The association between subgroups of MRI findings identified with latent class analysis and low back pain in 40-year-old Danes

BMC Musculoskeletal Disorders
Rikke K JensenPer Kjaer

Abstract

Research into the clinical importance of spinal MRI findings in patients with low back pain (LBP) has primarily focused on single imaging findings, such as Modic changes or disc degeneration, and found only weak associations with the presence of pain. However, numerous MRI findings almost always co-exist in the lumbar spine and are often present at more than one lumbar level. It is possible that multiple MRI findings are more strongly associated with LBP than single MRI findings. Latent Class Analysis is a statistical method that has recently been tested and found useful for identifying latent classes (subgroups) of MRI findings within multivariable datasets. The purpose of this study was to investigate the association between subgroups of MRI findings and the presence of LBP in people from the general population. To identify subgroups of lumbar MRI findings with potential clinical relevance, Latent Class Analysis was initially performed on a clinical dataset of 631 patients seeking care for LBP. Subsequently, 412 participants in a general population cohort (the 'Backs on Funen' project) were statistically allocated to those existing subgroups by Latent Class Analysis, matching their MRI findings at a segmental level. The subgr...Continue Reading

References

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Jul 20, 2010·European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society·Marienke van MiddelkoopMaurits W van Tulder
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Citations

Feb 28, 2019·Journal of Medical Genetics·Maxim FreidinMinna Männikkö
Sep 3, 2020·Global Spine Journal·Peter Muhareb UdbyMikkel Østerheden Andersen
Mar 28, 2019·The Journal of Orthopaedic and Sports Physical Therapy·Rebecca J CrawfordJames M Elliott

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