Inner retinal layer thinning in radiologically isolated syndrome predicts conversion to multiple sclerosis

Aly, L.; Havla, J.; Lepennetier, G.; Andlauer, T. F. M.; Sie, C.; Strauss, E.-M.; Hoshi, M.-M.; Kuempfel, T.; Hiltensperger, M.; Mitsdoerffer, M.; Muehlau, M.; Zimmer, C.; Hemmer, B.; Korn, T. und Knier, B. (2020): Inner retinal layer thinning in radiologically isolated syndrome predicts conversion to multiple sclerosis. In: European Journal of Neurology, Bd. 27, Nr. 11: S. 2217-2224

Abstract

Background and purpose: Individuals with radiologically isolated syndrome (RIS) are at increased risk of converting to multiple sclerosis (MS). Early identification of later converters is crucial for optimal treatment decisions. The purpose of this study was to assess the predictive potential of optical coherence tomography (OCT) measures in individuals with RIS regarding conversion to MS. Methods: This prospective observational cohort study included 36 individuals with RIS and 36 healthy controls recruited from two German MS centers. All individuals received baseline OCT and clinical examination and were longitudinally followed over up to 6 years. The primary outcome measure was the conversion to MS. Results: During clinical follow-up of 46 (26-58) months (median, 25%-75% interquartile range), eight individuals with RIS converted to MS. Individuals converting to MS showed a thinning of the peripapillary retinal nerve fiber layer (pRNFL) and the common ganglion cell and inner plexiform layer (GCIP) at baseline and during follow-up. Individuals with a pRNFL of 99 mu m or lower or a GCIP of 1.99 mm(3)or lower were at a 7.5- and 8.0-fold risk for MS conversion, respectively, compared to individuals with higher measures. After correction for other known risk factors, Cox proportional hazards regression revealed a hazard ratio of 1.08 for conversion to MS for each 1 mu m decline in pRNFL. Conclusions: Reduction of the pRNFL might be a novel and independent risk factor for conversion to MS in individuals with RIS. OCT might be useful for risk stratification and therapeutic decision-making in individuals with RIS.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin ; Medizin > Munich Cluster for Systems Neurology (SyNergy)
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1351-5101
• Sprache: Englisch
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198