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Acute Coronary Syndrome Subphenotypes Based on Repeated Biomarker Measurements in Relation to Long-Term Mortality Risk.
de Bakker, Marie; Scholte, Niels T B; Oemrawsingh, Rohit M; Umans, Victor A; Kietselaer, Bas; Schotborgh, Carl; Ronner, Eelko; Lenderink, Timo; Aksoy, Ismail; van der Harst, Pim; Asselbergs, Folkert W; Maas, Arthur; Oude Ophuis, Anton J; Krenning, Boudewijn; de Winter, Robbert J; The, S Hong Kie; Wardeh, Alexander J; Hermans, Walter; Cramer, G Etienne; van Schaik, Ron H; de Rijke, Yolanda B; Akkerhuis, K Martijn; Kardys, Isabella; Boersma, Eric.
Afiliação
  • de Bakker M; Department of Cardiology Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands.
  • Scholte NTB; Department of Cardiology Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands.
  • Oemrawsingh RM; Department of Cardiology Albert Schweitzer Ziekenhuis Dordrecht The Netherlands.
  • Umans VA; Department of Cardiology Noordwest Ziekenhuisgroep Alkmaar The Netherlands.
  • Kietselaer B; Department of Cardiology Mayo Clinic Rochester MN USA.
  • Schotborgh C; Department of Cardiology HagaZiekenhuis Den Haag The Netherlands.
  • Ronner E; Department of Cardiology Reinier de Graaf Hospital Delft The Netherlands.
  • Lenderink T; Department of Cardiology Zuyderland Hospital Heerlen The Netherlands.
  • Aksoy I; Department of Cardiology Admiraal de Ruyter Hospital Goes The Netherlands.
  • van der Harst P; Department of Cardiology University Medical Center Utrecht Utrecht The Netherlands.
  • Asselbergs FW; Amsterdam University Medical Centers, Department of Cardiology University of Amsterdam Amsterdam The Netherlands.
  • Maas A; Health Data Research UK and Institute of Health Informatics University College London London United Kingdom.
  • Oude Ophuis AJ; Department of Cardiology Gelre Hospital Zutphen The Netherlands.
  • Krenning B; Department of Cardiology Canisius-Wilhelmina Hospital Nijmegen The Netherlands.
  • de Winter RJ; Department of Cardiology Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands.
  • The SHK; Department of Cardiology Franciscus Gasthuis & Vlietland Rotterdam The Netherlands.
  • Wardeh AJ; Amsterdam University Medical Centers, Department of Cardiology University of Amsterdam Amsterdam The Netherlands.
  • Hermans W; Department of Cardiology Treant Zorggroep Emmen The Netherlands.
  • Cramer GE; Department of Cardiology Haaglanden Medisch Centrum Den Haag The Netherlands.
  • van Schaik RH; Department of Cardiology Elizabeth-Tweesteden Hospital Tilburg The Netherlands.
  • de Rijke YB; Department of Cardiology Radboud University Medical Center Nijmegen Nijmegen The Netherlands.
  • Akkerhuis KM; Department of Clinical Chemistry Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands.
  • Kardys I; Department of Clinical Chemistry Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands.
  • Boersma E; Department of Cardiology Erasmus MC, University Medical Center Rotterdam Rotterdam The Netherlands.
J Am Heart Assoc ; 13(2): e031646, 2024 Jan 16.
Article em En | MEDLINE | ID: mdl-38214281
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-frequency 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-term 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.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Síndrome Coronariana Aguda Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Am Heart Assoc Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: Síndrome Coronariana Aguda Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Am Heart Assoc Ano de publicação: 2024 Tipo de documento: Article