Piatt Joseph H
Section of Neurosurgery, St. Christopher's Hospital for Children, Philadelphia, Pennsylvania 19134-1095, USA.
J Neurosurg Spine. 2006 Sep;5(3):210-6. doi: 10.3171/spi.2006.5.3.210.
This study was undertaken to determine whether a clinically useful rule could be formulated for identifying the presence of traumatic brain injury (TBI) in patients who are at exceptionally low risk of cervical spine injury.
The Pennsylvania Trauma Outcomes Study database was searched for cases of TBI in which the admission Glasgow Coma Scale (GCS) score was less than or equal to 8. Cases of cervical injury were identified based on diagnostic codes. Associations between cervical injury and various clinical variables were tested using chi-square analysis. The probability of cervical injury was modeled using logistic regression. Decision tree models were constructed. Statistical determinants of overlooked cervical injury were examined. The prevalence of cervical injury among 41,142 cases of TBI was 8%. Mechanism of injury, thoracolumbosacral (TLS) fracture, age, limb fracture, admission GCS score, hypotension, and facial fracture were associated with cervical injury and were incorporated into the following logistic regression model: probability = 1/(1 + exp[4.248 - 0.417 X mechanism -0.264 X age - 0.678 X TLS - 0.299 X limb - 0.218 X GCS - 0.231 X hypotension - 0.157 X facial]). The results of applying this model provided a rule for cervical spine clearance applicable to 28% of the cases with a negative predictive value (NPV) of 97.0%. Decision tree analysis yielded a rule applicable to 24% of the cases with an NPV of 98.2%. The prevalence of overlooked cervical injury in all individuals with severe TBI was 0.3%; the prevalence of overlooked cervical injury in patients with cervical injury was 3.9%. Overlooked cervical injury was less common in patients with associated TLS fractures (odds ratio 0.453, 95% confidence interval 0.245-0.837).
This analysis identified no acceptable rule to justify relaxing vigilance in the search for cervical injury in patients with severe TBI. Provider vigilance and consequent rates of overlooked cervical injury can be affected by environmental cues and presumably by other behavioral and organizational factors.
本研究旨在确定能否制定出一条临床实用规则,用于识别颈椎损伤风险极低的患者是否存在创伤性脑损伤(TBI)。
在宾夕法尼亚创伤结局研究数据库中搜索入院格拉斯哥昏迷量表(GCS)评分小于或等于8分的TBI病例。根据诊断编码确定颈椎损伤病例。使用卡方分析检验颈椎损伤与各种临床变量之间的关联。采用逻辑回归对颈椎损伤的概率进行建模。构建决策树模型。检查被漏诊颈椎损伤的统计决定因素。在41142例TBI病例中,颈椎损伤的患病率为8%。损伤机制、胸腰段骶骨(TLS)骨折、年龄、肢体骨折、入院GCS评分、低血压和面部骨折与颈椎损伤相关,并被纳入以下逻辑回归模型:概率 = 1 / (1 + exp[4.248 - 0.417×损伤机制 - 0.264×年龄 - 0.678×TLS骨折 - 0.299×肢体骨折 - 0.218×GCS评分 - 0.231×低血压 - 0.157×面部骨折])。应用该模型的结果提供了一条适用于28%病例的颈椎排除规则,阴性预测值(NPV)为97.0%。决策树分析得出一条适用于24%病例的规则,NPV为98.2%。所有重度TBI患者中被漏诊颈椎损伤的患病率为0.3%;颈椎损伤患者中被漏诊颈椎损伤的患病率为3.9%。合并TLS骨折的患者中被漏诊颈椎损伤的情况较少见(比值比0.453,95%置信区间0.245 - 0.8