Journal of neurology, neurosurgery, and psychiatry · 2026
Brain atrophy rates vary with age in relapsing-remitting multiple sclerosis.
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Kaçar Sezgi, van Nederpelt David R, Jelgerhuis Julia R, Coerver Eline M E, Killestein Joep, Sormani Maria Pia, Ciccarelli Olga, Arnold Douglas L, van Kempen Zoé L E, Uitdehaag B M J, Barkhof Frederik, Koch Marcus W, Schoonheim Menno M, Eshaghi Arman, Strijbis Eva M M
Аннотация
BACKGROUND: Brain atrophy is increasingly used as an outcome measure in clinical trials in relapsing-remitting multiple sclerosis (RRMS), but little is known about how chronological age interacts with MS-specific effects. For instance, while annual brain atrophy rates typically increase with age in healthy individuals, MS patients tend to exhibit decreasing atrophy rates over time.
METHODS: We investigated the relationship between age and brain volume in a large dataset of 4241 trial participants with RRMS. We used pooled individual-participant data from phase 3 clinical trials with 96 weeks follow-up, which included both active treatment and placebo/comparator arms. Participants were categorised into seven groups based on chronological age (18-24 years, 25-30 years, 31-35 years, 36-40 years, 41-45 years, 46-50 years, 51-56 years). We performed multilevel linear mixed-effects regression analyses to examine differences between age groups in normalised whole brain volume (NWBV), thalamus grey matter volume (NThGMV), grey matter volume (NGMV) and white matter volume at baseline and their changes over follow-up. We also studied how disease duration influenced these relationships using similar models.
RESULTS: Older participants showed significantly lower NWBV, NGMV and NThGMV at baseline than younger participants. Most importantly, older participants exhibited lower rates of atrophy during follow-up, particularly in the thalamus. This association was consistent across all disease duration subgroups.
CONCLUSIONS: Older participants had more severe atrophy when enrolled into trials, but slower (thalamic) atrophy rates, independent of disease duration over time. Together, these findings emphasise that age should be taken into account when designing clinical trials that use brain atrophy as an outcome measure.
METHODS: We investigated the relationship between age and brain volume in a large dataset of 4241 trial participants with RRMS. We used pooled individual-participant data from phase 3 clinical trials with 96 weeks follow-up, which included both active treatment and placebo/comparator arms. Participants were categorised into seven groups based on chronological age (18-24 years, 25-30 years, 31-35 years, 36-40 years, 41-45 years, 46-50 years, 51-56 years). We performed multilevel linear mixed-effects regression analyses to examine differences between age groups in normalised whole brain volume (NWBV), thalamus grey matter volume (NThGMV), grey matter volume (NGMV) and white matter volume at baseline and their changes over follow-up. We also studied how disease duration influenced these relationships using similar models.
RESULTS: Older participants showed significantly lower NWBV, NGMV and NThGMV at baseline than younger participants. Most importantly, older participants exhibited lower rates of atrophy during follow-up, particularly in the thalamus. This association was consistent across all disease duration subgroups.
CONCLUSIONS: Older participants had more severe atrophy when enrolled into trials, but slower (thalamic) atrophy rates, independent of disease duration over time. Together, these findings emphasise that age should be taken into account when designing clinical trials that use brain atrophy as an outcome measure.