Influence of Cycloplegia on Axial Length Prediction Models in a Paediatric Sample

Abstract Clinical Relevance Accurate axial length (AL) estimation is vital for monitoring myopia progression in children, especially in primary care where optical biometers are often unavailable. Prediction models with cycloplegic measurements may offer a reliable alternative. Purpose To assess the effect of cycloplegia on the accuracy and repeatability of several AL prediction models in a paediatric sample and to identify which models maintain minimal bias under both cycloplegic and non-cycloplegic conditions. Methods Ninety-six children (mean age 12.5 ± 2.4 years) underwent repeated measurements of spherical equivalent refraction (SER), anterior corneal curvature ( K mean ) and AL, pre- and post-cycloplegia, using the Myopia Master. Seven published prediction models incorporating SER, K mean , age and sex were evaluated. Agreement, bias, limits of agreement (LoA), coefficient of repeatability (CoR), intraclass correlation coefficient (ICC) and regression analyses were used to assess performance and repeatability. Results Cycloplegia induced a hyperopic shift (mean +0.79 D), most pronounced in emmetropic and hyperopic eyes. Measured AL and all models showed improved repeatability post-cycloplegia (measured AL CoR decreased from ~0.14 mm to ~0.09 mm; ICC > 0.99). Pre-cycloplegia, models overestimated AL (mean differences from –0.87 to –0.24 mm); these biases were reduced post-cycloplegia (mean differences from –0.56 to +0.10 mm). Models by Morgan et al., Queirós et al. and Lingham had the smallest bias (<0.10 mm) and narrowest LoA (<0.84 mm). Variation in SER accounted for ~97–99% of the change in predicted AL, while the K mean contributed ≤1.2%. Conclusion Cycloplegic refraction significantly enhanced both accuracy and repeatability of AL prediction models in children. Models by Morgan et al., Queirós et al. and Lingham et al. performed best. Predictive models may be a valuable substitute in settings without access to optical biometers, provided cycloplegic measurements are used when possible.

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Publication Details

Journal
Ophthalmic and Physiological Optics
Published
2026-05-18
DOI
https://doi.org/10.1007/s44402-026-00095-3
Primary Topic
Ophthalmology and Visual Impairment Studies
Type
article
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article

Influence of Cycloplegia on Axial Length Prediction Models in a Paediatric Sample

Ivo Soares, Oscar Torrado, António Baptista, Pedro Serra
Ophthalmic and Physiological Optics
Ophthalmology and Visual Impairment Studies
article

Influence of Cycloplegia on Axial Length Prediction Models in a Paediatric Sample

Ivo Soares, Oscar Torrado, António Baptista, Pedro Serra
article en

Abstract

Abstract Clinical Relevance Accurate axial length (AL) estimation is vital for monitoring myopia progression in children, especially in primary care where optical biometers are often unavailable. Prediction models with cycloplegic measurements may offer a reliable alternative. Purpose To assess the effect of cycloplegia on the accuracy and repeatability of several AL prediction models in a paediatric sample and to identify which models maintain minimal bias under both cycloplegic and non-cycloplegic conditions. Methods Ninety-six children (mean age 12.5 ± 2.4 years) underwent repeated measurements of spherical equivalent refraction (SER), anterior corneal curvature ( K mean ) and AL, pre- and post-cycloplegia, using the Myopia Master. Seven published prediction models incorporating SER, K mean , age and sex were evaluated. Agreement, bias, limits of agreement (LoA), coefficient of repeatability (CoR), intraclass correlation coefficient (ICC) and regression analyses were used to assess performance and repeatability. Results Cycloplegia induced a hyperopic shift (mean +0.79 D), most pronounced in emmetropic and hyperopic eyes. Measured AL and all models showed improved repeatability post-cycloplegia (measured AL CoR decreased from ~0.14 mm to ~0.09 mm; ICC > 0.99). Pre-cycloplegia, models overestimated AL (mean differences from –0.87 to –0.24 mm); these biases were reduced post-cycloplegia (mean differences from –0.56 to +0.10 mm). Models by Morgan et al., Queirós et al. and Lingham had the smallest bias (<0.10 mm) and narrowest LoA (<0.84 mm). Variation in SER accounted for ~97–99% of the change in predicted AL, while the K mean contributed ≤1.2%. Conclusion Cycloplegic refraction significantly enhanced both accuracy and repeatability of AL prediction models in children. Models by Morgan et al., Queirós et al. and Lingham et al. performed best. Predictive models may be a valuable substitute in settings without access to optical biometers, provided cycloplegic measurements are used when possible.

Ophthalmic and Physiological Optics
University of Beira Interior (PT), University of Minho (PT)
Openalex Percentile: Top 5%
Ophthalmology and Visual Impairment Studies
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