Web of Science: 85 cites, Scopus: 92 cites, Google Scholar: cites,
Development of a Novel Heart Failure Risk Tool : The Barcelona Bio-Heart Failure Risk Calculator (BCN Bio-HF Calculator)
Lupón, Josep (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
de Antonio Ferrer, Marta (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Vila, Joan (Institut Hospital del Mar d'Investigacions Mèdiques)
Peñafiel, Judith (Institut Hospital del Mar d'Investigacions Mèdiques)
Galán, Amparo (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Zamora, Elisabet (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Urrutia de Diego, Agustín (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Bayés-Genís, Antoni (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)

Data: 2014
Resum: Background: A combination of clinical and routine laboratory data with biomarkers reflecting different pathophysiological pathways may help to refine risk stratification in heart failure (HF). A novel calculator (BCN Bio-HF calculator) incorporating N-terminal pro B-type natriuretic peptide (NT-proBNP, a marker of myocardial stretch), high-sensitivity cardiac troponin T (hs-cTnT, a marker of myocyte injury), and high-sensitivity soluble ST2 (ST2), (reflective of myocardial fibrosis and remodeling) was developed. Methods: Model performance was evaluated using discrimination, calibration, and reclassification tools for 1-, 2-, and 3-year mortality. Ten-fold cross-validation with 1000 bootstrapping was used. Results: The BCN Bio-HF calculator was derived from 864 consecutive outpatients (72% men) with mean age 68. 2±12 years (73%/27% New York Heart Association (NYHA) class I-II/III-IV, LVEF 36%, ischemic etiology 52. 2%) and followed for a median of 3. 4 years (305 deaths). After an initial evaluation of 23 variables, eight independent models were developed. The variables included in these models were age, sex, NYHA functional class, left ventricular ejection fraction, serum sodium, estimated glomerular filtration rate, hemoglobin, loop diuretic dose, β-blocker, Angiotensin converting enzyme inhibitor/Angiotensin-2 receptor blocker and statin treatments, and hs-cTnT, ST2, and NT-proBNP levels. The calculator may run with the availability of none, one, two, or the three biomarkers. The calculated risk of death was significantly changed by additive biomarker data. The average C-statistic in cross-validation analysis was 0. 79. Conclusions: A new HF risk-calculator that incorporates available biomarkers reflecting different pathophysiological pathways better allowed individual prediction of death at 1, 2, and 3 years.
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Biomarkers ; Heart failure ; Etiology ; Life expectancy ; Statins ; Diuretics ; Hemoglobin ; Multivariate analysis
Publicat a: PloS one, Vol. 9, Issue 1 (January 2014) , p.e85466, ISSN 1932-6203

DOI: 10.1371/journal.pone.0085466
PMID: 24454874


8 p, 611.0 KB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d'Investigació en Ciencies de la Salut Germans Trias i Pujol (IGTP)
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2015-10-13, darrera modificació el 2022-09-22



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