Evidence map›Paper›PMID 37158171›Full record

ArticleJournal of the American Heart Association2023

Rising and Falling High-Sensitivity Cardiac Troponin in Diagnostic Algorithms for Patients With Suspected Myocardial Infarction.

Paul M Haller, Nils A Sörensen, Tau S Hartikainen, Alina Goßling, Jonas Lehmacher, Betül Toprak, Raphael Twerenbold, Janine Richter, Thorben Banko, Solaf Korschid and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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.

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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

16 authors at 2 institutions in 2 countries.

Paul M HallerDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0002-7714-4446
Nils A SörensenDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0002-7571-4847
Tau S HartikainenDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0003-0966-7250
Alina GoßlingDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0002-5211-5593
Jonas LehmacherDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.
Betül ToprakDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0002-5233-0680
Raphael TwerenboldDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0003-3814-6542
Janine RichterDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.
Thorben BankoDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.
Solaf KorschidDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0002-7943-501X
Jakob SchmidtDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0001-7283-5240
Till KellerDepartment of Internal Medicine I, Cardiology Justus-Liebig-University Gießen Gießen Germany.
Tanja ZellerDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.
Stefan BlankenbergDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0001-6488-2362
Dirk WestermannDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0002-7542-1956
Johannes T NeumannDepartment of Cardiology University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf Hamburg Germany.ORCID 0000-0002-9478-2757
Universität Hamburg · DEJustus-Liebig-Universität Gießen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background High-sensitivity cardiac troponin (hs-cTn)-based diagnostic algorithms are recommended for the management of patients with suspected myocardial infarction (MI) without ST elevation. Although mirroring different phases of myocardial injury, falling and rising troponin patterns (FPs and RPs, respectively) are equally considered by most algorithms. We aimed to compare the performance of diagnostic protocols for RPs and FPs, separately. Methods and Results We pooled 2 prospective cohorts of patients with suspected MI and stratified patients to stable, FP, and RP during serial sampling separately for hs-cTnI and hs-cTnT and applied the European Society of Cardiology 0/1- and 0/3-hour algorithms comparing the positive predictive values to rule in MI. Overall, 3523 patients were included in the hs-cTnI study population. The positive predictive value for patients with an FP was significantly reduced compared with patients with an RP (0/1-hour: FP, 53.3% [95% CI, 45.0-61.4] versus RP, 76.9 [95% CI, 71.6-81.7]; 0/3-hour: FP, 56.9% [95% CI, 42.2-70.7] versus RP, 78.1% [95% CI, 74.0-81.8]). The proportion of patients in the observe zone was larger in the FP using 0/1-hour (31.3% versus 55.8%) and 0/3-hour (14.6% versus 38.6%) algorithms. Alternative cutoffs did not improve algorithm performances. Compared with stable hs-cTn, the risk for death or MI was highest in those with an FP (adjusted hazard ratio [HR], hs-cTnI 2.3 [95% CI, 1.7-3.2]; RP adjusted HR, hs-cTnI 1.8 [95% CI, 1.4-2.4]). Findings were similar for hs-cTnT tested in 3647 patients overall. Conclusions The positive predictive value to rule in MI by the European Society of Cardiology 0/1- and 0/3-hour algorithms is significantly lower in patients with FP than RP. These are at highest risk for incident death or MI.

Indexed as

Myocardial InfarctionAlgorithmsBiomarkersHumansProspective StudiesTime FactorsTroponin ITroponin TBiomarkersTroponin ITroponin Tfalling patternhigh‐sensitivity cardiac troponinmyocardial infarctionrising patternrule inrule out

Identifiers

PMID37158171
PMCPMC10227300
OpenAlexW4375955994

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.