Raja Rampersaud Y, Fisher Charles, Wilsey Jared, Arnold Paul, Anand Neel, Bono Chris M, Dailey Andrew T, Dvorak Marcel, Fehlings Michael G, Harrop James S, Oner F C, Vaccaro Alexander R
Division of Orthopaedic and Neurosurgery, University of Toronto, Toronto, Ontario, Canada.
J Spinal Disord Tech. 2006 Oct;19(7):477-82. doi: 10.1097/01.bsd.0000211237.14211.21.
Considerable variability exists in the management of thoracolumbar (TL) spine injuries. Although there are many influences, one significant factor may be the treating surgeon's specialty and training (ie, orthopedic surgery vs. neurosurgery). Our objective was to assess the agreement between spinal orthopedic and neurologic surgeons in rating the severity of TL spine injuries with a new treatment algorithm. This information could be important in establishing consensus-based protocols for managing these challenging injuries.
Twenty-eight spinal surgeons (8 neurosurgeons and 20 orthopedic surgeons) reviewed 56 TL injury case histories. Each case was classified and scored according to the TL injury severity score (TLISS). The case histories were reordered and the physicians repeated the exercise 3 months later. At both intervals the surgeons were asked if they agreed with the final treatment recommendation of the TLISS algorithm. The reliability and decision validity of the TLISS was compared.
Between-group interrater reliability was similar to within group reliabilities. Intrarater reliability was also similar between groups. The between speciality interrater reliability of the TLISS management recommendation was moderate (74% agreement, kappa=0.532). Orthopedic and neurosurgeons agreed with the TLISS management recommendation 91.4% and 94.4% of the time, respectively.
The TLISS demonstrated good reliability in terms of intraobserver and interobserver agreement on the algorithmic treatment recommendations. The recommendation for operation seems to be consistent between fellowship-trained orthopedic and neurosurgical spine surgeons. This type of classification system may reduce the existing variability and initial management decision for treatment of TL injuries.
胸腰段(TL)脊柱损伤的治疗存在很大差异。尽管有多种影响因素,但一个重要因素可能是主治外科医生的专业和培训背景(即骨科手术与神经外科手术)。我们的目的是使用一种新的治疗算法评估脊柱骨科医生和神经外科医生在评定TL脊柱损伤严重程度方面的一致性。这些信息对于制定基于共识的方案来处理这些具有挑战性的损伤可能很重要。
28名脊柱外科医生(8名神经外科医生和20名骨科医生)回顾了56例TL损伤病例史。每个病例根据TL损伤严重程度评分(TLISS)进行分类和评分。病例史重新排序后,医生在3个月后重复此项操作。在两个时间点,都询问医生是否同意TLISS算法的最终治疗建议。比较了TLISS的可靠性和决策有效性。
组间评分者间信度与组内信度相似。组间评分者内信度也相似。TLISS管理建议的专业间评分者间信度中等(一致性为74%,kappa=0.532)。骨科医生和神经外科医生分别在91.4%和94.4%的时间内同意TLISS管理建议。
TLISS在观察者内和观察者间对算法治疗建议的一致性方面表现出良好的可靠性。对于经过专科培训的骨科和神经外科脊柱外科医生来说,手术建议似乎是一致的。这种分类系统可能会减少TL损伤治疗中现有的差异和初始管理决策。