Department of Kinesiology, University of Georgia, Athens.
Department of Kinesiology and Recreation Administration, Humboldt University, Arcata, CA.
J Athl Train. 2023 Feb 1;58(2):97-105. doi: 10.4085/1062-6050-0063.21.
The King-Devick (K-D) test is used to identify oculomotor impairment after concussion. However, the diagnostic accuracy of the K-D test over time has not been evaluated.
To (1) examine the sensitivity and specificity of the K-D test at 0 to 6 hours postinjury, 24 to 48 hours postinjury, the beginning of a return-to-play (RTP) protocol (asymptomatic), unrestricted RTP, and 6 months postconcussion and (2) compare outcomes between athletes with and those without concussion across confounding factors (sex, age, sport contact level, academic year, learning disorder, attention-deficit/hyperactivity disorder, migraine history, concussion history, and test administration mode).
Retrospective, cross-sectional design.
Multiple institutions in the Concussion Assessment, Research and Education Consortium.
A total of 320 athletes with a concussion (162 men, 158 women; age = 19.80 ± 1.41 years) were compared with 1239 total collegiate athletes without a concussion (646 men, 593 women; age = 20.31 ± 1.18 years).
MAIN OUTCOME MEASURE(S): We calculated the K-D test time difference (in seconds) by subtracting the baseline from the most recent time. Receiver operator characteristic (ROC) curve and area under the curve (AUC) analyses were used to determine the diagnostic accuracy across time points. We identified cutoff scores and corresponding specificity at both the 80% and 70% sensitivity levels. We repeated ROC with AUC analyses using confounding factors.
The K-D test predicted positive results at the 0- to 6-hour (AUC = 0.724, P < .001), 24- to 48-hour (AUC = 0.701, P < .001), RTP (AUC = 0.640, P < .001), and 6-month postconcussion (AUC = 0.615, P < .001) tim points but not at the asymptomatic time point (AUC = 0.513, P = .497). The 0- to 6-hour and 24- to 48-hour time points yielded 80% sensitivity cutoff scores of -2.6 and -3.2 seconds (ie, faster), respectively, but 46% and 41% specificity, respectively. The K-D test had a better AUC when administered using an iPad (AUC = 0.800, 95% CI = 0.747, 0.854) compared with the spiral-bound card system (AUC = 0.646, 95% CI = 0.600, 0.692; P < .001).
The diagnostic accuracy of the K-D test was greatest at 0 to 6 hours and 24 to 48 hours postconcussion but declined across subsequent postconcussion time points. The AUCs did not differentiate between groups across confounding factors. Our negative cutoff scores indicated that practice effects contributed to improved performance, requiring athletes to outperform their baseline scores.
King-Devick(K-D)测试用于识别脑震荡后的眼球运动障碍。然而,K-D 测试在不同时间点的诊断准确性尚未得到评估。
(1)检测 K-D 测试在受伤后 0 至 6 小时、24 至 48 小时、开始重返运动(RTP)协议(无症状)、不受限制的 RTP 以及脑震荡后 6 个月的敏感性和特异性;(2)比较运动员之间和无脑震荡运动员之间的结果,包括混杂因素(性别、年龄、运动接触水平、学年、学习障碍、注意力缺陷/多动障碍、偏头痛史、脑震荡史和测试管理模式)。
回顾性、横断面设计。
多个机构在脑震荡评估、研究和教育联盟中。
共有 320 名脑震荡运动员(162 名男性,158 名女性;年龄=19.80±1.41 岁)与 1239 名无脑震荡的大学生运动员进行了比较(646 名男性,593 名女性;年龄=20.31±1.18 岁)。
我们通过从最近时间减去基线来计算 K-D 测试时间差(以秒为单位)。使用接收器工作特征(ROC)曲线和曲线下面积(AUC)分析来确定各时间点的诊断准确性。我们确定了在 80%和 70%敏感性水平下的截断分数和相应的特异性。我们使用混杂因素重复了 ROC 和 AUC 分析。
K-D 测试在受伤后 0 至 6 小时(AUC=0.724,P<0.001)、24 至 48 小时(AUC=0.701,P<0.001)、RTP(AUC=0.640,P<0.001)和脑震荡后 6 个月(AUC=0.615,P<0.001)时间点预测阳性结果,但在无症状时间点(AUC=0.513,P=0.497)则不然。0 至 6 小时和 24 至 48 小时时间点的 80%敏感性截断分数分别为-2.6 和-3.2 秒(即更快),但特异性分别为 46%和 41%。与螺旋装订卡系统(AUC=0.646,95%CI=0.600,0.692;P<0.001)相比,K-D 测试使用 iPad 进行时具有更好的 AUC(AUC=0.800,95%CI=0.747,0.854)。
K-D 测试在脑震荡后 0 至 6 小时和 24 至 48 小时时的诊断准确性最高,但在随后的脑震荡后时间点逐渐下降。AUC 不能在混杂因素之间区分组间差异。我们的阴性截断分数表明,练习效应导致了表现的提高,要求运动员超越他们的基线分数。