Skip to main content

Table 2 Multiple logistic regression model predicting the one-year mortality rate in ALS patients (N = 176)

From: Factors predicting one-year mortality in amyotrophic lateral sclerosis patients - data from a population-based registry

Parameter

Category

DF

Estimate b

Standard error(b)

Wald X2

p

OR(95% CI)

Intercept

 

1

-2.323

0.702

10.93

0.001

 

AGE

<=65

 

0.000

Reference

  

1

 

66-75

1

0.121

0.473

0.07

0.80

1.13 (0.45 - 2.85)

 

76 +

1

1.822

0.709

6.60

0.01

6.2 (1.5 - 25)

DOD

0-6

 

0.000

Reference

  

1

 

7-12

1

-0.866

0.523

2.74

0.10

0.42 (0.15 - 1.17)

 

13-24

1

-0.808

0.594

1.85

0.17

0.45 (0.14 - 1.4)

 

25+

1

-2.999

1.151

6.78

0.01

0.050 (0.005 - 0.48)

Diff_BMI

<1

 

0.000

Reference

  

1

 

1- < 2

1

0.227

0.591

0.15

0.70

1.26 (0.39 - 4.0)

 

> = 2

1

1.038

0.512

4.11

0.04

2.8 (1.04 - 7.7)

FRS

Quintile 1: 37-40

 

0.000

Reference

  

1

 

Quintile 2: 34-36

1

0.588

0.796

0.55

0.46

1.8 (0.38 - 8.6)

 

Quintile 3: 31-33

1

0.953

0.795

1.47

0.23

2.6 (0.55 - 12)

 

Quintile 4: 27-30

1

2.556

0.786

10.57

0.001

12.9 (2.8- 60)

 

Quintile 5: 00-26

1

3.520

0.823

18.28

<.0001

33.8 (6.7 - 170)

Testing the global null hypothesis: BETA= 0

Likelihood ratio test

 

11

  

87.67

<.0001

 

R 2

 

0.543

     
  1. Abbreviations: OR odds ratio, CI confidence interval, R 2 coefficient of determination.