Table 2.
aLpRNFL |
aLGCIPL |
|||||
---|---|---|---|---|---|---|
Ba | 95% CI | p-Value | Ba | 95% CI | p-Value | |
EDSS worsening (per event) | 1.9 | 1.6 – 2.3 | <0.001 | 1.7 | 1.4 – 2.1 | <0.001 |
Adjusted for sex, age, disease duration, EDSS/pRNFL baseline and DMT status. R square 0.490; p < 0.001 | Adjusted for sex, age, disease duration, EDSS/GCIPL baseline and DMT status. R square 0.513; p < 0.001 | |||||
SDMT worsening (per event) | 2.1 | 1.8–2.5 | <0.001 | 2.0 | 1.7 – 2.3 | <0.001 |
Adjusted for sex, age, disease duration, SDMT/pRNFL baseline and DMT status. R square 0.515; p < 0.001 | Adjusted for sex, age, disease duration, SDMT/GCIPL baseline and DMT status. R square 0.533; p < 0.001 | |||||
Relapse (per event) | 0.6 | −0.1–1.3 | 0.237 | 0.5 | −0.2 – 1.1 | 0.371 |
Adjusted for sex, age, disease duration, relapse/pRNFL baseline and DMT status. R square 0.240; p = 0.047 | Adjusted for sex, age, disease duration, relapse/GCIPL baseline and DMT status. R square 0.218; p = 0.038 | |||||
Relapse with sub sequent EDSS worsening (per event) | 1.4 | 0.9–2.0 | <0.001 | 1.3 | 0.8–2.1 | <0.001 |
Adjusted for sex, age, disease duration, relapse/pRNFL baseline and DMT status. R square 0.285; p = 0.029 | Adjusted for sex, age, disease duration, relapse/GCIPL baseline and DMT status. R square 0.298; p = 0.012 | |||||
PIRA (per event) | 1.9 | 1.5–2.4 | <0.001 | 1.8 | 1.4 – 2.1 | <0.001 |
Adjusted for sex, age, disease duration, EDSS/SDMT/pRNFL baseline, and DMT status. R square 0.654; p < 0.001 | Adjusted for sex, age, disease duration, EDSS/SDMT/GCIPL baseline, and DMT status. R square 0.661; p < 0.001 |
aLpRNFL: annualised loss of peripapillary retinal nerve fibre layer. aLGCIPL: annualised loss of macular ganglion cell and inner plexiform layer. B: regression coefficient. 95% CI: 95% confidence interval for B. EDSS: Expanded Disability Status Scale. PIRA: progression independent of relapse activity. SDMT: symbol digit modalities test.
aValues indicate an additional loss of B µm in pRNFL/GCIPL per occurrence of the respective event calculated by linear regression models.