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Biomarkers and cardiovascular events in patients with stable coronary disease in the ISCHEMIA Trials.
Newman, Jonathan D; Anthopolos, Rebecca; Ruggles, Kelly V; Cornwell, Macintosh; Reynolds, Harmony R; Bangalore, Sripal; Mavromatis, Kreton; Held, Claes; Wallentin, Lars; Kullo, Iftikar J; McManus, Bruce; Newby, L Kristin K; Rosenberg, Yves; Hochman, Judith S; Maron, David J; Berger, Jeffrey S.
Afiliação
  • Newman JD; Department of Medicine, NYU Grossman School of Medicine, New York, NY. Electronic address: Jonathan.Newman@nyumc.org.
  • Anthopolos R; Division of Biostatistics, Department of Population Health, NYU Langone Health, New York, NY.
  • Ruggles KV; Department of Medicine, NYU Grossman School of Medicine, New York, NY.
  • Cornwell M; Department of Medicine, NYU Grossman School of Medicine, New York, NY.
  • Reynolds HR; Department of Medicine, NYU Grossman School of Medicine, New York, NY.
  • Bangalore S; Department of Medicine, NYU Grossman School of Medicine, New York, NY.
  • Mavromatis K; Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA.
  • Held C; Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.
  • Wallentin L; Department of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.
  • Kullo IJ; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
  • McManus B; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Newby LKK; Division of Cardiology, Department of Medicine, Duke Clinical Research Institute, Durham, NC.
  • Rosenberg Y; Division of Cardiovascular Sciences, National Health Lung and Blood Institute, National Institute of Health, Bethesda, MD.
  • Hochman JS; Department of Medicine, NYU Grossman School of Medicine, New York, NY.
  • Maron DJ; Department of Medicine, Stanford University, Stanford, CA.
  • Berger JS; Department of Medicine, NYU Grossman School of Medicine, New York, NY.
Am Heart J ; 266: 61-73, 2023 12.
Article em En | MEDLINE | ID: mdl-37604357
IMPORTANCE: Biomarkers may improve prediction of cardiovascular events for patients with stable coronary artery disease (CAD), but their importance in addition to clinical tests of inducible ischemia and CAD severity is unknown. OBJECTIVES: To evaluate the prognostic value of multiple biomarkers in stable outpatients with obstructive CAD and moderate or severe inducible ischemia. DESIGN AND SETTING: The ISCHEMIA and ISCHEMIA CKD trials randomized 5,956 participants with CAD to invasive or conservative management from July 2012 to January 2018; 1,064 participated in the biorepository. MAIN OUTCOME MEASURES: Primary outcome was cardiovascular death, myocardial infarction (MI), or hospitalization for unstable angina, heart failure, or resuscitated cardiac arrest. Secondary outcome was cardiovascular death or MI. Improvements in prediction were assessed by cause-specific hazard ratios (HR) and area under the receiver operating characteristics curve (AUC) for an interquartile increase in each biomarker, controlling for other biomarkers, in a base clinical model of risk factors, left ventricular ejection fraction (LVEF) and ischemia severity. Secondary analyses were performed among patients in whom core-lab confirmed severity of CAD was ascertained by computed cardiac tomographic angiography (CCTA). EXPOSURES: Baseline levels of interleukin-6 (IL-6), high sensitivity troponin T (hsTnT), growth differentiation factor 15 (GDF-15), N-terminal pro-B-type natriuretic peptide (NT-proBNP), lipoprotein a (Lp[a]), high sensitivity C-reactive protein (hsCRP), Cystatin C, soluble CD 40 ligand (sCD40L), myeloperoxidase (MPO), and matrix metalloproteinase 3 (MMP3). RESULTS: Among 757 biorepository participants, median (IQR) follow-up was 3 (2-5) years, age was 67 (61-72) years, and 144 (19%) were female; 508 had severity of CAD by CCTA available. In an adjusted multimarker model with hsTnT, GDF-15, NT-proBNP and sCD40L, the adjusted HR for the primary outcome per interquartile increase in each biomarker was 1.58 (95% CI 1.22, 2.205), 1.60 (95% CI 1.16, 2.20), 1.61 (95% 1.22, 2.14), and 1.46 (95% 1.12, 1.90), respectively. The adjusted multimarker model also improved prediction compared with the clinical model, increasing the AUC from 0.710 to 0.792 (P < .01) and 0.714 to 0.783 (P < .01) for the primary and secondary outcomes, respectively. Similar findings were observed after adjusting for core-lab confirmed atherosclerosis severity. CONCLUSIONS AND RELEVANCE: Among ISCHEMIA biorepository participants, biomarkers of myocyte injury/distension, inflammation, and platelet activity improved cardiovascular event prediction in addition to risk factors, LVEF, and assessments of ischemia and atherosclerosis severity. These biomarkers may improve risk stratification for patients with stable CAD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Aterosclerose / Infarto do Miocárdio Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Revista: Am Heart J Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Aterosclerose / Infarto do Miocárdio Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Revista: Am Heart J Ano de publicação: 2023 Tipo de documento: Article