A new logistic regression model for the detection of chronic low back pain, based on a case-control study in the
Pilar Alberola-Zorrilla1, Ana Queralt2, Maria Ángeles Pamblanco-Valero1,3
1Research Group on the Clinical Anatomy of the Musculoskeletal System (GIACAL), Department of Anatomy and Human Embryology. Universitat de València, València, Spain.
Study Design:
Case-control study comparing healthy individuals and patients with chronic non-specific low back pain (NSLBP).
Purpose:
To compare detailed spinal motion and muscle activity patterns-recorded simultaneously using non-invasive methods-between chronic NSLBP patients and pain-free individuals, and to identify the most clinically useful variables for discriminating between the two groups.
Overview Of Literature:
Motion analysis and electromyography (EMG) have been widely used to differentiate NSLBP patients from pain-free individuals. However, due to methodological heterogeneity across studies, the results have been inconsistent, limiting the clinical applicability of the findings.
Methods:
Forty-three pain-free controls and 43 patients with chronic NSLBP were enrolled. Using non-invasive techniques, synchronized lumbar spine motion and erector spinae (ES) EMG activity were recorded during standardized trunk flexion-extension cycles.
Results:
Several variables differed significantly between the two groups. Logistic regression identified two variables with significant odds ratios for the presence of chronic NSLBP: time spent with the spine flexed beyond 90% of its maximum range (odds ratio, 0.92; 95% confidence interval, 0.86-0.99) and the ES relaxation ratio (odds ratio, 1.08; 95% confidence interval, 1.04-1.13).
Conclusions:
Individuals with and without chronic NSLBP exhibit distinct spinal motion and ES activity patterns during trunk flexionextension. These differences-specifically the time of maximum lumbar flexion and the relaxation ratio-can be objectively and easily measured. Their assessment may offer valuable clinical utility for the diagnosis and follow-up of NSLBP patients.
Related Concept Videos
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
01:11Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
01:25Statistical Methods for Analyzing Epidemiological Data