Brain health scores to predict neurological outcomes from electronic health records.

ABSTRACT:

Background

Preserving brain health is a critical priority in primary care, yet screening for these risk factors in face-to-face primary care visits is challenging to scale to large populations. We aimed to develop automated brain health risk scores calculated from data in the electronic health record (EHR) enabling population-wide brain health screening in advance of patient care visits.

Methods

This retrospective cohort study included patients with visits to an outpatient neurology clinic at Massachusetts General Hospital, between January 2010 and March 2021. Survival analysis with an 11-year follow-up period was performed to predict the risk of intracranial hemorrhage, ischemic stroke, depression, death and composite outcome of dementia, Alzheimer's disease, and mild cogni

SUBMITTER: Fernandes M 

PROVIDER: S-EPMC10842359 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature