June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Retinal Microvascular Geometric Parameters and Cerebral Microbleeds
Author Affiliations & Notes
  • Yi-Ting Ong
    NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore
    Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  • Saima Hilal
    Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
    Pharmacology, National University of Singapore, Singapore, Singapore
  • Carol Cheung
    Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
    Singapore Eye Research Institute, National University of Singapore, Singapore, Singapore
  • Monica Saini
    Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
    Pharmacology, National University of Singapore, Singapore, Singapore
  • Narayanaswamy Venketasubramanian
    Neurology, University Medicine Cluster, National University of Singapore, Singapore, Singapore
  • Ainur Anuar
    Singapore Eye Research Institute, National University of Singapore, Singapore, Singapore
    Ophthalmology, Faculty of Medicine, University of Malaya, Malaysia, Malaysia
  • Merwyn Chew
    Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
    Singapore Eye Research Institute, National University of Singapore, Singapore, Singapore
  • Christopher Chen
    Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
    Pharmacology, National University of Singapore, Singapore, Singapore
  • Tien Wong
    Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
    Singapore Eye Research Institute, National University of Singapore, Singapore, Singapore
  • Mohammad Ikram
    Singapore Eye Research Institute, National University of Singapore, Singapore, Singapore
    Memory Aging and Cognition Centre, National University Health System, Singapore, Singapore
  • Footnotes
    Commercial Relationships Yi-Ting Ong, None; Saima Hilal, None; Carol Cheung, None; Monica Saini, None; Narayanaswamy Venketasubramanian, None; Ainur Anuar, None; Merwyn Chew, None; Christopher Chen, GSK (F); Tien Wong, Allergan (C), Bayer (C), Novartis (C), Pfizer (C), GSK (F), Roche (F); Mohammad Ikram, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 40. doi:
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      Yi-Ting Ong, Saima Hilal, Carol Cheung, Monica Saini, Narayanaswamy Venketasubramanian, Ainur Anuar, Merwyn Chew, Christopher Chen, Tien Wong, Mohammad Ikram; Retinal Microvascular Geometric Parameters and Cerebral Microbleeds. Invest. Ophthalmol. Vis. Sci. 2013;54(15):40.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: Retinal vascular changes, as markers of microvascular pathology, have been linked to stroke, cognitive impairment, and even subclinical neuroimaging markers such as silent infarcts and white matter lesions. Cerebral microbleeds have been proposed as novel markers for microvascular pathology in the brain. We examine the association between retinal microvascular parameters and cerebral microbleeds.

Methods: A total of 300 participants (age≥60 years) from the Singapore Chinese Eye Study (SCES) who failed cognitive screening by the Abbreviated Mental Test and the Progressive Forgetfulness Questionnaire were recruited into the Epidemiology of Dementia in Singapore (EDIS) Study. All participants underwent retinal photography, extensive neuropsychological testing and cerebral magnetic resonance imaging (MRI). Retinal vascular parameters (caliber, tortuosity, fractal dimension, etc) were assessed from fundus images using a semi-automated computer-based program. Using the Brain Observer Microbleed Scale (BOMBS), the number of cerebral microbleeds per subject was visually graded from susceptibility weighted imaging (SWI) sequences. Negative binomial regression models were constructed, adjusting for age, gender, smoking status, body mass index, mean arterial blood pressure, fasting blood glucose, blood cholesterol, total white matter hyperintensity volume, total intracranial volume, presence of stroke and intracranial stenosis.

Results: A total of 261 participants who had gradable fundus photographs and MRI scans were included in this analysis. Microbleeds were present in 83 (31.8%) participants, with a range of 0-43 per participant (mean 0.82, variance 10.4) in this study. In multivariate adjusted models, narrower retinal arteriolar caliber (multivariable-adjusted rate ratio (RR) per standard deviation (SD) decrease: 2.23; 95% CI: 1.38-3.61), wider venular caliber (RR per SD increase: 2.39; 95%CI: 1.51-3.79), and smaller arteriolar fractal dimensions (RR per SD decrease: 1.59; 95%CI: 1.27-1.98) were associated with increasing number of microbleeds on MRI. Retinal vascular tortuosity and branching parameters were not significantly associated with microbleeds.

Conclusions: Retinal microvascular parameters were associated with the presence of cerebral microbleeds, suggesting common pathophysiological mechanisms may underlie retinal and cerebral microvascular pathology.

Keywords: 464 clinical (human) or epidemiologic studies: risk factor assessment • 550 imaging/image analysis: clinical • 688 retina  
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