Department of Ophthalmology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
National School of Development, Peking University, Beijing, People's Republic of China.
Transl Vis Sci Technol. 2022 Jan 3;11(1):15. doi: 10.1167/tvst.11.1.15.
To predict cycloplegic refractive error using measurements obtained under noncycloplegic conditions.
Refractive error was measured in 5- to 18-year-old Chinese students using a NIDEK autorefractor before and after administration of 0.5% tropicamide. Spherical equivalent (SER) in diopters (D) was calculated as sphere plus half cylinder. A multivariable prediction model for cycloplegic SER was developed using data from students in Jinyun (n = 1938) and was validated using data from students in Hangzhou (n = 1498). The performance of the prediction model was evaluated using R2, mean difference between predicted and measured cycloplegic SER, and sensitivity and specificity for predicting myopia (cycloplegic SER ≤ -0.5 D).
Among 3436 students (mean age, 9.7 years; 51% female), the mean (SD) noncycloplegic and cycloplegic SER values were -1.12 (1.97) D and -0.20 (2.19) D, respectively. The prediction model that included demographics, noncycloplegic SER, axial length/corneal curvature radius ratio, uncorrected visual acuity (UCVA), and intraocular pressure predicted cycloplegic SER with R2 of 0.93 in the development dataset and 0.92 in the validation dataset. The mean (SD) differences between predicted and measured cycloplegic SER were 0.0 (0.55) D in the development dataset and 0.06 (0.64) D in the validation dataset. In both the development and validation datasets, the combination of predicted SER and UCVA yielded high sensitivity (91.4% and 91.9%, respectively) and specificity (95.0% and 90.1%, respectively) for detecting myopia.
Cycloplegic refractive error can be predicted using measurements obtained under noncycloplegic conditions. The prediction model could potentially be used to correct the myopia prevalence in epidemiological studies in which administering cycloplegic agent on all participants is not feasible.
The prediction model may provide a tool for correcting the overestimation of myopia from noncycloplegic refractive error in future epidemiological studies in which administering cycloplegic agent on all participants is not feasible.
利用非睫状肌麻痹状态下的测量值预测睫状肌麻痹状态下的屈光不正。
使用 NIDEK 自动折射仪对 5 至 18 岁的中国学生在滴用 0.5%托吡卡胺前后进行屈光测量。球镜等效(SER)以屈光度(D)表示,为球镜加半圆柱镜。使用来自缙云(n=1938)学生的数据建立睫状肌麻痹 SER 的多变量预测模型,并使用来自杭州(n=1498)学生的数据进行验证。使用 R2、预测与测量的睫状肌麻痹 SER 之间的平均差值以及预测近视(睫状肌麻痹 SER≤-0.5 D)的敏感性和特异性来评估预测模型的性能。
在 3436 名学生(平均年龄 9.7 岁;51%为女性)中,非睫状肌麻痹和睫状肌麻痹 SER 值的平均值(标准差)分别为-1.12(1.97)D 和-0.20(2.19)D。包括人口统计学、非睫状肌麻痹 SER、眼轴/角膜曲率半径比、未矫正视力(UCVA)和眼内压的预测模型在开发数据集和验证数据集中的 R2 分别为 0.93 和 0.92。在开发数据集和验证数据集中,预测与测量的睫状肌麻痹 SER 之间的平均差值分别为 0.0(0.55)D 和 0.06(0.64)D。在开发数据集和验证数据集中,预测 SER 和 UCVA 的组合对检测近视的敏感性(分别为 91.4%和 91.9%)和特异性(分别为 95.0%和 90.1%)均较高。
可以使用非睫状肌麻痹状态下的测量值预测睫状肌麻痹状态下的屈光不正。该预测模型可能有助于在所有参与者都不能使用睫状肌麻痹剂的情况下,对流行病学研究中的近视患病率进行校正。
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