June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Ratio of Refractive Error Change to Axial Elongation in Young Myopes
Author Affiliations & Notes
  • Alex Nixon
    Johnson and Johnson Vision, Jacksonville, Florida, United States
  • Wright Shamp
    Johnson and Johnson Vision, Jacksonville, Florida, United States
  • Elizabeth Maynes
    Johnson and Johnson Vision, Jacksonville, Florida, United States
  • Xu Cheng
    Johnson and Johnson Vision, Jacksonville, Florida, United States
  • Mark A Bullimore
    University of Houston College of Optometry, Houston, Texas, United States
  • Noel A Brennan
    Johnson and Johnson Vision, Jacksonville, Florida, United States
  • Footnotes
    Commercial Relationships   Alex Nixon Johnson and Johnson Vision, Code E (Employment); Wright Shamp Johnson and Johnson Vision, Code E (Employment); Elizabeth Maynes Johnson and Johnson Vision, Code E (Employment); Xu Cheng Johnson and Johnson Vision, Code E (Employment); Mark Bullimore Johnson and Johnson Vision, Code C (Consultant/Contractor); Noel Brennan Johnson and Johnson Vision, Code E (Employment)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 255 – A0109. doi:
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    • Get Citation

      Alex Nixon, Wright Shamp, Elizabeth Maynes, Xu Cheng, Mark A Bullimore, Noel A Brennan; Ratio of Refractive Error Change to Axial Elongation in Young Myopes. Invest. Ophthalmol. Vis. Sci. 2022;63(7):255 – A0109.

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

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Abstract

Purpose : With increasing use of axial length to monitor myopia progression, the ratio of refractive error (RE) change to axial elongation (AE) has important clinical implications. However, the true value of the ratio and how age and axial length affect it remain uncertain. We conducted a systematic review and meta-analysis to model the ratio.

Methods : A systematic search was performed using Ovid Medline, EMBASE, and Cochrane Central Register of Controlled Trials. The following combined terms were used: “myopia” or “myopic” and “child” or “children” and “progression” or “longitudinal” or “follow-up” or “shift” and “axial”. Studies containing simultaneous RE change and AE in untreated eyes were identified. Other data collected were mean baseline age, standard deviation (SD) of AE, SD of RE change, sample size and proportion of Asian subjects in the study population. Due to desired statistical properties, the natural logarithm of the magnitude of mean refractive error change versus mean axial elongation was analyzed with a weighted multivariable linear mixed effects meta-analysis model, including three levels of random effects to account for all variability. The standard inverse variance method was used for weighting. Baseline values for mean RE and mean AE were included in the model as covariates.

Results : A total of 67 studies with 86 different subpopulations and 167 evaluations contained complete data sets. The model is plotted in the Figure and covariates summarized in the Table. The overall weighted mean ratio was 2.04 [95%CI: 1.96, 2.12] D/mm. No covariates were statistically significant. Prediction intervals were relatively large, potentially reflecting variability in refractive error.

Conclusions : This work sets a benchmark for clinical expectations with respect to the ratio between RE change and AE in myopic children. The lack of apparent impact of age on the ratio may reflect counterbalance between physiologic growth observed in younger children and a decreased ratio, anticipated from optical calculations, in longer eyes of older children. Interpretation should take into account limitations of using aggregated rather than individual subject data.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

Prediction and confidence interval for baseline refractive error and baseline axial length set to their overall respective means. Data points are sized proportionally to the weight used in the regression.

Prediction and confidence interval for baseline refractive error and baseline axial length set to their overall respective means. Data points are sized proportionally to the weight used in the regression.

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