Utility of pre-injury risk factors and the concussion clinical profiles screening (CP screen) tool for identifying concussion profiles in adolescents.

IF 1.4 4区 心理学 Q4 CLINICAL NEUROLOGY Applied Neuropsychology: Child Pub Date : 2025-03-14 DOI:10.1080/21622965.2025.2478113
Chris Burley, Aaron J Zynda, Alicia M Trbovich, William Rabon, Cyndi L Holland, Xinyi Dan, Yan Ma, Michael W Collins, Anthony P Kontos
{"title":"Utility of pre-injury risk factors and the concussion clinical profiles screening (CP screen) tool for identifying concussion profiles in adolescents.","authors":"Chris Burley, Aaron J Zynda, Alicia M Trbovich, William Rabon, Cyndi L Holland, Xinyi Dan, Yan Ma, Michael W Collins, Anthony P Kontos","doi":"10.1080/21622965.2025.2478113","DOIUrl":null,"url":null,"abstract":"<p><p>This study determined the combined utility of pre-injury risk factors and Concussion Clinical Profile Screen (CP Screen) items to identify clinician-adjudicated concussion profiles in adolescents. This was a retrospective study of 236 adolescents aged 12-18 who presented to a concussion specialty clinic between 2019 and 2020 within 30 days of injury. Participants completed the CP Screen at their initial evaluation, and clinicians provided blindly adjudicated clinical profiles for each participant. Stepwise logistic regressions and receiver operating characteristic (ROC) curves were conducted. Participants (<i>n</i> = 236; 60.2% male) had a mean age of 14.79 ± 1.62 years, and most injuries were sport-related (<i>n</i> = 185, 78.4%). Combined pre-injury risk factor and CP Screen item predictors of anxiety/mood (AUC = 0.903) demonstrated outstanding utility; vestibular (AUC = 0.802) demonstrated excellent utility; and ocular (AUC = 0.766), PTM (AUC = 0.729), and cognitive (AUC = 0.723) demonstrated acceptable utility. Select pre-injury risk factors and CP Screen items provided acceptable to outstanding predictive utility for all clinical profiles in adolescents following concussion, highlighting their clinical utility for identifying concussion clinical profiles and subsequent targeted interventions. However, certain pre-injury risk factors and CP Screen items represented multiple profiles, highlighting the potential overlap and the need for clinicians to consider a multidomain evaluation to inform the best treatment approach.</p>","PeriodicalId":8047,"journal":{"name":"Applied Neuropsychology: Child","volume":" ","pages":"1-10"},"PeriodicalIF":1.4000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Neuropsychology: Child","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/21622965.2025.2478113","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

This study determined the combined utility of pre-injury risk factors and Concussion Clinical Profile Screen (CP Screen) items to identify clinician-adjudicated concussion profiles in adolescents. This was a retrospective study of 236 adolescents aged 12-18 who presented to a concussion specialty clinic between 2019 and 2020 within 30 days of injury. Participants completed the CP Screen at their initial evaluation, and clinicians provided blindly adjudicated clinical profiles for each participant. Stepwise logistic regressions and receiver operating characteristic (ROC) curves were conducted. Participants (n = 236; 60.2% male) had a mean age of 14.79 ± 1.62 years, and most injuries were sport-related (n = 185, 78.4%). Combined pre-injury risk factor and CP Screen item predictors of anxiety/mood (AUC = 0.903) demonstrated outstanding utility; vestibular (AUC = 0.802) demonstrated excellent utility; and ocular (AUC = 0.766), PTM (AUC = 0.729), and cognitive (AUC = 0.723) demonstrated acceptable utility. Select pre-injury risk factors and CP Screen items provided acceptable to outstanding predictive utility for all clinical profiles in adolescents following concussion, highlighting their clinical utility for identifying concussion clinical profiles and subsequent targeted interventions. However, certain pre-injury risk factors and CP Screen items represented multiple profiles, highlighting the potential overlap and the need for clinicians to consider a multidomain evaluation to inform the best treatment approach.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
Applied Neuropsychology: Child
Applied Neuropsychology: Child CLINICAL NEUROLOGY-PSYCHOLOGY
CiteScore
4.00
自引率
5.90%
发文量
47
期刊介绍: Applied Neuropsychology: Child publishes clinical neuropsychological articles concerning assessment, brain functioning and neuroimaging, neuropsychological treatment, and rehabilitation in children. Full-length articles and brief communications are included. Case studies of child patients carefully assessing the nature, course, or treatment of clinical neuropsychological dysfunctions in the context of scientific literature, are suitable. Review manuscripts addressing critical issues are encouraged. Preference is given to papers of clinical relevance to others in the field. All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further considerations are peer reviewed by independent, anonymous expert referees. All peer review is single-blind and submission is online via ScholarOne Manuscripts.
期刊最新文献
Cultural adaptation and validation of the Argentine Children's Orientation and Amnesia Test. Cross cultural adaptation and psychometric evaluation of the Turkish PedsQL Brain Tumor Module: Assessing health-related quality of life in children with brain tumors. Utility of pre-injury risk factors and the concussion clinical profiles screening (CP screen) tool for identifying concussion profiles in adolescents. Assessing factor structure and measurement invariance of WISC-IV among almajiris attending quranic schools and pupils attending mainstream public primary schools in Northern Nigeria. Automatic detection of attention deficit hyperactivity disorder using machine learning algorithms based on short time Fourier transform and discrete cosine transform.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1