An Automated Algorithm to Preselect Patients to Be Assessed Individually in Point Prevalence Surveys for Hospital-Acquired Infections in Surgery

Roel Streefkerk; Peter Moorman; GA Parlevliet; CP van der Hoeven; Henri Verbrugh; Greet Vos; Roel Verkooijen

doi:10.1086/676868

An Automated Algorithm to Preselect Patients to Be Assessed Individually in Point Prevalence Surveys for Hospital-Acquired Infections in Surgery

Roel Streefkerk
, Peter Moorman
, GA Parlevliet
, CP van der Hoeven
, Henri Verbrugh
, Greet Vos
, Roel Verkooijen

Research output: Contribution to journal › Article › Academic › peer-review

9 Citations (Scopus)

Abstract

In this pilot study, we evaluate an algorithm that uses predictive clinical and laboratory parameters to differentiate between patients with hospital-acquired infection (HAI) and patients without HAI. Seventy-four percent of the studied population of surgical patients could be reliably (negative predictive value of 98%) excluded from detailed assessment by the infection control practitioner.

Original language	Undefined/Unknown
Pages (from-to)	886-887
Number of pages	2
Journal	Infection Control & Hospital Epidemiology
Volume	35
Issue number	7
DOIs	https://doi.org/10.1086/676868
Publication status	Published - 2014

Research programs

EMC MM-04-28-01
EMC NIHES-03-77-02

Access to Document

10.1086/676868

http://hdl.handle.net/1765/57822

Cite this

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abstract = "In this pilot study, we evaluate an algorithm that uses predictive clinical and laboratory parameters to differentiate between patients with hospital-acquired infection (HAI) and patients without HAI. Seventy-four percent of the studied population of surgical patients could be reliably (negative predictive value of 98\%) excluded from detailed assessment by the infection control practitioner.",

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AU - Verbrugh, Henri

AU - Vos, Greet

AU - Verkooijen, Roel

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