Literature DB >> 27127924

Evaluation of Glaucoma Progression in Large-Scale Clinical Data: The Japanese Archive of Multicentral Databases in Glaucoma (JAMDIG).

Yuri Fujino1, Ryo Asaoka1, Hiroshi Murata1, Atsuya Miki2, Masaki Tanito3, Shiro Mizoue4, Kazuhiko Mori5, Katsuyoshi Suzuki6, Takehiro Yamashita7, Kenji Kashiwagi8, Nobuyuki Shoji9.   

Abstract

PURPOSE: To develop a large-scale real clinical database of glaucoma (Japanese Archive of Multicentral Databases in Glaucoma: JAMDIG) and to investigate the effect of treatment.
METHODS: The study included a total of 1348 eyes of 805 primary open-angle glaucoma patients with 10 visual fields (VFs) measured with 24-2 or 30-2 Humphrey Field Analyzer (HFA) and intraocular pressure (IOP) records in 10 institutes in Japan. Those with 10 reliable VFs were further identified (638 eyes of 417 patients). Mean total deviation (mTD) of the 52 test points in the 24-2 HFA VF was calculated, and the relationship between mTD progression rate and seven variables (age, mTD of baseline VF, average IOP, standard deviation (SD) of IOP, previous argon/selective laser trabeculoplasties (ALT/SLT), previous trabeculectomy, and previous trabeculotomy) was analyzed.
RESULTS: The mTD in the initial VF was -6.9 ± 6.2 dB and the mTD progression rate was -0.26 ± 0.46 dB/year. Mean IOP during the follow-up period was 13.5 ± 2.2 mm Hg. Age and SD of IOP were related to mTD progression rate. However, in eyes with average IOP below 15 and also 13 mm Hg, only age and baseline VF mTD were related to mTD progression rate.
CONCLUSIONS: Age and the degree of VF damage were related to future progression. Average IOP was not related to the progression rate; however, fluctuation of IOP was associated with faster progression, although this was not the case when average IOP was below 15 mm Hg.

Entities:  

Mesh:

Year:  2016        PMID: 27127924     DOI: 10.1167/iovs.15-19046

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  21 in total

1.  Cost-Utility Analysis of Glaucoma Medication Adherence.

Authors:  Paula Anne Newman-Casey; Mariam Salman; Paul P Lee; Justin D Gatwood
Journal:  Ophthalmology       Date:  2019-10-10       Impact factor: 12.079

2.  Improving the Feasibility of Glaucoma Clinical Trials Using Trend-Based Visual Field Progression Endpoints.

Authors:  Zhichao Wu; David P Crabb; Balwantray C Chauhan; Jonathan G Crowston; Felipe A Medeiros
Journal:  Ophthalmol Glaucoma       Date:  2019-01-17

Review 3.  Biomechanics of the sclera and effects on intraocular pressure.

Authors:  Xu Jia; Juan Yu; Sheng-Hui Liao; Xuan-Chu Duan
Journal:  Int J Ophthalmol       Date:  2016-12-18       Impact factor: 1.779

4.  Measuring Rates of Visual Field Progression in Linear Versus Nonlinear Scales: Implications for Understanding the Relationship Between Baseline Damage and Target Rates of Glaucoma Progression.

Authors:  Kevin Liebmann; Carlos Gustavo De Moraes; Jeffrey M Liebmann
Journal:  J Glaucoma       Date:  2017-08       Impact factor: 2.503

Review 5.  Functional assessment of glaucoma: Uncovering progression.

Authors:  Rongrong Hu; Lyne Racette; Kelly S Chen; Chris A Johnson
Journal:  Surv Ophthalmol       Date:  2020-04-26       Impact factor: 6.048

6.  Validating Variational Bayes Linear Regression Method With Multi-Central Datasets.

Authors:  Hiroshi Murata; Linda M Zangwill; Yuri Fujino; Masato Matsuura; Atsuya Miki; Kazunori Hirasawa; Masaki Tanito; Shiro Mizoue; Kazuhiko Mori; Katsuyoshi Suzuki; Takehiro Yamashita; Kenji Kashiwagi; Nobuyuki Shoji; Ryo Asaoka
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-04-01       Impact factor: 4.799

7.  Evaluating Visual Field Progression in Advanced Glaucoma Using Trend Analysis of Targeted Mean Total Deviation.

Authors:  Atsuya Miki; Tomoyuki Okazaki; Robert N Weinreb; Misa Morota; Aki Tanimura; Rumi Kawashima; Shinichi Usui; Kenji Matsushita; Kohji Nishida
Journal:  J Glaucoma       Date:  2022-04-01       Impact factor: 2.503

8.  Effect of body position on the pathogenesis of asymmetric primary open angle glaucoma.

Authors:  Jing Tang; Ni Li; Ying-Ping Deng; Le-Mei Qiu; Xiao-Ming Chen
Journal:  Int J Ophthalmol       Date:  2018-01-18       Impact factor: 1.779

9.  Biomechanical Glaucoma Factor and Corneal Hysteresis in Treated Primary Open-Angle Glaucoma and Their Associations With Visual Field Progression.

Authors:  Shuichiro Aoki; Atsuya Miki; Takashi Omoto; Yuri Fujino; Masato Matsuura; Hiroshi Murata; Ryo Asaoka
Journal:  Invest Ophthalmol Vis Sci       Date:  2021-06-01       Impact factor: 4.799

10.  Evaluation of a Primary Open-Angle Glaucoma Prediction Model Using Long-term Intraocular Pressure Variability Data: A Secondary Analysis of 2 Randomized Clinical Trials.

Authors:  Mae O Gordon; Feng Gao; Julia Beiser Huecker; J Philip Miller; Mathew Margolis; Michael A Kass; Stefano Miglior; Valter Torri
Journal:  JAMA Ophthalmol       Date:  2020-07-01       Impact factor: 8.253

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