Prediction model to estimate presence of coronary artery disease: retrospective pooled analysis of existing cohorts.

ABSTRACT:

Objectives

To develop prediction models that better estimate the pretest probability of coronary artery disease in low prevalence populations.

Design

Retrospective pooled analysis of individual patient data.

Setting

18 hospitals in Europe and the United States.

Participants

Patients with stable chest pain without evidence for previous coronary artery disease, if they were referred for computed tomography (CT) based coronary angiography or catheter based coronary angiography (indicated as low and high prevalence settings, respectively).

Main outcome measures

Obstructive coronary artery disease (≥ 50% diameter stenosis in at least one vessel found on catheter based coronary angiography). Multiple imputation accounted for missing predictors and outcomes, ex

SUBMITTER: Genders TS 

PROVIDER: S-EPMC3374026 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature