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胸腰椎爆裂骨折后路内固定融合术后椎体再塌陷的危险因素分析。

Risk factor analysis for predicting vertebral body re-collapse after posterior instrumented fusion in thoracolumbar burst fracture.

机构信息

Department of Orthopaedic Surgery, Soonchunhyang University Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.

Department of Orthopedic Surgery, Cheonan Hospital, 31 Soonchunhyang 6-gil, Dongnam-gu, Cheonan-si, 31151, Soonchunhyang University, Chungcheongnam-do, Republic of Korea.

出版信息

Spine J. 2018 Feb;18(2):285-293. doi: 10.1016/j.spinee.2017.07.168. Epub 2017 Jul 20.

Abstract

BACKGROUND CONTEXT

In the posterior instrumented fusion surgery for thoracolumbar (T-L) burst fracture, early postoperative re-collapse of well-reduced vertebral body fracture could induce critical complications such as correction loss, posttraumatic kyphosis, and metal failure, often leading to revision surgery. Furthermore, re-collapse is quite difficult to predict because of the variety of risk factors, and no widely accepted accurate prediction systems exist. Although load-sharing classification has been known to help to decide the need for additional anterior column support, this radiographic scoring system has several critical limitations.

PURPOSE

(1) To evaluate risk factors and predictors for postoperative re-collapse in T-L burst fractures. (2) Through the decision-making model, we aimed to predict re-collapse and prevent unnecessary additional anterior spinal surgery.

STUDY DESIGN

Retrospective comparative study.

PATIENT SAMPLE

Two-hundred and eight (104 men and 104 women) consecutive patients with T-L burst fracture who underwent posterior instrumented fusion were reviewed retrospectively. Burst fractures caused by high-energy trauma (fall from a height and motor vehicle accident) with a minimum 1-year follow-up were included. The average age at the time of surgery was 45.9 years (range, 15-79). With respect to the involved spinal level, 95 cases (45.6%) involved L1, 51 involved T12, 54 involved L2, and 8 involved T11. Mean fixation segments were 3.5 (range, 2-5). Pedicle screw instrumentation including fractured vertebra had been performed in 129 patients (62.3%).

OUTCOME MEASURES

Clinical data using self-report measures (visual analog scale score), radiographic measurements (plain radiograph, computed tomography, and magnetic resonance image), and functional measures using the Oswestry Disability Index were evaluated.

METHODS

Body height loss of fractured vertebra, body wedge angle, and Cobb angle were measured in serial plain radiographs. We assigned patients to the re-collapse group if their body height loss progressed greater than 20% at any follow-up time compared with immediate postoperative body height loss; we assigned the remaining patients to the well-maintained group. The chi-square test and t test of SPSS were used for comparison of differences between two groups and multiple logistic regression analysis for risk factor evaluation. Through the decision tree analysis of statistical package R, a decision-making model was composed, and a cutoff value of revealed risk factors and re-collapse rate of each subgroup were identified. The present study wassupported by the University College of Medicine Research Fund (university to which authors belong). There was no external funding source for this study. The authors have no conflict of interest to declare.

RESULTS

Re-collapse occurred in 31 of 208 patients (14.9%). In this group, age, the proportion of male gender, preoperative height loss, and preoperative wedge angle were significantly greater than the well-maintained group. Multivariable logistic regression analysis identified two independent risk factors: age (adjusted odds ratio 1.084, p=.002) and body height loss (adjusted odds ratio 1.065, p=.003). According to the decision-making tree, age (>43 years) was the most discriminating variable, andpreoperative body height loss (>54%) was the second. In this model, the re-collapse rate was zero in ages less than 43 years, and among those remaining, nearly 80% patients with greater than 54% of body height loss belonged to the re-collapse group.

CONCLUSIONS

The independent predictors of re-collapse after posterior instrumented fusion for T-L burst fracture were the age at operation (>43 years old) and preoperative body height loss (>54%). Careful assessment using our decision-making model could help to predict re-collapse and prevent unnecessary additional spinal surgery for anterior column support, especially in young patients.

摘要

背景

在胸腰椎(TL)爆裂骨折的后路器械融合手术后,即使骨折椎体得到了良好的复位,术后早期再塌陷也可能导致严重的并发症,如矫正丢失、创伤后后凸畸形和内固定失败,常常需要再次手术。此外,由于存在多种危险因素,再塌陷很难预测,而且目前还没有广泛接受的准确预测系统。虽然负载分担分类有助于决定是否需要额外的前柱支撑,但这种影像学评分系统存在几个关键的局限性。

目的

(1)评估 TL 爆裂骨折术后再塌陷的危险因素和预测因素。(2)通过决策模型预测再塌陷,防止不必要的额外前路脊柱手术。

研究设计

回顾性对比研究。

患者样本

回顾性分析了 208 例(104 例男性和 104 例女性)接受后路器械融合治疗的 TL 爆裂骨折患者。纳入了由高能量创伤(高处坠落和机动车事故)引起的爆裂骨折,且随访时间至少为 1 年。手术时的平均年龄为 45.9 岁(范围 15-79 岁)。就受累脊柱水平而言,95 例(45.6%)累及 L1,51 例累及 T12,54 例累及 L2,8 例累及 T11。平均固定节段为 3.5 个(范围 2-5)。129 例患者(62.3%)接受了经皮椎弓根螺钉内固定术,包括骨折椎体。

结果

31 例患者(14.9%)出现再塌陷。在这些患者中,年龄、术前身高损失、术前楔形角和 Cobb 角均大于术后即刻。我们将患者分为再塌陷组,如果他们在任何随访时间的身高损失比术后即刻的身高损失增加超过 20%;其余患者被归入维持良好组。使用 SPSS 的卡方检验和 t 检验进行两组间差异比较,使用多变量逻辑回归分析进行危险因素评估。通过统计软件 R 的决策树分析,构建了一个决策模型,并确定了每个亚组的风险因素和再塌陷率的截断值。本研究得到大学医学院研究基金(作者所属大学)的支持。本研究没有外部资金来源。作者没有利益冲突需要申报。

结论

后路器械融合治疗 TL 爆裂骨折后再塌陷的独立预测因素是手术时的年龄(>43 岁)和术前的身高损失(>54%)。使用我们的决策模型进行仔细评估可以帮助预测再塌陷,并防止因前柱支撑而进行不必要的额外脊柱手术,特别是在年轻患者中。

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