Multiple biomarker panel to screen for severe aortic stenosis: results from the CASABLANCA study.

ABSTRACT:

Objective

Severe aortic valve stenosis (AS) develops via insidious processes and can be challenging to correctly diagnose. We sought to develop a circulating biomarker panel to identify patients with severe AS.

Methods

We enrolled study participants undergoing coronary or peripheral angiography for a variety of cardiovascular diseases at a single academic medical centre. A panel of 109 proteins were measured in blood obtained at the time of the procedure. Statistical learning methods were used to identify biomarkers and clinical parameters that associate with severe AS. A diagnostic model incorporating clinical and biomarker results was developed and evaluated using Monte Carlo cross-validation.

Results

Of 1244 subjects (age 66.4±11.5  years, 28.7% female), 80 (6.4%)

SUBMITTER: Elmariah S 

PROVIDER: S-EPMC6242008 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature