학술논문
Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum
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Electronic Resource
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Jansen , W J , Janssen , O , Tijms , B M , Vos , S J B , Ossenkoppele , R , Visser , P J , Aarsland , D , Alcolea , D , Altomare , D , Von Arnim , C , Baiardi , S , Baldeiras , I , Barthel , H , Bateman , R J , Van Berckel , B , Binette , A P , Blennow , K , Boada , M , Boecker , H , Bottlaender , M , Den Braber , A , Brooks , D J , Van Buchem , M A , Camus , V , Carill , J M , Cerman , J , Chen , K , Chételat , G , Chipi , E , Cohen , A D , Daniels , A , Delarue , M , Didic , M , Drzezga , A , Dubois , B , Eckerström , M , Ekblad , L L , Engelborghs , S , Epelbaum , S , Fagan , A M , Fan , Y , Fladby , T , Fleisher , A S , Van Der Flier , W M , Förster , S , Fortea , J , Frederiksen , K S , Freund-Levi , Y , Frings , L , Frisoni , G B , Fröhlich , L , Gabryelewicz , T , Gertz , H J , Gill , K D , Gkatzima , O , Gómez-Tortosa , E , Grimmer , T , Guedj , E , Habeck , C G , Hampel , H , Handels , R , Hansson , O , Hausner , L , Hellwig , S , Heneka , M T , Herukka , S K , Hildebrandt , H , Hodges , J , Hort , J , Huang , C C , Iriondo , A J , Itoh , Y , Ivanoiu , A , Jagust , W J , Jessen , F , Johannsen , P , Johnson , K A , Kandimalla , R , Kapaki , E N , Kern , S , Kilander , L , Klimkowicz-Mrowiec , A , Klunk , W E , Koglin , N , Kornhuber , J , Kramberger , M G , Kuo , H C , Van Laere , K , Landau , S M , Landeau , B , Lee , D Y , De Leon , M , Leyton , C E , Lin , K J , Lleó , A , Löwenmark , M , Madsen , K , Maier , W , Marcusson , J , Marquié , M , Martinez-Lage , P , Maserejian , N , Mattsson , N , De Mendonça , A , Meyer , P T , Miller , B L , Minatani , S , Mintun , M A , Mok , V C T , Molinuevo , J L , Morbelli , S D , Morris , J C , Mroczko , B , Na , D L , Newberg , A , Nobili , F , Nordberg , A , Olde Rikkert , M G M , De Oliveira , C R , Olivieri , P , Orellana , A , Paraskevas , G , Parchi , P , Pardini , M , Parnetti , L , Peters , O , Poirier , J , Popp , J , Prabhakar , S , Rabinovici , G D , Ramakers , I H , Rami , L , Reiman , E M , Rinne , J O ,
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Abstract
Importance: One characteristic histopathological event in Alzheimer disease (AD) is cerebral amyloid aggregation, which can be detected by biomarkers in cerebrospinal fluid (CSF) and on positron emission tomography (PET) scans. Prevalence estimates of amyloid pathology are important for health care planning and clinical trial design. Objective: To estimate the prevalence of amyloid abnormality in persons with normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia and to examine the potential implications of cutoff methods, biomarker modality (CSF or PET), age, sex, APOE genotype, educational level, geographical region, and dementia severity for these estimates. Design, Setting, and Participants: This cross-sectional, individual-participant pooled study included participants from 85 Amyloid Biomarker Study cohorts. Data collection was performed from January 1, 2013, to December 31, 2020. Participants had normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia. Normal cognition and subjective cognitive decline were defined by normal scores on cognitive tests, with the presence of cognitive complaints defining subjective cognitive decline. Mild cognitive impairment and clinical AD dementia were diagnosed according to published criteria. Exposures: Alzheimer disease biomarkers detected on PET or in CSF. Main Outcomes and Measures: Amyloid measurements were dichotomized as normal or abnormal using cohort-provided cutoffs for CSF or PET or by visual reading for PET. Adjusted data-driven cutoffs for abnormal amyloid were calculated using gaussian mixture modeling. Prevalence of amyloid abnormality was estimated according to age, sex, cognitive status, biomarker modality, APOE carrier status, educational level, geographical location, and dementia severity using generalized estimating equations. Results: Among the 19097 participants (mean [SD] age, 69.1 [9.8] years; 10148 women [53.1%])