Copyright
©The Author(s) 2025.
World J Orthop. Aug 18, 2025; 16(8): 108161
Published online Aug 18, 2025. doi: 10.5312/wjo.v16.i8.108161
Published online Aug 18, 2025. doi: 10.5312/wjo.v16.i8.108161
Table 2 Parameters of general logistic regression
Components of regression model | Regression coefficient | OR per unit change (95%CI) |
Intercept | -1.5227, P = 0.0537 | - |
Number of instrumented levels | 0.6215, P = 0.0076 | 1.8617 (1.1819-2.9324) |
Lumbosacral fusion | 2.3039, P = 0.0292 | 10.0136 (1.2655-79.2374) |
Residual deformity over 10° | 1.3772, P = 0.0028 | 3.9636 (1.6161-9.7213) |
Intermediate fixation | 0.8377, P = 0.0457 | 2.3110 (1.0162-5.2553) |
Anterior reconstruction | -1.2827, P = 0.0095 | 3.7491 (1.3725-3.6062) |
Radiodensity HU | -0.0142, P = 0.0029 | 0.9869 (0.9768-0.9951) |
Laminectomy | 0.8809, P = 0.0448 | 2.4130 (1.0210-5.7029) |
Anterior decompression performed | -0.0726, P = 0.9071 | 0.9299 (0.2729-3.1688) |
- Citation: Bokov AE, Kalinina SY, Kulagina DA, Lopyrina KS, Klinshov VV, Bulkin AA. Factors that influence long term instrumentation stability in patients with unstable thoracolumbar injuries. World J Orthop 2025; 16(8): 108161
- URL: https://www.wjgnet.com/2218-5836/full/v16/i8/108161.htm
- DOI: https://dx.doi.org/10.5312/wjo.v16.i8.108161