TY - JOUR
T1 - A simple risk tool (the OBSERVANT score) for prediction of 30-day mortality after transcatheter aortic valve replacement
AU - Capodanno, Davide
AU - Barbanti, Marco
AU - Tamburino, Corrado
AU - D'Errigo, Paola
AU - Ranucci, Marco
AU - Santoro, Gennaro
AU - Santini, Francesco
AU - Onorati, Francesco
AU - Grossi, Claudio
AU - Covello, Remo Daniel
AU - Capranzano, Piera
AU - Rosato, Stefano
AU - Seccareccia, Fulvia
PY - 2014/6/1
Y1 - 2014/6/1
N2 - Risk stratification tools used in patients with severe aortic stenosis have been mostly derived from surgical series. Although specific predictors of early mortality with transcatheter aortic valve replacement (TAVR) have been identified, the prognostic impact of their combination is unexplored. We sought to develop a simple score, using preprocedural variables, for prediction of 30-day mortality after TAVR. A total of 1,878 patients from a national multicenter registry who underwent TAVR were randomly assigned in a 2:1 manner to development and validation data sets. Baseline characteristics of the 1,256 patients in the development data set were considered as candidate univariate predictors of 30-day mortality. A bootstrap multivariate logistic regression process was used to select correlates of 30-day mortality that were subsequently weighted and integrated into a scoring system. Seven variables were weighted proportionally to their respective odds ratios for 30-day mortality (glomerular filtration rate
AB - Risk stratification tools used in patients with severe aortic stenosis have been mostly derived from surgical series. Although specific predictors of early mortality with transcatheter aortic valve replacement (TAVR) have been identified, the prognostic impact of their combination is unexplored. We sought to develop a simple score, using preprocedural variables, for prediction of 30-day mortality after TAVR. A total of 1,878 patients from a national multicenter registry who underwent TAVR were randomly assigned in a 2:1 manner to development and validation data sets. Baseline characteristics of the 1,256 patients in the development data set were considered as candidate univariate predictors of 30-day mortality. A bootstrap multivariate logistic regression process was used to select correlates of 30-day mortality that were subsequently weighted and integrated into a scoring system. Seven variables were weighted proportionally to their respective odds ratios for 30-day mortality (glomerular filtration rate
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U2 - 10.1016/j.amjcard.2014.03.014
DO - 10.1016/j.amjcard.2014.03.014
M3 - Article
C2 - 24837264
AN - SCOPUS:84900865637
VL - 113
SP - 1851
EP - 1858
JO - American Journal of Cardiology
JF - American Journal of Cardiology
SN - 0002-9149
IS - 11
ER -