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Brain-age is associated with progression to dementia in memory clinic patients.
Biondo, Francesca; Jewell, Amelia; Pritchard, Megan; Aarsland, Dag; Steves, Claire J; Mueller, Christoph; Cole, James H.
Afiliación
  • Biondo F; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, UK; South London and Maudsley NHS Foundation Trust, UK; Centre for Medical Image Computing, Department of Computer Science, University College London, WC1V 6LJ, UK. Electronic address: f
  • Jewell A; South London and Maudsley NHS Foundation Trust, UK.
  • Pritchard M; South London and Maudsley NHS Foundation Trust, UK.
  • Aarsland D; Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, UK; Centre for Age-Related Research, Stavanger University Hospital, Stavanger, Norway.
  • Steves CJ; Department of Ageing and Health, Guy's and St Thomas' NHS Foundation Trust, SE1 7EH, UK; Department of Twin Research and Genetic Epidemiology, King's College London, SE1 7EH, UK.
  • Mueller C; South London and Maudsley NHS Foundation Trust, UK; Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, UK.
  • Cole JH; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, UK; South London and Maudsley NHS Foundation Trust, UK; Centre for Medical Image Computing, Department of Computer Science, University College London, WC1V 6LJ, UK; Dementia Research Cen
Neuroimage Clin ; 36: 103175, 2022.
Article en En | MEDLINE | ID: mdl-36087560
BACKGROUND: Biomarkers for the early detection of dementia risk hold promise for better disease monitoring and targeted interventions. However, most biomarker studies, particularly in neuroimaging, have analysed artificially 'clean' research groups, free from comorbidities, erroneous referrals, contraindications and from a narrow sociodemographic pool. Such biases mean that neuroimaging samples are often unrepresentative of the target population for dementia risk (e.g., people referred to a memory clinic), limiting the generalisation of these studies to real-world clinical settings. To facilitate better translation from research to the clinic, datasets that are more representative of dementia patient groups are warranted. METHODS: We analysed T1-weighted MRI scans from a real-world setting of patients referred to UK memory clinic services (n = 1140; 60.2 % female and mean [SD] age of 70.0[10.8] years) to derive 'brain-age'. Brain-age is an index of age-related brain health based on quantitative analysis of structural neuroimaging, largely reflecting brain atrophy. Brain-predicted age difference (brain-PAD) was calculated as brain-age minus chronological age. We determined which patients went on to develop dementia between three months and 7.8 years after neuroimaging assessment (n = 476) using linkage to electronic health records. RESULTS: Survival analysis, using Cox regression, indicated a 3 % increased risk of dementia per brain-PAD year (hazard ratio [95 % CI] = 1.03 [1.02,1.04], p < 0.0001), adjusted for baseline age, age2, sex, Mini Mental State Examination (MMSE) score and normalised brain volume. In sensitivity analyses, brain-PAD remained significant when time-to-dementia was at least 3 years (hazard ratio [95 % CI] = 1.06 [1.02, 1.09], p = 0.0006), or when baseline MMSE score ≥ 27 (hazard ratio [95 % CI] = 1.03 [1.01, 1.05], p = 0.0006). CONCLUSIONS: Memory clinic patients with older-appearing brains are more likely to receive a subsequent dementia diagnosis. Potentially, brain-age could aid decision-making during initial memory clinic assessment to improve early detection of dementia. Even when neuroimaging assessment was more than 3 years prior to diagnosis and when cognitive functioning was not clearly impaired, brain-age still proved informative. These real-world results support the use of quantitative neuroimaging biomarkers like brain-age in memory clinics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Child / Female / Humans / Male Idioma: En Revista: Neuroimage Clin Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Child / Female / Humans / Male Idioma: En Revista: Neuroimage Clin Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos