| Literature DB >> 26284373 |
Jieliang Shen1, Linfei Xu2, Baolong Zhang2, Zhenming Hu1.
Abstract
BACKGROUND: The management of thoracolumbar (TL) burst fractures is still controversial. The thoracolumbar injury classification and severity score (TLICS) algorithm is now widely used to guide clinical decision making, however, in clinical practice, we come to realize that TLICS also has its limitations for treating patients with total scores less than 4, for which conservative treatment may not be optimal in all cases.Entities:
Mesh:
Year: 2015 PMID: 26284373 PMCID: PMC4540286 DOI: 10.1371/journal.pone.0135735
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Thoracolumbar Injury Classifciation and Severity Score (TLICS).
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| Compression | 1 |
| Burst | +1 |
| Translational/rotational | 3 |
| Distraction | 4 |
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| Intact | 0 |
| Nerve root | 2 |
| Cord, conus medullaris | 2 (complete) |
| 3 (incomplete) | |
| Cauda equina | 3 |
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| Intact | 0 |
| Suspected/indeterminate | 2 |
| Injured | 3 |
Total score ≤3 for nonoperative intervention, 4 for nonoperative or operative intervention, and ≥5 for operative intervention.
Fig 1The kyphotic angle (KA) is measured by using the Cobb angle between the superior endplate of the intact vertebra above and the inferior endplate of the intact vertebra below.
The percentages of loss of vertebral body height (LOVBH) and interpedicular distance (IPD) are measured by comparing the anterior body height and IPD with the mean of similar values obtained from the vertebrae immediately above and below. KA = Cobb angle; LOVBH = [(A1 + A2)- 2A0 / (A1 + A2)] × 100%; IPD = [2B0 - (B1 + B2) / (B1 + B2)] × 100%.
Fig 2Canal compromise (CC) is calculated as a ratio of the canal area of the injured level to the average of that of the two adjacent uninjured segments.
CC = [(C1 + C2)- 2C0 / (C1 + C2)] × 100%.
Patient Demographic Data.
| Nonoperative group | Operative group | P value | |
|---|---|---|---|
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| 104 | 25 | |
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| 0.787 | ||
| Male | 72 | 18 | |
| Female | 32 | 7 | |
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| 37.1 ± 8.2 | 44.2 ± 10.8 | <0.001 |
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| T10 | 14 | 4 | |
| T11 | 21 | 6 | |
| T12 | 32 | 7 | |
| L1 | 27 | 6 | |
| L2 | 10 | 2 | |
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| Fall from height | 52 | 11 | |
| Traffic accidents | 31 | 7 | |
| Blunt trauma | 18 | 7 | |
| Sports | 1 | 2 | |
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| 3.6 ± 1.3 | 6.5 ± 1.9 | <0.001 |
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| 36.0 ± 10.2 | 38.8 ± 13.9 | 0.254 |
Data are presented median ± standard deviation.
aSignificant difference between the nonoperative and operative groups.
bNo significant difference between the nonoperative and operative groups.
Radiologic Results Analysis.
| Nonoperative | Operative | P value | |
|---|---|---|---|
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| 11.2 ± 6.6% | 29.7 ± 5.5% | <0.001 |
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| 25.3 ± 8.7% | 28.0 ± 9.7% | 0.165 |
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| 29.4 ± 7.7% | 31.5 ± 7.3% | 0.222 |
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| 11.3 ± 4.2° | 22.7 ± 8.3° | 0.012 |
Data are presented as median ± standard deviation.
aSignificant difference between the nonoperative and operative groups.
bNo significant difference between the nonoperative and operative groups.
Binary Logistic Regression Analysis.
| Odds ratio | 95% CI | P value | |
|---|---|---|---|
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| 1.140 | 0.991 1.312 | 0.068 |
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| 2.981 | 1.103 8.059 | 0.031 |
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| 1.504 | 1.099 2.058 | 0.011 |
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| 1.205 | 0.965 1.504 | 0.099 |
aNo significant difference between the nonoperative and operative groups.
bSignificant difference between the nonoperative and operative groups.