Literature DB >> 25697916

Multimarker testing with ST2 in chronic heart failure.

Antoni Bayes-Genis1, A Mark Richards2, Alan S Maisel3, Christian Mueller4, Bonnie Ky5.   

Abstract

Despite important progress in recent decades, mortality remains high for patients with chronic heart failure. Risk stratification may be refined by the use of biomarkers for different pathophysiological processes that established mortality risk factors do not directly reflect. Biomarkers that are currently available can provide information about at least 7 pathobiological processes operative in HF, help to identify the specific processes involved in individual patients, and aid in constructing management plans. However, the additional prognostic information gained by any biomarker over a clinical risk model plus other biomarkers needs to be determined with adequate statistical tools. A major problem in selecting a biomarker profile is the proportional increase in economic burden; thus, the addition of any biomarker to a profile should be justified by adequate discrimination, calibration, reclassification, and likelihood analyses. Three studies that implemented such rigorous analyses have assessed a multimarker panel in chronic heart failure that incorporated the biomarker ST2: the Penn HF Study, the Barcelona Study, and the ProBNP Outpatient Tailored Chronic Heart Failure (PROTECT) biomarker substudy. In all 3 studies, a multimarker panel appeared to provide significant information over conventional risk stratification. The latter 2 reports proposed that ST2 might be superior to natriuretic peptides. The Barcelona Bio-HF calculator (www.bcnbiohfcalculator.cat) is a novel risk calculator that considers clinical variables, treatment, and biomarkers (i.e., N terminal pro-brain natriuretic peptide [NT-proBNP], ST2, and high sensitivity troponin T [hsTnT]). The optimal panel of markers, the change in these markers over time, and how these changes might help guide therapeutic interventions remain to be defined.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25697916     DOI: 10.1016/j.amjcard.2015.01.045

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  4 in total

1.  Down-Regulation of miR-101 Contributes to Rheumatic Heart Disease Through Up-Regulating TLR2.

Authors:  Hai Dong; Yongmei Sun; Feng Shan; Qiang Sun; Bingxin Yang
Journal:  Med Sci Monit       Date:  2015-05-25

2.  sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction.

Authors:  Maëlle Plawecki; Marion Morena; Nils Kuster; Leila Chenine; Hélène Leray-Moragues; Bernard Jover; Pierre Fesler; Manuela Lotierzo; Anne-Marie Dupuy; Kada Klouche; Jean-Paul Cristol
Journal:  Mediators Inflamm       Date:  2018-10-08       Impact factor: 4.711

3.  Cardiovascular Biomarkers for Prediction of in-hospital and 1-Year Post-discharge Mortality in Patients With COVID-19 Pneumonia.

Authors:  Lukas J Motloch; Peter Jirak; Diana Gareeva; Paruir Davtyan; Ruslan Gumerov; Irina Lakman; Aleksandr Tataurov; Rustem Zulkarneev; Ildar Kabirov; Benzhi Cai; Bairas Valeev; Valentin Pavlov; Kristen Kopp; Uta C Hoppe; Michael Lichtenauer; Lukas Fiedler; Rudin Pistulli; Naufal Zagidullin
Journal:  Front Med (Lausanne)       Date:  2022-06-28

4.  Biomarkers in patients with heart failure and central sleep apnoea: findings from the SERVE-HF trial.

Authors:  João Pedro Ferreira; Kévin Duarte; Holger Woehrle; Martin R Cowie; Karl Wegscheider; Christiane Angermann; Marie-Pia d'Ortho; Erland Erdmann; Patrick Levy; Anita K Simonds; Virend K Somers; Helmut Teschler; Patrick Rossignol; Wolfgang Koenig; Faiez Zannad
Journal:  ESC Heart Fail       Date:  2020-01-17
  4 in total

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