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. 2019 Nov 22;87(1):63–74. doi: 10.1002/ana.25637

Table 4.

Best Independent Early Predictors of 30‐Year SPMS Status. All models include EDSS 10 at or before 30 years.

Predictor Odds Ratio (95% CI) p Predictor Combinations
30‐year SPMS, best independent predictors up to 1 year a
Baseline infratentorial lesion count, ≥1 vs 0 26.0 (3.1–215.0) 0.003 0 0 ≥1 ≥1
1‐year deep white matter lesion count, ≥1 vs 0 8.6 (1.8–41.0) 0.007 0 ≥1 0 ≥1
Model‐predicted probabilities for 30‐year SPMS (95% CI) 7% (0–16) 38% (23–53) 94% (83–100)
30‐year SPMS, best independent predictors up to 5 years b
5‐year deep white matter lesion count, >5 vs ≤5 5.3 (1.7–16.6) 0.005 ≤5 ≤5 >5 >5
EDSS score change from nadir to 5‐year, ≥2 vs <2 31.1 (3.5–279.9) 0.002 <2 ≥2 <2 ≥2
Model‐predicted probabilities for 30‐year SPMS (95% CI) 11% (2–21) 80% (46–100) 41% (24–57) 96% (86–100)

All models include EDSS = 10 at or before 30 years.

a

Model n = 89. Overall model accuracy using 0.5 probability cutoff (95% CI) = 79% (69–87).

b

Model n = 85. Overall model accuracy using 0.5 probability cutoff (95% CI) = 78% (67–86).

CI = confidence interval; EDSS = Expanded Disability Status Scale; SPMS = secondary progressive multiple sclerosis.