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. 2024 May 7;11(6):1442–1455. doi: 10.1002/acn3.52056

Table 2.

Analysis of BL characteristics and outcome following ALEM treatment.

Baseline variables p‐value Correlation
EDSS increase at last follow‐up
MS duration at ALEM initiation <0.001 r = 0.35
BL EDSS <0.001 r = 0.76
Treatment naïve 0.017 a Median EDSS difference = 1.0 (95% CI 0.0–2.20) b
No. DMTs prior ALEM 0.014 a r = 0.26
High‐efficacy pretreatment 0.004 a Median EDSS differences = 1.0 (95% CI 0.0–2.0)
Switch from NAT 0.004 a Median EDSS differences = 1.0 (95% CI 0.5–2.20) b
PIRA “yes/no”
No. DMTs prior to ALEM 0.04 c HR 3.06 (95% CI 1.05–8.89)
Achievement of CDI “yes/no”
Age at MS diagnosis 0.04 c HR 1.96 (1.03–3.74)
MS duration at ALEM initiation 0.00009 c HR 0.86 (0.80–0.93)
High‐efficacy DMTs prior to ALEM <0.001 c HR 5.16 (95% CI 2.66–10.0)
Switch from NAT 0.025 c HR 3.9 (95% CI: 1.18–12.9)
Switch from FTY 0.016 c HR 2.3 (95% CI: 1.16–4.58)

ALEM, alemtuzumab; BL, baseline; CDI, confirmed disability improvement; CI, confidence interval; DMT, disease‐modifying therapy; EDSS, Expanded Disability Status Scale; FTY, fingolimod; HR, hazard ratio (Cox‐regression model); MS, multiple sclerosis; NAT, natalizumab; No., number of; OR, odds ratio (logistic regression); PIRA, progression independent of relapse activity; r, Spearman correlation coefficient.

a

Wilcoxon–Mann–Whitney based on 10,000 Monte‐Carlo simulations.

b

Hodges‐Lehmann 95% CI.

c

Cox‐regression model.