PURPOSE: To investigate the relationship between corneal hysteresis (CH) and progressive retinal nerve fiber layer (RNFL) loss in a cohort of patients with glaucoma followed prospectively over time. DESIGN: Prospective observational cohort study. METHODS: One hundred and eighty-six eyes of 133 patients with glaucoma were followed for an average of 3.8 ± 0.8 years, with a median of 9 visits during follow-up. The CH measurements were acquired using the Ocular Response Analyzer (Reichert Instruments, Depew, New York, USA) and RNFL measurements were obtained at each follow up visit using spectral-domain optical coherence tomography (SDOCT). Random-coefficient models were used to investigate the relationship between baseline CH, central corneal thickness (CCT), average intraocular pressure (IOP), and rates of RNFL loss during follow-up, while adjusting for potentially confounding factors. RESULTS: Average baseline RNFL thickness was 76.4 ± 18.1 μm and average baseline CH was 9.2 ± 1.8 mm Hg. CH had a significant effect on rates of RNFL progression. In the univariable model, including only CH as a predictive factor along with time and their interaction, each 1 mm Hg lower CH was associated with a 0.13 μm/year faster rate of RNFL decline (P = .011). A similar relationship between low CH and faster rates of RNFL loss was found using a multivariable model accounting for age, race, average IOP, and CCT (P = .015). CONCLUSIONS: Lower CH was significantly associated with faster rates of RNFL loss over time. The prospective longitudinal design of this study provides further evidence that CH is an important factor to be considered in the assessment of the risk of progression in patients with glaucoma.
PURPOSE: To investigate the relationship between corneal hysteresis (CH) and progressive retinal nerve fiber layer (RNFL) loss in a cohort of patients with glaucoma followed prospectively over time. DESIGN: Prospective observational cohort study. METHODS: One hundred and eighty-six eyes of 133 patients with glaucoma were followed for an average of 3.8 ± 0.8 years, with a median of 9 visits during follow-up. The CH measurements were acquired using the Ocular Response Analyzer (Reichert Instruments, Depew, New York, USA) and RNFL measurements were obtained at each follow up visit using spectral-domain optical coherence tomography (SDOCT). Random-coefficient models were used to investigate the relationship between baseline CH, central corneal thickness (CCT), average intraocular pressure (IOP), and rates of RNFL loss during follow-up, while adjusting for potentially confounding factors. RESULTS: Average baseline RNFL thickness was 76.4 ± 18.1 μm and average baseline CH was 9.2 ± 1.8 mm Hg. CH had a significant effect on rates of RNFL progression. In the univariable model, including only CH as a predictive factor along with time and their interaction, each 1 mm Hg lower CH was associated with a 0.13 μm/year faster rate of RNFL decline (P = .011). A similar relationship between low CH and faster rates of RNFL loss was found using a multivariable model accounting for age, race, average IOP, and CCT (P = .015). CONCLUSIONS: Lower CH was significantly associated with faster rates of RNFL loss over time. The prospective longitudinal design of this study provides further evidence that CH is an important factor to be considered in the assessment of the risk of progression in patients with glaucoma.
Authors: Felipe A Medeiros; Linda M Zangwill; Luciana M Alencar; Pamela A Sample; Robert N Weinreb Journal: Am J Ophthalmol Date: 2010-04-08 Impact factor: 5.258
Authors: Nicholas G Strouthidis; Andrew Scott; Neena M Peter; David F Garway-Heath Journal: Invest Ophthalmol Vis Sci Date: 2006-07 Impact factor: 4.799
Authors: Carlos V Gustavo De Moraes; Victoria Hill; Celso Tello; Jeffrey M Liebmann; Robert Ritch Journal: J Glaucoma Date: 2012 Apr-May Impact factor: 2.503
Authors: Mitra Sehi; Xinbo Zhang; David S Greenfield; Yunsuk Chung; Gadi Wollstein; Brian A Francis; Joel S Schuman; Rohit Varma; David Huang Journal: Am J Ophthalmol Date: 2012-10-01 Impact factor: 5.258
Authors: Anthony P Wells; David F Garway-Heath; Ali Poostchi; Tracey Wong; Kenneth C Y Chan; Nisha Sachdev Journal: Invest Ophthalmol Vis Sci Date: 2008-03-03 Impact factor: 4.799
Authors: Brandon J Wong; Sasan Moghimi; Linda M Zangwill; Mark Christopher; Akram Belghith; Eren Ekici; Christopher Bowd; Massimo A Fazio; Christopher A Girkin; Robert N Weinreb Journal: Am J Ophthalmol Date: 2019-11-23 Impact factor: 5.258
Authors: Bianca N Susanna; Nara G Ogata; Alessandro A Jammal; Carolina N Susanna; Samuel I Berchuck; Felipe A Medeiros Journal: Ophthalmology Date: 2019-08-09 Impact factor: 12.079
Authors: Bianca N Susanna; Nara G Ogata; Fábio B Daga; Carolina N Susanna; Alberto Diniz-Filho; Felipe A Medeiros Journal: Ophthalmology Date: 2018-08-13 Impact factor: 12.079
Authors: Alessandro A Jammal; Atalie C Thompson; Eduardo B Mariottoni; Tais Estrela; Leonardo S Shigueoka; Samuel I Berchuck; Felipe A Medeiros Journal: Ophthalmology Date: 2020-06-21 Impact factor: 12.079
Authors: Vahid Mohammadzadeh; Erica Su; Alessandro Rabiolo; Lynn Shi; Sepideh Heydar Zadeh; Simon K Law; Anne L Coleman; Joseph Caprioli; Robert E Weiss; Kouros Nouri-Mahdavi Journal: Am J Ophthalmol Date: 2021-12-21 Impact factor: 5.488