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A 3-Biomarker 2-Point-Based Risk Stratification Strategy in Acute Heart Failure
Identificadores del recurso
alvarez-Garcia J, Garcia-Osuna A, Vives-Borras M, Ferrero-Gregori A, Martinez-Selles M, Vazquez R, et al. A 3-Biomarker 2-Point-Based Risk Stratification Strategy in Acute Heart Failure. Front Physiol. 2021 Oct 22;12:708890.
https://hdl.handle.net/20.500.13003/19399
10.3389/fphys.2021.708890
1664-042X
34744758
L636379719
2-s2.0-85118711903
716498400001
Procedència
(Docusalut. Repositorio institucional del sistema sanitario público de las Islas Baleares)

Fitxa

Títol:
A 3-Biomarker 2-Point-Based Risk Stratification Strategy in Acute Heart Failure
Tema:
biomarker (BM)
panel (C33)
acute heart failure (AHF)
risk stratification
prognosis
Descripció:
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.
This work was supported by grants from Redes Tematicas de Investigacion Cooperativa en Salud del Instituto de Salud Carlos III (REDINSCOR), Madrid, Spain (grant no. RD06-0003-0000) and Red de Investigacion Cardiovascular del Instituto de Salud Carlos III (RIC), Madrid, Spain (grant no. RD12/0042/0002).
Idioma:
English
Autor/Productor:
alvarez-Garcia, Jesus
Garcia-Osuna, Alvaro
Vives-Borrás, Miquel
Ferrero-Gregori, andreu
Martinez-Selles, Manuel
Vazquez, Rafael
Gonzalez-Juanatey, Jose R.
Rivera, Miguel
Segovia, Javier
Pascual-Figal, Domingo
Bover, Ramon
Bascompte, Ramon
Delgado, Juan
Grau-Sepúlveda, Andrés
Bardaji, Alfredo
Perez-Villa, Felix
Zamorano, Jose Luis
Crespo-Leiro, Marisa
Sanchez, Pedro Luis
Ordonez-Llanos, Jordi
Cinca, Juan
Spanish Heart Failure Network
Editor:
Frontiers Media Sa
Drets:
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
open access
Data:
2023-09-26T17:55:41Z
2021-10-22
Tipo de recurso:
research article
Format:
application/pdf

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    24. <dcterms:abstract>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.</dcterms:abstract>

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      24. <dc:description>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.</dc:description>

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            1. <field name="value">alvarez-Garcia, Jesus</field>

            2. <field name="value">Garcia-Osuna, Alvaro</field>

            3. <field name="value">Vives-Borrás, Miquel</field>

            4. <field name="value">Ferrero-Gregori, andreu</field>

            5. <field name="value">Martinez-Selles, Manuel</field>

            6. <field name="value">Vazquez, Rafael</field>

            7. <field name="value">Gonzalez-Juanatey, Jose R.</field>

            8. <field name="value">Rivera, Miguel</field>

            9. <field name="value">Segovia, Javier</field>

            10. <field name="value">Pascual-Figal, Domingo</field>

            11. <field name="value">Bover, Ramon</field>

            12. <field name="value">Bascompte, Ramon</field>

            13. <field name="value">Delgado, Juan</field>

            14. <field name="value">Grau-Sepúlveda, Andrés</field>

            15. <field name="value">Bardaji, Alfredo</field>

            16. <field name="value">Perez-Villa, Felix</field>

            17. <field name="value">Zamorano, Jose Luis</field>

            18. <field name="value">Crespo-Leiro, Marisa</field>

            19. <field name="value">Sanchez, Pedro Luis</field>

            20. <field name="value">Ordonez-Llanos, Jordi</field>

            21. <field name="value">Cinca, Juan</field>

            22. <field name="value">Spanish Heart Failure Network</field>

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            1. <field name="value">2023-09-26T17:55:41Z</field>

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            1. <field name="value">2023-09-26T17:55:41Z</field>

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            1. <field name="value">2021-10-22</field>

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            1. <field name="value">alvarez-Garcia J, Garcia-Osuna A, Vives-Borras M, Ferrero-Gregori A, Martinez-Selles M, Vazquez R, et al. A 3-Biomarker 2-Point-Based Risk Stratification Strategy in Acute Heart Failure. Front Physiol. 2021 Oct 22;12:708890.</field>

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            1. <field name="value">https://hdl.handle.net/20.500.13003/19399</field>

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            1. <field name="value">10.3389/fphys.2021.708890</field>

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            1. <field name="value">1664-042X</field>

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            1. <field name="value">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.</field>

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            1. <field name="value">This work was supported by grants from Redes Tematicas de Investigacion Cooperativa en Salud del Instituto de Salud Carlos III (REDINSCOR), Madrid, Spain (grant no. RD06-0003-0000) and Red de Investigacion Cardiovascular del Instituto de Salud Carlos III (RIC), Madrid, Spain (grant no. RD12/0042/0002).</field>

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          1. <field name="value">A 3-Biomarker 2-Point-Based Risk Stratification Strategy in Acute Heart Failure</field>

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            1. <field name="value">biomarker (BM)</field>

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