Acute coronary syndrome subphenotypes based on repeated biomarker measurements in relation to long-term mortality risk
Publication date
2024-01-16
Editors
Advisors
Supervisors
Document Type
Article
Metadata
Show full item recordCollections
License
cc_by_nc_nd
Abstract
BACKGROUND: We aimed to identify patients with subphenotypes of postacute coronary syndrome (ACS) using repeated measurements of high- sensitivity cardiac troponin T, N- terminal pro- B- type natriuretic peptide, high- sensitivity C- reactive protein, and growth differentiation factor 15 in the year after the index admission, and to investigate their association with long- term mortality risk. METHODS AND RESULTS: BIOMArCS (BIOMarker Study to Identify the Acute Risk of a Coronary Syndrome) was an observational study of patients with ACS, who underwent high-f requency blood sampling for 1 year. Biomarkers were measured in a median of 16 repeated samples per individual. Cluster analysis was performed to identify biomarker- based subphenotypes in 723 patients without a repeat ACS in the first year. Patients with a repeat ACS (N=36) were considered a separate cluster. Differences in all- cause death were evaluated using accelerated failure time models (median follow- up, 9.1 years; 141 deaths). Three biomarker- based clusters were identified: Cluster 1 showed low and stable biomarker concentrations, cluster 2 had elevated concentrations that subsequently decreased, and cluster 3 showed persistently elevated concentrations. The temporal biomarker patterns of patients in cluster 3 were similar to those with a repeat ACS during the first year. Clusters 1 and 2 had a similar and favorable long- term mortality risk. Cluster 3 had the highest mortality risk. The adjusted survival time ratio was 0.64 (95% CI, 0.44–0.93; P=0.018) compared with cluster 1, and 0.71 (95% CI, 0.39–1.32; P=0.281) compared with patients with a repeat ACS. CONCLUSIONS: Patients with subphenotypes of post- ACS with different all- cause mortality risks during long-t erm follow- up can be identified on the basis of repeatedly measured cardiovascular biomarkers. Patients with persistently elevated biomarkers have the worst outcomes, regardless of whether they experienced a repeat ACS in the first year.
Keywords
Acute coronary syndrome, Cardiovascular biomarkers, Death, Phenotypes, Repeated measurements, Cardiology and Cardiovascular Medicine
Citation
De Bakker, M, Scholte, N T B, Oemrawsingh, R M, Umans, V A, Kietselaer, B, Schotborgh, C, Ronner, E, Lenderink, T, Aksoy, I, Van Der Harst, P, Asselbergs, F W, Maas, A, Ophuis, A J O, Krenning, B, De Winter, R J, Kie The, S H, Wardeh, A J, Hermans, W, Cramer, G E, Van Schaik, R H, De Rijke, Y B, Akkerhuis, K M, Kardys, I, Boersma, E & BIOMArCS Investigators 2024, 'Acute coronary syndrome subphenotypes based on repeated biomarker measurements in relation to long-term mortality risk', Journal of the American Heart Association, vol. 13, no. 2, e031646. https://doi.org/10.1161/JAHA.123.031646