Fang Ko1, Zaynah A Muthy1, John Gallacher2, Cathie Sudlow3, Geraint Rees4, Qi Yang5, Pearse A Keane1, Axel Petzold1, Peng T Khaw1, Charles Reisman5, Nicholas G Strouthidis1, Paul J Foster1, Praveen J Patel1. 1. National Institute for Health Research Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust NHS Foundation Trust and UCL Institute of Ophthalmology, London, England. 2. Department of Psychiatry, University of Oxford, Oxford, England. 3. Centre for Medical Informatics, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland. 4. Institute of Cognitive Neuroscience, University College London, Alexandra House, London, England. 5. Topcon Healthcare Solutions Research and Development, Oakland, New Jersey.
Abstract
Importance: Identifing potential screening tests for future cognitive decline is a priority for developing treatments for and the prevention of dementia. Objective: To examine the potential of retinal nerve fiber layer (RNFL) thickness measurement in identifying those at greater risk of cognitive decline in a large community cohort of healthy people. Design, Setting, and Participants: UK Biobank is a prospective, multicenter, community-based study of UK residents aged 40 to 69 years at enrollment who underwent baseline retinal optical coherence tomography imaging, a physical examination, and a questionnaire. The pilot study phase was conducted from March 2006 to June 2006, and the main cohort underwent examination for baseline measures from April 2007 to October 2010. Four basic cognitive tests were performed at baseline, which were then repeated in a subset of participants approximately 3 years later. We analyzed eyes with high-quality optical coherence tomography images, excluding those with eye disease or vision loss, a history of ocular or neurological disease, or diabetes. We explored associations between RNFL thickness and cognitive function using multivariable logistic regression modeling to control for demographic as well as physiologic and ocular variation. Main Outcomes and Measures: Odds ratios (ORs) for cognitive performance in the lowest fifth percentile in at least 2 of 4 cognitive tests at baseline, or worsening results on at least 1 cognitive test at follow-up. These analyses were adjusted for age, sex, race/ethnicity, height, refraction, intraocular pressure, education, and socioeconomic status. Results: A total of 32 038 people were included at baseline testing, for whom the mean age was 56.0 years and of whom 17 172 (53.6%) were women. A thinner RNFL was associated with worse cognitive performance on baseline assessment. A multivariable regression controlling for potential confounders showed that those in the thinnest quintile of RNFL were 11% more likely to fail at least 1 cognitive test (95% CI, 2.0%-2.1%; P = .01). Follow-up cognitive tests were performed for 1251 participants (3.9%). Participants with an RNFL thickness in the 2 thinnest quintiles were almost twice as likely to have at least 1 test score be worse at follow-up cognitive testing (quintile 1: OR, 1.92; 95% CI, 1.29-2.85; P < .001; quintile 2: OR, 2.08; 95% CI, 1.40-3.08; P < .001). Conclusions and Relevance: A thinner RNFL is associated with worse cognitive function in individuals without a neurodegenerative disease as well as greater likelihood of future cognitive decline. This preclinical observation has implications for future research, prevention, and treatment of dementia.
Importance: Identifing potential screening tests for future cognitive decline is a priority for developing treatments for and the prevention of dementia. Objective: To examine the potential of retinal nerve fiber layer (RNFL) thickness measurement in identifying those at greater risk of cognitive decline in a large community cohort of healthy people. Design, Setting, and Participants: UK Biobank is a prospective, multicenter, community-based study of UK residents aged 40 to 69 years at enrollment who underwent baseline retinal optical coherence tomography imaging, a physical examination, and a questionnaire. The pilot study phase was conducted from March 2006 to June 2006, and the main cohort underwent examination for baseline measures from April 2007 to October 2010. Four basic cognitive tests were performed at baseline, which were then repeated in a subset of participants approximately 3 years later. We analyzed eyes with high-quality optical coherence tomography images, excluding those with eye disease or vision loss, a history of ocular or neurological disease, or diabetes. We explored associations between RNFL thickness and cognitive function using multivariable logistic regression modeling to control for demographic as well as physiologic and ocular variation. Main Outcomes and Measures: Odds ratios (ORs) for cognitive performance in the lowest fifth percentile in at least 2 of 4 cognitive tests at baseline, or worsening results on at least 1 cognitive test at follow-up. These analyses were adjusted for age, sex, race/ethnicity, height, refraction, intraocular pressure, education, and socioeconomic status. Results: A total of 32 038 people were included at baseline testing, for whom the mean age was 56.0 years and of whom 17 172 (53.6%) were women. A thinner RNFL was associated with worse cognitive performance on baseline assessment. A multivariable regression controlling for potential confounders showed that those in the thinnest quintile of RNFL were 11% more likely to fail at least 1 cognitive test (95% CI, 2.0%-2.1%; P = .01). Follow-up cognitive tests were performed for 1251 participants (3.9%). Participants with an RNFL thickness in the 2 thinnest quintiles were almost twice as likely to have at least 1 test score be worse at follow-up cognitive testing (quintile 1: OR, 1.92; 95% CI, 1.29-2.85; P < .001; quintile 2: OR, 2.08; 95% CI, 1.40-3.08; P < .001). Conclusions and Relevance: A thinner RNFL is associated with worse cognitive function in individuals without a neurodegenerative disease as well as greater likelihood of future cognitive decline. This preclinical observation has implications for future research, prevention, and treatment of dementia.
