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Published in: Critical Care 1/2015

Open Access 01-12-2015 | Research

Biomarkers from distinct biological pathways improve early risk stratification in medical emergency patients: the multinational, prospective, observational TRIAGE study

Authors: Philipp Schuetz, Pierre Hausfater, Devendra Amin, Adina Amin, Sebastian Haubitz, Lukas Faessler, Alexander Kutz, Antoinette Conca, Barbara Reutlinger, Pauline Canavaggio, Gabrielle Sauvin, Maguy Bernard, Andreas Huber, Beat Mueller, for the TRIAGE Study group

Published in: Critical Care | Issue 1/2015

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Abstract

Introduction

Early risk stratification in the emergency department (ED) is vital to reduce time to effective treatment in high-risk patients and to improve patient flow. Yet, there is a lack of investigations evaluating the incremental usefulness of multiple biomarkers measured upon admission from distinct biological pathways for predicting fatal outcome and high initial treatment urgency in unselected ED patients in a multicenter and multinational setting.

Method

We included consecutive, adult, medical patients seeking ED care into this observational, cohort study in Switzerland, France and the USA. We recorded initial clinical parameters and batch-measured prognostic biomarkers of inflammation (pro-adrenomedullin [ProADM]), stress (copeptin) and infection (procalcitonin).

Results

During a 30-day follow-up, 331 of 7132 (4.6 %) participants reached the primary endpoint of death within 30 days. In logistic regression models adjusted for conventional risk factors available at ED admission, all three biomarkers strongly predicted the risk of death (AUC 0.83, 0.78 and 0.75), ICU admission (AUC 0.67, 0.69 and 0.62) and high initial triage priority (0.67, 0.66 and 0.58). For the prediction of death, ProADM significantly improved regression models including (a) clinical information available at ED admission (AUC increase from 0.79 to 0.84), (b) full clinical information at ED discharge (AUC increase from 0.85 to 0.88), and (c) triage information (AUC increase from 0.67 to 0.83) (p <0.01 for each comparison). Similarly, ProADM also improved clinical models for prediction of ICU admission and high initial treatment urgency. Results were robust in regard to predefined patient subgroups by center, main diagnosis, presenting symptoms, age and gender.

Conclusions

Combination of clinical information with results of blood biomarkers measured upon ED admission allows early and more adequate risk stratification in individual unselected medical ED patients. A randomized trial is needed to answer the question whether biomarker-guided initial patient triage reduces time to initial treatment of high-risk patients in the ED and thereby improves patient flow and clinical outcomes.

Trial registration

ClinicalTrials.gov NCT01768494. Registered January 9, 2013.
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Metadata
Title
Biomarkers from distinct biological pathways improve early risk stratification in medical emergency patients: the multinational, prospective, observational TRIAGE study
Authors
Philipp Schuetz
Pierre Hausfater
Devendra Amin
Adina Amin
Sebastian Haubitz
Lukas Faessler
Alexander Kutz
Antoinette Conca
Barbara Reutlinger
Pauline Canavaggio
Gabrielle Sauvin
Maguy Bernard
Andreas Huber
Beat Mueller
for the TRIAGE Study group
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Critical Care / Issue 1/2015
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-015-1098-z

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