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眼生物测量和未矫正视力在检测中国学生近视中的应用。

Ocular biometrics and uncorrected visual acuity for detecting myopia in Chinese school students.

机构信息

Weill Cornell Medicine, New York, NY, USA.

National School of Development, Peking University, Beijing, People's Republic of China.

出版信息

Sci Rep. 2022 Nov 4;12(1):18644. doi: 10.1038/s41598-022-23409-0.

DOI:10.1038/s41598-022-23409-0
PMID:36333404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9636232/
Abstract

The study is to evaluate the performance of ocular biometric measures and uncorrected visual acuity (UCVA) for detecting myopia among Chinese students. Among 5- to 18-year-old Chinese students from two cities of China, trained eye-care professionals performed assessment of ocular biometrics (axial length (AL), corneal curvature radius (CR), anterior chamber depth) under noncycloplegic conditions using NIDEK Optical Biometer AL-Scan, distance visual acuity using retro-illuminated logMAR chart with tumbling-E optotypes, and cycloplegic refractive error using NIDEK autorefractor with administration of 0.5% tropicamide. Spherical equivalent (SER) in diopters (D) was calculated as sphere plus half cylinder, and myopia was defined as SER ≤ - 0.5 D. Performances of ocular biometrics and UCVA (individually and in combination) for detecting myopia were evaluated using sensitivity and specificity, predictive values, and area under ROC curve (AUC) in both development dataset and validation dataset. Among 3436 students (mean age 9.7 years, 51% female), the mean (SD) cycloplegic SER was - 0.20 (2.18) D, and 1269 (36.9%) had myopia. Cycloplegic SER was significantly correlated with AL (Pearson Correlation coefficient r = - 0.82), AL/CR ratio (r = - 0.90), and UCVA (r = 0.79), but was not correlated with CR (r = 0.02, p = 0.15). The AL/CR ratio detected myopia with AUC 0.963 (95% CI 0.957-0.969) and combination with UCVA improved the AUC to 0.976 (95% CI 0.971-0.981). Using age-specific AL/CR cutoff (> 3.00 for age < 10 years, > 3.06 for 10-14 years, > 3.08 for ≥ 15 years) as myopia positive, the sensitivity and specificity were 87.0% (95% CI 84.4-89.6%) and 87.8% (86.0-89.6%), respectively, in the development dataset and 86.4% (95% CI 83.7-89.1%) and 89.4% (95% CI 87.3-91.4%), respectively, in the validation dataset. Combining AL/CR and UCVA (worse than 20/32 for age < 10 years, and 20/25 for ≥ 10 years) provided 91.9% (95% CI 90.4-93.4%) sensitivity and 87.0% (95% CI 85.6-88.4%) specificity, positive value of 80.6% (95% CI 78.5-82.6%) and negative value of 94.8% (95% CI 93.8-95.8%). These results suggest that AL/CR ratio is highly correlated with cycloplegic refractive error and detects myopia with high sensitivity and specificity,  AL/CR ratio alone or in combination with UCVA can be used as a tool for myopia screening or for estimating myopia prevalence in large epidemiological studies with limited resources for cycloplegic refraction.

摘要

本研究旨在评估眼生物测量学指标和未矫正视力(UCVA)在中国学生近视检测中的表现。在来自中国两个城市的 5 至 18 岁的中国学生中,经过培训的眼科保健专业人员使用尼德克光学生物测量仪 AL-Scan 在非睫状肌麻痹条件下评估眼生物测量学(眼轴长度(AL)、角膜曲率半径(CR)、前房深度),使用具有翻转 E 视标 的 retro-illuminated logMAR 图表评估远距离视力,并用 0.5%托品酰胺 administration 的尼德克自动折射仪评估睫状肌麻痹屈光不正。屈光度(D)中的球镜等效(SER)计算为球镜加半圆柱,近视定义为 SER≤-0.5 D。使用敏感性和特异性、预测值和 ROC 曲线下面积(AUC)在开发数据集和验证数据集中评估眼生物测量学和 UCVA(单独和组合)在近视检测中的性能。在 3436 名学生(平均年龄 9.7 岁,51%为女性)中,平均(SD)睫状肌麻痹 SER 为-0.20(2.18)D,1269 名(36.9%)患有近视。睫状肌麻痹 SER 与 AL(Pearson 相关系数 r=-0.82)、AL/CR 比值(r=-0.90)和 UCVA(r=0.79)显著相关,但与 CR 不相关(r=0.02,p=0.15)。AL/CR 比值检测近视的 AUC 为 0.963(95%CI 0.957-0.969),与 UCVA 联合使用可将 AUC 提高至 0.976(95%CI 0.971-0.981)。使用年龄特异性 AL/CR 截断值(<10 岁时>3.00、10-14 岁时>3.06、≥15 岁时>3.08)作为近视阳性,在开发数据集的敏感性和特异性分别为 87.0%(95%CI 84.4-89.6%)和 87.8%(86.0-89.6%),在验证数据集中分别为 86.4%(95%CI 83.7-89.1%)和 89.4%(95%CI 87.3-91.4%)。将 AL/CR 和 UCVA(<10 岁时<20/32,≥10 岁时<20/25)结合使用,可提供 91.9%(95%CI 90.4-93.4%)的敏感性和 87.0%(95%CI 85.6-88.4%)的特异性、阳性值 80.6%(95%CI 78.5-82.6%)和阴性值 94.8%(95%CI 93.8-95.8%)。这些结果表明,AL/CR 比值与睫状肌麻痹屈光不正高度相关,具有较高的敏感性和特异性,可用于近视筛查或在资源有限的情况下估计大规模流行病学研究中的近视患病率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d8e/9636232/d865c352ad48/41598_2022_23409_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d8e/9636232/25c6de9d7575/41598_2022_23409_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d8e/9636232/81636b2d3931/41598_2022_23409_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d8e/9636232/d865c352ad48/41598_2022_23409_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d8e/9636232/25c6de9d7575/41598_2022_23409_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d8e/9636232/81636b2d3931/41598_2022_23409_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d8e/9636232/d865c352ad48/41598_2022_23409_Fig3_HTML.jpg

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