Multiple linear regression - assessment of changes in radiographic progression (mJSW) depending on the RG and RPs.

Table 7: Multiple linear regression - assessment of changes in radiographic progression (mJSW) depending on the RG and RPs.

Regression equation	Adjusted R^2	b1	SD_b1	95% CI_b1	b2	SD_b2	95% CI_b2
JSW12 = b1.Grade + bo	0.808	- 0.926	0.059	- 1.044; - 0.809
JSW12 = b1.Grade + b2.Pattern + bo	0.871	- 0.926	0.048	- 1.023; -0.830	-0.160	0.029	- 0.219; - 0.101
JSW24 = b1.Grade + bo	0.789	- 1.113	0.075	- 1.263; -0.963
JSW24 = b1.Grade + b2.Pattern + bo	0.911	- 1.113	0.048	- 1.210; -1.016	-0.267	0.030	- 0.327; - 0.208
JSW36 = b1.Grade + bo	0.695	- 1.413	0.121	- 1.656; -1.170
JSW36 = b1.Grade + b2.Pattern + bo	0.892	- 1.413	0.072	- 1.558; - 1.268	-0.457	0.044	- 0.546; - 0.369

SD - Standard Deviation; 95% CI - 95% Confidence Interval; Grade -radiographic grade according to Kellgren-Lawrence (major dependent variable)with 2 levels of changes - K/L-II and K/L-III; Pattern - radiographic pattern (minor dependent variable) with 3 levels of changes - ‘H’; ‘I’; ‘A’.