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Table 4 Linear regression models

From: Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis

Model number

ModelR2

Parameter

Parameter estimate

PartialR2

P-value

1

0.008

Clusterin(T)

−1.12

0.008

0.25

2

0.061

Clusterin(T)

−1.85

0.020

0.06

Age

−0.01

0.029

0.02

Sex

0.24

0.023

0.05

3

0.008

Clusterin(F)

−0.92

0.008

0.25

4

0.063

Clusterin(F)

−1.64

0.022

0.05

Age

−0.01

0.028

0.03

Sex

0.26

0.026

0.03

5

0.018

Lubricin(L)

−15.03

0.018

0.08

6

0.075

Lubricin(L)

−20.96

0.033

0.01

Age

−0.01

0.030

0.02

Sex

0.24

0.024

0.04

7

0.009

Lubricin(T)

−7.15

0.009

0.22

8

0.059

Lubricin(T)

−10.43

0.018

0.07

Age

−0.01

0.030

0.02

Sex

0.21

0.019

0.07

9

0.011

Lumican(F)

−4.24

0.011

0.17

10

0.047

Lumican(F)

−3.15

0.006

0.31

Age

−0.01

0.018

0.07

Sex

0.19

0.015

0.10

11

0.009

Lumican(I)

−4.14

0.009

0.21

12

0.048

Lumican(I)

−3.61

0.007

0.28

Age

−0.01

0.018

0.08

Sex

0.20

0.017

0.08

13

0.079

Biomarker score1

−0.13*

0.038

0.01

Age

−0.01

0.031

0.02

Sex

0.28

0.030

0.02

  1. 1Used standardized beta estimates for Clusterin(F) and Lubricin(L) from models 4 and 6, respectively, to create a weighted sum of the two biomarkers. *One standard deviation of change in biomarker score.