Prediction of Sjogren's disease diagnosis using matched electronic dental-health record data.

ABSTRACT:

Background

Sjögren's disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases. SD potentially presents through early oral manifestations prior to showing symptoms of clinically significant dry eyes or dry mouth. We examined the feasibility of utilizing a linked electronic dental record (EDR) and electronic health record (EHR) dataset to identify factors that could be used to improve early diagnosis prediction of SD in a matched case-control study population.

Methods

EHR data, including demographics, medical diagnoses, medication history, serological test history, and clinical notes, were retrieved from the Indiana Network for Patient Care database and dental procedure da

SUBMITTER: Mao J 

PROVIDER: S-EPMC10854092 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature