Predictive value of neuromarkers supported by a set of clinical criteria in patients with mild traumatic brain injury: S100B protein and neuron-specific enolase on trial

被引:49
|
作者
Wolf, Harald [1 ]
Frantal, Sophie [2 ]
Pajenda, Gholam S. [1 ]
Salameh, Olivia [1 ]
Widhalm, Harald [1 ]
Hajdu, Stefan [1 ]
Sarahrudi, Kambiz [1 ]
机构
[1] Med Univ Vienna, Dept Trauma Surg, AKH Wien, A-1090 Vienna, Austria
[2] Med Univ Vienna, Dept Med Stat, A-1090 Vienna, Austria
关键词
computed tomography scanning; adult brain injury; assessment tool; guideline; neuromarker; traumatic brain injury; MINOR HEAD-INJURY; FIBRILLARY ACIDIC PROTEIN; COMPUTED-TOMOGRAPHY; INTRACRANIAL LESIONS; SCREENING TOOL; SERUM-LEVELS; S-100B; MARKERS; DAMAGE; ANTICOAGULATION;
D O I
10.3171/2013.1.JNS121181
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Object. The role of the neuromarkers S100B protein and neuron-specific enolase (NSE) in minor head injury is well established. Moreover, there are sensitive decision rules available in the literature to identify clinically important brain lesions. However, it is not clear if using the biomarkers has an influence on the predictability of the decision rule. The purpose of this study was to determine if a set of preclinical and clinical parameters combined with 2 neuromarker levels could serve as reliable guidance for accurate diagnosis. Methods. Prospective evaluation of a cohort of head trauma patients with Glasgow Coma Scale scores of 13-15 was performed at an academic, Level I trauma center. Blood samples and cranial CT studies were obtained for all patients within 3 hours after injury. The hypothesis of the study was whether the combination of an increase of S100B and NSE levels in serum and other defined risk factors are associated with a pathological finding on CT. A forward stepwise logistic regression model was used. Results. The study included 107 head trauma patients with a mean age of 59 +/- 23 years. Twenty-five patients (23.4%) had traumatic lesions on CT. Eight patients underwent craniotomy. The analysis provided a model with good overall accuracy for discriminating cases with clinically important brain injury, including the 6 variables of S100B, NSE, nausea, amnesia, vomiting, and loss of consciousness. The area under the curve (AUC) was 0.88 (0.83-0.93). The receiver operating characteristic curve plots detecting clinically important brain injury for the single variables of S100B and NSE showed an AUC of 0.63 and 0.64, respectively. Conclusions. The integration of the neuromarker panel as part of a diagnostic rule including the high-risk factors of nausea, vomiting, amnesia, and loss of consciousness is safe and reliable in determining a diagnosis, pending the availability of more brain-specific neuromarkers.
引用
收藏
页码:1298 / 1303
页数:6
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