Browsing by Author "Kramer, Mark D."

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    Bifactor Model of the Sport Concussion Assessment Tool Symptom Checklist: Replication and Invariance Across Time in the CARE Consortium Sample
    (Sage, 2020-09) Brett, Benjamin L.; Kramer, Mark D.; McCrea, Michael A.; Broglio, Steven P.; McAllister, Thomas; Nelson, Lindsay D.; Hazzard, Joseph B., Jr.; Kelly, Louise A.; Ortega, Justus; Port, Nicholas; Pasquina, Paul F.; Jackson, Jonathan; Cameron, Kenneth L.; Houston, Megan N.; Goldman, Joshua T.; Giza, Christopher; Buckley, Thomas; Clugston, James R.; Schmidt, Julianne D.; Feigenbaum, Luis A.; Eckner, James T.; Master, Christina L.; Collins, Michael W.; Kontos, Anthony P.; Chrisman, Sara P.D.; Duma, Stefan M.; Miles, Christopher M.; Susmarski, Adam; Psychiatry, School of Medicine
    Background: Identifying separate dimensions of concussion symptoms may inform a precision medicine approach to treatment. It was previously reported that a bifactor model identified distinct acute postconcussion symptom dimensions. Purpose: To replicate previous findings of a bifactor structure of concussion symptoms in the Concussion Assessment Research and Education (CARE) Consortium sample, examine measurement invariance from pre- to postinjury, and evaluate whether factors are associated with other clinical and biomarker measures. Study design: Cohort study (Diagnosis); Level of evidence, 2. Methods: Collegiate athletes were prospectively evaluated using the Sport Concussion Assessment Tool-3 (SCAT-3) during preseason (N = 31,557); 2789 were followed at <6 hours and 24 to 48 hours after concussion. Item-level SCAT-3 ratings were analyzed using exploratory and confirmatory factor analyses. Bifactor and higher-order models were compared for their fit and interpretability. Measurement invariance tested the stability of the identified factor structure across time. The association between factors and criterion measures (clinical and blood-based markers of concussion severity, symptom duration) was evaluated. Results: The optimal structure for each time point was a 7-factor bifactor model: a General factor, on which all items loaded, and 6 specific factors-Vestibulo-ocular, Headache, Sensory, Fatigue, Cognitive, and Emotional. The model manifested strict invariance across the 2 postinjury time points but only configural invariance from baseline to postinjury. From <6 to 24-48 hours, some dimensions increased in severity (Sensory, Fatigue, Emotional), while others decreased (General, Headache, Vestibulo-ocular). The factors correlated with differing clinical and biomarker criterion measures and showed differing patterns of association with symptom duration at different time points. Conclusion: Bifactor modeling supported the predominant unidimensionality of concussion symptoms while revealing multidimensional properties, including a large dominant General factor and 6 independent factors: Headache, Vestibulo-ocular, Sensory, Cognitive, Fatigue, and Emotional. Unlike the widely used SCAT-3 symptom severity score, which declines gradually after injury, the bifactor model revealed separable symptom dimensions that have distinct trajectories in the acute postinjury period and different patterns of association with other markers of injury severity and outcome. Clinical relevance: The SCAT-3 total score remains a valuable, robust index of overall concussion symptom severity, and the specific factors identified may inform management strategies. Because some symptom dimensions continue to worsen in the first 24 to 48 hours after injury (ie, Sensory, Fatigue, Emotional), routine follow-up in this time frame may be valuable to ensure that symptoms are managed effectively.
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    Invariance of the Bifactor Structure of Mild Traumatic Brain Injury (mTBI) Symptoms on the Rivermead Post-Concussion Symptoms Questionnaire across Time, Demographic Characteristics, and Clinical Groups: A TRACK-TBI Study
    (Sage, 2021) Agtarap, Stephanie; Kramer, Mark D.; Campbell-Sills, Laura; Yuh, Esther; Mukherjee, Pratik; Manley, Geoffrey T.; McCrea, Michael A.; Dikmen, Sureyya; Giacino, Joseph T.; Stein, Murray B.; Nelson, Lindsay D.; TRACK-TBI Investigators; Psychiatry, School of Medicine
    This study aimed to elucidate the structure of the Rivermead Postconcussion Symptoms Questionnaire (RPQ) and evaluate its longitudinal and group variance. Factor structures were developed and compared in 1,011 patients with mild traumatic brain injury (mTBI; i.e., Glasgow Coma Scale score 13-15) from the Transforming Research and Clinical Knowledge in TBI study, using RPQ data collected at 2 weeks, and 3, 6, and 12 months postinjury. A bifactor model specifying a general factor and emotional, cognitive, and visual symptom factors best represented the latent structure of the RPQ. The model evinced strict measurement invariance over time and across sex, age, race, psychiatric history, and mTBI severity groups, indicating that differences in symptom endorsement were completely accounted for by these latent dimensions. While highly unidimensional, the RPQ has multidimensional features observable through a bifactor model, which may help differentiate symptom expression patterns in the future.
