Dretsch Michael N, Williams Katie M, Evans Diana P, Monti Katrina S, Guise Brian J, Ettenhofer Mark L, Hershaw Jamie N
Traumatic Brain Injury Center of Excellence (TBICoE), Silver Spring, USA.
General Dynamics Information Technology, Falls Church, VA, USA.
Clin Neurophysiol Pract. 2025 Jul 9;10:256-264. doi: 10.1016/j.cnp.2025.07.002. eCollection 2025.
This study aimed to assess the contribution of demographics, medical history, and psychological health to pupillary light reflex (PLR) indices in Service members with and without a history of mild traumatic brain injury (mTBI).
PLR data from NeurOptics NPi-300 were analyzed on 216 participants who were categorized as non-injured controls (NIC), mTBI with no loss of consciousness (mTBI), or mTBI with LOC (mTBI). Multiple independent regression models were conducted for each PLR index to assess the contribution of these factors to the variability of PLR indices by group.
There were no significant group differences on the PLR indices. Age was a significant factor across groups, but more robust for those with mTBI. Sleep duration, injury characteristics, and psychological health effects on PLR indices were primarily observed in the mTBI group. Posttraumatic stress and sex were not significant predictors in any of the models.
When using PLR for screening of mTBI, an individual's age, history of prior mTBI, total lifetime TBI-related alterations in consciousness, sleep, and anxiety and depression symptoms should be considered when interpreting PLR metrics.
Controlling for these factors is essential for validating the use of PLR for screening of mTBI.
本研究旨在评估人口统计学、病史和心理健康对有或无轻度创伤性脑损伤(mTBI)病史的军人瞳孔光反射(PLR)指标的影响。
对216名参与者的NeurOptics NPi - 300瞳孔光反射数据进行分析,这些参与者被分为未受伤对照组(NIC)、无意识丧失的mTBI(mTBI)或有意识丧失的mTBI(mTBI)。针对每个PLR指标建立多个独立回归模型,以评估这些因素对各分组中PLR指标变异性的影响。
PLR指标在各分组间无显著差异。年龄是所有分组中的一个显著因素,但对mTBI患者更为显著。睡眠时间、损伤特征以及心理健康对PLR指标的影响主要在mTBI组中观察到。创伤后应激和性别在任何模型中均不是显著的预测因素。
在使用PLR筛查mTBI时,在解释PLR指标时应考虑个体的年龄、既往mTBI病史、一生中与TBI相关的意识改变、睡眠以及焦虑和抑郁症状。
控制这些因素对于验证PLR用于筛查mTBI的有效性至关重要。