Articles producció científica> Medicina i Cirurgia

A simple validated method for predicting the risk of hospitalization for worsening of heart failure in ambulatory patients: the Redin-SCORE

  • Identification data

    Identifier: imarina:2575648
    Authors:
    Álvarez-García J, Ferrero-Gregori A, Puig T, Vázquez R, Delgado J, Pascual-Figal D, Alonso-Pulpón L, González-Juanatey JR, Rivera M, Worner F, Bardají A, Cinca J, investigators of the Spanish Heart Failure Network (REDINSCOR).
    Abstract:
    Prevention of hospital readmissions is one of the main objectives in the management of patients with heart failure (HF). Most of the models predicting readmissions are based on data extracted from hospitalized patients rather than from outpatients. Our objective was to develop a validated score predicting 1-month and 1-year risk of readmission for worsening of HF in ambulatory patients.A cohort of 2507 ambulatory patients with chronic HF was prospectively followed for a median of 3.3?years. Clinical, echocardiographic, ECG, and biochemical variables were used in a competing risk regression analysis to construct a risk score for readmissions due to worsening of HF. Thereafter, the score was externally validated using a different cohort of 992 patients with chronic HF (MUSIC registry). Predictors of 1-month readmission were the presence of elevated natriuretic peptides, left ventricular (LV) HF signs, and estimated glomerular filtration rate (eGFR) <60 mL/min/m(2) . Predictors of 1-year readmission were elevated natriuretic peptides, anaemia, left atrial size >26?mm/m(2) , heart rate >70 b.p.m., LV HF signs, and eGFR <60 mL/min/m(2) . The C-statistics for the models were 0.72 and 0.66, respectively. The cumulative incidence function distinguished low-risk (<1% event rate) and high-risk groups (>5% event rate) for 1-month HF readmission. Likewise, low-risk (7.8%), intermediate-risk (15.6%) and high-risk groups (26.1%) were identified for 1-year HF readmission risk. The C-statistics remained consistent after the external validation (<5% loss of discrimination).The Redin-SCORE predicts early and late readmission for worsening of HF using proven prognostic variables that are routinely collected in outpatient management of chronic HF.© 2015 The Authors. European Journal of Hea
  • Others:

    Author, as appears in the article.: Álvarez-García J, Ferrero-Gregori A, Puig T, Vázquez R, Delgado J, Pascual-Figal D, Alonso-Pulpón L, González-Juanatey JR, Rivera M, Worner F, Bardají A, Cinca J, investigators of the Spanish Heart Failure Network (REDINSCOR).
    Department: Medicina i Cirurgia
    URV's Author/s: Bardají Ruiz, Alfredo
    Keywords: Score Readmission Heart failure Death Competing risk readmission heart failure death competing risk
    Abstract: Prevention of hospital readmissions is one of the main objectives in the management of patients with heart failure (HF). Most of the models predicting readmissions are based on data extracted from hospitalized patients rather than from outpatients. Our objective was to develop a validated score predicting 1-month and 1-year risk of readmission for worsening of HF in ambulatory patients.A cohort of 2507 ambulatory patients with chronic HF was prospectively followed for a median of 3.3?years. Clinical, echocardiographic, ECG, and biochemical variables were used in a competing risk regression analysis to construct a risk score for readmissions due to worsening of HF. Thereafter, the score was externally validated using a different cohort of 992 patients with chronic HF (MUSIC registry). Predictors of 1-month readmission were the presence of elevated natriuretic peptides, left ventricular (LV) HF signs, and estimated glomerular filtration rate (eGFR) <60 mL/min/m(2) . Predictors of 1-year readmission were elevated natriuretic peptides, anaemia, left atrial size >26?mm/m(2) , heart rate >70 b.p.m., LV HF signs, and eGFR <60 mL/min/m(2) . The C-statistics for the models were 0.72 and 0.66, respectively. The cumulative incidence function distinguished low-risk (<1% event rate) and high-risk groups (>5% event rate) for 1-month HF readmission. Likewise, low-risk (7.8%), intermediate-risk (15.6%) and high-risk groups (26.1%) were identified for 1-year HF readmission risk. The C-statistics remained consistent after the external validation (<5% loss of discrimination).The Redin-SCORE predicts early and late readmission for worsening of HF using proven prognostic variables that are routinely collected in outpatient management of chronic HF.© 2015 The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.
    Thematic Areas: Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar General medicine Enfermagem Educação física Ciências biológicas ii Ciências biológicas i Cardiology and cardiovascular medicine Cardiac & cardiovascular systems
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: alfredo.bardaji@urv.cat
    Author identifier: 0000-0003-1900-6974
    Record's date: 2024-08-03
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://onlinelibrary.wiley.com/doi/full/10.1002/ejhf.287
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: European Journal Of Heart Failure. 17 (8): 818-827
    APA: Álvarez-García J, Ferrero-Gregori A, Puig T, Vázquez R, Delgado J, Pascual-Figal D, Alonso-Pulpón L, González-Juanatey JR, Rivera M, Worner F, Bardají (2015). A simple validated method for predicting the risk of hospitalization for worsening of heart failure in ambulatory patients: the Redin-SCORE. European Journal Of Heart Failure, 17(8), 818-827. DOI: 10.1002/ejhf.287
    Article's DOI: 10.1002/ejhf.287
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2015
    Publication Type: Journal Publications
  • Keywords:

    Cardiac & Cardiovascular Systems,Cardiology and Cardiovascular Medicine
    Score
    Readmission
    Heart failure
    Death
    Competing risk
    readmission
    heart failure
    death
    competing risk
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Interdisciplinar
    General medicine
    Enfermagem
    Educação física
    Ciências biológicas ii
    Ciências biológicas i
    Cardiology and cardiovascular medicine
    Cardiac & cardiovascular systems
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