Articles producció científicaCiències Mèdiques Bàsiques

A 3-Biomarker 2-Point-Based Risk Stratification Strategy in Acute Heart Failure

  • Dades identificatives

    Identificador:  imarina:9378540
    Autors:  Álvarez-García J; García-Osuna Á; Vives-Borrás M; Ferrero-Gregori A; Martínez-Sellés M; Vázquez R; González-Juanatey JR; Rivera M; Segovia J; Pascual-Figal D; Bover R; Bascompte R; Delgado J; Grau Sepúlveda A; Bardají A; Pérez-Villa F; Zamorano JL; Crespo-Leiro M; Sánchez PL; Ordoñez-Llanos J; Cinca J
    Resum:
    Introduction and Objectives: Most multi-biomarker strategies in acute heart failure (HF) have only measured biomarkers in a single-point time. This study aimed to evaluate the prognostic yielding of NT-proBNP, hsTnT, Cys-C, hs-CRP, GDF15, and GAL-3 in HF patients both at admission and discharge. Methods: We included 830 patients enrolled consecutively in a prospective multicenter registry. Primary outcome was 12-month mortality. The gain in the C-index, calibration, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) was calculated after adding each individual biomarker value or their combination on top of the best clinical model developed in this study (C-index 0.752, 0.715–0.789) and also on top of 4 currently used scores (MAGGIC, GWTG-HF, Redin-SCORE, BCN-bioHF). Results: After 12-month, death occurred in 154 (18.5%) cases. On top of the best clinical model, the addition of NT-proBNP, hs-CRP, and GDF-15 above the respective cutoff point at admission and discharge and their delta during compensation improved the C-index to 0.782 (0.747–0.817), IDI by 5% (p < 0.001), and NRI by 57% (p < 0.001) for 12-month mortality. A 4-risk grading categories for 12-month mortality (11.7, 19.2, 26.7, and 39.4%, respectively; p < 0.001) were obtained using combination of these biomarkers. Conclusion: A model including NT-proBNP, hs-CRP, and GDF-15 measured at admission and discharge afforded a mortality risk prediction greater than our clinical model and also better than the most currently used scores. In addition, this 3-biomarker panel defined 4-risk categories for 12-month mortality.
  • Altres:

    Autor segons l'article: Álvarez-García J; García-Osuna Á; Vives-Borrás M; Ferrero-Gregori A; Martínez-Sellés M; Vázquez R; González-Juanatey JR; Rivera M; Segovia J; Pascual-Figal D; Bover R; Bascompte R; Delgado J; Grau Sepúlveda A; Bardají A; Pérez-Villa F; Zamorano JL; Crespo-Leiro M; Sánchez PL; Ordoñez-Llanos J; Cinca J
    Departament: Ciències Mèdiques Bàsiques
    Autor/s de la URV: Bardají Ruiz, Alfredo
    Paraules clau: Risk stratification; Prognosis; Panel (c33); Biomarker (bm); Acute heart failure (ahf)
    Resum: Introduction and Objectives: Most multi-biomarker strategies in acute heart failure (HF) have only measured biomarkers in a single-point time. This study aimed to evaluate the prognostic yielding of NT-proBNP, hsTnT, Cys-C, hs-CRP, GDF15, and GAL-3 in HF patients both at admission and discharge. Methods: We included 830 patients enrolled consecutively in a prospective multicenter registry. Primary outcome was 12-month mortality. The gain in the C-index, calibration, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) was calculated after adding each individual biomarker value or their combination on top of the best clinical model developed in this study (C-index 0.752, 0.715–0.789) and also on top of 4 currently used scores (MAGGIC, GWTG-HF, Redin-SCORE, BCN-bioHF). Results: After 12-month, death occurred in 154 (18.5%) cases. On top of the best clinical model, the addition of NT-proBNP, hs-CRP, and GDF-15 above the respective cutoff point at admission and discharge and their delta during compensation improved the C-index to 0.782 (0.747–0.817), IDI by 5% (p < 0.001), and NRI by 57% (p < 0.001) for 12-month mortality. A 4-risk grading categories for 12-month mortality (11.7, 19.2, 26.7, and 39.4%, respectively; p < 0.001) were obtained using combination of these biomarkers. Conclusion: A model including NT-proBNP, hs-CRP, and GDF-15 measured at admission and discharge afforded a mortality risk prediction greater than our clinical model and also better than the most currently used scores. In addition, this 3-biomarker panel defined 4-risk categories for 12-month mortality.
    Grup de recerca: Grup de Recerca en Diabetis i co-morbiditats associades
    Àrees temàtiques: Zootecnia / recursos pesqueiros; Saúde coletiva; Química; Psicología; Physiology (medical); Physiology; Odontología; Nutrição; Medicina veterinaria; Medicina iii; Medicina ii; Medicina i; Interdisciplinar; Farmacia; Ensino; Engenharias iv; Educação física; Ciências biológicas iii; Ciências biológicas ii; Ciências biológicas i; Ciências ambientais; Ciências agrárias i; Ciência de alimentos; Biotecnología; Astronomia / física; Administração pública e de empresas, ciências contábeis e turismo
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: alfredo.bardaji@urv.cat
    Data d'alta del registre: 2024-10-12
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Referència a l'article segons font original: Frontiers In Physiology. 12
    Referència de l'ítem segons les normes APA: Álvarez-García J; García-Osuna Á; Vives-Borrás M; Ferrero-Gregori A; Martínez-Sellés M; Vázquez R; González-Juanatey JR; Rivera M; Segovia J; Pascual- (2021). A 3-Biomarker 2-Point-Based Risk Stratification Strategy in Acute Heart Failure. Frontiers In Physiology, 12(), -. DOI: 10.3389/fphys.2021.708890
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.3389/fphys.2021.708890
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2021
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Physiology,Physiology (Medical)
    Risk stratification
    Prognosis
    Panel (c33)
    Biomarker (bm)
    Acute heart failure (ahf)
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Psicología
    Physiology (medical)
    Physiology
    Odontología
    Nutrição
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    Farmacia
    Ensino
    Engenharias iv
    Educação física
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
    Astronomia / física
    Administração pública e de empresas, ciências contábeis e turismo
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