Evidence map›Paper›PMID 35024819›Full record

ArticleEuropean heart journal. Acute cardiovascular care2022

Adding stress biomarkers to high-sensitivity cardiac troponin for rapid non-ST-elevation myocardial infarction rule-out protocols.

Ingar Ziad Restan, Ana Yufera Sanchez, Ole-Thomas Steiro, Pedro Lopez-Ayala, Hilde L Tjora, Jørund Langørgen, Torbjørn Omland, Jasper Boeddinghaus, Thomas Nestelberger, Luca Koechlin and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal. Acute cardiovascular care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 4 countries.

Ingar Ziad RestanDepartment of Cardiology, Stavanger University Hospital, Pb. 8100, 4068 Stavanger, Norway.ORCID 0000-0001-8922-7014
Ana Yufera SanchezDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
Ole-Thomas SteiroDepartment of Heart Disease, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0003-2520-9436
Pedro Lopez-AyalaDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-7787-0640
Hilde L TjoraEmergency Care Clinic, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0003-2577-5497
Jørund LangørgenDepartment of Heart Disease, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0003-3037-054X
Torbjørn OmlandDepartment of Cardiology, Akershus University Hospital, Oslo, Norway.ORCID 0000-0002-6452-0369
Jasper BoeddinghausDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.
Thomas NestelbergerDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0003-2173-5738
Luca KoechlinDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-2929-8600
Paul CollinsonCardiovascular Clinical Academic Group, Molecular and Clinical Sciences Research Institute, St. George's, University of London, London, UK.ORCID 0000-0002-7000-5996
Rune BjørneklettEmergency Care Clinic, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0001-6637-5743
Kjell VikenesDepartment of Heart Disease, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0003-4794-6269
Heidi StrandMultidisciplinary Laboratory Medicine and Medical Biochemistry, Akershus University Hospital, Lørenskog, Norway.
Øyvind SkadbergLaboratory of Clinical Biochemistry, Stavanger University Hospital, Stavanger, Norway.
Øistein R MjelvaDepartment of Cardiology, Stavanger University Hospital, Pb. 8100, 4068 Stavanger, Norway.
Alf Inge LarsenDepartment of Cardiology, Stavanger University Hospital, Pb. 8100, 4068 Stavanger, Norway.ORCID 0000-0002-9141-0499
Vernon V S BonarjeeDepartment of Cardiology, Stavanger University Hospital, Pb. 8100, 4068 Stavanger, Norway.
Christian MuellerDepartment of Cardiology, Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-1120-6405
Kristin M AakreDepartment of Heart Disease, Haukeland University Hospital, Bergen, Norway.ORCID 0000-0002-7340-6736
Haukeland University Hospital · NOStavanger University Hospital · NOUniversity of Basel · CHAkershus University Hospital · NOSt George's, University of London · GBUniversity of British Columbia · CAUniversity of Oslo · NO

Funding

Abbott LaboratoriesBeckman CoulterBRAHMS GmbHEuropean UnionF. Hoffmann-La Roche AGF.Hoffmann-La Roche AGIdorsia Pharmaceuticals LtdKommission für Technologie und InnovationQuidel CorporationSiemens AGSiemens AG, and Singulex IncSingulex IncSwiss Heart FoundationSwiss National Science FoundationUniversity Hospital BaselUniversity of BaselWestern Norway Regional Health Authority 912265Western Norway Regional Health Authority F-12501
6 · The paper itself

Abstract

aimsThis study tested the hypothesis that combining stress-induced biomarkers (copeptin or glucose) with high-sensitivity cardiac troponin (hs-cTn) increases diagnostic accuracy for non-ST-elevation myocardial infarction (NSTEMI) in patients presenting to the emergency department. METHODS AND

resultsThe ability to rule-out NSTEMI for combinations of baseline hs-cTnT or hs-cTnI with copeptin or glucose was compared with the European Society of Cardiology (ESC) hs-cTnT/I-only rule-out algorithms in two independent (one Norwegian and one international multicentre) diagnostic studies. Among 959 patients (median age 64 years, 60.5% male) with suspected NSTEMI in the Norwegian cohort, 13% had NSTEMI. Adding copeptin or glucose to hs-cTnT/I as a continuous variable did not improve discrimination as quantified by the area under the curve {e.g. hs-cTnT/copeptin 0.91 [95% confidence interval (CI) 0.89-0.93] vs. hs-cTnT alone 0.91 (95% CI 0.89-0.93); hs-cTnI/copeptin 0.85 (95% CI 0.82-0.87) vs. hs-cTnI alone 0.93 (95% CI 0.91-0.95)}, nor did adding copeptin <9 mmol/L or glucose <5.6 mmol/L increase the sensitivity of the rule-out provided by hs-cTnT <5 ng/L or hs-cTnI <4 ng/L in patients presenting more than 3 h after chest pain onset (target population in the ESC-0 h-algorithm). The combination decreased rule-out efficacy significantly (both P < 0.01). These findings were confirmed among 1272 patients (median age 62 years, 69.3% male) with suspected NSTEMI in the international validation cohort, of which 20.7% had NSTEMI. A trend towards increased sensitivity for the hs-cTnT/I/copeptin combinations (97-100% vs. 91-97% for the ESC-0 h-rule-out cut-offs) was observed in the Norwegian cohort.

conclusionAdding copeptin or glucose to hs-cTnT/I did not increase diagnostic performance when compared with current ESC guideline hs-cTnT/I-only 0 h-algorithms.

Indexed as

Myocardial InfarctionNon-ST Elevated Myocardial InfarctionBiomarkersFemaleHumansMaleMiddle AgedProspective StudiesTroponin ITroponin TBiomarkersTroponin ITroponin TCardiovascular diseaseCopeptinGlucoseNSTEMINSTEMI rule-outStress biomarkers

Identifiers

PMID35024819
PMCPMC8929978
OpenAlexW4205139062

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.