Open AccessA novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients
Author(s) -
Ryo Asaoka,
Yuri Fujino,
Hiroshi Murata,
Atsuya Miki,
Masaki Tanito,
Shiro Mizoue,
Kazuhiko Mori,
Katsuyoshi Suzuki,
Takehiro Yamashita,
Kenji Kashiwagi,
Nobuyuki Shoji
Publication year - 2016
Publication title -
scientific reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 213
ISSN - 2045-2322
DOI - 10.1038/srep31728
Subject(s) - glaucoma , intraocular pressure , visual field , linear regression , ophthalmology , medicine , standard deviation , absolute deviation , mean absolute error , regression analysis , standard error , mean squared prediction error , mathematics , mean squared error , statistics
Visual field (VF) data were retrospectively obtained from 491 eyes in 317 patients with open angle glaucoma who had undergone ten VF tests (Humphrey Field Analyzer, 24-2, SITA standard). First, mean of total deviation values (mTD) in the tenth VF was predicted using standard linear regression of the first five VFs (VF 1-5 ) through to using all nine preceding VFs (VF 1-9 ). Then an ‘intraocular pressure (IOP)-integrated VF trend analysis’ was carried out by simply using time multiplied by IOP as the independent term in the linear regression model. Prediction errors (absolute prediction error or root mean squared error: RMSE) for predicting mTD and also point wise TD values of the tenth VF were obtained from both approaches. The mTD absolute prediction errors associated with the IOP-integrated VF trend analysis were significantly smaller than those from the standard trend analysis when VF 1-6 through to VF 1-8 were used (p < 0.05). The point wise RMSEs from the IOP-integrated trend analysis were significantly smaller than those from the standard trend analysis when VF 1-5 through to VF 1-9 were used (p < 0.05). This was especially the case when IOP was measured more frequently. Thus a significantly more accurate prediction of VF progression is possible using a simple trend analysis that incorporates IOP measurements.