Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/57315
Title: A multidrug-resistant microorganism infection risk prediction model: development and validation in an emergency medicine population.
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Issue Date: 13-Nov-2019
Citation: Eur J Clin Microbiol Infect Dis.2020;(39)2:309-323
Abstract: The aim was to develop a predictive model of infection by multidrug-resistant microorganisms (MDRO). A national, retrospective cohort study was carried out including all patients attended for an infectious disease in 54 Spanish Emergency Departments (ED), in whom a microbiological isolation was available from a culture obtained during their attention in the ED. A MDRO infection prediction model was created in a derivation cohort using backward logistic regression. Those variables significant at p 21 points). Findings were similar in the validation cohort. Several patient-specific factors were independently associated with MDRO infection risk. When integrated into a clinical prediction rule, higher risk scores and risk classes were related to an increased risk for MDRO infection. This clinical prediction rule could be used by providers to identify patients at high risk and help to guide antibiotic strategy decisions, while accounting for clinical judgment.
PMID: 31720894
URI: https://hdl.handle.net/20.500.12530/57315
Rights: openAccess
Appears in Collections:Hospitales > H. U. Henares > Artículos

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