What Determines Cognitive Functioning in the Oldest-Old? The EMIF-AD 90+ Study

Author:

Legdeur Nienke1ORCID,Badissi Maryam1,Yaqub Maqsood2,Beker Nina1,Sudre Carole H34,ten Kate Mara12,Gordon Mark Forrest5,Novak Gerald6,Barkhof Frederik27,van Berckel Bart N M2,Holstege Henne18,Muller Majon9,Scheltens Philip1,Maier Andrea B1011ORCID,Visser Pieter Jelle112

Affiliation:

1. Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands

2. Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands

3. School of Biomedical Engineering and Imaging Sciences, King’s College London

4. Dementia Research Centre, Institute of Neurology, University College London

5. Teva Pharmaceuticals, Frazer, Pennsylvania

6. Janssen Pharmaceutical Research and Development, Titusville, New Jersey

7. Institutes of Neurology and Healthcare Engineering, University College London

8. Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, The Netherlands

9. Department of Internal Medicine, Amsterdam UMC, The Netherlands

10. Department of Medicine and Aged Care, @AgeMelbourne, Royal Melbourne Hospital, University of Melbourne, Victoria, Australia

11. Department of Human Movement Sciences, @AgeAmsterdam, Vrije Universiteit Amsterdam, Research Institute Amsterdam Movement Sciences, The Netherlands

12. Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, The Netherlands

Abstract

Abstract Objectives Determinants of cognitive functioning in individuals aged 90 years and older, the oldest-old, remain poorly understood. We aimed to establish the association of risk factors, white matter hyperintensities (WMHs), hippocampal atrophy, and amyloid aggregation with cognition in the oldest-old. Method We included 84 individuals without cognitive impairment and 38 individuals with cognitive impairment from the EMIF-AD 90+ Study (mean age 92.4 years) and tested cross-sectional associations between risk factors (cognitive activity, physical parameters, nutritional status, inflammatory markers, and cardiovascular risk factors), brain pathology biomarkers (WMH and hippocampal volume on magnetic resonance imaging, and amyloid binding measured with positron emission tomography), and cognition. Additionally, we tested whether the brain pathology biomarkers were independently associated with cognition. When applicable, we tested whether the effect of risk factors on cognition was mediated by brain pathology. Results Lower values for handgrip strength, Short Physical Performance Battery (SPPB), nutritional status, HbA1c, and hippocampal volume, and higher values for WMH volume and amyloid binding were associated with worse cognition. Higher past cognitive activity and lower body mass index were associated with increased amyloid binding, lower muscle mass with more WMH, and lower SPPB scores with more WMH and hippocampal atrophy. The brain pathology markers were independently associated with cognition. The association of SPPB with cognition was partially mediated by hippocampal volume. Discussion In the oldest-old, physical parameters, nutritional status, HbA1c, WMH, hippocampal atrophy, and amyloid binding are associated with cognitive impairment. Physical performance may affect cognition through hippocampal atrophy. This study highlights the importance to consider multiple factors when assessing cognition in the oldest-old.

Funder

EU/EFPIA Innovative Medicines Initiative Joint Undertaking EMIF

NIHR Biomedical Research Centre

Alzheimer’s Society Junior Fellowship

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Gerontology,Clinical Psychology,Social Psychology

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