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Prognostic value of 12 novel cardiological biomarkers in stable coronary artery disease. A 10-year follow-up of the placebo group of the Copenhagen CLARICOR trial

Authors :
Per Winkel
Jørgen Hilden
Erik Kjøller
Ahmad Sajadieh
Jens Kastrup
Hans Jørn Kolmos
Anders Larsson
Johan Ärnlöv
Christian Gluud
Kasper Karmark Iversen
Gorm Boje Jensen
Mette Bjerre
Source :
BMJ Open, Vol 10, Iss 8 (2020)
Publication Year :
2020
Publisher :
BMJ Publishing Group, 2020.

Abstract

Objective To assess if 12 novel circulating biomarkers, when added to ‘standard predictors’ available in general practice, could improve the 10-year prediction of cardiovascular events and mortality in patients with stable coronary heart disease.Design The patients participated as placebo receiving patients in the randomised clarithromycin for patients with stable coronary artery disease (CLARICOR) trial at a random time in their disease trajectory.Setting Five Copenhagen University cardiology departments and a coordinating centre.Participants 1998 participants with stable coronary artery disease.Outcomes Death and composite of myocardial infarction, unstable angina pectoris, cerebrovascular disease and death.Results When only ‘standard predictors’ were included, 83.4% of all-cause death predictions and 68.4% of composite outcome predictions were correct. Log(calprotectin) and log(cathepsin-S) were not associated (p≥0.01) with the outcomes, not even as single predictors. Adding the remaining 10 biomarkers (high-sensitive assay cardiac troponin T; neutrophil gelatinase-associated lipocalin; osteoprotegerin; N-terminal pro-B-type natriuretic peptide; tumour necrosis factor receptor 1 and 2; pregnancy-associated plasma protein A; endostatin; YKL40; cathepsin-B), which were all individually significantly associated with the prediction of the two outcomes, increased the figures to 84.7% and 69.7%.Conclusion When ‘standard predictors’ routinely available in general practices are used for risk assessment in consecutively sampled patients with stable coronary artery disease, the addition of 10 novel biomarkers to the prediction model improved the correct prediction of all-cause death and the composite outcome by

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
20446055
Volume :
10
Issue :
8
Database :
Directory of Open Access Journals
Journal :
BMJ Open
Publication Type :
Academic Journal
Accession number :
edsdoj.6b24de0522e94d5a897eb0bdd7ac0592
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjopen-2019-033720