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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.