Litcius/Paper detail

Retinal layer thinning predicts treatment failure in relapsing multiple sclerosis

Gabriel Bsteh, Harald Hegen, Patrick Altmann, Michael Auer, Klaus Berek, Franziska Di Pauli, Fritz Leutmezer, Paulus Rommer, Sebastian Wurth, Anne Zinganell, Tobias Zrzavy, Florian Deisenhammer, Thomas Berger

2021European Journal of Neurology28 citationsDOIOpen Access PDF

Abstract

BACKGROUND AND PURPOSE: Peripapillary retinal nerve fiber layer (pRNFL) and macular ganglion cell plus inner plexiform layer (GCIPL) thinning are markers of neuroaxonal degeneration in multiple sclerosis (MS), which is reduced by disease-modifying treatment (DMT). We aimed to investigate the potential of pRNFL and GCIPL thinning for prediction of DMT failure in relapsing MS (RMS). METHODS: In this 4-year prospective observational study on 113 RMS patients, pRNFL and GCIPL were measured at DMT initiation and after 12 months (M12) and 24 months (M24). Treatment failure was defined as 6-month confirmed Expanded Disability Status Scale (EDSS) progression and/or Symbol Digit Modalities Test (SDMT) worsening. Optimal cutoff values for predicting treatment failure were determined by receiver operating characteristic analyses and hazard ratios (HRs) by multivariable Cox regression adjusting for age, sex, disease duration, EDSS/SDMT, and DMT class. RESULTS: Thinning of GCIPL >0.5 μm/year at M24 showed superior value for treatment failure prediction (HR: 4.5, 95% confidence interval [CI]: 1.8-7.6, p < 0.001; specificity 91%, sensitivity 81%), followed by GCIPL >0.5 μm at M12 (odds ratio [OR]: 3.9, 95% CI: 1.4-6.9, p < 0.001; specificity 85%, sensitivity 78%), and pRNFL ≥2 μm/year at M24 (OR: 3.7, 95% CI: 1.1-6.5, p = 0.023; specificity 84%, sensitivity 69%), whereas pRNFL at M12 was not predictive. CONCLUSIONS: GCIPL, and to a lesser degree pRNFL, thinning predicts disability progression after DMT initiation and may be a useful and accessible biomarker of treatment failure in RMS.

Topics & Concepts

MedicineExpanded Disability Status ScaleHazard ratioConfidence intervalNerve fiber layerInternal medicineRetinalCardiologyOphthalmologyMultiple sclerosisImmunologyMultiple Sclerosis Research StudiesPeripheral Neuropathies and DisordersAmyotrophic Lateral Sclerosis Research