Brett Benjamin L, Kuhn Andrew W, Yengo-Kahn Aaron M, Solomon Gary S, Zuckerman Scott L
Department of Psychology, Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
Vanderbilt Sports Concussion Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Arch Clin Neuropsychol. 2018 Dec 1;33(8):984-992. doi: 10.1093/arclin/acy006.
The empirical identification of risk factors associated with sport-related concussion (SRC) may improve the management of student-athletes. The current study attempted to identify and quantify bio-cognitive risk factors associated with sustaining a SRC.
Cross-sectional ambispective study; level of evidence, 3. Neurocognitive testing of 12,320 middle school, high school and collegiate athletes was completed at preseason baseline and post-SRC. Univariate and multivariable logistic regressions were used to determine which pre-injury variables accurately predicted the occurrence of SRC. A quantitative risk score for each variable was developed.
Five of 13 variables maintained significance in the multivariable model with the associated weighted point scores: SRC history (21), prior headache treatment (6), contact sport (5), youth level of play (7), and history of ADHD/LD (2). Six stratified groups were formed based on probability of SRC, which produced an area under the curve (AUC) of 0.71 (95% CI 0.69-0.72, p < .001). Though the model was a significant predictor of SRC (X2 = 1,112.75, p < .001), the effect size was small and accounted for only 16% of the overall variance.
An initial aggregate model of weighted bio-cognitive factors associated with increased odds of sustaining a SRC was developed. Previously validated factors were confirmed, yet a large source of variance remained unexplained. These findings emphasize the need to expand the host factors studied when assessing SRC risk, and that the existing, empirically based bio-cognitive factors do not adequately quantify the risk of SRC.
通过实证确定与运动相关脑震荡(SRC)相关的风险因素,可能会改善对学生运动员的管理。本研究试图识别并量化与发生SRC相关的生物认知风险因素。
横断面双前瞻性研究;证据等级为3级。对12320名初中、高中和大学运动员在季前基线和SRC后进行了神经认知测试。采用单变量和多变量逻辑回归来确定哪些伤前变量能够准确预测SRC的发生。为每个变量制定了定量风险评分。
13个变量中有5个在多变量模型中具有显著性,并伴有加权分数:SRC病史(21分)、既往头痛治疗史(6分)、接触性运动(5分)、青少年运动水平(7分)以及注意缺陷多动障碍/学习障碍病史(2分)。根据SRC发生概率形成了6个分层组,曲线下面积(AUC)为0.71(95%可信区间0.69 - 0.72,p <.001)。虽然该模型是SRC的显著预测指标(X2 = 1112.75,p <.001),但其效应量较小,仅占总方差的16%。
建立了一个与发生SRC几率增加相关的加权生物认知因素的初步综合模型。先前已验证的因素得到了证实,但仍有很大一部分方差无法解释。这些发现强调,在评估SRC风险时,需要扩大所研究的宿主因素范围,而且现有的基于实证的生物认知因素并不能充分量化SRC风险。