Rozema Jos J, Emamian Mohammad Hassan, Hashemi Hassan, Fotouhi Akbar
Visual Optics Lab Antwerp (VOLANTIS), Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium.
Department of Ophthalmology, Antwerp University Hospital, Edegem, Belgium.
Ophthalmic Physiol Opt. 2025 Jun;45(4):1004-1024. doi: 10.1111/opo.13516.
The purpose of this study was to investigate biometric variations in emmetropia and ametropia, focusing on the differences and correlations found in adult eyes. Bigaussian analyses were performed to characterise the biometric properties of the Regulated (or Emmetropised) and Dysregulated subpopulations identified in earlier works.
This work analyses the biometric and refractive error data of 2000 adult participants previously recruited during the first phase of the Shahroud Eye Cohort Study (Iran). Measurements included cycloplegic subjective refractive error, corneal radii of curvature and intraocular distances. The study employed multivariate bigaussian fits and statistical analyses to explore the relationships between ocular biometry parameters.
Significant correlations were found between ocular dimensions, suggesting the existence of ocular shape factors. Meanwhile, there was a large overlap in biometric values across refractive groups, especially within ±3 D. The 979 emmetropic eyes, defined as having a refractive error exceeding ±0.5 D, had axial lengths ranging between 20.86 and 25.62 mm, with matching corneal and lens powers that together ensured emmetropia. The distribution of both the refractive errors and the ocular biometry parameters was leptokurtic and skewed, and could be described accurately by a bigaussian function, representing the Regulated and Dysregulated subpopulations. Regulated eyes had well-matched biometric parameters, while in Dysregulated eyes one or more deviations were seen.
The terms refractive and axial ametropia are inadequate given the many interactions between ocular dimensions during eye growth, while emmetropisation is largely determined by the ability of the crystalline lens to lose power as the eye grows. 'Regulated' and 'Dysregulated' eyes are suitable alternatives, distinguished based on their relative biometry within a population. While the biometry of each eye is unique, large overlaps exist in the values of different refractive groups. These observations underscore the importance of using comprehensive rather than partial biometric data when studying or managing refractive errors.
本研究旨在调查正视眼和屈光不正眼中的生物特征差异,重点关注成年眼睛中的差异和相关性。进行双高斯分析以表征在早期研究中确定的调节(或正视化)和失调亚群的生物特征特性。
本研究分析了先前在沙赫鲁德眼病队列研究(伊朗)第一阶段招募的2000名成年参与者的生物特征和屈光不正数据。测量包括睫状肌麻痹主观屈光不正、角膜曲率半径和眼内距离。该研究采用多元双高斯拟合和统计分析来探索眼生物测量参数之间的关系。
发现眼尺寸之间存在显著相关性,表明存在眼形状因素。同时,屈光组之间的生物特征值存在很大重叠,尤其是在±3D范围内。979只正视眼定义为屈光不正超过±0.5D,眼轴长度在20.86至25.62mm之间,角膜和晶状体屈光力相匹配,共同确保正视。屈光不正和眼生物测量参数的分布均为尖峰态且有偏斜,并且可以通过双高斯函数准确描述,该函数代表调节和失调亚群。调节良好的眼睛具有匹配良好的生物测量参数,而失调的眼睛则出现一个或多个偏差。
鉴于眼睛生长过程中眼尺寸之间存在许多相互作用,屈光性和轴性屈光不正这两个术语并不充分,而正视化很大程度上取决于晶状体随着眼睛生长而降低屈光力的能力。“调节”和“失调”眼是合适的替代术语,根据它们在人群中的相对生物测量来区分。虽然每只眼睛的生物测量是独特的,但不同屈光组的值存在很大重叠。这些观察结果强调了在研究或管理屈光不正时使用全面而非部分生物特征数据的重要性。