Association Between Retinal Nerve Fiber Layer Thickness and Incident Dementia in the European Prospective Investigation into Cancer in Norfolk Cohort.


Journal

Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863

Informations de publication

Date de publication:
2023
Historique:
medline: 19 9 2023
pubmed: 14 8 2023
entrez: 14 8 2023
Statut: ppublish

Résumé

Retinal nerve fiber layer (RNFL) thickness may reflect cerebral status. This study assessed the relationship between RNFL thickness and incident all-cause dementia in the European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) Eye Study. Glaucoma detection with variable corneal compensation (GDx-VCC) and Heidelberg Retinal Tomograph II (HRT II) derived global mean RNFL thickness from dementia-free participants at baseline within the EPIC-Norfolk Eye Study were analyzed. Incident dementia was identified through linkage to electronic medical records. Cox proportional hazard mixed-effects regression models adjusted for key confounders were used to examine the associations between RNFL thickness and incident dementia in four separate models. 6,239 participants were included with 322 cases of incident dementia and mean age of 67.5-years old, with 49.7% women (median follow-up 13.2-years, interquartile range (11.7 to 14.6 years). Greater RNFL thickness (GDx-VCC) was not significantly associated with a lower risk of incident dementia in the full adjusted model [HR per quartile increase 0.95; 95% CI 0.82-1.10]. Similarly, RNFL thickness assessed with HRT II was also not associated with incident dementia in any model (full adjusted model; HR per quartile increase: 1.06; [95% CI 0.93-1.19]. Gender did not modify any associations under study. GDx-VCC and HRT II derived RNFL thickness are unlikely to be useful predictors of incident dementia. Higher resolution optical imaging technologies may clarify whether there are useful relationships between neuro-retinal morphology and brain measures.

Sections du résumé

BACKGROUND
Retinal nerve fiber layer (RNFL) thickness may reflect cerebral status.
OBJECTIVE
This study assessed the relationship between RNFL thickness and incident all-cause dementia in the European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) Eye Study.
METHODS
Glaucoma detection with variable corneal compensation (GDx-VCC) and Heidelberg Retinal Tomograph II (HRT II) derived global mean RNFL thickness from dementia-free participants at baseline within the EPIC-Norfolk Eye Study were analyzed. Incident dementia was identified through linkage to electronic medical records. Cox proportional hazard mixed-effects regression models adjusted for key confounders were used to examine the associations between RNFL thickness and incident dementia in four separate models.
RESULTS
6,239 participants were included with 322 cases of incident dementia and mean age of 67.5-years old, with 49.7% women (median follow-up 13.2-years, interquartile range (11.7 to 14.6 years). Greater RNFL thickness (GDx-VCC) was not significantly associated with a lower risk of incident dementia in the full adjusted model [HR per quartile increase 0.95; 95% CI 0.82-1.10]. Similarly, RNFL thickness assessed with HRT II was also not associated with incident dementia in any model (full adjusted model; HR per quartile increase: 1.06; [95% CI 0.93-1.19]. Gender did not modify any associations under study.
CONCLUSION
GDx-VCC and HRT II derived RNFL thickness are unlikely to be useful predictors of incident dementia. Higher resolution optical imaging technologies may clarify whether there are useful relationships between neuro-retinal morphology and brain measures.

Identifiants

pubmed: 37574729
pii: JAD230073
doi: 10.3233/JAD-230073
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

691-702

Subventions

Organisme : Medical Research Council
ID : MR/N003284/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC-UU_12015/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00006/1
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C864/A14136
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_13048
Pays : United Kingdom

Auteurs

Grace S Yin (GS)

Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK.
MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.

Frank van der Heide (F)

Cardiovascular Research Institute Maastricht School for Cardiovascular Diseases, Maastricht University, the Netherlands.
Department of Internal Medicine, Maastricht University Medical Center, the Netherlands.

Thomas J Littlejohns (TJ)

Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Elżbieta Kuźma (E)

Albertinen-Haus Centre for Geriatrics and Gerontology, University of Hamburg, Hamburg, Germany.

Shabina Hayat (S)

Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, University College London, England, UK.

Carol Brayne (C)

Cambridge Public Health, University of Cambridge, Cambridge, UK.

Paul J Foster (PJ)

NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.

Robert Luben (R)

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.

Anthony P Khawaja (AP)

MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, UK.

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