Patient demographics and MRI-based measurements predict redundant nerve roots in lumbar spinal stenosis: a retrospective database cohort comparison

Table 3 Results of the binomial logistic regression models

Model	Independent variables included	Negelkerke R²	Odds ratio (OR)	[95% C.I.]	p-value
1	Gender (Female)	.00	1.26	[0.78 to 2.03]	p = 0.3
2	Age⁽¹⁾	.02	1.06	[1.01 to 1.12]	p = 0.01
3	Body height⁽²⁾	.02	1.09	[1.01 to 1.16]	p = 0.01
4	LLS⁽³⁾	.16	1.36	[1.23 to 1.52]	p < 0.001
5	SLLS⁽⁴⁾	.13	1.34	[1.20 to 1.50]	p < 0.001
6	rLLS⁽⁵⁾	.17	2.26	[1.76 to 2.95]	p < 0.001
7	rSLLS⁽⁶⁾	.14	2.17	[1.63 to 2.90]	p < 0.001
8	LSAD	.01	1.08	[0.99 to 1.19]	p = 0.07
9	LSS-level⁽⁷⁾	.05	2.59	[1.48 to 4.55]	p = 0.001
10	LSS-grade	.11			p < 0.001
	grade C⁽⁸⁾		5.86	[1.30 to 26.42]	p = 0.02
	grade D⁽⁹⁾		18.42	[3.82 to 88.8]	p < 0.001

OR for group membership in RNR+, LSS Lumbar Spinal Stenosis, LLS Length of Lumbar Spine
⁽¹⁾OR for a 2 years increase in patients age
⁽²⁾OR for a 3 cm decrease in body height
⁽³⁾OR for a 5 mm decrease in LLS
⁽⁴⁾OR for a 5 mm decrease in SLLS
⁽⁵⁾OR for a 1% decrease in rLLS
⁽⁶⁾OR for a 1% decrease in rSLLS
⁽⁷⁾OR for patients classified as LSS-level 2 + 3; reference were patients classified as LSS-level 1
⁽⁸⁾OR for patients classified as LSS-grade C; reference were patients classified as LSS-grade A + B
⁽⁹⁾OR for patients classified as LSS-grade D, reference were patients classified as LSS-grade A + B

ISSN: 1471-2474