Peripapillary retinal nerve fibre layer thinning rate as a biomarker discriminating stable and progressing relapsing-remitting multiple sclerosis

Eur J Neurol. 2019 Jun;26(6):865-871. doi: 10.1111/ene.13897. Epub 2019 Feb 19.

Abstract

Background and purpose: Peripapillary retinal nerve fibre layer (pRNFL) thickness is a strong candidate as a biomarker of axonal degeneration in multiple sclerosis (MS). The aim was to determine a cut-off value of pRNFL thinning rates in relapsing-remitting MS (RRMS) to discriminate between stable and progressing patients.

Methods: In this 3-year prospective longitudinal study on 141 RRMS patients, annual pRNFL thinning rates (aLpRNFL) were determined by individual linear regression models. The best possible cut-off value discriminating clinically progressing (physical progression or cognitive decline) and stable patients was defined by receiver operating characteristic analysis. Cut-off values were validated using a multivariate logistic regression model.

Results: Average aLpRNFL in progressing patients (2.4 μm, SD 2.1) was significantly higher compared to stable patients (0.5 μm, SD 1.2, P < 0.001). At a predefined specificity of 90%, aLpRNFL >1.5 μm was able to distinguish between stable and progressing RRMS with a sensitivity of 76.1%. aLpRNFL >1.5 μm was associated with a 15-fold increased risk of clinically progressing MS (P < 0.001).

Conclusions: A cut-off of aLpRNFL discriminating clinically progressing and stable RRMS was identified. After validation in independent cohorts, this cut-off could be used as a biomarker of axonal degeneration supporting disease monitoring in daily clinical routine.

Keywords: biomarker; multiple sclerosis; optical coherence tomography; peripapillary retinal nerve fibre layer thickness; progressing; stable.

MeSH terms

  • Adult
  • Biomarkers
  • Disease Progression
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Multiple Sclerosis, Relapsing-Remitting / diagnostic imaging*
  • Nerve Fibers
  • Prospective Studies
  • Retina / diagnostic imaging*
  • Sensitivity and Specificity
  • Tomography, Optical Coherence

Substances

  • Biomarkers