Investigative Ophthalmology & Visual Science Cover Image for Volume 61, Issue 7
June 2020
Volume 61, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2020
Annual myopia progression and subsequent year progression in Singaporean children
Author Affiliations & Notes
  • Noel A. Brennan
    Johnson & Johnson Vision, Johnson & Johnson Vision Care, Jacksonville , Florida, United States
  • Saiko Matsumara
    Singapore Eye Research Institute, Singapore
  • Hla Myint Htoon
    Singapore Eye Research Institute, Singapore
    Duke-NUS Medical School, Singapore
  • Biten K Kathrani
    Johnson & Johnson Vision, Johnson & Johnson Vision Care, Jacksonville , Florida, United States
  • Chuen Seng Tan
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
  • Carla Lanca
    Singapore Eye Research Institute, Singapore
  • Donald Tan
    Duke-NUS Medical School, Singapore
    Singapore National Eye Centre, Singapore
  • Charumathi Sabanayagam
    Singapore Eye Research Institute, Singapore
    Duke-NUS Medical School, Singapore
  • Seang-Mei Saw
    Singapore Eye Research Institute, Singapore
    Duke-NUS Medical School, Singapore
  • Footnotes
    Commercial Relationships   Noel Brennan, Johnson & Johnson Vision (E); Saiko Matsumara, None; Hla Htoon, None; Biten K Kathrani, Johnson & Johnson Vision (E); Chuen Seng Tan, None; Carla Lanca, None; Donald Tan, None; Charumathi Sabanayagam, None; Seang-Mei Saw, None
  • Footnotes
    Support  IAF-ICP, Johnson & Johnson Vision Care (Grants I190E0038), NMRC
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 76. doi:
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    • Get Citation

      Noel A. Brennan, Saiko Matsumara, Hla Myint Htoon, Biten K Kathrani, Chuen Seng Tan, Carla Lanca, Donald Tan, Charumathi Sabanayagam, Seang-Mei Saw; Annual myopia progression and subsequent year progression in Singaporean children. Invest. Ophthalmol. Vis. Sci. 2020;61(7):76.

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

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Abstract

Purpose : To investigate predictors of myopia progression for subsequent year amongst myopic children in the Singapore Cohort Study of the Risk Factors for Myopia (SCORM).

Methods : A total of 674 myopic children (353M, 321F) aged 7 to 10 (mean 8.0 ± 0.9) years from 3 schools at baseline with at least 2 follow-up visits in SCORM were included. Cycloplegic autorefraction (RK5 autokeratorefractometer) and axial length (AL) measurement (US-800 Echo scan) were performed at every visit. Multiple linear regression analysis was performed with annual future myopia progression as the dependent variable. Receiver operating characteristic (ROC) curves from multiple logistic regressions were used to derive prediction scores for future fast myopia progression defined by the median cut at different durations of different follow up years.

Results : Myopia progression in Year 1 correlated with Year 2 progression (r = 0.47; see figure). For every 1 D increase in annual myopia progression in Year 1, Year 2 progression increased by 0.35 D (p < 0.001), in a multivariate linear regression model. Children with slow myopia progression during the first year (Year 1) (>-0.50 D/year) had the slowest mean Year 2 progression (-0.44 ± 0.44 D/Year), while children with fast myopia progression (<-1.25 D) in Year 1 had the fastest mean progression (-1.01 ± 0.39 D/year) in Year 2. There was a dose-response relationship (p for trend < 0.001). Year 1 myopia progression had the highest AUC for predicting fast Year 2 progression [0.76 (95% CI 0.73-0.80)] when compared to baseline SE [0.70 (95% CI 0.66-0.73)] or age of myopia onset [0.70 (95% CI 0.66-0.73)] or parental myopia [0.70 (95% CI 0.66-0.73)], after adjusting for confounders. For Year 1 myopia progression, AUC for predicting fast Year 2 progression was 0.76 [95% CI 0.73-0.80] and higher than those for fast Year 3 [0.69 (95% CI 0.65-0.73)] or Year 4 [0.63 (95% CI 0.57-0.68)] progression.

Conclusions : One-year annual myopia progression correlates with immediate subsequent year myopia progression. However, annual progression as a single factor cannot fully predict subsequent year or long term myopia progression. Strategic management to a given individual should be determined based on multiple patient-specific factors including myopia progression in the previous year, age of myopia onset and parental myopia.

This is a 2020 ARVO Annual Meeting abstract.

 

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