Authors: Elena S Garcia-Martin; Blanca Rojas; Ana I Ramirez; Rosa de Hoz; Juan J Salazar; Raquel Yubero; Pedro Gil; Alberto Triviño; Jose M Ramirez Journal: Ophthalmology Date: 2014-03-18 Impact factor: 12.079
Authors: Leonieke M E van Koolwijk; Dominiek D G Despriet; Cornelia M Van Duijn; Ben A Oostra; John C van Swieten; Inge de Koning; Caroline C W Klaver; Hans G Lemij Journal: Invest Ophthalmol Vis Sci Date: 2009-05-06 Impact factor: 4.799
Authors: Scott Marquis; M Milar Moore; Diane B Howieson; Gary Sexton; Haydeh Payami; Jeffrey A Kaye; Richard Camicioli Journal: Arch Neurol Date: 2002-04
Authors: Miranka Wirth; Sylvia Villeneuve; Claudia M Haase; Cindee M Madison; Hwamee Oh; Susan M Landau; Gil D Rabinovici; William J Jagust Journal: JAMA Neurol Date: 2013-12 Impact factor: 18.302
Authors: Victor T T Chan; Zihan Sun; Shumin Tang; Li Jia Chen; Adrian Wong; Clement C Tham; Tien Y Wong; Christopher Chen; M Kamran Ikram; Heather E Whitson; Eleonora M Lad; Vincent C T Mok; Carol Y Cheung Journal: Ophthalmology Date: 2018-08-13 Impact factor: 12.079
Authors: Dejan Jakimovski; Ralph H B Benedict; Bianca Weinstock-Guttman; Osman Ozel; Tom A Fuchs; Norah Lincoff; Niels Bergsland; Michael G Dwyer; Robert Zivadinov Journal: J Neurol Date: 2021-02-15 Impact factor: 4.849
Authors: Deepthi Bannai; Paulo Lizano; Megan Kasetty; Olivia Lutz; Victor Zeng; Suraj Sarvode; Leo A Kim; Scot Hill; Carol Tamminga; Brett Clementz; Elliot Gershon; Godfrey Pearlson; John B Miller; Matcheri Keshavan Journal: Psychiatry Res Neuroimaging Date: 2020-02-29 Impact factor: 2.376
Authors: Ward Fickweiler; Emily A Wolfson; Samantha M Paniagua; Marc Gregory Yu; Atif Adam; Vanessa Bahnam; Konstantina Sampani; I-Hsien Wu; Gail Musen; Lloyd P Aiello; Hetal Shah; Jennifer K Sun; George L King Journal: J Clin Endocrinol Metab Date: 2021-03-25 Impact factor: 5.958
Authors: Peter J Snyder; Jessica Alber; Clemens Alt; Lisa J Bain; Brett E Bouma; Femke H Bouwman; Delia Cabrera DeBuc; Melanie C W Campbell; Maria C Carrillo; Emily Y Chew; M Francesca Cordeiro; Michael R Dueñas; Brian M Fernández; Maya Koronyo-Hamaoui; Chiara La Morgia; Roxana O' Carare; Srinivas R Sadda; Peter van Wijngaarden; Heather M Snyder Journal: Alzheimers Dement Date: 2020-10-08 Impact factor: 21.566