Introductions: This study aimed to analyze the correlation between refractive status and ocular biological parameters in preschool-age children (3-6 years old), establish a regression curve, guide the clinical judgment of children's refractive status, and improve the accuracy of refractive screening for this age group.
Methods: A total of 508 children, aged 3-6 years, were admitted to the hospital, exhibiting symptoms of ametropia and a need for dilation optometry. Among these, 326 children were included in the statistics group, having been examined between August 2021 and October 2022, and 182 children were included in the validation group, having been examined between November 2022 and March 2023. Using IOL Master700, ocular biometry parameters were measured for all participants, including axial length (AL), keratometry readings (K1 and K2), anterior chamber depth (ACD), lens thickness (LT), and central corneal thickness (CCT). One percent atropine sulfate eye gel was administered, and then the spherical equivalent (SE) was calculated by Bennett's formula. The correlation between SE and other ocular biometrics was analyzed, followed by the establishment of an SE prediction equation. The SE prediction equation was used to calculate the spherical equivalent (SE#) using ocular biometry data from the validation group, and the consistency between SE and SE# was evaluated.
Results: SE showed a negative correlation with AL/CR (r = -0.936), AL (r = -0.811), ACD (r = -0.500), age (r = -0.396), and Km (r = -0.213) (p < 0.001), and positive correlation with LT (r = 0.301), LP (r = 0.176) (p < 0.001). A multiple linear regression equation was established for SE using the stepwise selection method, SE = 49.232 - 23.583 × AL/CR + 1.703 × ACD + 0.589 × Km - 0.609 × LP + 1.103 × LT (R2 = 0.997). Based on the regression equation, the predicted SE# highly correlated with SE after cycloplegia in the validation group (r = 0.998, p < 0.001).
Conclusion: The main ocular biological factors of ocular diopter in children aged 3-6 years are AL/CR, ACD, Km, LP, and LT, which are jointly influenced by multiple factors. Ocular biometry is a reliable predictor of real refraction among children aged 3-6.
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http://dx.doi.org/10.1159/000533782 | DOI Listing |
BMC Ophthalmol
January 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, China.
Purpose: To evaluate the predictive accuracy of 11 intraocular lens (IOL) calculation formulas in eyes with an axial length (AL) less than 22.00 mm.
Methods: New-generation formulas (Barrett Universal II [BUII], Emmetropia Verifying Optical [EVO] 2.
BMJ Open
December 2024
Department of Ophthalmology & Clinical Centre of Optometry, Peking University People's Hospital, Beijing, China.
Objectives: To examine the ocular biometric parameters and predict the annual growth rate of the physiological axial length (AL) in Chinese preschool children aged 4-6 years old.
Methods: This retrospective cross-sectional study included 1090 kindergarten students (1090 right eyes) between the ages of 4 and 6 years from Pinggu and Chaoyang District, Beijing. Dioptre values were ascertained following cycloplegic autorefraction.
Eye (Lond)
January 2025
Poostchi Ophthalmology Research Center, Department of Ophthalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Objective: The study aimed to evaluate the interocular symmetry of macular sublayer thickness among healthy children aged 6-12 years.
Methods: The Shiraz Pediatric Eye Study included 500 randomly selected children who underwent SD-OCT of the macula and optical biometry using the IOLMaster-500. Exclusion criteria involved ocular abnormalities or axial lengths outside the 21.
J Refract Surg
January 2025
Purpose: To apply a new method, the Taylor Diagram, and a new concept, the centered root mean square error (cRMSE), in evaluating the performance of IOL formulas.
Methods: The preoperative biometrics were measured with the IOLMaster 700 (Carl Zeiss Meditec) and the postoperative spherical equivalent refraction (SER) was calculated in 888 anonymous patients. The Taylor Diagram was applied to visualize the centered root mean square error (cRMSE) and the correlation coefficient between the predictions and the observations (R).
J Optom
January 2025
Department of Ophthalmology, Antwerp University Hospital, Edegem, Belgium; Visual Optics Lab Antwerp (VOLANTIS), Faculty of Medicine and Health Sciences, Antwerp University, Wilrijk, Belgium. Electronic address:
Background: The maximum accommodative range is a useful indication of visual function. It decreases with age, but the exact cause of this decrease is not fully understood. It is associated with the increasing rigidity of the lens and changes to the lens shape, as well as the geometry of the zonular attachments.
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