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Table 4 Univariate and multivariate logistic regression model for predicting poor motor function

From: Predictive nomogram for soft robotic hand rehabilitation of patients with intracerebral hemorrhage

Variables

Univariate analysis

Multivariate analysis

OR (95% CI)

P value

OR (95% CI)

P value

Age(y)

0.98 (0.94,1.03)

0.41

0.98(0.93,1.03)

0.98

Sex

   

0.55

  Female

1

 

1

 

  Male

0.89(0.29,2.64)

0.83

0.55(0.16,1.92)

 

BMI (kg/m2)

1.02(0.91,1.15)

0.71

1.02(0.89,1.18)

0.68

Diabetes (n,%)

 

0.38

 

0.30

  No

1

 

1

 

  Yes

0.39(0.05,3.18)

 

3.14(0.36,27.19)

 

Hypertension (n,%)

 

0.89

 

0.52

  No

1

 

1

 

  Yes

3.4(0.01,6.78)

 

1.45(0.53,3.21)

 

SBP (mmHg)

1.01(0.99,1.03)

0.33

0.98(0.96,1.01)

0.30

DBP (mmHg)

1.03(1.00,1.06)

0.03

1.15(0.86,1.23)

0.06

GCS

0.89(0.68,1.17)

0.41

0.89(0.66,1.19)

0.45

Affected side

 

0.96

 

0.64

  Left

1

 

1

 

  Right

0.98(0.35,2.78)

 

1.35(0.43,4.)

 

Hematoma volume (ml)

1.48(1.22,1.80)

0.001

1.47(1.11,1.94)

0.007

Therapy type

  Conservative medication

1

 

1

 

  Surgery

2.96(0.89,9.81)

0.08

3.42(0.95,12.39)

0.06

FMA-WH score at admission

0.67(0.56,0.79)

 < 0.001

0.78(0.63,0.97)

0.02

BMR score at admission

  I

1

 

1

 

  II

4.52(0.02,32.8)

0.98

1.25(0.81,3.04)

0.95

  III

6.31(0.97,14.1)

0.89

1.03(0.92,1.18)

0.16

  IV

1.36(0.12,2.35)

0.88

2.94(0.13,5.26)

0.86

  V

1.12(0.06,3.12)

0.91

1.05(0.38,1.42)

0.18

  VI

5.12(0.89,11.56)

0.95

3.24(0.62,10.09)

0.56

CAF (ng/mL)

8.18(3.37,19.86)

 < 0.001

6.21(0.89,23.46)

0.54

S100B (ng/L)

1.04(1.02,1.06)

 < 0.001

1.32(1.01,3.42)

0.04

NfL (pg/mL)

1.17(1.09,1.25)

 < 0.001

1.24(1.08,1.44)

0.003

  1. BMI Body mass index, VAS Visual analogue scale NDI Neck disability index, mJOA modified japanese orthopedic association, ROM Range of motion, SVA Sagittal vertical axis