| Literature DB >> 35588761 |
In-Suk Bae1, Byung Gwan Moon2, Hee In Kang1, Jae Hoon Kim1, Cheolsu Jwa1, Deok Ryeong Kim2.
Abstract
OBJECTIVE: We retrospectively analyzed patients with osteoporotic vertebral compression fracture (OVCF) undergoing vertebral augmentation to compare the Cobb angle changes in the supine and standing positions and the clinical outcomes.Entities:
Keywords: Cobb angle; Compression ratio; Osteoporotic vertebral compression fracture; Vertebral augmentation
Year: 2022 PMID: 35588761 PMCID: PMC9260559 DOI: 10.14245/ns.2143172.586
Source DB: PubMed Journal: Neurospine ISSN: 2586-6591
Fig. 1.Five lines (A–E) of the thoracolumbar vertebrae in xray radiographs were determined. The Cobb angle was measured using the angle between the superior endplate of the vertebral body above (line A) and the inferior endplate of the vertebral body below (line B) the fractured vertebral body. The length of the line (C, D, E) was used to calculate the compression ratio.
Demographic characteristics of the patients (n=249)
| Characteristic | Value |
|---|---|
| Age (yr) | 69.3 ± 5.6 |
| Male sex | 56 (22.5) |
| Body mass index (kg/m2) | 22.6 ± 3.1 |
| Bone mineral density | -3.1 ± 0.5 |
| Shape of fracture | |
| Wedge | 141 (56.6) |
| Biconcave | 67 (26.9) |
| Crush | 41 (16.5) |
| VAS preoperation | 7.4 ± 1.3 |
| VAS 1 month | 2.9 ± 1.2 |
| Cobb angle at standing (°) | 18.9 ± 5.7 |
| Cobb angle at supine (°) | 11.4 ± 3.7 |
| Compression ratio at standing (%) | 49.6 ± 7.2 |
| Compression ratio at supine (%) | 37.7 ± 5.6 |
Values are presented as mean±standard deviation or number (%).
VAS, visual analogue scale.
Fig. 2.A scatter plot with the linear regression line. Linear regression line showing the association between the difference in the Cobb angle and visual analogue scale (VAS) score after treatment (A) and difference in the compression ratio and VAS score after treatment (B).
Comparisons of patients’ variables according to the short-term clinical outcomes
| Variable | Favorable outcome (n=128) | Unfavorable outcome (n=121) | p-value |
|---|---|---|---|
| Age (yr) | 68.8 ± 5.2 | 69.9 ± 5.9 | 0.127 |
| Male sex | 34 (26.6) | 22 (18.2) | 0.152 |
| Body mass index (kg/m2) | 22.5 ± 3.1 | 22.8 ± 3.1 | 0.521 |
| Bone mineral density | -3.1 ± 0.5 | -3.1 ± 0.5 | 0.389 |
| VAS preoperation | 7.5 ± 1.2 | 7.4 ± 1.4 | 0.286 |
| VAS 1 month | 1.8 ± 1.1 | 4.2 ± 1.3 | < 0.001[ |
| Cobb angle - standing (°) | 20.3 ± 6.1 | 17.5 ± 4.8 | 0.001[ |
| Cobb angle - supine (°) | 11.1 ± 4.0 | 11.8 ± 3.3 | 0.107 |
| Difference in Cobb angle (%) | 45.7 ± 9.1 | 31.7 ± 11.2 | < 0.001[ |
| Compression ratio - standing (%) | 51.1 ± 6.0 | 48.1 ± 7.9 | 0.001[ |
| Compression ratio - supine (%) | 37.5 ± 4.9 | 38.0 ± 6.2 | 0.442 |
| Difference in compression ratio (%) | 26.3 ± 8.4 | 20.6 ± 7.0 | < 0.001[ |
Values are presented as mean±standard deviation or number (%).
VAS, visual analogue scale.
p<0.05, statistically significant differences.
Multivariate logistic regression analysis for predicting the short-term favorable outcomes after vertebral augmentation based on various predictive factors
| Variable | OR | 95% CI | p-value |
|---|---|---|---|
| Age | 0.95 | 0.89-1.02 | 0.149 |
| Sex | 2.27 | 0.95-5.42 | 0.065 |
| Bone mineral density | 0.48 | 0.22-1.04 | 0.063 |
| Difference in Cobb angle | 1.27 | 1.16-1.40 | < 0.001 |
| Difference in compression ratio | 1.12 | 1.06-1.17 | < 0.001 |
OR, odds ratio; CI, confidence interval.
Fig. 3.Receiver operating characteristic (ROC) curve to identify the optimal cutoff values of the differences in the Cobb angle (A) and compression ratio (B) for the prediction of the short-term favorable outcomes after vertebral augmentation. AUC, area under the curve.
A comparison of the patients’ variables according to the midterm clinical outcomes
| Variable | Favorable outcome (n=68) | Unfavorable outcome (n=58) | p-value |
|---|---|---|---|
| Age (yr) | 69.1 ± 5.8 | 70.3 ± 6.1 | 0.257 |
| Male sex | 22 (32.4) | 10 (17.2) | 0.082 |
| Body mass index (kg/m2) | 22.7 ± 3.3 | 22.9 ± 2.8 | 0.792 |
| Bone mineral density | -3.1 ± 0.5 | -3.2 ± 0.5 | 0.256 |
| Cobb angle at standing (°) | 20.7 ± 5.7 | 18.6 ± 5.0 | 0.030[ |
| Cobb angle at supine (°) | 11.8 ± 3.8 | 11.9 ± 3.5 | 0.846 |
| Difference in Cobb angle (%) | 42.9 ± 11.3 | 35.1 ± 12.4 | < 0.001[ |
| Compression ratio at standing (%) | 50.6 ± 5.3 | 52.7 ± 4.8 | 0.021[ |
| Compression ratio at supine (%) | 37.3 ± 3.5 | 40.8 ± 4.4 | < 0.001[ |
| Difference in compression ratio (%) | 25.6 ± 8.8 | 22.4 ± 6.7 | 0.021[ |
| Hammer fracture | 7 (10.3) | 14 (24.1) | 0.066 |
Values are presented as mean±standard deviation or number (%).
p<0.05, statistically significant differences.
Multivariate logistic regression analysis for predicting the midterm favorable outcomes after cement augmentation based on various predictive factors
| Variable | OR | 95% CI | p-value |
|---|---|---|---|
| Age | 0.94 | 0.88–1.02 | 0.099 |
| Sex | 2.41 | 0.91–6.40 | 0.078 |
| Bone mineral density | 0.38 | 0.23–1.05 | 0.081 |
| Difference of Cobb angle | 1.05 | 1.02–1.09 | < 0.001 |
| Difference of compression ratio | 0.63 | 0.37–1.07 | 0.087 |
OR, odds ratio; CI, confidence interval.
Fig. 4.Receiver operating characteristic (ROC) curve to identify the optimal cutoff values of the differences in the Cobb angle (A) and compression ratio (B) for the prediction of the midterm favorable outcomes after vertebral augmentation. AUC, area under the curve.
Fig. 5.Boxplots with dot plots of the differences in the Cobb angle (A) and compression ratio (B) classified according to the shape of the fracture.