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Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study
Thomas H McCoy1, Larry Han2, Amelia M Pellegrini1
1Center for Quantitative Health, Massachusetts General Hospital, Boston, MA, USA.
Introduction:
Preventing dementia, or modifying disease course, requires identification of presymptomatic or minimally symptomatic high-risk individuals.
Methods:
We used longitudinal electronic health records from two large academic medical centers and applied a validated natural language processing tool to estimate cognitive symptomatology. We used survival analysis to examine the association of cognitive symptoms with incident dementia diagnosis during up to 8 years of follow-up.
Results:
Among 267,855 hospitalized patients with 1,251,858 patient years of follow-up data, 6516 (2.4%) received a new diagnosis of dementia. In competing risk regression, an increasing cognitive symptom score was associated with earlier dementia diagnosis (HR 1.63; 1.54-1.72). Similar results were observed in the second hospital system and in subgroup analysis of younger and older patients.
Discussion:
A cognitive symptom measure identified in discharge notes facilitated stratification of risk for dementia up to 8 years before diagnosis.
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