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Brain and behavior · 2026

Retinal Layer Thickness for Risk Stratification of Progression Independent of Relapse Activity in Relapsing-Remitting Multiple Sclerosis.

СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Braginets Andre, Oertel Frederike Cosima, Strauß Eva-Maria, Leutloff Carla, Schmitz-Hübsch Tanja, Paul Friedemann, Asseyer Susanna, Wicklein Rebecca, Hemmer Bernhard, Ruprecht Klemens, Zimmermann Hanna Gwendolyn, Knier Benjamin, Lin Ting-Yi

Аннотация

BACKGROUND: Identifying people with relapsing-remitting multiple sclerosis (pwRRMS) at risk of progression independent of relapse activity (PIRA) remains an unmet clinical need. Optical coherence tomography (OCT)-derived measures of retinal neuroaxonal damage may provide prognostic value. This study aimed to evaluate whether peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell-inner plexiform layer (GCIP) thickness predict PIRA within a heterogenous group of pwRRMS.

METHODS: We retrospectively screened pwRRMS with ≥ 2 years relapse-free follow-up from prospective observational cohort studies in Berlin (n = 74) and Munich (n = 146). PIRA was defined as disability worsening, determined by method-specific thresholds across multimodal assessments, sustained until end of follow-up. Analyses were restricted to non-optic neuritis eyes. Cox hazard models were used to assess the adjusted hazard (aHR) of PIRA with age-adjusted pRNFL or GCIP Z-scores.

RESULTS: Out of 220 pwRRMS (age: 38.1 ± 9.9 years), 65 (29.5%) developed PIRA over a follow-up of 2.9 [IQR: 1.6-4.1] years. No associations between OCT measures and PIRA were found within the overall study population or Munich cohort. In the Berlin cohort, thinner pRNFL predicted PIRA (aHR [95% CI] = 1.41 [1.03-1.92], p = 0.032), while GCIP did not (aHR [95% CI] = 1.38 [0.90-2.10], p = 0.140).

CONCLUSIONS: OCT measurements do not predict the hazard of PIRA within a heterogeneous group of pwRRMS. However, they have potential prognostic value in early disease stages. Clinical characteristics might influence the association and require further investigation.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты