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Dataset Information

External Validation of Risk Prediction Models to Improve Selection of Patients for Carotid Endarterectomy.


ABSTRACT:

Background and purpose

The net benefit of carotid endarterectomy (CEA) is determined partly by the risk of procedural stroke or death. Current guidelines recommend CEA if 30-day risks are <6% for symptomatic stenosis and <3% for asymptomatic stenosis. We aimed to identify prediction models for procedural stroke or death after CEA and to externally validate these models in a large registry of patients from the United States.

Methods

We conducted a systematic search in MEDLINE and EMBASE for prediction models of procedural outcomes after CEA. We validated these models with data from patients who underwent CEA in the American College of Surgeons National Surgical Quality Improvement Program (2011-2017). We assessed discrimination using C statistics and calibration graphically.

SUBMITTER: Poorthuis MHF 

PROVIDER: S-EPMC8712365 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature