Risk factors for dural tears in patients with thoracolumbar burst fracture and their predictive efficacy
10.3760/cma.j.cn501098-20250401-00183
- VernacularTitle:胸腰椎爆裂骨折患者并发硬膜囊撕裂的危险因素及其预测效能
- Author:
Kun ZHAO
1
;
Jia LIU
;
Kewei WEI
;
Geng XU
;
Jiayue HAN
;
Mengdi QI
Author Information
1. 天津市第五中心医院（北京大学滨海医院）放射科，天津 300450
- Publication Type:Journal Article
- Keywords:
Spinal fractures;
Dural mater, injuries;
Thoracic vertebrae;
Lumbar vertebrae;
Risk factors
- From:
Chinese Journal of Trauma
2025;41(6):542-548
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the risk factors for dural tears in patients with thoracolumbar burst fracture (TLBF) and their predictive efficacy.Methods:A retrospective cohort study was conducted to analyze the clinical data of 135 TLBF patients admitted to Tianjin Fifth Central Hospital from March 2020 to February 2025, including 83 males and 52 females, aged 16-65 years [41(31, 50)years]. Among them, 31 patients had thoracic fracture and 104 lumbar fracture. The patients were divided into dural tear group ( n=82) and dural intact group ( n=53) based on the presence of dural tear. The following data of the two groups were collected including gender, age, underlying diseases, body mass index (BMI), bone density T-score, cause of injury, AO fracture classification, distribution of injured vertebrae, vertical laminar fracture (VLF) classification, radiological parameters (pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate), and American Spinal Injury Association (ASIA) impairment scale. Univariate analysis and multivariate Logistic regression analysis were conducted to assess and identify the independent risk factors for dural tears in TLBF patients. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the predictive efficacy of each independent risk factor. Results:Univariate analysis showed statistically significant differences in VLF classification, pedicle spacing, vertebral canal area, sagittal diameter of the vertebral canal, vertebral compression rate, and ASIA impairment scale between the two groups ( P<0.05). Multivariate Logistic regression analysis revealed that VLF classification ( OR=4.16, 95% CI 1.03, 11.46, P<0.05), pedicle spacing ( OR=1.08, 95% CI 0.81, 1.16, P<0.05), and ASIA impairment scale ( OR=3.06, 95% CI 2.00, 8.48, P<0.01) were significantly associated with dural tears in TLBF patients. ROC curve analysis showed that VLF classification (AUC=0.86, 95% CI 0.62, 0.95), pedicle spacing (AUC=0.86, 95% CI 0.77, 1.00), and ASIA impairment scale (AUC=0.76, 95% CI 0.74, 0.97) had relatively high predictive efficacy for dural tear. The combination of VLF classification and pedicle spacing had the highest predictive efficacy (AUC=0.89, 95% CI 0.78, 1.01). Conclusions:VLF classification, pedicle spacing, and ASIA impairment scale are independent risk factors for dural tears in TLBF patients. VLF classification and pedicle spacing have relatively high independent predictive efficacy and their combination can further improve the predictive efficacy.
