Analysis of visual prediction in cataract with high myopia

AIM:To analyze the accuracy and the influencing factors of LAMBDA100 retinometer in predicting the visual acuity of cataract patients with high axial myopia after phacoemulsification.<p>METHODS: The retinal visual acuity was measured in 91 patients with 91 cataract eyes by LAMBDA100, and compa...

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Bibliographic Details
Main Authors: Kai Gong, Yun Xie, Yuan Yuan, Wei Wang
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2017-06-01
Series:Guoji Yanke Zazhi
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Online Access:http://ies.ijo.cn/cn_publish/2017/6/201706023.pdf
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Summary:AIM:To analyze the accuracy and the influencing factors of LAMBDA100 retinometer in predicting the visual acuity of cataract patients with high axial myopia after phacoemulsification.<p>METHODS: The retinal visual acuity was measured in 91 patients with 91 cataract eyes by LAMBDA100, and compared with the best corrected visual acuity 2wk after operations. If differences of predictive visual acuity and postoperative visual acuity between the two logarithmic visual acuity chart was within 2 lines, it was considered consistent.<p>RESULTS: The total compliance rate was 62%, the false positive rate was 2%,the false negative rate was 36%. The predictive accuracy was affected by lens opacity, the deeper opacity, the lower accuracy. The predictive accuracy of eye with axial length ≥32mm was significantly lower than that of eye with axial length <32mm, the difference was statistically significant(<i>P</i><0.05). The predictive accuracy rate of group that preoperative best corrected visual acuity was ≥4.0 was 75%; the predictive accuracy rate of group that preoperative best corrected visual acuity was <4.0 was 49%, the difference was statistically significant(<i>P</i><0.05). <p>CONCLUSION: LAMBDA100 can be used as an assistant tool for predicting postoperative visual acuity in immature stage cataract of patients with high myopia. The eye axial length, the degree of visual acuity and lens opacity can influence the predicting accuracy.
ISSN:1672-5123
1672-5123