title: Neuropathology-based risk scoring for dementia diagnosis in the elderly.
abstract: Current neuropathologic consensus criteria for diagnosis of dementia yield a classification of processes that likely contributed to dementia in that individual. While dementia diagnosis currently relies on clinical criteria, practicing neuropathologists and researchers might benefit from a simple, accurate risk scoring protocol for the neuropathologic diagnosis of dementia. Using 232 consecutive autopsies from the population-based Adult Changes in Thought study, we developed two logistic regression-based risk scoring systems; one solely using neuropathologic measures and a second additionally including demographic information. Inverse-probability weighting was used to adjust for inherent selection bias in autopsy-based studies of dementing illnesses. Both systems displayed high levels of predictive accuracy; bias-adjusted area-under-the-curve statistics were 0.78 (95% CI 0.71, 0.85) and 0.87 (95% CI 0.83, 0.92), indicating improved performance with the inclusion of demographic characteristics, specifically age and birth cohort information. Application of the combined neuropathology/demographic model yielded bias-adjusted sensitivity and specificity of 81% each. In contrast, application of NIA-Reagan criteria yielded sensitivity and specificity of 53% and 84%. Our proposed scoring systems provide neuropathologists with tools to make a diagnosis, and interpret their diagnosis in the light of known sensitivity and specificity estimates. Evaluation in independent samples will be important to verify our findings.
authors: Group Health Center for Health Studies, Seattle, WA 98101, USA. haneuse.s@ghc.org
authors: Sebastien
authors: S
authors: Haneuse
authors: Eric
authors: E
authors: Larson
authors: Rod
authors: R
authors: Walker
authors: Thomas
authors: T
authors: Montine
authors: Joshua
authors: J
authors: Sonnen
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000473:pathology*; D000544:Alzheimer Disease / Q000175:diagnosis; D001344:Autopsy; D015982:Bias; D001921:Brain / Q000473:pathology*; D016001:Confidence Intervals; D003704:Dementia / Q000175:diagnosis* / Q000473:pathology; D015140:Dementia, Vascular / Q000175:diagnosis; D005260:Female; D006801:Humans; D008297:Male; D012680:Sensitivity and Specificity; D012737:Sex Factors