Biomarker guided triage can reduce hospitalization rate in community acquired febrile urinary tract infection

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TitreBiomarker guided triage can reduce hospitalization rate in community acquired febrile urinary tract infection
Type de publicationJournal Article
Year of Publication2018
AuteursStalenhoef JEvelyne, van Nieuwkoop C, Wilson DCameron, van der Starre WElizabeth, Delfos NManon, Leyten EMadeleine, Koster T, Ablij HChristiaan, Wout J(J)Johannes(J, van Dissel JTamino
JournalJOURNAL OF INFECTION
Volume77
Pagination18-24
Date PublishedJUL
Type of ArticleArticle
ISSN0163-4453
Mots-clésbiomarkers, Emergency medical services, hospitalization, Pyelonephritis, Triage, urinary tract infections
Résumé

Objectives: Febrile urinary tract infections (fUTI) can often be treated safely with oral antimicrobials in an outpatient setting. However, a minority of patients develop complications that may progress into septic shock. An accurate assessment of disease severity upon emergency department (ED) presentation is therefore crucial in order to guide the most appropriate triage and treatment decisions. Methods: Consecutive patients were enrolled with presumptive fUTI across 7 EDs in the Netherlands. The biomarkers mid-regional proadrenomedullin (MR-proADM), procalcitonin (PCT), C-reactive protein (CRP), and a clinical score (PRACTICE), were compared in their ability to predict a clinically severe course of fUTI, initial hospital admission and subsequent readmission using area under the receiver operating characteristic (AUROC) curves. Results: Biomarker concentrations were measured in 313 patients, with 259 (83%) hospitalized upon ED presentation, and 54 (17%) treated as outpatients. Of these outpatients, 12 (22%) were later hospitalized. MR-proADM had the highest diagnostic accuracy for predicting a complicated fUTI (AUROC [95% CI]: 0.86 [0.79-0.92]), followed by PCT (AUROC [95% CI]: 0.69 [0.58-0.80]). MR-proADM concentrations were unique in being significantly elevated in patients directly admitted and in outpatients requiring subsequent hospitalization, compared to those completing treatment at home. A virtual triage algorithm with an MR-proADM cut-off of 0.80 nmol/L resulted in a hospitalization rate of 66%, with only 2% secondary admissions. Conclusion: MR-proADM could accurately predict a severe course in patients with fUTI, and identify greater patient numbers who could be safely managed as outpatients. An initial assessment on ED presentation may focus resources to patients with highest disease seventies. (C) 2018 The Authors. Published by Elsevier Ltd on behalf of The British Infection Association.

DOI10.1016/j.jinf.2018.05.007