Evidence map›Paper›PMID 26511878›Full record

Trial reportCritical care (London, England)2015

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

Philipp Schuetz, Pierre Hausfater, Devendra Amin, Adina Amin, Sebastian Haubitz, Lukas Faessler, Alexander Kutz, Antoinette Conca, Barbara Reutlinger, Pauline Canavaggio and 5 more

Registry-linked trialOpen access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01768494 (Optimizing Triage and Hospitalisation In Adult General Medical Emergency Patients), which is not on this map. Cited by 53 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 6 pooled it
9.4field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01768494 completednot on this map

Optimizing Triage and Hospitalisation In Adult General Medical Emergency Patients: the TRIAGE Study

TypeobservationalSponsorUniversity Hospital, Basel, SwitzerlandRan2013 to 2014Enrolled7,000ConditionsEmergencies
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 6 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Observational
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 3 countries.

Philipp SchuetzDivision of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, Switzerland. schuetzph@gmail.com.
Pierre HausfaterEmergency Department, Groupe Hospitalier Pitié-Salpêtrière Assistance Publique-Hôpitaux de Paris (APHP), Paris, France. pierre.hausfater@psl.aphp.fr.
Devendra AminDepartment of critical care, Morton Plant Hospital, 300 Pinellas Street, Clearwater, FL, 33756, USA. alveoli.dna@gmail.com.
Adina AminDepartment of critical care, Morton Plant Hospital, 300 Pinellas Street, Clearwater, FL, 33756, USA. Adina.Amin@baycare.org.
Sebastian HaubitzDivision of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, Switzerland. sebastian.haubitz@gmail.com.
Lukas FaesslerDivision of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, Switzerland. lukas.faessler@gmx.net.
Alexander KutzDivision of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, Switzerland. kutz.alexander@gmail.com.
Antoinette ConcaDepartment of Clinical Nursing Science, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, Switzerland. Antoinette.Conca@ksa.ch.
Barbara ReutlingerDepartment of Clinical Nursing Science, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, Switzerland. Barbara.Reutlinger@ksa.ch.
Pauline CanavaggioEmergency Department, Groupe Hospitalier Pitié-Salpêtrière Assistance Publique-Hôpitaux de Paris (APHP), Paris, France. pauline.canavaggio@gmail.com.
Gabrielle SauvinEmergency Department, Groupe Hospitalier Pitié-Salpêtrière Assistance Publique-Hôpitaux de Paris (APHP), Paris, France. gabrielle_sauvin@hotmail.fr.
Maguy BernardBiochemistry Department, Hôpital Pitié-Salpêtrière and Univ-Paris Descartes, Paris, France. maguy.bernard@psl.aphp.fr.
Andreas HuberDepartment of Laboratory Medicine, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, Switzerland. Andreas.Huber@ksa.ch.
Beat MuellerDivision of General and Emergency Medicine, University Department of Medicine, Kantonsspital Aarau, Tellstrasse, 5001, Aarau, Switzerland. happy.mueller@unibas.ch.
TRIAGE Study group
Kantonsspital Aarau · CHAssistance Publique – Hôpitaux de Paris · FRMorton Plant Hospital · USSorbonne Université · FRUniversité Paris Cité · FRUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEarly 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.

methodWe 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).

resultsDuring 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.

conclusionsCombination 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 registrationClinicalTrials.gov NCT01768494 . Registered January 9, 2013.

Indexed as

RiskAdrenomedullinAdultAgedBiomarkersCalcitoninCalcitonin Gene-Related PeptideCohort StudiesEmergency Service, HospitalFemaleGlycopeptidesHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsAdrenomedullinBiomarkersCALCA protein, humanCalcitoninCalcitonin Gene-Related PeptidecopeptinsGlycopeptidesProtein Precursors

Identifiers

PMID26511878
PMCPMC4625457
OpenAlexW1938931195

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.