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. 2022 Sep 13;123(3):917–925. doi: 10.1007/s13760-022-02091-z

Table 4.

Bivariate logistic regression models predicting neurological deterioration amongst all patients

Predictor (above vs below cut-off) OR (95% CI) P value*
Model 1 sNfL 6.94 (1.19–40.47) 0.031
UWDRS part III 7.14 (1.40–36.49) 0.018
Model 2 MRI: acute toxicity 1.63 (0.20–13.30) 0.649
UWDRS part III 7.76 (0.97–62.14) 0.054
Model 3 MRI: chronic damage 7.58 (0.69–83.10) 0.097
UWDRS part III 4.01 (0.70–22.92) 0.118
Model 4 MRI: total score 5.64 (0.46–68.46) 0.175
UWDRS part III 4.28 (0.71–25.92) 0.114
Model 5 MRI: acute toxicity 3.88 (0.79–19.09) 0.095
sNfL 7.64 (1.37–42.82) 0.021
Model 6 MRI: chronic damage 10.32 (1.13–94.24) 0.039
sNfL 6.31 (1.09–36.63) 0.040
Model 7 MRI: total score 8.22 (0.89–75.57) 0.063
sNfL 6.30 (1.10–36.16) 0.039

Cut-off values for individual predictors were taken from receiver operating characteristic curve analyses

CI confidence interval, MRI magnetic resonance imaging, OR odds ratio, sNfL serum neuro-filament light chain, UWDRS Unified Wilson’s Disease Rating Scale

*Wald test