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    Latent Profile Analysis of Neuropsychiatric Symptoms and Cognitive Function of Adults 2 Weeks After Traumatic Brain Injury: Findings From the TRACK-TBI Study
    (American Medical Association, 2021-03-01) Brett, Benjamin L.; Kramer, Mark D.; Whyte, John; McCrea, Michael A.; Stein, Murray B.; Giacino, Joseph T.; Sherer, Mark; Markowitz, Amy J.; Manley, Geoffrey T.; Nelson, Lindsay D.; TRACK-TBI Investigators; Adeoye, Opeolu; Badjatia, Neeraj; Boase, Kim; Barber, Jason; Bodien, Yelena; Bullock, M. Ross; Chesnut, Randall; Corrigan, John D.; Crawford, Karen; Diaz-Arrastia, Ramon; Dikmen, Sureyya; Duhaime, Ann-Christine; Ellenbogen, Richard; Feeser, V. Ramana; Ferguson, Adam R.; Foreman, Brandon; Gardner, Raquel; Gaudette, Etienne; Gonzalez, Luis; Gopinath, Shankar; Gullapalli, Rao; Hemphill, J. Claude; Hotz, Gillian; Jain, Sonia; Keene, C. Dirk; Korley, Frederick K.; Kramer, Joel; Kreitzer, Natalie; Levin, Harvey; Lindsell, Chris; Machamer, Joan; Madden, Christopher; Martin, Alastair; McAllister, Thomas; Merchant, Randall; Mukherjee, Pratik; Ngwenya, Laura B.; Noel, Florence; Okonkwo, David; Palacios, Eva; Puccio, Ava; Rabinowitz, Miri; Robertson, Claudia; Rosand, Jonathan; Sander, Angelle; Satris, Gabriella; Schnyer, David; Seabury, Seth; Taylor, Sabrina; Temkin, Nancy; Toga, Arthur; Valadka, Alex; Vassar, Mary; Wang, Kevin; Yue, John K.; Yuh, Esther; Zafonte, Ross; Psychiatry, School of Medicine
    Importance: Heterogeneity across patients with traumatic brain injury (TBI) presents challenges for clinical care and intervention design. Identifying distinct clinical phenotypes of TBI soon after injury may inform patient selection for precision medicine clinical trials. Objective: To investigate whether distinct neurobehavioral phenotypes can be identified 2 weeks after TBI and to characterize the degree to which early neurobehavioral phenotypes are associated with 6-month outcomes. Design, setting, and participants: This prospective cohort study included patients presenting to 18 US level 1 trauma centers within 24 hours of TBI from 2014 to 2019 as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. Data were analyzed from January 28, 2020, to January 11, 2021. Exposures: TBI. Main outcomes and measures: Latent profiles (LPs) were derived from common dimensions of neurobehavioral functioning at 2 weeks after injury, assessed through National Institutes of Health TBI Common Data Elements (ie, Brief Symptom Inventory-18, Patient Health Questionnaire-9 Depression checklist, Posttraumatic Stress Disorder Checklist for DSM-5, PROMIS Pain Intensity scale, Insomnia Severity Index, Rey Auditory Verbal Learning Test, Wechsler Adult Intelligence Scale-Fourth Edition Coding and Symbol Search subtests, Trail Making Test, and NIH Toolbox Cognitive Battery Pattern Comparison Processing Speed, Dimensional Change Card Sort, Flanker Inhibitory Control and Attention, and Picture Sequence Memory subtests). Six-month outcomes were the Satisfaction With Life Scale (SWLS), Quality of Life after Brain Injury-Overall Scale (QOLIBRI-OS), Glasgow Outcome Scale-Extended (GOSE), and Rivermead Post-Concussion Symptoms Questionnaire (RPQ). Results: Among 1757 patients with TBI included, 1184 (67.4%) were men, and the mean (SD) age was 39.9 (17.0) years. LP analysis revealed 4 distinct neurobehavioral phenotypes at 2 weeks after injury: emotionally resilient (419 individuals [23.8%]), cognitively impaired (368 individuals [20.9%]), cognitively resilient (620 individuals [35.3%]), and neuropsychiatrically distressed (with cognitive weaknesses; 350 individuals [19.9%]). Adding LP group to models including demographic characteristics, medical history, Glasgow Coma Scale score, and other injury characteristics was associated with significantly improved estimation of association with 6-month outcome (GOSE R2 increase = 0.09-0.19; SWLS R2 increase = 0.12-0.22; QOLIBRI-OS R2 increase = 0.14-0.32; RPQ R2 = 0.13-0.34). Conclusions and relevance: In this cohort study of patients with TBI presenting to US level-1 trauma centers, qualitatively distinct profiles of symptoms and cognitive functioning were identified at 2 weeks after TBI. These distinct phenotypes may help optimize clinical decision-making regarding prognosis, as well as selection and stratification for randomized clinical trials.