4.5 Article

Factors associated with low back pain in patients with lumbar spinal stenosis: a cross-sectional study

Journal

BMC MUSCULOSKELETAL DISORDERS
Volume 23, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12891-022-05483-7

Keywords

Lumbar spinal stenosis; Low back pain; Spinopelvic alignment; Sagittal vertical axis; Pelvic incidence-lumbar lordosis; Magnetic resonance imaging; T2 mapping

Funding

  1. Yuasa memorial Foundation

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This study analysed the factors associated with low back pain (LBP) in patients with symptomatic lumbar spinal stenosis (SLSS). The results revealed that sagittal vertical axis (SVA) and pelvic incidence-lumbar lordosis (PI-LL) were significant predictors for LBP in SLSS.
Background Low back pain (LBP) is a major symptom of symptomatic lumbar spinal stenosis (SLSS). It is important to assess LBP in patients with SLSS to develop better treatment. This study aimed to analyse the factors associated with LBP in patients with SLSS. Methods This cross-sectional study included consecutive patients with SLSS aged between 51 and 79 years who had symptoms in one or both the legs, with and without LBP. The participants were classified into two groups: the high group (LBP visual analogue scale [VAS] score >= 30 mm) and the low group (LBP VAS score < 30 mm). We performed multiple logistic regression analysis with the high and low groups as dependent variables, and a receiver operating characteristic (ROC) analysis. Results A total of 80 patients with LSS were included (35 men and 45 women; mean age 64.5 years), with 47 and 30 patients in the high and low groups, respectively. Multivariate logistic regression analysis revealed that the sagittal vertical axis (SVA; + 10 mm; odds ratio, 1.331; 95% confidence interval, 1.051 - 1.660) and pelvic incidence-lumbar lordosis (PI-LL; + 1 degrees; odds ratio, 1.065; 95% confidence interval, 1.019-1.168) were significantly associated with LBP. A receiver operating characteristic analysis revealed cut-off values of 47.0 mm of SVA and 30.5 degrees of PI-LL, respectively. Conclusion Our results indicated that SVA and PI-LL were significant predictors for LBP in SLSS. It is suggested that these parameters should be taken into consideration when assessing LBP in patients with SLSS.

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