Investigating the additive effects of Alzheimer’s disease biomarker staging and subjective cognitive decline in the prediction of clinical progression
Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND: The identification of cognitively unimpaired individuals at risk of short-term cognitive decline is a critical task for Alzheimer´s disease (AD) research. Cognitively normal individuals with amyloid and/or tau pathology have a high risk for short-term cognitive decline. However, not all of these individuals show clinical progression. Individuals in clinical stage 2 of AD, characterized e.g. by subjective cognitive decline (SCD), are thought to be temporally closer to clinical progression to mild cognitive impairment (MCI), but this hypothesis has not been rigorously investigated yet. METHOD: status. The groups were compared in their longitudinal preclinical Alzheimer´s cognitive composite (PACC5) trajectories and average time until progression to MCI. Group differences in the time until progression to MCI, over eight years of follow-up, were estimated with restricted mean survival time models. All analyses were adjusted for demographic covariates. RESULT: Compared to the A-T- group (62 CN, 123 SCD), A+T- (16 CN, 49 SCD) and A+T+ (5 CN, 23 SCD) participants showed significantly accelerated PACC5 decline and a faster progression to MCI (A+T-: 2.7 [-5.7-11.2] and A+T+: 22.4 [8.1-36.8] months earlier than A-T-;). SCD patients had a significantly faster PACC5 decline and progression to MCI (15.5 [9.8-21.1] months) than CN participants. The effects of SCD and the biomarker stages on both outcome measures remained significant when the predictors were entered in the same models. In exploratory analyses, SCD patients tended to show a faster progression to MCI than CN participants within the same biomarker group (A+T-: 19.0 [6.3-31.7] and A+T+: 14.0 [-20.8-48.8] months earlier than CN in same biomarker group). CONCLUSION: SCD provides incremental information for the identification of individuals at high risk of imminent cognitive decline beyond a biomarker-based classification of AD pathology. In cognitively unimpaired individuals, the clinical stage should be taken into account additionally to AD biomarkers for an improved prediction of the time until clinical progression.
Source: Alzheimer s & Dementia
DOI: 10.1002/alz.091377
Authors: Melina Stark, Michael Wagner, Elizabeth Kuhn, Katharina Bürger, Emrah Düzel, Julian Hellmann‐Regen, Michael T. Heneka, Christoph Laske, Robert Perneczky, Oliver Peters, Josef Priller, Matthias Schmid, Anja Schneider, Annika Spottke, Stefan Teipel, Jens Wiltfang, Frank Jessen, Luca Kleineidam
Institutions: University of Bonn, German Center for Neurodegenerative Diseases, Institut für Schlaganfall- und Demenzforschung, Ludwig-Maximilians-Universität München, Otto-von-Guericke-Universität Magdeburg, Humboldt-Universität zu Berlin, Deutsches Zentrum für Psychische Gesundheit, Charité - Universitätsmedizin Berlin, University of Luxembourg, Luxembourg Centre for Systems Biomedicine, Hertie Institute for Clinical Brain Research, University of Tübingen, LMU Klinikum, Munich Cluster for Systems Neurology, Freie Universität Berlin, UK Dementia Research Institute, Stiftung Charité, Technical University of Munich, University of Edinburgh, University Hospital Bonn, Institut für Medizinische Biometrie, Informatik und Epidemiologie, University of Rostock, Universitätsmedizin Göttingen, University of Aveiro, University of Göttingen, University of Cologne, Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,000
OpenAlex ID: W4406051095
