Comparison between estimated and measured myopia progression in Hong Kong children without myopia control intervention

Developmental characteristics and control effects of myopia and eye diseases in children and adolescents: a school-based retrospective cohort study in Southwest China

OBJECTIVES

To characterise the prevalence of myopia and eye diseases among school adolescents and children in Southwest China, and to evaluate the effectiveness of myopia control tools.

DESIGN

Retrospective cohort study.

SETTING

Across 95 basic education institutions in Southwest China.

PARTICIPANTS

96 146 children aged 3-17 years from a school-based survey conducted between 2019 and 2021.

PRIMARY OUTCOME MEASURES

The data of vision assessment and eye disease examination of school students were analysed, including a total of four surveys once per semester. The prevalence of myopia categorised as low (-0.5D to -3.0D), moderate (-3.0D to -6.0D) and high (≥-6.0D), along with the prevalence of significant ocular diseases, was assessed. Stratified analyses were conducted to investigate the impact of correction time on visual acuity (VA) and biological parameters. Subsequently, the subjects across the groups were matched using the nearest neighbour method, followed by multidimensional statistical analysis.

RESULTS

The prevalence of myopia among the surveyed students was 38.39%. After controlling for confounding variables, the statistical analysis revealed a 0.1 increase in mean VA within the orthokeratology group and a 0.1 decrease in VA within the spectacle group (p<0.001), with statistically significant differences in corneal radius, corneal curvature and equivalent spherical lens (p<0.05). Multivariate analysis indicated a statistically significant reduction in VA in the ophthalmopathy group compared with the control group (p=0.031). Furthermore, it was demonstrated that the risk of eye disease during vision correction was greater among older students than their younger counterparts (OR>1), and that female students exhibited a higher risk than male students (OR=1.5).

CONCLUSIONS

The current high prevalence of myopia and eye diseases among Southwest China's school youths demands public health attention. Minors wearing orthokeratology lenses at night, especially in primary school, exhibit significantly improved naked-eye vision. However, vigilant eye healthcare during the correction period is crucial, especially for girls.

Influence of age and race on axial elongation in myopic children: A systematic review and meta-regression

PURPOSE

Axial elongation is the basis of progression in primary myopia and the preferred metric to monitor its evolution. We conducted a meta-regression to model axial elongation and its associated factors in children with low to moderate myopia.

METHODS

A comprehensive electronic systematic search was performed using Ovid Medline, EMBASE, and Cochrane Central Register of Controlled Trials of studies conducted up until October 2021. The mean rate of axial elongation was analyzed using a multivariate linear mixed-effects meta-regression model, with backward stepwise elimination of nonsignificant covariates. The model included three levels of random effects, allowing both prediction and confidence intervals to be estimated.

RESULTS

A total of 64 studies with 83 subpopulations and 142 evaluations of mean axial change from baseline met our inclusion criteria and had no missing significant covariates in the final model. A separate analysis including all populations with axial length data (202 evaluations) but missing variance or covariate data produced a similar model to that for the analysis with complete data. The mean axial elongation is 38% greater in Asian children (95% confidence interval, 19 to 61%; p<0.01) compared with non-Asians, but both groups show a 15% decline per year as age increases (95% confidence interval, 12 to 17% p<0.0001). Prediction intervals indicate substantial variability around the axial elongation estimates.

CONCLUSIONS

This analysis provides mean values of axial elongation for evaluation of efficacy of myopia control. The broad prediction intervals emphasize the large range of individual axial elongation rates in the population, illustrating the challenge in managing individual children. Interpretation of the analysis is limited by the use of aggregated data rather than individual subject data.

Myopia progression patterns among paediatric patients in a clinical setting

PURPOSE

This retrospective analysis of electronic medical record (EMR) data investigated the natural history of myopic progression in children from optometric practices in Ireland.

METHODS

The analysis was of myopic patients aged 7-17 with multiple visits and not prescribed myopia control treatment. Sex- and age-specific population centiles for annual myopic progression were derived by fitting a weighted cubic spline to empirical quantiles. These were compared to progression rates derived from control group data obtained from 17 randomised clinical trials (RCTs) for myopia. Linear mixed models (LMMs) were used to allow comparison of myopia progression rates against outputs from a predictive online calculator. Survival analysis was performed to determine the intervals at which a significant level of myopic progression was predicted to occur.

RESULTS

Myopia progression was highest in children aged 7 years (median: -0.67 D/year) and progressively slowed with increasing age (median: -0.18 D/year at age 17). Female sex (p < 0.001), a more myopic SER at baseline (p < 0.001) and younger age (p < 0.001) were all found to be predictive of faster myopic progression. Every RCT exhibited a mean progression higher than the median centile observed in the EMR data, while clinic-based studies more closely matched the median progression rates. The LMM predicted faster myopia progression for patients with higher baseline myopia levels, in keeping with previous studies, which was in contrast to an online calculator that predicted slower myopia progression for patients with higher baseline myopia. Survival analysis indicated that at a recall period of 12 months, myopia will have progressed in between 10% and 70% of children, depending upon age.

CONCLUSIONS

This study produced progression centiles of untreated myopic children, helping to define the natural history of untreated myopia. This will enable clinicians to better predict both refractive outcomes without treatment and monitor treatment efficacy, particularly in the absence of axial length data.

Effectiveness of myopia control interventions: A systematic review of 12 randomized control trials published between 2019 and 2021

Purpose

This study aims to investigate the effectiveness of interventions to control myopia progression. In this systematic review, the primary outcomes were mean differences (MD) between treatment and control groups in myopia progression (D) and axial length (AL) elongation (mm).

Results

The following interventions were found to be effective (p < 0.001): highly aspherical lenslets (HAL, 0.80 D, 95% CI, 0.77-0.83; -0.35 mm, 95% CI -0.36 to -0.34), MiSight contact lenses (0.66 D, 95% CI, 0.63-0.69; -0.28 mm, 95% CI -0.29 to -0.27), low dose atropine 0.05% (0.54 D, 95% CI, 0.38-0.70; -0.21 mm, 95% CI-0.28 to -0.14), Biofinity +2.50 D (0.45 D, 95% CI, 0.29, 0.61; -0.24 mm, 95% CI -0.33 to -0.15), defocus incorporated multiple segments [DIMS] (0.44 D, 95% CI, 0.42-0.46; -0.34 mm, 95% CI -0.35 to -0.33) and ortho-k lenses (-0.24 mm, 95% CI -0.33 to -01.5).

Conclusion

Low-dose atropine 0.01% was not effective in reducing AL progression in two studies. Treatment efficacy with low-dose atropine of 0.05% showed good efficacy. Spectacles (HAL and DIMS) and contact lenses (MiSight and Biofinity) may confer a comparable treatment benefit compared to atropine, to slow myopia progression.

A Proposed Method for Estimating Refractive Error in Primary School Children

Background This study aimed to evaluate consecutive measurements of biometric parameters, age, and refraction in a cohort of Turkish primary school-age children and to assess the correlation between biometric changes and refraction. Methodology The study population was seven and 12-year-old children (n = 197). The retrieved data consisted of three consecutive measurements with a one-year interval for each subject. Data from one eye (right) were used. Age, gender, body mass index, spherical equivalent (SE), axial length (AL), anterior chamber depth (ACD), central corneal thickness (CCT), keratometry (K), and lens thickness (LT) were analyzed. The onset and final data were retrieved from the database in 2013 and 2016, respectively. Statistically, logistic and Cox regression models of all parameters were analyzed, and the significance level was set at 5%. Results The median of the onset and final SE values were -0.00 D (0.00-0.00) and 0.50 D (0.19-1.00), respectively. The onset AL (hazard ratio (HR) = 5.82, 95% confidence interval (CI) = 3.45-9.76, β = 1.76, p < 0.001), K_mean (HR = 2.28, 95% CI = 1.67-3.11, β = 0.82, p < 0.001), and age (HR = 0.77, 95% CI = 0.59-0.99, β = -0.26, p = 0.046) were correlated with myopia progression. To calculate the estimated SE, the onset data were included in the logistic regression model. The onset SE (β = 0.916, p < 0.001), AL (β = -0.451, p < 0.001), ACD (β = 0.430, p = 0.005), and K (β = -0.172, p < 0.001) were correlated with the mean final SE. An equation was generated using the regression model analysis. Conclusions The onset parameters of SE, AL, ACD, and K were confirmed to correlate with the final SE values in the proposed model. To confirm the use of the refractive calculator, a cross-validation analysis is needed to estimate three-year subsequent refractive error among seven and 12-year-old children.

Mathematical Estimation of Axial Length Increment in the Control of Myopia Progression

This study aims to evaluate the existing mathematical approach for the theoretical estimation of axial length (AL) in a cross-sectional study, developing a new mathematical model and testing it in a longitudinal sample. Many professionals do not have a device to measure the AL due to clinic space and cost of equipment. However, this parameter plays an important role in the assessment of myopia progression to monitor treatment effects with myopia control strategies. First, a cross-sectional study based on the mathematical equation proposed by Morgan was performed. The AL was estimated based on the mean values of keratometry and spherical equivalent in 1783 subjects (52% female), aged 14.6 ± 4.6 years (6 to 25 years), of whom 738 were myopic, 770 emmetropic and 275 hyperopic. On average, the AL estimated with the Morgan formula was 0.25 ± 0.48 mm larger than the real AL value (95% limits of agreement: +0.70 to −1.20 mm). The study by gender, ametropia, type of astigmatism and age showed statistically significant differences between the real AL and predicted AL_Morgan (r > 0.750, spearman). Based on the previous sample, a multiple linear regression was applied, and a new mathematical model was proposed. The model was tested on a longitudinal sample of 152 subjects whose mean age was 13.3 ± 3.1 years (9 to 24 years) and of whom 96 were female (64%). The sample consisted of 46 myopes, 82 emmetropes and 24 hyperopes. The longitudinal study of the differences in axial length at one year between the models showed no statistically significant differences and that the mathematical equations are valid for estimating differences in axial increment for ages between 9 and 24 years, despite errors in the predicted value for axial length.