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Nature aging · 2024

Diagnosis of Alzheimer's disease using plasma biomarkers adjusted to clinical probability.

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Therriault Joseph, Janelidze Shorena, Benedet Andréa Lessa, Ashton Nicholas J, Arranz Martínez Javier, Gonzalez-Escalante Armand, Bellaver Bruna, Alcolea Daniel, Vrillon Agathe, Karim Helmet, Mielke Michelle M, Hyung Hong Chang, Roh Hyun Woong, Contador José, Puig Pijoan Albert, Algeciras-Schimnich Alicia, Vemuri Prashanthi, Graff-Radford Jonathan, Lowe Val J, Karikari Thomas K, Jonaitis Erin, Brum Wagner, Tissot Cécile, Servaes Stijn, Rahmouni Nesrine, Macedo Arthur C, Stevenson Jenna, Fernandez-Arias Jaime, Wang Yi-Ting, Woo Marcel S, Friese Manuel A, Jia Wan Lu, Dumurgier Julien, Hourregue Claire, Cognat Emmanuel, Ferreira Pamela Lukasewicz, Vitali Paolo, Johnson Sterling, Pascoal Tharick A, Gauthier Serge, Lleó Alberto, Paquet Claire, Petersen Ronald C, Salmon David, Mattsson-Carlgren Niklas, Palmqvist Sebastian, Stomrud Erik, Galasko Douglas, Son Sang Joon, Zetterberg Henrik, Fortea Juan, Suárez-Calvet Marc, Jack Clifford R, Blennow Kaj, Hansson Oskar, Rosa-Neto Pedro

Аннотация

Recently approved anti-amyloid immunotherapies for Alzheimer's disease (AD) require evidence of amyloid-β pathology from positron emission tomography (PET) or cerebrospinal fluid (CSF) before initiating treatment. Blood-based biomarkers promise to reduce the need for PET or CSF testing; however, their interpretation at the individual level and the circumstances requiring confirmatory testing are poorly understood. Individual-level interpretation of diagnostic test results requires knowledge of disease prevalence in relation to clinical presentation (clinical pretest probability). Here, in a study of 6,896 individuals evaluated from 11 cohort studies from six countries, we determined the positive and negative predictive value of five plasma biomarkers for amyloid-β pathology in cognitively impaired individuals in relation to clinical pretest probability. We observed that p-tau217 could rule in amyloid-β pathology in individuals with probable AD dementia (positive predictive value above 95%). In mild cognitive impairment, p-tau217 interpretation depended on patient age. Negative p-tau217 results could rule out amyloid-β pathology in individuals with non-AD dementia syndromes (negative predictive value between 90% and 99%). Our findings provide a framework for the individual-level interpretation of plasma biomarkers, suggesting that p-tau217 combined with clinical phenotyping can identify patients where amyloid-β pathology can be ruled in or out without the need for PET or CSF confirmatory testing.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты