Table 2 Stepwise backward regression of baseline characteristics to test for predictors of the presence of MS vs. sON.

From: Clinical and paraclinical characteristics of optic neuritis in the context of the McDonald criteria 2017

 

Variables

p

Odds ratio

95% confidence interval

Lower value

Upper value

Step 1a

Dyschromatopsia

0.071

0.509

0.244

1.059

Visual impairment

0.859

0.853

0.148

4.928

Retrobulbar pain

0.092

0.529

0.252

1.108

Age at presentation

0.343

0.982

0.947

1.019

Sex

0.472

0.761

0.362

1.601

Constant

0.485

2.388

  

Step 2a

Dyschromatopsia

0.066

0.505

0.244

1.046

Retrobulbar pain

0.093

0.534

0.256

1.110

Age at presentation

0.343

0.982

0.947

1.019

Sex

0.467

0.759

0.361

1.595

Constant

0.436

2.060

  

Step 3a

Dyschromatopsia

0.071

0.513

0.248

1.059

Retrobulbar pain

0.092

0.534

0.257

1.109

Age at presentation

0.317

0.982

0.946

1.018

Constant

0.687

1.326

  

Step 4a

Dyschromatopsia

0.068

0.510

0.248

1.052

Retrobulbar pain

0.115

0.559

0.272

1.152

Constant

0.237

0.701

  

Step 5a

Dyschromatopsia

0.021

0.441

0.220

0.885

 

Constant

0.020

0.548

  
  1. Results of a binary logistic model with conditional stepwise backward regression to identify the strongest predictors from the baseline characteristics regarding the presence of MS. Included were age, sex, as well as the symptoms visual impairment, dyschromatopsia and retrobulbar pain. MS, multiple sclerosis; sON, suspected optic neuritis.
  2. aVariables entered in step 1: dyschromatopsia, visual impairment, retrobulbar pain, age at presentation, sex.
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