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Dataset Information

Development and Internal Validation of a Risk Score to Detect Asymptomatic Carotid Stenosis.


ABSTRACT:

Objective

Asymptomatic carotid stenosis (ACS) is associated with an increased risk of ischaemic stroke and myocardial infarction. Risk scores have been developed to detect individuals at high risk of ACS, thereby enabling targeted screening, but previous external validation showed scope for refinement of prediction by adding additional predictors. The aim of this study was to develop a novel risk score in a large contemporary screened population.

Methods

A prediction model was developed for moderate (≥50%) and severe (≥70%) ACS using data from 596 469 individuals who attended screening clinics. Variables that predicted the presence of ≥50% and ≥70% ACS independently were determined using multivariable logistic regression. Internal validation was performed using bootstrapping

SUBMITTER: Poorthuis MHF 

PROVIDER: S-EPMC7994015 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature