Development of a predictive model for major adverse cardiac events in a coronary artery bypass and valve population.

ABSTRACT:

Background

Quality improvement initiatives in cardiac surgery largely rely on risk prediction models. Most often, these models include isolated populations and describe isolated end-points. However, with the changing clinical profile of the cardiac surgical patients, mixed populations models are required to accurately represent the majority of the surgical population. Also, composite model end-points of morbidity and mortality, better reflect outcomes experienced by patients.

Methods

The model development cohort included 4,270 patients who underwent aortic or mitral valve replacement, or mitral valve repair with/without coronary artery bypass grafting, or isolated coronary artery bypass grafting. A composite end-point of infection, stroke, acute renal failure, or death was e

SUBMITTER: Herman CR 

PROVIDER: S-EPMC3751077 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature