
lifestyle (including ongoing physiotherapy treatment). After
cross-over, the exercise group was encouraged to continue
self-guided exercise, but without supervision or admittance to
the trial training facilities.
PAE sessions were conducted twice weekly between 1:00 and 6:
00 PM during the 24 weeks, comprising one continuous and one
interval exercise session. To ensureadherenceandaccurateex-
ercise progression, all sessions were supervised by exercise
physiologists. In brief, exercise volume increased from 30 to 60
minutes per session during the intervention period, while in-
tensity increased from 65% to 95% of the individual patient’s
maximum heart rate (HR
max
). Data available from Dryad (ap-
pendix, doi.org/10.5061/dryad.3ffbg79fs) provide details about
exercise modality options, volume and intensity progression of
the exercise sessions, and exercise intensity adherence.
At baseline (T0), after 24 weeks (T24), and after 48 weeks
(T48), the following parameters were assessed: MRI scans,
serum samples, cardiorespiratory fitness, walking capacity, and
a questionnaire to determine self-reported MS impact. Test
sessions, including MRI scans, were separated by a minimum of
48 hours and a maximum of 10 days from the last exercise bout.
All MRI measurements were performed on the same 3T MRI
scanner (Skyra; Siemens Medical Systems, Erlangen, Ger-
many). Structural T1-weighted MP2RAGE images, fluid-
attenuated inversion recovery (FLAIR) images, and diffusion
kurtosis imaging (DKI) were acquired. MP2RAGE and
FLAIR were 3D sequences. Data available from Dryad (ap-
pendix, doi.org/10.5061/dryad.3ffbg79fs) describe all details
about the MRI sequences and image processing.
Following 10–15 minutes of supine rest, serum samples were
obtained by a certified laboratory technician and stored at −80°C
according to standardized procedures.
16
Samples were collected
in the morning between 9:00 and 11:00 AM to minimize the
influence of circadian rhythms. An ultrasensitive single-molecule
array (Simoa) sNfL assay was used to explore longitudinal sNfL
development as previously described.
17
Participants performed an incremental exercise test until ex-
haustion on a bicycle ergometer to determine directly mea-
sured VO
2
max (Oxigraf O2CPX, Oxigraf Inc., Sunnyvale,
CA) and maximal cycling power output (W
max
). For further
details, see Langeskov-Christensen et al.
15
To objectively assess walking capacity, the 6-Minute Walk Test
(6MWT) was used. Participants were permitted habitual assistive
devices during testing and were instructed to complete the
6MWT “at their fastest speed and to cover as much distance as
possible”on a 30-meter hallway pivoting at each end of the hall.
The total distance walked after 6 minutes was registered.
The MS Impact Scale (MSIS)–29 physical and psychological
subscales were specifically selected to assess MS impact, thus
providing a subjective measure of disease impact/progression.
The number of confirmed relapses was obtained from the
patients’medical records.
Outcomes
The primary outcome was PBVC after 24 weeks, estimated by
structural imaging evaluation of normalized atrophy (SIENA).
18
Secondary MRI outcomes were normalized gray and white
matter volume (SIENAX),
18
brain parenchymal fraction (BPF),
gray matter parenchymal fraction (GMPF), white matter pa-
renchymal fraction (WMPF), cortical thickness, black hole le-
sion load (areas of focal axonal damage and irreversible tissue
destruction), volumes of hippocampus, thalamus, corpus cal-
losum, basal ganglia (defined as the caudate, putamen, and
globus pallidus), and upper spinal cord volume, T2 lesion load,
and DKI metrics (fractional anisotropy [FA], kurtosis fractional
anisotropy [KFA], mean diffusivity [MD], mean kurtosis tensor
[MKT]) of the cortex, hippocampus, thalamus, basal ganglia,
and corpus callosum. A secondary biomarker outcome was sNfL
concentration. The secondary clinical outcomes were cardio-
respiratory fitness (VO
2
max), W
max
,relapserate,6MWT,and
MSIS-29. Exercise adherence (% completed sessions) and ex-
ercise intensity were assessed. Adverse events were registered by
PAE supervisors.
Statistical Analysis
The sample size calculation (a 2-sample comparison of PBVC
means with 80% power to detect a treatment effect at a 5%
significance level while allowing for a 10% combined rate of
loss to follow-up and nonadherence) was applied (control
mean PBVC = −0.27859 ± 0.5253; experimental mean PBVC
=−0.0129 ± 0.2698),
12
revealing that a total of 86 pwMS were
needed.
Descriptive baseline variables modeled as continuous (i.e., age,
height, weight, body mass index, EDSS, time since diagnosis,
cardiorespiratory fitness, cycling power output) were assumed
to follow a normal distribution. All analyses were performed
using an intention-to-treat linear mixed effects model including
all randomized participants. Patients who dropped out con-
tributed with information in their respective groups until they
dropped out (i.e., imputation was not applied). The primary
outcome was analyzed with group as a fixed effect and patient ID
as a random effect, since PBVC reflects changes between time
points (i.e., change from T0 to T24 and from T24 to T48).
Secondary longitudinal data were analyzed using a mixed-effects
analysisforrepeatedmeasureswithtimeandgroupasfixed
effects and patient ID as a random effect. To account for mul-
tiple comparisons, we also present Bonferroni-corrected
between-group findings. Likelihood ratio tests were used to
test for equal/unequal SDs and correlations in the 2 groups for
each secondary outcome. Model validation was performed by
inspecting the standardized residuals (i.e., QQ-plots, plots of the
standardized residuals against the fitted values). Data were log-
transformed when appropriate (sNfL, black hole lesion load)
but presented as raw point values. Log-transformed between-
and within-group changes were back-transformed by the ex-
ponential function to median ratios. If a significant time × group
Neurology.org/N Neurology | Volume 96, Number 2 | January 12, 2021 e205
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