Evidence map›Paper›PMID 36857071›Full record

ArticleJAMA cardiology2023

Performance of the European Society of Cardiology 0/1-Hour Algorithm With High-Sensitivity Cardiac Troponin T Among Patients With Known Coronary Artery Disease.

Nicklaus P Ashburn, Anna C Snavely, James C O'Neill, Brandon R Allen, Robert H Christenson, Troy Madsen, Michael R Massoomi, James K McCord, Bryn E Mumma, Richard Nowak and 4 more

Abstract read
In one paragraph

Article in JAMA cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Trial
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  5. Review
  6. Article
  7. Article
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  11. Observational
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  14. Sex-specific high-sensitivity troponin T cut-points have similar safety but lower efficacy than overall cut-points in a multisite U.S. cohort.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Observational
  15. High-Sensitivity Troponin: Finding a Meaningful Delta.Journal of cardiovascular development and disease · 2024
    Review
  16. Article
  17. Article
  18. Accelerating chest pain evaluation with machine learning.European heart journal. Acute cardiovascular care · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Nicklaus P AshburnDepartment of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Anna C SnavelyDepartment of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
James C O'NeillDepartment of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Brandon R AllenDepartment of Emergency Medicine, University of Florida College of Medicine, Gainesville.
Robert H ChristensonDepartment of Pathology, University of Maryland School of Medicine, Baltimore.
Troy MadsenDepartment of Emergency Medicine, University of Utah School of Medicine, Salt Lake City.
Michael R MassoomiDepartment of Cardiology, University of Florida College of Medicine, Gainesville.
James K McCordDepartment of Cardiology, Henry Ford Health System, Detroit, Michigan.
Bryn E MummaDepartment of Emergency Medicine, University of California, Davis School of Medicine, Sacramento.
Richard NowakDepartment of Emergency Medicine, Henry Ford Health System, Detroit, Michigan.
Jason P StopyraDepartment of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Maite Huis In't VeldDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore.
R Gentry WilkersonDepartment of Emergency Medicine, University of Maryland School of Medicine, Baltimore.
Simon A MahlerDepartment of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The European Society of Cardiology (ESC) 0/1-hour algorithm is a validated high-sensitivity cardiac troponin (hs-cTn) protocol for emergency department patients with possible acute coronary syndrome. However, limited data exist regarding its performance in patients with known coronary artery disease (CAD; prior myocardial infarction [MI], coronary revascularization, or ≥70% coronary stenosis). Objective: To evaluate and compare the diagnostic performance of the ESC 0/1-hour algorithm for 30-day cardiac death or MI among patients with and without known CAD and determine if the algorithm could achieve the negative predictive value rule-out threshold of 99% or higher. Design, Setting, and Participants: This was a preplanned subgroup analysis of the STOP-CP prospective multisite cohort study, which was conducted from January 25, 2017, through September 6, 2018, at 8 emergency departments in the US. Patients 21 years or older with symptoms suggestive of acute coronary syndrome without ST-segment elevation on initial electrocardiogram were included. Analysis took place between February and December 2022. Interventions/Exposures: Participants with 0- and 1-hour high-sensitivity cardiac troponin T (hs-cTnT) measures were stratified into rule-out, observation, and rule-in zones using the ESC 0/1-hour hs-cTnT algorithm. Main Outcomes and Measures: Cardiac death or MI at 30 days determined by expert adjudicators. Results: During the study period, 1430 patients were accrued. In the cohort, 775 individuals (54.2%) were male, 826 (57.8%) were White, and the mean (SD) age was 57.6 (12.8) years. At 30 days, cardiac death or MI occurred in 183 participants (12.8%). Known CAD was present in 449 (31.4%). Among patients with known CAD, the ESC 0/1-hour algorithm classified 178 of 449 (39.6%) into the rule-out zone compared with 648 of 981 (66.1%) without CAD (P < .001). Among rule-out zone patients, 30-day cardiac death or MI occurred in 6 of 178 patients (3.4%) with known CAD and 7 of 648 (1.1%) without CAD (P < .001). The negative predictive value for 30-day cardiac death or MI was 96.6% (95% CI, 92.8-98.8) among patients with known CAD and 98.9% (95% CI, 97.8-99.6) in patients without known CAD (P = .04). Conclusions and Relevance: Among patients with known CAD, the ESC 0/1-hour hs-cTnT algorithm was unable to safely exclude 30-day cardiac death or MI. This suggests that clinicians should be cautious if using the algorithm in patients with known CAD. The negative predictive value was significantly higher in patients without a history of CAD but remained less than 99%.

Indexed as

Acute Coronary SyndromeCardiologyCoronary Artery DiseaseAlgorithmsBiomarkersChest PainCohort StudiesDeathFemaleHumansMaleMiddle AgedProspective StudiesTroponin TBiomarkersTroponin T

Identifiers

PMID36857071
PMCPMC9979014

What OpenQuestion holds

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Registered trials

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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.