Literature DB >> 27938956

Improvement of the visual field index in clinical glaucoma care.

Shawn L Cohen1, Aaron I Rosen2, Xianming Tan3, Frederick A A Kingdom2.   

Abstract

OBJECTIVE: This article investigates the prevalence and attributes of patients with open-angle glaucoma who exhibit improvement of visual field loss in a clinical setting.
DESIGN: We conducted a retrospective chart review of patients in a clinical glaucoma practice. PARTICIPANTS: We identified 719 glaucoma patients with at least 5 SITA strategy visual field tests and a minimum continuous follow-up period of 5 years.
METHODS: The change in the slope of the visual field index (VFI) over time was illustrated using histogram analysis for the study eye with the worst VFI at baseline. Multiple variables were analyzed to determine their impact on rates of visual field progression, including sex, age, disease staging, intraocular pressure (IOP), and incisional surgeries. Eyes with severe nonophthalmic and ophthalmic comorbidities were excluded.
RESULTS: Considering 582 eligible eyes, 232 (39.9%) showed significantly positive slopes of the VFI as a function of time, 76 (13.1%) showed nonsignificant slopes, and 276 (47.4%) showed significantly negative slopes. In all, 10 eyes (1.7%) demonstrated VFI slope improvement of ≥2% per year, whereas 21 (3.6%) demonstrated VFI slope reduction ≥2% per year. More advanced disease stage was significantly associated with a negative VFI slope (p < 0.0001). Trabeculectomy and poor compliance were not associated with a negative VFI slope, whereas cataract surgery correlated with higher odds of a negative VFI slope (p = 0.048).
CONCLUSIONS: In a clinical setting, a significant VFI improvement over time was observed over an interval of greater than 5 years.
Copyright © 2016 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27938956     DOI: 10.1016/j.jcjo.2016.10.001

Source DB:  PubMed          Journal:  Can J Ophthalmol        ISSN: 0008-4182            Impact factor:   1.882


  3 in total

1.  Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data.

Authors:  Avyuk Dixit; Jithin Yohannan; Michael V Boland
Journal:  Ophthalmology       Date:  2020-12-25       Impact factor: 14.277

2.  Incidence and Outcome of Uveitic Glaucoma in Eyes With Intermediate, Posterior, or Panuveitis Followed up to 10 Years After Randomization to Fluocinolone Acetonide Implant or Systemic Therapy.

Authors:  John H Kempen; Mark L Van Natta; David S Friedman; Michael M Altaweel; Husam Ansari; James P Dunn; Susan G Elner; Janet T Holbrook; Lyndell L Lim; Elizabeth A Sugar; Douglas A Jabs
Journal:  Am J Ophthalmol       Date:  2020-07-03       Impact factor: 5.488

3.  A Method to Measure the Rate of Glaucomatous Visual Field Change.

Authors:  Joseph Caprioli; Lilian Mohamed; Esteban Morales; Alessandro Rabiolo; Nathaniel Sears; Hirunpatravong Pradtana; Reza Alizadeh; Fei Yu; Abdelmonem A Afifi; Anne L Coleman; Kouros Nouri-Mahdavi
Journal:  Transl Vis Sci Technol       Date:  2018-11-30       Impact factor: 3.283

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.