Literature DB >> 15781814

Low-contrast letter acuity testing captures visual dysfunction in patients with multiple sclerosis.

M L Baier1, G R Cutter, R A Rudick, D Miller, J A Cohen, B Weinstock-Guttman, M Mass, L J Balcer.   

Abstract

OBJECTIVE: To evaluate concurrent and predictive validity for low-contrast letter acuity (L-CLA) testing as a candidate visual component for the Multiple Sclerosis Functional Composite (MSFC).
METHODS: L-CLA testing was conducted in two MS patient cohorts. In the MSFC Validation Study, 137 participants from a Phase III trial of inteferon beta-1a (Avonex) for relapsing-remitting MS were followed. A second cohort included 65 patients with secondary progressive MS who participated in a substudy of the International MS Secondary Progressive Avonex Controlled Trial (IMPACT). The total number of letters read correctly at four contrast levels (100, 5, 1.25, and 0.6%) was correlated with Expanded Disability Status Scale (EDSS), MSFC, Sickness Impact Profile, Multiple Sclerosis Quality of Life Inventory, and brain parenchymal fraction (BPF), as determined by MRI.
RESULTS: Low- and high-contrast letter acuity scores correlated with BPF at follow-up in the MSFC Validation Study (5%: r = 0.40, p < 0.0001; 100%: r = 0.31, p = 0.0002). L-CLA also correlated with EDSS (5%: r = -0.35, p < 0.0001; 1.25%: r = -0.26, p = 0.0003) and MSFC (5%: r = 0.47, p < 0.0001; 1.25%: r = 0.45, p < 0.0001). In the IMPACT Substudy, change in L-CLA scores from baseline to year 1 predicted subsequent change in the EDSS from year 1 to 2 at the 5% (p = 0.0142) and the 1.25% (p = 0.0038) contrast levels, after adjusting for change in MSFC scores from baseline to year 1.
CONCLUSIONS: Low-contrast letter acuity (L-CLA) scores demonstrate concurrent and predictive validity in patients with relapsing-remitting and secondary progressive multiple sclerosis (MS). L-CLA testing provides additional information relevant to the MS disease process that is not entirely captured by the Multiple Sclerosis Functional Composite.

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Year:  2005        PMID: 15781814     DOI: 10.1212/01.WNL.0000154521.40686.63

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  56 in total

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2.  Human vision with a lesion of the parvocellular pathway: an optic neuritis model for selective contrast sensitivity deficits with severe loss of midget ganglion cell function.

Authors:  Amal M Al-Hashmi; Daniel J Kramer; Kathy T Mullen
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3.  Diffusion tensor imaging of the optic tracts in multiple sclerosis: association with retinal thinning and visual disability.

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Journal:  J Neuroimaging       Date:  2011-04       Impact factor: 2.486

Review 4.  Optical coherence tomography: a window into the mechanisms of multiple sclerosis.

Authors:  Elliot M Frohman; James G Fujimoto; Teresa C Frohman; Peter A Calabresi; Gary Cutter; Laura J Balcer
Journal:  Nat Clin Pract Neurol       Date:  2008-12

Review 5.  Assessing structure and function of the afferent visual pathway in multiple sclerosis and associated optic neuritis.

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Journal:  J Neurol       Date:  2009-03-18       Impact factor: 4.849

6.  Evaluation of optic neuropathy in multiple sclerosis using low-contrast visual evoked potentials.

Authors:  M J Thurtell; E Bala; S S Yaniglos; J C Rucker; N S Peachey; R J Leigh
Journal:  Neurology       Date:  2009-12-01       Impact factor: 9.910

7.  Anatomic and functional correlation of frequency-doubling technology perimetry (FDTP) in multiple sclerosis.

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Review 8.  Evolution of Visual Outcomes in Clinical Trials for Multiple Sclerosis Disease-Modifying Therapies.

Authors:  Rachel C Nolan; Omar Akhand; John-Ross Rizzo; Steven L Galetta; Laura J Balcer
Journal:  J Neuroophthalmol       Date:  2018-06       Impact factor: 3.042

9.  Effect of 4-aminopyridine on vision in multiple sclerosis patients with optic neuropathy.

Authors:  Lindsay Horton; Amy Conger; Darrel Conger; Gina Remington; Teresa Frohman; Elliot Frohman; Benjamin Greenberg
Journal:  Neurology       Date:  2013-04-24       Impact factor: 9.910

10.  Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis.

Authors:  Daniel M Harrison; Navid Shiee; Pierre-Louis Bazin; Scott D Newsome; John N Ratchford; Dzung Pham; Peter A Calabresi; Daniel S Reich
Journal:  J Neurol       Date:  2012-08-12       Impact factor: 4.849

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