Table 4 Univariate and EDSS adjusted associations between key-parameters and performance at the Neuro Assessment Lab, including patient characteristics
Parameter | Dimension | Univariate regression | EDSS adjusted |
|---|---|---|---|
PEAKSTD | Upper-limb | GRIP r = 0.44, p < 0.01 PEG r = 0.25, p = 0.028 TAP r = 0.25, p = 0.029 | GRIP β = 0.33, p < 0.01 |
Gait | LIMP r = − 0.24, p = 0.040 NORM10 r = − 0.27, p = 0.019 MAX10 r = − 0.29, p = 0.010 | – | |
Information processing capacity | – | – | |
Clinical estimate & age | EDSS r = − 0.31, p < 0.01 | – | |
CADENCE | Upper-limb | GRIP r = 0.38, p < 0.01 PEG r = 0.43, p < 0.01 TAP r = 0.44, p < 0.01 DOT r = − 0.40, p < 0.01 | TAP β = 0.25, p = 0.042 DOT β = − 0.40, p < 0.01 |
Gait | LIMP r = − 0.25, p = 0.032 COMPL r = 0.35, p < 0.01 FREQ r = 0.55, p < 0.01 NORM10 r = − 0.47, p < 0.01 MAX10 r = − 0.50, p < 0.01 TSUG r = − 0.51, p < 0.01 | – | |
Information processing capacity | RT r = − 0.24, p = 0.034 | – | |
Clinical estimate and age | EDSS r = − 0.57, p < 0.01 WSS r = − 0.43, p < 0.01 AGE r = − 0.40, p < 0.01 FM r = − 0.34, p < 0.01 | – | |
FATREV | Upper-limb | GRIP r = 0.32, p < 0.01 PEG r = 0.50, p < 0.01 TAP r = 0.57, p < 0.01 DOT r = − 0.55, p < 0.01 | GRIP β = 0.57, p < 0.01 PEG β = 0.24, p = 0.034 TAP β = 0.57, p < 0.01 DOT β = − 0.55, p < 0.01 |
Gait | ASYM r = − 0.24, p = 0.038 NOISE r = 0.37, p < 0.01 COMPL r = 0.56, p < 0.01 FREQ r = 0.63, p < .01 NORM10 r = − 0.62, p < 0.01 MAX10 r = − 0.67, p < 0.01 TSUG r = − 0.69, p < .01 | – | |
Information processing capacity | RT r = − 0.37, p < 0.01 GNG r = − 0.27, p = 0.018 | RT β = − 0.37, p < 0.01 GNG β = − 0.27, p = 0.018 | |
Clinical estimate and age | EDSS r = − 0.58, p < 0.01 WSS r = − 0.63, p < 0.01 AGE r = − 0.36, p < 0.01 FM r = − 0.35, p < 0.01 LAT r = − 0.24, p = 0.034 | – |