Visual quality of life in NMOSD and MOGAD: profiles, dynamics and associations with ageing and vision

期刊论文
发表日期：

2024年12月21日

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Mihaela Nicolescu,
Vivien Häußler,
Friedemann Paul,
Frederike Cosima Oertel,
Patrick Schindler,
Judith Bellmann Strobl,
Markus Krumbholz,
Martin W. Hümmert,
Franziska Bütow,
Daria Tkachenko,
Corinna Trebst,
Charlotte Schubert,
Ilya Ayzenberg,
Carolin Schwake,
Thivya Pakeerathan,
Katinka Fischer,
Orhan Aktas,
Marius Ringelstein,
Markus Kraemer,
Clemens Warnke,
Matthias Grothe,
Matthias Kaste,
Klemens Angstwurm,
Peter Kern,
Ingo Kleiter,
Paulus Rommer,
Alexander Winkelmann,
Annette Walter,
Martin S. Weber,
Jonathan Wickel,
Katrin Giglhuber,
Florian Then Bergh,
Makbule Senel,
Hayrettin Tumani,
Ioannis Vardakas,
Eva Dawin,
Lisa Revie,
Luisa Klotz,
Mirjam Korporal-Kuhnke,
Sven Jarius,
Brigitte Wildemann,
Jonathan A. Gernert,
Tania Kümpfel,
Daniel Engels,
Joachim Havla,
Natacha Stolowy,
Jan-Patrick Stellmann

摘要

Objective

In this multicentric study, we were interested in the vision-related quality of life and its association with visual impairment in neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) in comparison to multiple sclerosis (MS) and healthy controls.

Methods

We analysed extracted data from the German NEMOS registry including National Eye Institute Visual Function Questionnaire (NEI-VFQ) scores, high and low contrast visual acuity (HCVA, LCVA), visually evoked potentials (VEP) and the scores for the expanded disability status scale (EDSS) and other neurological tests which assessed their disease-related impairment. The mean follow-up time of our patients was 1.2 years. We used adjusted linear mixed effect models to analyse NEI-VFQ differences and interactions with visual acuity among NMOSD, MOGAD, a matched MS cohort and healthy controls.

Results

Despite a younger age in the MOGAD cohort (39 y.o.), vision and socioemotional-related quality of life reduction was similar over all patient subgroups in comparison to healthy controls. The most impacted life quality dimension was general health, followed by general vision, driving and role difficulties. Decline in some of the NEI-VFQ subscales scores is mostly predicted by age. The HCVA was the best predictor for most of the subscales of the NEI-VFQ.

Discussion

Despite important age differences, NMOSD, MOGAD and MS seem to share a rather similar perception on their vision and quality of life impairment, which is overall poorer than that of healthy controls.