Concussion Clinical Profiles Screening (CP Screen) Tool: Preliminary Evidence to Inform a Multidisciplinary Approach

脑震荡 脑震荡后综合征 克朗巴赫阿尔法 医学 物理疗法 偏头痛 认知 物理医学与康复 毒物控制 临床心理学 伤害预防 心理测量学 精神科 急诊医学
作者
Anthony P. Kontos,R.J. Elbin,Alicia M. Trbovich,Melissa N. Womble,Azkya Said,Vanessa Fazio Sumrok,Jonathan French,Nathan Kegel,Alicia Puskar,Natalie Sherry,Cyndi L. Holland,Michael W. Collins
出处
期刊:Neurosurgery [Oxford University Press]
卷期号:87 (2): 348-356 被引量:66
标识
DOI:10.1093/neuros/nyz545
摘要

Abstract BACKGROUND Current concussion symptom inventories emphasize total number or symptoms and severity and overlap with other conditions, such as mental health disorders, which may limit their specificity and clinical utility. OBJECTIVE To develop and test the reliability and validity of a new Concussion Clinical Profiles Screening tool (CP Screen) in both healthy controls and concussed. METHODS CP Screen is a 29-item self-report, clinical profile-based symptom inventory that measures the following 5 concussion clinical profiles: 1) anxiety/mood, 2) cognitive/fatigue, 3) migraine, 4) ocular, and 5) vestibular; and the following 2 modifying factors: 1) sleep and 2) neck. Post-Concussion Symptom Scale (PCSS), vestibular/ocular motor screening (VOMS) tool, and Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) were conducted. CP Screen was administered in community a concussion surveillance program and 2 sports medicine concussion clinics. Responses include 248 athletes, 121 concussed, and 127 controls, enrolled between 2018 and 2019. RESULTS Internal consistency of the CP Screen in the control (Cronbach's alpha = .87) and concussed (Cronbach's alpha = .93) samples was high. Moderate to high correlations among the CP Screen factors and PCSS factors and VOMS items, supporting concurrent validity. ROC curve analysis for identifying concussed from controls was significant ( P < .001) for all CP Screen factor and modifier scores with excellent AUCs for migraine (.93), ocular (.88), vestibular (.85), and cognitive (.81) factors, demonstrating predictive validity. CONCLUSION The CP Screen demonstrated strong reliability, concurrent validity with commonly used concussion assessment (ie, PCSS, VOMS, and ImPACT), and predictive validity for identifying concussion. The CP Screen extends current symptom inventories by evaluating more specific symptoms that may reflect clinical profiles and inform better clinical care.

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