Xinbo Zhang1, Anna Dastiridou2, Brian A Francis2, Ou Tan1, Rohit Varma3, David S Greenfield4, Joel S Schuman5, Mitra Sehi4, Vikas Chopra2, David Huang6. 1. Casey Eye Institute, Oregon Health & Science University, Portland, Oregon. 2. Doheny Eye Center and David Geffen School of Medicine at UCLA, Los Angeles, California. 3. Department of Ophthalmology, University of Southern California Keck School of Medicine, Los Angeles, California. 4. Bascom Palmer Eye Institute, University of Miami, Miami, Florida. 5. Department of Ophthalmology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. 6. Casey Eye Institute, Oregon Health & Science University, Portland, Oregon. Electronic address: davidhuang@alum.mit.edu.
Abstract
PURPOSE: To identify baseline structural parameters that predict the progression of visual field (VF) loss in patients with open-angle glaucoma. DESIGN: Multicenter cohort study. METHODS: Participants from the Advanced Imaging for Glaucoma (AIG) study were enrolled and followed up. VF progression is defined as either a confirmed progression event on Humphrey Progression Analysis or a significant (P < .05) negative slope for VF index (VFI). Fourier-domain optical coherence tomography (FDOCT) was used to measure optic disc, peripapillary retinal nerve fiber layer (NFL), and macular ganglion cell complex (GCC) thickness parameters. RESULTS: A total of 277 eyes of 188 participants were followed up for 3.7 ± 2.1 years. VF progression was observed in 83 eyes (30%). Several baseline NFL and GCC parameters, but not disc parameters, were found to be significant predictors of progression on univariate Cox regression analysis. The most accurate single predictors were the GCC focal loss volume (FLV), followed closely by NFL-FLV. An abnormal GCC-FLV at baseline increased risk of progression by a hazard ratio of 3.1. Multivariate Cox analysis showed that combining age and central corneal thickness with GCC-FLV in a composite index called "Glaucoma Composite Progression Index" (GCPI) further improved the accuracy of progression prediction. GCC-FLV and GCPI were both found to be significantly correlated with the annual rate of change in VFI. CONCLUSION: Focal GCC and NFL loss as measured by FDOCT are the strongest predictors for VF progression among the measurements considered. Older age and thinner central corneal thickness can enhance the predictive power using the composite risk model.
PURPOSE: To identify baseline structural parameters that predict the progression of visual field (VF) loss in patients with open-angle glaucoma. DESIGN: Multicenter cohort study. METHODS:Participants from the Advanced Imaging for Glaucoma (AIG) study were enrolled and followed up. VF progression is defined as either a confirmed progression event on Humphrey Progression Analysis or a significant (P < .05) negative slope for VF index (VFI). Fourier-domain optical coherence tomography (FDOCT) was used to measure optic disc, peripapillary retinal nerve fiber layer (NFL), and macular ganglion cell complex (GCC) thickness parameters. RESULTS: A total of 277 eyes of 188 participants were followed up for 3.7 ± 2.1 years. VF progression was observed in 83 eyes (30%). Several baseline NFL and GCC parameters, but not disc parameters, were found to be significant predictors of progression on univariate Cox regression analysis. The most accurate single predictors were the GCC focal loss volume (FLV), followed closely by NFL-FLV. An abnormal GCC-FLV at baseline increased risk of progression by a hazard ratio of 3.1. Multivariate Cox analysis showed that combining age and central corneal thickness with GCC-FLV in a composite index called "Glaucoma Composite Progression Index" (GCPI) further improved the accuracy of progression prediction. GCC-FLV and GCPI were both found to be significantly correlated with the annual rate of change in VFI. CONCLUSION: Focal GCC and NFL loss as measured by FDOCT are the strongest predictors for VF progression among the measurements considered. Older age and thinner central corneal thickness can enhance the predictive power using the composite risk model.
Authors: Maziar Lalezary; Felipe A Medeiros; Robert N Weinreb; Christopher Bowd; Pamela A Sample; Ivan M Tavares; Ali Tafreshi; Linda M Zangwill Journal: Am J Ophthalmol Date: 2006-10 Impact factor: 5.258
Authors: Christopher Kai Shun Leung; Shu Liu; Robert N Weinreb; Gilda Lai; Cong Ye; Carol Yim Lui Cheung; Chi Pui Pang; Kwok Kay Tse; Dennis Shun Chiu Lam Journal: Ophthalmology Date: 2011-04-29 Impact factor: 12.079
Authors: Felipe A Medeiros; Pamela A Sample; Linda M Zangwill; Christopher Bowd; Makoto Aihara; Robert N Weinreb Journal: Am J Ophthalmol Date: 2003-11 Impact factor: 5.258
Authors: Paul J Ernest; Jan S Schouten; Henny J Beckers; Fred Hendrikse; Martin H Prins; Carroll A Webers Journal: Ophthalmology Date: 2012-12-01 Impact factor: 12.079
Authors: Nicholas G Strouthidis; Stuart K Gardiner; Victoria M F Owen; Claudio Zuniga; David F Garway-Heath Journal: J Glaucoma Date: 2010 Jun-Jul Impact factor: 2.503
Authors: Xinbo Zhang; Brian A Francis; Anna Dastiridou; Vikas Chopra; Ou Tan; Rohit Varma; David S Greenfield; Joel S Schuman; David Huang Journal: Transl Vis Sci Technol Date: 2016-03-04 Impact factor: 3.283
Authors: Xinbo Zhang; Richard K Parrish; David S Greenfield; Brian A Francis; Rohit Varma; Joel S Schuman; Ou Tan; David Huang Journal: Am J Ophthalmol Date: 2019-02-20 Impact factor: 5.258
Authors: Takashi Nishida; Sasan Moghimi; Huiyuan Hou; James A Proudfoot; Aimee C Chang; Ryan Caezar C David; Alireza Kamalipour; Nevin El-Nimri; Jasmin Rezapour; Christopher Bowd; Linda M Zangwill; Robert N Weinreb Journal: Br J Ophthalmol Date: 2021-12-21 Impact factor: 5.908
Authors: Alireza Kamalipour; Sasan Moghimi; Huiyuan Hou; James A Proudfoot; Takashi Nishida; Linda M Zangwill; Robert N Weinreb Journal: Am J Ophthalmol Date: 2021-11-19 Impact factor: 5.488
Authors: Xinbo Zhang; Anna Dastiridou; Brian A Francis; Ou Tan; Rohit Varma; David S Greenfield; Joel S Schuman; David Huang Journal: Am J Ophthalmol Date: 2017-09-28 Impact factor: 5.258
Authors: Juleke E A Majoor; Koenraad A Vermeer; Eleni-Rosalina Andrinopoulou; Hans G Lemij Journal: Transl Vis Sci Technol Date: 2019-05-02 Impact factor: 3.283
Authors: Ryan Caezar C David; Sasan Moghimi; Eren Ekici; Jiun L Do; Huiyuan Hou; James A Proudfoot; Alireza Kamalipour; Takashi Nishida; Christopher A Girkin; Jeffrey M Liebmann; Robert N Weinreb Journal: Am J Ophthalmol Date: 2021-04-25 Impact factor: 5.488
Authors: Ou Tan; Liang Liu; Qisheng You; Jie Wang; Aiyin Chen; Eliesa Ing; John C Morrison; Yali Jia; David Huang Journal: Transl Vis Sci Technol Date: 2021-05-03 Impact factor: 3.283