{"doi":"10.1002/alz.13876","title":"Patterns of cognitive domain abnormalities enhance discrimination of dementia risk prediction: The ARIC study","abstract":"INTRODUCTION: The contribution of neuropsychological assessments to risk assessment for incident dementia is underappreciated. METHODS: We analyzed neuropsychological testing results in dementia-free participants in the Atherosclerosis Risk in Communities (ARIC) study. We examined associations of index domain-specific neuropsychological test performance with incident dementia using cumulative incidence curves and Cox proportional hazards models. RESULTS: Among 5296 initially dementia-free participants (mean [standard deviation] age of 75.8 [5.1] years; 60.1% women, 22.2% Black) over a median follow-up of 7.9 years, the covariate-adjusted hazard ratio varied substantially depending on the pattern of domain-specific performance and age, in an orderly manner from single domain language abnormalities (lowest risk) to single domain executive or memory abnormalities, to multidomain abnormalities including memory (highest risk). DISCUSSION: By identifying normatively defined cognitive abnormalities by domains based on neuropsychological test performance, there is a conceptually orderly and age-sensitive spectrum of risk for incident dementia that provides valuable information about the likelihood of progression. HIGHLIGHTS: Domain-specific cognitive profiles carry enhanced prognostic value compared to mild cognitive impairment. Single-domain non-amnestic cognitive abnormalities have the most favorable prognosis. Multidomain amnestic abnormalities have the greatest risk for incident dementia. Patterns of domain-specific risks are similar by sex and race.","journal":"Alzheimer s & Dementia","year":2024,"id":421371,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":30,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9501,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":397580,"name":"James Russell Pike","orcid":"0000-0002-6858-620X","position":1,"is_corresponding":false},{"id":328345,"name":"Rebecca F. Gottesman","orcid":"0000-0002-9504-1256","position":2,"is_corresponding":false},{"id":330102,"name":"A. Richey Sharrett","orcid":null,"position":3,"is_corresponding":false},{"id":331917,"name":"B. Gwen Windham","orcid":"0000-0001-6240-5044","position":4,"is_corresponding":false},{"id":73351,"name":"Thomas H. Mosley","orcid":"0000-0003-3343-1352","position":5,"is_corresponding":false},{"id":623130,"name":"Kevin Sullivan","orcid":"0000-0001-9147-0988","position":6,"is_corresponding":false},{"id":19614,"name":"Marilyn Albert","orcid":"0000-0002-8167-8985","position":7,"is_corresponding":false},{"id":34922,"name":"Keenan A. Walker","orcid":"0000-0002-5989-9853","position":8,"is_corresponding":false},{"id":320071,"name":"Sevil Yaşar","orcid":"0000-0002-5080-6534","position":9,"is_corresponding":false},{"id":730810,"name":"Sheila Burgard","orcid":null,"position":10,"is_corresponding":false},{"id":989188,"name":"David Li","orcid":"0000-0002-6401-4263","position":11,"is_corresponding":false},{"id":322305,"name":"Alden L. Gross","orcid":"0000-0002-4678-0562","position":12,"is_corresponding":false},{"id":49955,"name":"David S. Knopman","orcid":"0000-0002-6544-066X","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":null,"created_at":"2026-07-19T01:57:36.298171Z","pmid":"38877664","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}