4.6 Article

Retinal microvascular network geometry and cognitive abilities in community-dwelling older people: The Lothian Birth Cohort 1936 study

期刊

BRITISH JOURNAL OF OPHTHALMOLOGY
卷 101, 期 7, 页码 993-998

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BMJ PUBLISHING GROUP
DOI: 10.1136/bjophthalmol-2016-309017

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资金

  1. Age UK
  2. Engineering and Physical Sciences Research Council [EP/M005976/1]
  3. Wellcome Trust [075611]
  4. Engineering and Physical Sciences Research Council [EP/M005976/1] Funding Source: researchfish
  5. Medical Research Council [MR/M013111/1, MR/K026992/1] Funding Source: researchfish
  6. Stroke Association [TSA15LECT04] Funding Source: researchfish
  7. EPSRC [EP/M005976/1] Funding Source: UKRI
  8. MRC [MR/M013111/1] Funding Source: UKRI

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Aim To examine the relationship between retinal vascular morphology and cognitive abilities in a narrow-age cohort of community-dwelling older people. Methods Digital retinal images taken at age similar to 73 years from 683 participants of the Lothian Birth Cohort 1936 (LBC1936) were analysed with Singapore I Vessel Assessment (SIVA) software. Multiple regression models were applied to determine cross-sectional associations between retinal vascular parameters and general cognitive ability (g), memory, processing speed, visuospatial ability, crystallised cognitive ability and change in IQ from childhood to older age. Results After adjustment for cognitive ability at age 11 years and cardiovascular risk factors, venular length-to-diameter ratio was nominally significantly associated with processing speed (beta=-0.116, p=0.01) and g (beta=-0.079, p=0.04). Arteriolar length-to-diameter ratio was associated with visuospatial ability (beta=0.092, p=0.04). Decreased arteriolar junctional exponent deviation and increased arteriolar branching coefficient values were associated with less relative decline in IQ between childhood and older age (arteriolar junctional exponent deviation: beta=-0.101, p=0.02; arteriolar branching coefficient: beta=0.089, p=0.04). Data are presented as standardised beta coefficients (beta) reflecting change in cognitive domain score associated with an increase of 1 SD unit in retinal parameter. None of these nominally significant associations remained significant after correction for multiple statistical testing. Conclusions Retinal parameters contributed <1% of the variance in the majority of associations observed. Whereas retinal analysis may have potential for early detection of some types of age-related cognitive decline and dementia, our results present little evidence that retinal vascular features are associated with non-pathological cognitive ageing.

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