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使用前庭眼动筛查(VOMS)工具的变化分数来识别青少年脑震荡。

Using change scores on the vestibular ocular motor screening (VOMS) tool to identify concussion in adolescents.

机构信息

Department of Health, Human Performance and Recreation/Office for Sport Concussion Research, University of Arkansas, Fayetteville, Arkansas, USA.

Department of Orthopaedic Surgery, UPMC Sports Medicine Concussion Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

Appl Neuropsychol Child. 2022 Oct-Dec;11(4):591-597. doi: 10.1080/21622965.2021.1911806. Epub 2021 Apr 24.

Abstract

OBJECTIVE

To develop clinical cutoffs using change scores for the VOMS individual items and an overall VOMS change score that identified concussion in adolescent athletes.

METHODS

Change score clinical cutoffs were calculated from a sample of adolescents (13-18 years) with SRC (147) and a sample of uninjured adolescents CONTROL (147). Receiver operating characteristic (ROC) curves, with area under the curve (AUC), based on Youden's statistic were used to identify optimal cutoffs for identifying SRC from CONTROLS using VOMS individual item change scores, an overall VOMS change scores, and NPC distance (cm).

RESULTS

AUC values for VOMS item change scores ranged from .55 to .71. Optimal change score cutoffs were ≥1 for VOMS items and ≥3 for overall VOMS change score. The optimal cutoff for NPC distance was ≥3 cm. A ROC analysis revealed a three-factor model (AUC = .76) for identifying SRC that included vertical vesibular ocular reflex (VVOR), visual motion sensitivity (VMS), and NPC distance items. The AUC (.73) for the overall VOMS change score was higher than any individual VOMS AUC values.

CONCLUSIONS

This study supports an alternate scoring approach and clinical interpretation of VOMS items involving change scores that account for pretest symptoms.

摘要

目的

利用 VOMS 单项改变分数和总体 VOMS 改变分数制定临床切点,以识别青少年运动员脑震荡。

方法

从 SRC 青少年患者样本(13-18 岁,147 例)和未受伤青少年对照样本(CONTROLS,147 例)中计算改变分数的临床切点。使用基于 Youden 统计量的受试者工作特征(ROC)曲线及其曲线下面积(AUC),确定 VOMS 单项改变分数、总体 VOMS 改变分数和 NPC 距离(cm)用于识别 SRC 与 CONTROLS 的最佳切点。

结果

VOMS 单项改变分数的 AUC 值范围为.55 至.71。VOMS 单项的最佳改变分数切点为≥1,总体 VOMS 改变分数的最佳切点为≥3。NPC 距离的最佳切点为≥3cm。ROC 分析显示,用于识别 SRC 的三因素模型(AUC =.76)包括垂直前庭眼反射(VVOR)、视觉运动敏感性(VMS)和 NPC 距离项目。总体 VOMS 改变分数的 AUC(.73)高于任何单项 VOMS 的 AUC 值。

结论

本研究支持 VOMS 项目的替代评分方法和临床解释,涉及到考虑到预测试症状的改变分数。

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