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Table 2 Multivariate binary logistic regression analysis for predictors of osteoarthritis progression

From: Novel nomogram for predicting the progression of osteoarthritis based on 3D-MRI bone shape: data from the FNIH OA biomarkers consortium

Time

Intercept and variable

β

OR

95% CI.low

95% CI.upp

p-value

Baseline

Intercept

0.1749

   

0.856

KL2

-0.4584

0.6323

0.3705

1.0790

0.093

KL3

-0.1662

0.8468

0.4711

1.5221

0.578

Age, year

0.0158

1.0159

0.9965

1.0356

0.108

Sex, female

-0.3020

0.7393

0.5157

1.0601

0.100

Race 0, Other Non-white

Reference

Reference

Reference

Reference

Reference

Race 1, White or Caucasian

-0.6816

0.5058

0.1276

2.0050

0.332

Race 2, Black or African American

-1.2803

0.2779

0.0671

1.1507

0.077

Race 3, Asian

-0.5724

0.5642

0.0539

5.9064

0.633

Tibia OA Vector

-0.1646

0.8483

0.7268

0.9901

0.037

Patella OA Vector

-0.1748

0.8380

0.749

0.9375

0.002

24 m

Intercept

-1.4507

   

0.143

Age, year

0.0295

1.0299

1.0093

1.0509

0.004

Sex, female

-0.8186

0.4422

0.3039

0.6434

0.000

Race 0, Other Non-white

Reference

Reference

Reference

Reference

Reference

Race 1, White or Caucasian

-0.6009

0.5483

0.1308

2.2989

0.411

Race 2, Black or African American

-1.1677

0.3111

0.0702

1.3784

0.124

Race 3, Asian

-0.9037

0.4039

0.039

4.1849

0.447

Femur OA Vector change24

-2.6689

0.0693

0.0315

0.1528

0.000

Tibia OA Vector change24

-1.0035

0.3666

0.2216

0.6066

0.0001