Validation of Risk Prediction Models to Detect Asymptomatic Carotid Stenosis.

ABSTRACT: Background Significant asymptomatic carotid stenosis (ACS) is associated with higher risk of strokes. While the prevalence of moderate and severe ACS is low in the general population, prediction models may allow identification of individuals at increased risk, thereby enabling targeted screening. We identified established prediction models for ACS and externally validated them in a large screening population. Methods and Results Prediction models for prevalent cases with ≥50% ACS were identified in a systematic review (975 studies reviewed and 6 prediction models identified [3 for moderate and 3 for severe ACS]) and then validated using data from 596 469 individuals who attended commercial vascular screening clinics in the United States and United Kingdom. We assessed discrimination and ca

SUBMITTER: Poorthuis MHF 

PROVIDER: S-EPMC7428515 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature