25 research outputs found

    Prescribing patterns of myopia control contact lenses among optometrists in Ireland

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    Purpose This retrospective analysis of electronic medical record (EMR) data investigated the prescribing patterns of soft myopia control contact lens (MCCL) treatments since their introduction in Ireland in 2017. Methods Anonymised EMR data were sourced from 33 optometry practices in Ireland from 2017 to 2021 to determine the number of practices prescribing MCCLs to myopic children 5–18 years old. In MCCL-prescribing practices, the proportion of contact lens wearing children fitted with MCCLs and the proportion of progressive (≤−0.25 D/year) myopic children fitted with MCCLs were determined. Logistic regression was used to determine which factors influenced the likelihood of being prescribed a MCCL. Results Overall, just 10 practices were found to prescribe MCCLs of any type. The Coopervision MiSight contact lens was used in 85% of all MCCL fittings with most other fits being off-label multifocals. The use of MCCLs rose from 3% of contact lens fits in 2017 to 27% in 2021. Children fitted with MCCLs were on average younger (12.2 ± 2.3 years vs. 15.4 ± 2.1 years) but more myopic (−3.46 ± 1.84 D vs. −3.03 ± 1.69 D) than those fitted with standard contact lenses. The most predictive factors for being fitted with MCCLs were year of examination (OR: 2.54, 95% CI: 2.13, 3.03), younger age (OR: 1.52, 95% CI: 1.39, 1.64) and greater myopia (OR: 1.25, 95% CI: 1.11, 1.39). Conclusion Clinician engagement in myopia management has increased in Ireland since the formal introduction of MCCLs, but more than two-thirds of practices included are yet to offer this form of myopia management. The proportion of children with progressive myopia that has been prescribed MCCLs has increased, but the majority of children are still managed for vision correction only. There is significant scope for improving the uptake of evidence-based myopia control treatments and for optimising the age and degree of myopia at which such interventions are initiated

    The relationship between serum zinc levels and myopia

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    Clinical significance: Myopia is inherently associated with eye growth and thereby possibly amenable to nutritional influence. However, little attention has been given to possible die- tary influences. This study demonstrates that serum zinc does not play a role in myopia development. Background: Myopia is inherently associated with eye growth and thereby possibly amena- ble to nutritional influence. A number of Asian studies have reported lower levels of serum zinc in myopic children. This study was designed to assess the relationship between serum zinc and myopia in the Korean population – using a subsample of participants from nation- ally representative data

    Using electronic medical record data to establish and monitor the distribution of refractive errors

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    Objective To establish the baseline distribution of refractive errors and associated factors amongst a population that attended primary care optometry clinics. Design Retrospective cross sectional cohort study of electronic medical records (EMR). Methods Electronic medical record data was extracted from forty optometry clinics, representing a mix of urban and rural areas in Ireland. The analysis was confined to demographic and clinical data gathered over a sixty-month period between 2015 and 2019. Distribution rates were calculated using the absolute and relative frequencies of refractive error in the dataset, stratified for age and gender using the following definitions: high myopia ≤ -6.00 D, myopia ≤ -0.50 D, hyperopia ≥ +0.50 D, astigmatism ≤ -0.75 DC and anisometropia ≥ 1.00 D. Visual acuity data was used to explore vision impairment rates in the population. Further analysis was carried out on a gender and age-adjusted subset of the EMR data, to match the proportion of patients in each age grouping to the population distribution in the most recent (2016) Irish census. Results 153,598 clinic records were eligible for analysis. Refractive errors ranged from -26.00 to +18.50 D. Myopia was present in 32.7%, of which high myopia represented 2.4%, hyperopia in 40.1%, astigmatism in 38.3% and anisometropia in 13.4% of participants. The clinic distribution of hyperopia, astigmatism and anisometropia peaked in older age groups, whilst the myopia burden was highest amongst people in their twenties. A higher proportion of females were myopic, whilst a higher proportion of males were hyperopic and astigmatic. Vision impairment (LogMAR \u3e 0.3) was present in 2.4% of participants. In the gender and age- adjusted distribution model, myopia was the most common refractive state, affecting 38.8% of patients. Conclusion Although EMR data is not representative of the population as a whole, it is likely to provide a reasonable representation of the distribution of clinically significant (symptomatic) refractive errors. In the absence of any ongoing traditional epidemiological studies of refractive error in Ireland, this study establishes, for the first time, the distribution of refractive errors observed in clinical practice settings. This will serve as a baseline for future temporal trend analysis of the changing pattern of the distribution of refractive error in EMR data. This methodology could be deployed as a useful epidemiological resource in similar settings where primary eyecare coverage for the management of refractive error is well established

    Association of Total Zinc Intake with Myopia in U.S. Children and Adolescents

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    Significance: This present study advances our knowledge on the role of lifestyle factors in myopia (short-sightedness), specifically dietary factors. It has been suggested in previous studies that lower zinc status is associated with myopia; however, this article shows no relationship between dietary zinc intake and myopia in U.S. adolescents. Purpose: It has been suggested that low zinc levels may contribute to the development of myopia. The aim of the present study is to examine, for the first time in a Western population, the association of total dietary and supplement zinc intake with myopia. Methods: A total of 1095 children/adolescents aged 12 to 19 years who participated in the U.S. National Health and Nutrition Examination Survey from 2007 to 2008 were enrolled in this study. Multivariate logistic regression analysis was performed to examine the relationship between total zinc intake and myopia after adjustment for potential confounders. In addition, the association between total zinc intake and spherical equivalent refractive error was examined in the myopia group through multiple linear regression. Results: Among study participants, 30% were found to be myopic (≤-1.00 D). Although median total daily zinc intake was lower among myopes (10.8 [10.2] mg/d) than among nonmyopes (11.1 [10.8] mg/d), the difference was not statistically significant (P = .11). In multiple logistic regression analyses, zinc and copper intakes were not significantly associated with myopia after adjustment for age, sex, body mass index, ethnicity, family income, recreational activity, copper intake, and daily energy intake (in kilocalories per day). In multiple linear regression, spherical equivalent refractive error was not associated with total zinc intake in the myopic group after adjustment for confounding factors (P = .13). Conclusions: In contrast to previous Asian studies, total zinc intake is not associated with the presence of myopia in U.S. adolescents/children

    MOSAIC Clinical Trial Statistical Analysis Plan Primary Analysis v1.2

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    The Myopia Outcome Study of Atropine Treatment in Children (MOSAIC) is an investigator-led, double-masked randomised controlled trial of nightly atropine 0.01% eye drops compared to nightly placebo eye drops. A previously published protocol paper outlines the rationale, objective and sample size calculation for the study.1 A total of 250 participants were enrolled in the study and were randomised 2:1 to active treatment and placebo, respectively. This document outlines the plan for analysis of the 24-month outcomes of the MOSAIC

    Will treating progressive myopia overwhelm the eye care workforce? A workforce modelling study

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    Purpose Treatments for myopia progression are now available, but implementing these into clinical practice will place a burden on the eye care workforce. This study estimated the full-time equivalent (FTE) workforce required to implement myopia control treatments in the UK and Ireland. Methods To estimate the number of 6- to 21-year-olds with myopia, two models utilising separate data sources were developed. The examination-based model used: (1) the number of primary care eye examinations conducted annually and (2) the proportion of these that are for myopic young people. The prevalence-based model used epidemiological data on the age-specific prevalence of myopia. The proportion of myopic young people progressing ≥0.25 dioptres (D)/year or ≥0.50 D/year was obtained from Irish electronic health records and the recommended review schedule from clinical management guidelines. Results Using the examination and prevalence models, respectively, the estimated number of young people with myopia was 2,469,943 and 2,235,713. The extra workforce required to provide comprehensive myopia management for this target population was estimated at 226–317 FTE at the 0.50 D/year threshold and 433–630 FTE at the 0.25 D/year threshold. Extra visits required for myopia control treatment represented approximately 2.6% of current primary eye care examinations versus 13.6% of hospital examinations. Conclusions Implementing new myopia control treatments in primary care settings over the medium-term is unlikely to overwhelm the eye care workforce completely. Further increases to workforce, upskilling of current workforce and tools to reduce chair time will help to ensure sustainability of the eye care workforce into the future

    The Refractive Error and Vision Impairment Estimation with Spectacle Data Study

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    Purpose: To investigate whether spectacle lens sales data can be used to estimate the population distribution of refractive error among patients with ametropia and hence to estimate the current and future risk of vision impairment. Design: Cross-sectional study. Participants: A total of 141 547 436 spectacle lens sales records from an international European lens manufacturer between 1998 and 2016. Methods: Anonymized patient spectacle lens sales data, including refractive error information, was provided by a major European spectacle lens manufacturer. Data from the Gutenberg Health Survey was digitized to allow comparison of a representative, population-based sample with the spectacle lens sales data. A bootstrap analysis was completed to assess the comparability of both datasets. The expected level of vision impairment resulting from myopia at 75 years of age was calculated for both datasets using a previously published risk estimation equation combined with a saturation function. Main Outcome Measures: Comparability of spectacle lens sales data on refractive error with typical population surveys of refractive error and its potential usefulness to predict vision impairment resulting from refractive error. Results: Equivalent estimates of the population distribution of spherical equivalent refraction can be provided from spectacle lens data within limits. For myopia, the population distribution was equivalent to the Gutenberg Health Survey (\u3c 5% deviation) for levels of e2.0 diopters (D) or less, whereas for hyperopia, the distribution was equivalent (\u3c 5% deviation) for levels of þ3.0 D or more. The estimated rates of vision impairment resulting from myopia were not statistically significantly different (chi-square, 182; degrees of freedom, 169; P ¼ 0.234) between the spectacle lens dataset and Gutenberg Health Survey dataset. Conclusions: The distribution of refractive error and hence the risk of vision impairment resulting from refractive error within a population can be determined using spectacle lens sales data. Pooling this type of data from multiple industry sources could provide a cost-effective, timely, and globally representative mechanism for monitoring the evolving epidemiologic features of refractive error and associated vision impairment

    Application of big-data for epidemiological studies of refractive error

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    Purpose To examine whether data sourced from electronic medical records (EMR) and a large industrial spectacle lens manufacturing database can estimate refractive error distribution within large populations as an alternative to typical population surveys of refractive error. Subjects A total of 555,528 patient visits from 28 Irish primary care optometry practices between the years 1980 and 2019 and 141,547,436 spectacle lens sales records from an international European lens manufacturer between the years 1998 and 2016. Methods Anonymized EMR data included demographic, refractive and visual acuity values. Anonymized spectacle lens data included refractive data. Spectacle lens data was separated into lenses containing an addition (ADD) and those without an addition (SV). The proportions of refractive errors from the EMR data and ADD lenses were compared to published results from the European Eye Epidemiology (E3) Consortium and the Gutenberg Health Study (GHS). Results Age and gender matched proportions of refractive error were comparable in the E3 data and the EMR data, with no significant difference in the overall refractive error distribution (χ2 = 527, p = 0.29, DoF = 510). EMR data provided a closer match to the E3 refractive error distribution by age than the ADD lens data. The ADD lens data, however, provided a closer approximation to the E3 data for total myopia prevalence than the GHS data, up to age 64. Conclusions The prevalence of refractive error within a population can be estimated using EMR data in the absence of population surveys. Industry derived sales data can also provide insights on the epidemiology of refractive errors in a population over certain age ranges. EMR and industrial data may therefore provide a fast and cost-effective surrogate measure of refractive error distribution that can be used for future health service planning purposes

    Choroidal Thickness Profiles and Associated Factors in Myopic Children

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    SIGNIFICANCE: This study addresses the lack of choroidal thickness (ChT) profile information available in European children and provides a baseline for further evaluation of longitudinal changes in ChT profiles in myopic children as a potential biomarker for myopia treatment and identifying children at risk of myopic progression. PURPOSE: This study aimed to investigate ChT profiles and associated factors in myopic children. METHODS: Baseline data of 250 myopic children aged 6 to 16 years in the Myopia Outcome Study of Atropine in Children clinical trial were analyzed. Choroidal thickness images were obtained using swept-source optical coherence tomography (DRI-OCT Triton Plus; Topcon Corporation, Tokyo, Japan). The macula was divided into nine Early Treatment of Diabetic Retinopathy Study locations with diameters of 1, 3, and 6 mm corresponding to the central fovea, parafoveal, and perifoveal regions. Multiple linear regression models were used to investigate determinants of ChT. RESULTS: Choroidal thickness varied across themacular Early Treatment of Diabetic Retinopathy Study locations (P \u3c .001): thickest in the perifoveal superior region (mean ± standard deviation, 249.0 ± 60.8 μm) and thinnest in the perifoveal nasal region (155.1 ± 50.3 μm). On average, ChT was greater in all parafoveal (231.8 ± 57.8 μm) compared with perifoveal (218.1 ± 49.1 μm) regions except superiorly where the ChT was greater in the perifoveal region. Longer axial length and higher myopic spherical equivalent refraction were consistently associated with thinner ChT at all locations in the multiple linear regression models. Asian race was significantly associated with thinner ChT only at parafoveal and perifoveal superior regions after Bonferroni correction (P = .004 and P = .001, respectively). CONCLUSIONS: Choroidal thickness was thinnest in the nasal macular region and varied systematically across all macular locations, with axial length and spherical equivalent refraction being the strongest determinants of ChT. Longitudinal evidence will need to evaluate whether any differences in ChT profiles are predictive of myopic progression and to determine the role of ChT measurements in identifying myopic children most in need of myopia control treatment

    Novel Myopia Genes and Pathways Identified From Syndromic Forms of Myopia

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    Clinical phenotypes and syndromes that have refractive errors as a recognized feature were identified using the Online Mendelian Inheritance in Man (OMIM) database. One hundred fifty-four unique causative genes were identified, of which 119 were specifically linked with myopia and 114 represented syndromic myopia (i.e., myopia and at least one other clinical feature). Myopia was the only refractive error listed for 98 genes and hyperopia and the only refractive error noted for 28 genes, with the remaining 28 genes linked to phenotypes with multiple forms of refractive error. Pathway analysis was carried out to find biological processes overrepresented within these sets of genes. Genetic variants located within 50 kb of the 119 myopia-related genes were evaluated for involvement in refractive error by analysis of summary statistics from genome-wide association studies (GWAS) conducted by the CREAM Consortium and 23andMe, using both single-marker and gene-based tests
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