Literature DB >> 29807091

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

Janneke Evelyne Stalenhoef1, Cees van Nieuwkoop2, Darius Cameron Wilson3, Willize Elizabeth van der Starre4, Nathalie Manon Delfos5, Eliane Madeleine Sophie Leyten6, Ted Koster7, Hans Christiaan Ablij8, Johannes Jan Willem Van't Wout9, Jaap Tamino van Dissel10.   

Abstract

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 severities.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Biomarkers; Emergency medical services; Hospitalization; Pyelonephritis; Triage; Urinary tract infections

Mesh:

Substances:

Year:  2018        PMID: 29807091     DOI: 10.1016/j.jinf.2018.05.007

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


  4 in total

1.  The early identification of disease progression in patients with suspected infection presenting to the emergency department: a multi-centre derivation and validation study.

Authors:  Kordo Saeed; Darius Cameron Wilson; Frank Bloos; Philipp Schuetz; Yuri van der Does; Olle Melander; Pierre Hausfater; Jacopo M Legramante; Yann-Erick Claessens; Deveendra Amin; Mari Rosenqvist; Graham White; Beat Mueller; Maarten Limper; Carlota Clemente Callejo; Antonella Brandi; Marc-Alexis Macchi; Nicholas Cortes; Alexander Kutz; Peter Patka; María Cecilia Yañez; Sergio Bernardini; Nathalie Beau; Matthew Dryden; Eric C M van Gorp; Marilena Minieri; Louisa Chan; Pleunie P M Rood; Juan Gonzalez Del Castillo
Journal:  Crit Care       Date:  2019-02-08       Impact factor: 9.097

2.  Mid-regional proadrenomedullin (MR-proADM), C-reactive protein (CRP) and other biomarkers in the early identification of disease progression in patients with COVID-19 in the acute NHS setting.

Authors:  Nathan Moore; Rebecca Williams; Matilde Mori; Beatrice Bertolusso; Gabrielle Vernet; Jessica Lynch; Pete Philipson; Thomas Ledgerwood; Stephen P Kidd; Claire Thomas; Veronica Garcia-Arias; Michelle Young; Kordo Saeed; Kirsty Gordon; Nicholas Cortes
Journal:  J Clin Pathol       Date:  2022-01-07       Impact factor: 3.411

3.  Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin.

Authors:  Emanuela Sozio; Nathan A Moore; Martina Fabris; Andrea Ripoli; Francesca Rumbolo; Marilena Minieri; Riccardo Boverio; María Dolores Rodríguez Mulero; Sara Lainez-Martinez; Mónica Martínez Martínez; Dolores Calvo; Claudia Gregoriano; Rebecca Williams; Luca Brazzi; Alessandro Terrinoni; Tiziana Callegari; Marta Hernández Olivo; Patricia Esteban-Torrella; Ismael Calcerrada; Luca Bernasconi; Stephen P Kidd; Francesco Sbrana; Iria Miguens; Kirsty Gordon; Daniela Visentini; Jacopo M Legramante; Flavio Bassi; Nicholas Cortes; Giorgia Montrucchio; Vito N Di Lecce; Ernesto C Lauritano; Luis García de Guadiana-Romualdo; Juan González Del Castillo; Enrique Bernal-Morell; David Andaluz-Ojeda; Philipp Schuetz; Francesco Curcio; Carlo Tascini; Kordo Saeed
Journal:  Respir Res       Date:  2022-08-28

4.  Biomarkers and clinical scores to identify patient populations at risk of delayed antibiotic administration or intensive care admission.

Authors:  Juan Gonzalez Del Castillo; Darius Cameron Wilson; Carlota Clemente-Callejo; Francisco Román; Ignasi Bardés-Robles; Inmaculada Jiménez; Eva Orviz; Macarena Dastis-Arias; Begoña Espinosa; Fernando Tornero-Romero; Jordi Giol-Amich; Veronica González; Ferran Llopis-Roca
Journal:  Crit Care       Date:  2019-10-29       Impact factor: 9.097

  4 in total

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