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A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients
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...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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Nature Publishing Group
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999864/ https://www.ncbi.nlm.nih.gov/pubmed/27562553 http://dx.doi.org/10.1038/srep31728 |
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collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4999864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49998642016-09-07 A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients Sci Rep Article 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. Nature Publishing Group 2016-08-26 /pmc/articles/PMC4999864/ /pubmed/27562553 http://dx.doi.org/10.1038/srep31728 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients |
title | A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients |
title_full | A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients |
title_fullStr | A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients |
title_full_unstemmed | A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients |
title_short | A novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients |
title_sort | novel method to predict visual field progression more accurately, using intraocular pressure measurements in glaucoma patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999864/ https://www.ncbi.nlm.nih.gov/pubmed/27562553 http://dx.doi.org/10.1038/srep31728 |
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