Accurate classification of carotid endarterectomy indication using physician claims and hospital discharge data.

ABSTRACT:

Background and purpose

Studies of carotid endarterectomy (CEA) require stratification by symptomatic vs asymptomatic status because of marked differences in benefits and harms. In administrative datasets, this classification has been done using hospital discharge diagnosis codes of uncertain accuracy. This study aims to develop and evaluate algorithms for classifying symptomatic status using hospital discharge and physician claims data.

Methods

A single center's administrative database was used to assemble a retrospective cohort of participants with CEA. Symptomatic status was ascertained by chart review prior to linkage with physician claims and hospital discharge data. Accuracy of rule-based classification by discharge diagnosis codes was measured by sensitivity and specif

SUBMITTER: van Gaal S 

PROVIDER: S-EPMC8941812 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature