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眼底屈光偏移作为一种个性化近视生物标志物。

Fundus Refraction Offset as an Individualized Myopia Biomarker.

作者信息

Yii Fabian, MacCormick Ian J C, Strang Niall, Bernabeu Miguel O, MacGillivray Tom

机构信息

Robert O. Curle Ophthalmology Suite, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, United Kingdom.

Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, United Kingdom.

出版信息

JAMA Ophthalmol. 2025 Jun 5. doi: 10.1001/jamaophthalmol.2025.1513.

Abstract

IMPORTANCE

As on-axis metrics, spherical equivalent refraction (SER) and axial length (AL) are limited in capturing individual-level differences in posterior segment anatomy.

OBJECTIVE

To propose a fundus-level metric-fundus refraction offset (FRO)-and investigate its association with ocular parameters derived from optical coherence tomography (OCT).

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional, population-based study used data from 45 180 healthy eyes in the UK Biobank (2009-2010). Fundus photographs from a random subset (70%) were used to train a deep learning model to predict SER, with the goal of developing a model that learned to capture the nonpathological variations in fundus appearance from -15.50 D to 9.25 D. The trained model was applied to the remaining subset (internal unseen set) to derive FRO for each eye. FRO was also computed for an external dataset (the Caledonian cohort, 2023-2024) with enhanced depth imaging OCT and AL data for 152 right eyes. Data were analyzed from July to November 2024.

EXPOSURE

FRO, defined as the error in fundus-predicted SER. A more negative FRO indicated a more myopic-looking fundus than typical for an eye with the same SER.

MAIN OUTCOMES AND MEASURES

The association between FRO and macular thickness (MT) was tested using linear mixed-effects regression in the internal unseen set, controlling for SER, age, sex, and race. In the external dataset, the associations of FRO with choroidal area, choroidal vascularity index (CVI), and MT were examined using linear fixed-effects regression, controlling for SER (and subsequently AL) and other aforementioned covariates.

RESULTS

High-quality OCT data were available from 9524 eyes in the internal unseen set and 152 eyes in the external dataset among individuals with a mean (SD) age of 54.5 (8.2) years and 19.3 (3.8) years, respectively. In the internal unseen set, a more negative FRO was independently associated with lower MT (β, 0.64; 95% CI, 0.37-0.90; P < .001). A similar association was observed in the external dataset-whether adjusted for SER (β, 2.45; 95% CI, 0.64-4.26; P = .008) or AL (β, 2.09; 95% CI, 0.28-3.91; P = .02). Additionally, CVI decreased as FRO became more negative-both in the SER-adjusted (β, 0.01; 95% CI, 0.01-0.02; P < .001) and AL-adjusted (β, 0.01, 95% CI, 0.004-0.02; P = .001) analyses.

CONCLUSION AND RELEVANCE

In this study, FRO reflected the individual-level mismatch between SER (or AL) and the anatomical severity of ametropia. This may have prognostic relevance for personalized risk prediction of myopia and its complications.

摘要

重要性

作为眼轴指标,等效球镜度(SER)和眼轴长度(AL)在捕捉后段解剖结构的个体差异方面存在局限性。

目的

提出一种眼底水平指标——眼底屈光偏移(FRO),并研究其与光学相干断层扫描(OCT)得出的眼部参数之间的关联。

设计、设置和参与者:这项基于人群的横断面研究使用了英国生物银行(2009 - 2010年)中45180只健康眼睛的数据。来自随机子集(70%)的眼底照片用于训练深度学习模型以预测SER,目标是开发一个学会捕捉眼底外观从-15.50 D到9.25 D非病理性变化的模型。将训练好的模型应用于其余子集(内部未见过的数据集)以得出每只眼睛的FRO。还为一个外部数据集(2023 - 2024年的喀里多尼亚队列)计算了FRO,该数据集有152只右眼的增强深度成像OCT和AL数据。数据于2024年7月至11月进行分析。

暴露因素

FRO,定义为眼底预测SER中的误差。FRO越负表明眼底看起来比具有相同SER的眼睛更近视。

主要结局和测量指标

在内部未见过的数据集中,使用线性混合效应回归检验FRO与黄斑厚度(MT)之间的关联,控制SER、年龄、性别和种族。在外部数据集中,使用线性固定效应回归检验FRO与脉络膜面积、脉络膜血管指数(CVI)和MT之间的关联,控制SER(以及随后的AL)和其他上述协变量。

结果

在内部未见过的数据集中,9524只眼睛以及外部数据集中152只眼睛可获得高质量的OCT数据,个体的平均(标准差)年龄分别为54.5(8.2)岁和19.3(3.8)岁。在内部未见过的数据集中,FRO越负与较低的MT独立相关(β,0.64;95%置信区间,0.37 - 0.90;P <.001)。在外部数据集中观察到类似的关联——无论是调整SER(β,2.45;95%置信区间,0.64 - 4.26;P = 0.008)还是AL(β,2.09;95%置信区间,0.28 - 3.91;P = 0.02)。此外,在调整SER(β,0.01;95%置信区间,0.01 - 0.02;P <.001)和调整AL(β,0.01,95%置信区间,0.004 - 0.02;P = 0.001)的分析中,随着FRO变得更负,CVI降低。

结论和相关性

在本研究中,FRO反映了SER(或AL)与屈光不正解剖严重程度之间的个体水平不匹配。这可能对近视及其并发症的个性化风险预测具有预后相关性。

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