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

Author:

Yin Grace S.12,van der Heide Frank34,Littlejohns Thomas J.5,Kuźma Elżbieta6,Hayat Shabina7,Brayne Carol8,Foster Paul J.9,Luben Robert29,Khawaja Anthony P.29

Affiliation:

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

2. MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK

3. Cardiovascular Research Institute Maastricht School for Cardiovascular Diseases, Maastricht University, the Netherlands

4. Department of Internal Medicine, Maastricht University Medical Center, the Netherlands

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

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

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

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

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

Abstract

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.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

Reference58 articles.

1. Epidemiology and risk factors of dementia;van der Flier;J Neurol Neurosurg Psychiatry,2005

2. Optical Coherence Tomography

3. Ganglion cell losses underlying visual field defects from experimental glaucoma;Harwerth;Invest Ophthalmol Vis Sci,1999

4. Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss;Sommer;Arch Ophthalmol,1991

5. The Ocular Hypertension Treatment Study: A randomized trial determines that topical ocular hypotensive medication delays or prevents the onset of primary open-angle glaucoma;Kass;Arch Ophthalmol,2002

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3