Michael N. Dretsch , Katie M. Williams , Diana P. Evans , Katrina S. Monti , Brian J. Guise , Mark L. Ettenhofer , Jamie N. Hershaw
{"title":"多种因素影响瞳孔光反射:对军人创伤性脑损伤筛查的意义","authors":"Michael N. Dretsch , Katie M. Williams , Diana P. Evans , Katrina S. Monti , Brian J. Guise , Mark L. Ettenhofer , Jamie N. Hershaw","doi":"10.1016/j.cnp.2025.07.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>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).</div></div><div><h3>Methods</h3><div>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<sup>LOC-</sup>), or mTBI with LOC (mTBI<sup>LOC+</sup>). 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.</div></div><div><h3>Results</h3><div>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<sup>LOC+</sup> group. Posttraumatic stress and sex were not significant predictors in any of the models.</div></div><div><h3>Conclusions</h3><div>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.</div></div><div><h3>Significance</h3><div>Controlling for these factors is essential for validating the use of PLR for screening of mTBI.</div></div>","PeriodicalId":45697,"journal":{"name":"Clinical Neurophysiology Practice","volume":"10 ","pages":"Pages 256-264"},"PeriodicalIF":2.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple factors contribute to pupillary light reflex: implications for screening of traumatic brain injury in military service members\",\"authors\":\"Michael N. Dretsch , Katie M. Williams , Diana P. Evans , Katrina S. Monti , Brian J. Guise , Mark L. Ettenhofer , Jamie N. Hershaw\",\"doi\":\"10.1016/j.cnp.2025.07.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><div>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).</div></div><div><h3>Methods</h3><div>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<sup>LOC-</sup>), or mTBI with LOC (mTBI<sup>LOC+</sup>). 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.</div></div><div><h3>Results</h3><div>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<sup>LOC+</sup> group. Posttraumatic stress and sex were not significant predictors in any of the models.</div></div><div><h3>Conclusions</h3><div>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.</div></div><div><h3>Significance</h3><div>Controlling for these factors is essential for validating the use of PLR for screening of mTBI.</div></div>\",\"PeriodicalId\":45697,\"journal\":{\"name\":\"Clinical Neurophysiology Practice\",\"volume\":\"10 \",\"pages\":\"Pages 256-264\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Neurophysiology Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2467981X25000368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2467981X25000368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Multiple factors contribute to pupillary light reflex: implications for screening of traumatic brain injury in military service members
Objectives
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).
Methods
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 (mTBILOC-), or mTBI with LOC (mTBILOC+). 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.
Results
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 mTBILOC+ group. Posttraumatic stress and sex were not significant predictors in any of the models.
Conclusions
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.
Significance
Controlling for these factors is essential for validating the use of PLR for screening of mTBI.
期刊介绍:
Clinical Neurophysiology Practice (CNP) is a new Open Access journal that focuses on clinical practice issues in clinical neurophysiology including relevant new research, case reports or clinical series, normal values and didactic reviews. It is an official journal of the International Federation of Clinical Neurophysiology and complements Clinical Neurophysiology which focuses on innovative research in the specialty. It has a role in supporting established clinical practice, and an educational role for trainees, technicians and practitioners.