Investigative Ophthalmology & Visual Science Cover Image for Volume 62, Issue 8
June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Relationship between choroidal thickness, axial length, and degree of myopia in European children
Author Affiliations & Notes
  • Emmanuel Kobia-Acquah
    Centre for Eye Research Ireland, Technological University Dublin, Dublin, Dublin, Ireland
  • Ian Flitcroft
    Centre for Eye Research Ireland, Technological University Dublin, Dublin, Dublin, Ireland
    Department of Ophthalmology, Temple Street Children’s University Hospital, Dublin, Ireland
  • Gabriela Martinez Hernandez
    Centre for Eye Research Ireland, Technological University Dublin, Dublin, Dublin, Ireland
  • Ekaterina Loskutova
    Centre for Eye Research Ireland, Technological University Dublin, Dublin, Dublin, Ireland
  • James Loughman
    Centre for Eye Research Ireland, Technological University Dublin, Dublin, Dublin, Ireland
  • Footnotes
    Commercial Relationships   Emmanuel Kobia-Acquah, None; Ian Flitcroft, None; Gabriela Hernandez, None; Ekaterina Loskutova, None; James Loughman, None
  • Footnotes
    Support  This work was supported by the Medical Research Charities Group (MRCG) and funded by the Health Research Board (HRB) and Fighting Blindness [MRCG 2016-13]
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 1386. doi:
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      Emmanuel Kobia-Acquah, Ian Flitcroft, Gabriela Martinez Hernandez, Ekaterina Loskutova, James Loughman; Relationship between choroidal thickness, axial length, and degree of myopia in European children. Invest. Ophthalmol. Vis. Sci. 2021;62(8):1386.

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

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Abstract

Purpose : Myopia has been associated with structural changes such as axial elongation and thinning of the retina and choroid. The relationship between choroidal thickness (CT), axial length (AL) and myopia has been studied in adult populations, however, there is little evidence available in children. Baseline data of 248 myopic children aged 6-16 years and enrolled in the Myopia Outcome Study of Atropine in Children (MOSAIC) clinical trial (ISRCTN36732601) were analysed to investigate the relationship between CT, AL and myopia in European children.

Methods : Myopia was categorized into three subgroups: low myopia (<= -0.50 D to -3.00 D); moderate myopia (< -3.00 D to > -6.00 D); high myopia (<= -6.00D). Macular CT images were obtained using Triton Swept Source OCT; AL was measured with the Topcon Aladdin; cycloplegic spherical equivalent refraction (SER) was measured with the Grand Seiko Open Field autorefractor. Multiple linear regression analysis was used to explore associations between CT and age, gender, AL, and SER. A P-value of .05 was considered statistically significant.

Results : The mean±SD age of participants was 11.3±2.4 years (63% females). There was a statistically significant difference in mean CT across the three myopic groups (P=.0002). A negative correlation between CT and AL was observed, with each additional millimeter in AL equating to a 21.2mm lower CT (P<.0001). There was a statistically significant positive correlation between CT and SER, with each additional diopter of myopia equating to a 11.5mm greater CT (P<.0001). Only AL was significantly associated with CT after adjusting for age, sex, and SER in the studied population. CT was thicker in females than in males (240.0mm vs 230.8mm; P=.29); thicker in younger (age 6-11) than older (age 12-16) children (242.9mm vs 229.5mm; P=.11).

Conclusions : The current study showed that CT was thinnest in high myopes and was associated with AL in European children. The MOSAIC trial will evaluate longitudinal changes in CT in children with progressive myopia to understand the relationship between CT, AL and other ocular parameters both with (0.01% atropine treatment group) and without (placebo control group) myopia control treatment with low dose atropine.

This is a 2021 ARVO Annual Meeting abstract.

 


Fig 1. (A) Inverse correlation between CT and AL and (B) Positive correlation between CT and SER.


Fig 1. (A) Inverse correlation between CT and AL and (B) Positive correlation between CT and SER.

 


Table 1. Multiple linear regression to determine associations between CT and study variables.


Table 1. Multiple linear regression to determine associations between CT and study variables.

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