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Table 4 Multivariable logistic regression model, predictors for recommendation of knee arthroplasty by the second opinion physician

From: Effects of a medical second opinion programme on patients’ decision for or against knee arthroplasty and their satisfaction with the programme

Criterion

Unadjusted odds ratio

Multivariable logistic regression

Adjusted odds ratiod

95% CI

p-value

Kellgren-Lawrence scorea (3 or 4 versus 1 or 2)

16.09

17.24

3.65

81.38

0.001

KOOSb score – pain

1.01

0.99

0.95

1.02

0.486

KOOSb score – quality of life

1.03

1.04

1.00

1.08

0.041

Exercise therapyc

1.89

1.88

0.63

5.57

0.258

Pain medication (reference: none)

    

0.089

 On demand

0.73

0.38

0.12

1.21

0.101

 Regular

1.50

1.10

0.31

3.91

0.873

Age – yr

1.02

1.03

0.98

1.08

0.234

Sex (reference: male)

1.09

1.02

0.41

2.53

0.975

Nagelkerkes R2: 0.346e

     
  1. aKellgren-Lawrence score: range from 0 to 4, with higher scores indicating more severe disease. Scores of 1 and 2 as well as scores of 3 and 4 were combined
  2. bKOOS: Knee Injury and Osteoarthritis Outcome Score, scores ranging from 0 (worst) to 100 (best)
  3. cExercise therapy: supervised strength or endurance training (individually or in group), home-based strength or endurance training or comprehensive rehabilitation intervention
  4. dAdjusted odds ratio, meaning: Kellgren-Lawrence scorea: 17.24 times higher probability for a recommendation of grade 3 or 4 than of grade 1 or 2; KOOS Quality of Life: Probability of a recommendation increases by 4% per unit increase;
  5. eNagelkerkes R2: The explained variance of the model was 34.6%