Validation of Different Dementia Code-Based Definitions in a Population-Based Study of Rheumatoid Arthritis
Authors' conclusion
Routinely collected electronic health record (EHR) data were used to define code-based dementia diagnostic algorithms with good performance (vs diagnosis by medical record review).
Study context
- Population
- Retrospective, population-based cohort in southern Minnesota: individuals with and without rheumatoid arthritis (RA)1,025 with RA
- Participants
- 2,050 participants
- Comparison
- 3 code-based dementia diagnostic algorithms vs medical record review diagnosis of dementia (reference standard), in RA vs individuals without RA
- RAn = 1,025
- Outcome
- Performance of code-based dementia diagnostic algorithms vs medical record review diagnosis of dementia
Methodological detailsretrospective, population-based cohort, Overall comparison used each patient's complete medical history, no time frames; sensitivity analyses with 1-, 2- and 5-year windows around the date dementia was identified in the medical record
- Retrospective
- Population-based cohort
- Overall comparison used each patient's complete medical history, no time frames; sensitivity analyses with 1-, 2- and 5-year windows around the date dementia was identified in the medical record
Performance
As reported in the abstract
Performance of code-based dementia algorithms
Specificity, NPV and accuracy, regardless of time window
> 88%
Sensitivity range
56.5-95.9%
PPV range
55.2-83.1%
Original publication
Validation of Different Dementia Code-Based Definitions in a Population-Based Study of Rheumatoid Arthritis. J Rheumatol. Published 1 July 2024. doi:10.
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