371/journal.pone.0051509
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    1. Maaike S M van Mourik & Rolf H H Groenwold & Jan Willem Berkelbach van der Sprenkel & Wouter W van Solinge & Annet Troelstra & Marc J M Bonten, 2011. "Automated Detection of External Ventricular and Lumbar Drain-Related Meningitis Using Laboratory and Microbiology Results and Medication Data," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-7, August.
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