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. 2023 Oct 27;53(13):2672–2682. doi: 10.1007/s00247-023-05791-7

Table 4.

Univariate and multivariate logistic regression for predicting future motor function decline in Duchenne muscular dystrophy

Variable Univariate analysis Multivariate analysis (model 1) Multivariate analysis (model 2)
OR 95% CI P-value OR 95% CI P-valuea OR 95% CI P-valuea
T1 (ms)
Flexors 0.997 0.994~0.999 0.006 1.000 0.995~1.005 0.914 1.001 0.996~1.005 0.832
Extensors 0.995 0.993~0.998 0.000 0.999 0.995~1.004 0.785 0.999 0.995~1.004 0.700
Adductors 0.997 0.995~0.998 0.001 1.002 0.998~1.006 0.444 1.002 0.998~1.007 0.292
Abductors 0.997 0.995~0.998 0.000 1.001 0.997~1.004 0.650 1.001 0.997~1.004 0.655
Fat fraction (%)
Flexors 1.123 1.064~1.184 0.000 0.980 0.883~1.088 0.706 / / /
Extensors 1.098 1.055~1.143 0.000 1.026 0.940~1.121 0.564 1.003 0.920~1.094 0.941
Adductors 1.090 1.050~1.131 0.000 / / / 1.036 0.957~1.122 0.377
Abductors 1.099 1.055~1.145 0.000 1.104 1.026~1.187 0.008 1.085 1.013~1.161 0.019
Age(y) 1.338 1.033~1.733 0.028 1.071 0.764~1.499 0.691 1.038 0.735~1.467 0.831
BMI (kg/m2) 1.117 0.959~1.301 0.156 / / /  /  /  /
Corticosteroid use 6.250 1.809~21.589 0.004 3.915 0.621~24.687 0.146 3.857 0.663~22.435 0.133

BMI body mass index, CI confidence internal, DMD Duchenne muscular dystrophy, OR odds ratio

aP-value <0.05 is significant (bold)