Evidence map›Paper›PMID 33199315›Full record

ArticleClinical medicine (London, England)2020

Distribution of contemporary sensitivity troponin in the emergency department and relationship to 30-day mortality: The CHARIOT-ED substudy.

Jonathan Hinton, Mark Mariathas, Lavinia Gabara, Zoe Nicholas, Rick Allan, Sanjay Ramamoorthy, Mamas A Mamas, Michael Mahmoudi, Paul Cook, Nick Curzen

Abstract read
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Article in Clinical medicine (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jonathan HintonUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK and University of Southampton, Southampton, UK jonathan.hinton@uhs.nhs.uk.
Mark MariathasUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK and University of Southampton, Southampton, UK.
Lavinia GabaraUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK and University of Southampton, Southampton, UK.
Zoe NicholasUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK.
Rick AllanUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK.
Sanjay RamamoorthyUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK.
Mamas A MamasKeele University, Stoke on Trent, UK and Jefferson University, Philadelphia, USA.
Michael MahmoudiUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK and University of Southampton, Southampton, UK.
Paul CookUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK.
Nick CurzenUniversity Hospital Southampton NHS Foundation Trust, Southampton, UK and University of Southampton, Southampton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContemporary sensitivity troponin (cs-cTn) concentrations above the upper limit of normal (ULN) are seen in a wide range of clinical conditions and evidence is growing that suggests cs-cTn may be a biomarker of future morbidity and mortality.

objectivesOur aim was to test the hypothesis that cs-cTn, measured in the emergency department, may be a biomarker for 30-day mortality, irrespective of the patient's presentation.

methodIn all 5,708 consecutive cases, contemporary sensitivity troponin I (cs-cTnI) was measured either as requested by the clinical team or as part of the study, in which case both the clinical team and the patient were unaware of the result. Basic demographics were available from the original study and 30-day mortality was derived from NHS Digital data.

resultsIn patients whose cs-cTnI test was requested solely as part of the study, 30-day mortality increased with increasing cs-cTnI concentrations (0% with undetectable concentrations to 14.7% with concentrations above the ULN). Multivariable Cox regression analysis showed that log(10)cs-cTnI concentration was independently associated with 30-day mortality.

conclusionIncreasing cs-cTnI concentrations are associated with higher short-term mortality as well as length of stay. As such, cs-cTnI measurements may provide useful prognostic information.

Indexed as

Myocardial InfarctionBiomarkersEmergency Service, HospitalHumansPrognosisTroponin IBiomarkersTroponin Iacute coronary syndromecontemporary sensitivity troponinEmergency departmentmyocardial infarctionmyocardial injury

Identifiers

PMID33199315
PMCPMC7687347

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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.