Baseline metrics that may predict future myopia in young children.
Baseline metrics that may predict future myopia in young children.
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DOI：
10.1111/opo.13113
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发表时间：
2023-05
影响因子：
2.9
通讯作者：
Kerber, Kristen L.
中科院分区：
文献类型：
--
作者：
Vera-Diaz, Fuensanta A.;Jnawali, Ashutosh;Panorgias, Athanasios;Bex, Peter J.;Kerber, Kristen L.
我们使用PICNIC纵向研究的基线数据来调查可能预测幼儿未来近视的结构、功能、行为和遗传指标。对97例功能性正视儿童进行了散瞳屈光不正（M）和光学生物测量。根据父母近视程度和M.其他指标包括眼轴长度（AXL）、眼轴长度/角膜半径（AXL/CR）和屈光百分位数曲线。根据PICNIC标准，46名儿童（26名女性）被归类为HR（M = +0.62 ± 0.44 D，AXL = 22.80 ± 0.64 mm），51名儿童（27名女性）被归类为LR（M = +1.26 ± 0.44 D，AXL = 22.77 ± 0.77 mm）。基于百分位数，49名儿童为HR，与PICNIC分类相比具有中等一致性（k = 0.65，p < 0.01）。以年龄作为协变量的ANCOVA显示对AXL有显著影响（p < 0.01），HR时AXL较长，前房深度（ACD）较深（p = 0.01）（差异AXL = 0.16 mm，ACD = 0.13 mm）。线性回归模型显示中央角膜厚度（CCT）、ACD、后玻璃体深度（PVD）（=AXL - CCT -ACD-晶状体厚度（LT））、角膜半径（CR）和年龄显著预测M（R = 0.64，p < 0.01）。远视每减少1.00 D，PVD延长0.97 mm，CR增加0.43 mm。AXL/CR比值显著预测M（R =-0.45，p < 0.01），AXL（R =-0.25，p = 0.01）也是如此，尽管程度较低。虽然M和AXL高度相关，但使用每个参数时，近视前儿童的HR或LR分类显著不同，AXL/CR是最具预测性的指标。在纵向研究结束时，我们将能够评估每个指标的可预测性。
We used baseline data from the PICNIC longitudinal study to investigate structural, functional, behavioural and heritable metrics that may predict future myopia in young children. Cycloplegic refractive error (M) and optical biometry were obtained in 97 young children with functional emmetropia. Children were classified as high risk (HR) or low risk (LR) for myopia based on parental myopia and M. Other metrics included axial length (AXL), axial length/corneal radius (AXL/CR) and refractive centile curves. Based on the PICNIC criteria, 46 children (26 female) were classified as HR (M = +0.62 ± 0.44 D, AXL = 22.80 ± 0.64 mm) and 51 (27 female) as LR (M = +1.26 ± 0.44 D, AXL = 22.77 ± 0.77 mm). Based on centiles, 49 children were HR, with moderate agreement compared with the PICNIC classification (k = 0.65, p < 0.01). ANCOVA with age as a covariate showed a significant effect for AXL (p < 0.01), with longer AXL and deeper anterior chamber depth (ACD) (p = 0.01) in those at HR (differences AXL = 0.16 mm, ACD = 0.13 mm). Linear regression models showed that central corneal thickness (CCT), ACD, posterior vitreous depth (PVD) (=AXL – CCT – ACD-lens thickness (LT)), corneal radius (CR) and age significantly predicted M (R = 0.64, p < 0.01). Each 1.00 D decrease in hyperopia was associated with a 0.97 mm elongation in PVD and 0.43 mm increase in CR. The ratio AXL/CR significantly predicted M (R = −0.45, p < 0.01), as did AXL (R = −0.25, p = 0.01), although to a lesser extent. Although M and AXL were highly correlated, the classification of pre-myopic children into HR or LR was significantly different when using each parameter, with AXL/CR being the most predictive metric. At the end of the longitudinal study, we will be able to assess the predictability of each metric.
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