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Biomarker-Based Prediction of Recurrent Ischemic Events in Patients With Acute Coronary Syndromes
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Uppsala Clinical Research Center (UCR). Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology.ORCID iD: 0000-0002-2480-9547
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Disciplinary Domain of Medicine and Pharmacy, research centers etc., Uppsala Clinical Research Center (UCR).ORCID iD: 0000-0002-6473-8798
Univ Cincinnati, Coll Med, Div Cardiovasc Hlth & Dis, Heart Lung & Vasc Inst, Cincinnati, OH USA..
Stanford Univ, Dept Med, Stanford, CA USA..
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2022 (English)In: Journal of the American College of Cardiology, ISSN 0735-1097, E-ISSN 1558-3597, Vol. 80, no 18, p. 1735-1747Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: In patients with acute coronary syndrome (ACS), there is residual and variable risk of recurrent ischemic events.

OBJECTIVES: This study aimed to develop biomarker-based prediction models for 1-year risk of cardiovascular (CV) death and myocardial infarction (MI) in patients with ACS undergoing percutaneous coronary intervention.

METHODS: We included 10,713 patients from the PLATO (A Comparison of Ticagrelor [AZD6140] and Clopidogrel in Patients With Acute Coronary Syndrome) trial in the development cohort and externally validated in 3,508 patients from the TRACER (Thrombin Receptor Antagonist for Clinical Event Reduction in Acute Coronary Syndrome) trial. Variables contributing to risk of CV death/MI were assessed using Cox regression models, and a score was derived using subsets of variables approximating the full model.

RESULTS: There were 632 and 190 episodes of CV death/MI in the development and validation cohorts. The most important predictors of CV death/MI were the biomarkers, growth differentiation factor 15, and N-terminal pro-B-type natriuretic peptide, which had greater prognostic value than all candidate variables. The final model included 8 items: age (A), biomarkers (B) (growth differentiation factor 15 and N-terminal pro-B-type natriuretic peptide), and clinical variables (C) (extent of coronary artery disease, previous vascular disease, Killip class, ACS type, P2Y12 inhibitor). The model, named ABC-ACS ischemia, was well calibrated and showed good discriminatory ability for 1-year risk of CV death/MI with C-indices of 0.71 and 0.72 in the development and validation cohorts, respectively. For CV death, the score performed better, with C-indices of 0.80 and 0.84 in the development and validation cohorts, respectively.

CONCLUSIONS: An 8-item score for the prediction of CV death/MI was developed and validated for patients with ACS undergoing percutaneous coronary intervention. The ABC-ACS ischemia score showed good calibration and discrimination and might be useful for risk prediction and decision support in patients with ACS. (A Comparison of Ticagrelor [AZD6140] and Clopidogrel in Patients With Acute Coronary Syndrome [PLATO]; NCT00391872; Trial to Assess the Effects of Vorapaxar [SCH 530348; MK-5348] in Preventing Heart Attack and Stroke in Participants With Acute Coronary Syndrome [TRACER]; NCT00527943)

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 80, no 18, p. 1735-1747
Keywords [en]
acute coronary syndrome, biomarkers, cardiovascular death, percutaneous coronary intervention, risk score
National Category
Cardiology and Cardiovascular Disease
Identifiers
URN: urn:nbn:se:uu:diva-489594DOI: 10.1016/j.jacc.2022.08.767ISI: 000882460400011PubMedID: 36302586OAI: oai:DiVA.org:uu-489594DiVA, id: diva2:1715475
Available from: 2022-12-02 Created: 2022-12-02 Last updated: 2025-02-10Bibliographically approved

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Batra, GoravLindbäck, JohanHeld, ClaesJames, StefanSiegbahn, AgnetaWallentin, Lars

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