A simple risk tool (the OBSERVANT score) for prediction of 30-day mortality after transcatheter aortic valve replacement

Davide Capodanno, Marco Barbanti, Corrado Tamburino, Paola D'Errigo, Marco Ranucci, Gennaro Santoro, Francesco Santini, Francesco Onorati, Claudio Grossi, Remo Daniel Covello, Piera Capranzano, Stefano Rosato, Fulvia Seccareccia

Research output: Contribution to journalArticlepeer-review

Abstract

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

Original languageEnglish
Pages (from-to)1851-1858
Number of pages8
JournalThe American Journal of Cardiology
Volume113
Issue number11
DOIs
Publication statusPublished - Jun 1 2014

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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