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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">100892086</journal-id><journal-id journal-id-type="pubmed-jr-id">22207</journal-id><journal-id journal-id-type="nlm-ta">Neurorehabil Neural Repair</journal-id><journal-id journal-id-type="iso-abbrev">Neurorehabil Neural Repair</journal-id><journal-title-group><journal-title>Neurorehabilitation and neural repair</journal-title></journal-title-group><issn pub-type="ppub">1545-9683</issn><issn pub-type="epub">1552-6844</issn></journal-meta><article-meta><article-id pub-id-type="pmid">34689657</article-id><article-id pub-id-type="pmc">8688285</article-id><article-id pub-id-type="doi">10.1177/15459683211048771</article-id><article-id pub-id-type="manuscript">NIHMS1739525</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Acute Cortisol Profile Associations with Cognitive Impairment after Severe TBI</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Barton</surname><given-names>DJ</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Kumar</surname><given-names>RG</given-names></name><degrees>PhD, MPH</degrees><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Schuster</surname><given-names>AA</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Juengst</surname><given-names>SB</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A4">4</xref><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Oh</surname><given-names>BM</given-names></name><degrees>MD, PhD</degrees><xref ref-type="aff" rid="A6">6</xref></contrib><contrib contrib-type="author"><name><surname>Wagner</surname><given-names>AK</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A7">7</xref><xref ref-type="aff" rid="A8">8</xref><xref ref-type="aff" rid="A9">9</xref><xref ref-type="aff" rid="A10">10</xref></contrib></contrib-group><aff id="A1"><label>1</label>University of Pittsburgh, Department of Emergency Medicine, Pittsburgh, PA, USA</aff><aff id="A2"><label>2</label>University of Pittsburgh, Department of Physical Medicine &#x00026; Rehabilitation, Pittsburgh, PA, USA</aff><aff id="A3"><label>3</label>University of Pittsburgh, Department of Epidemiology, Pittsburgh, PA, USA</aff><aff id="A4"><label>4</label>University of Texas Southwestern, Department of Physical Medicine &#x00026; Rehabilitation, Dallas, TX, USA</aff><aff id="A5"><label>5</label>University of Texas Southwestern, Department of Applied Clinical Research, Dallas, TX, USA.</aff><aff id="A6"><label>6</label>Seoul National University, Department of Rehabilitation Medicine, Seoul, KR</aff><aff id="A7"><label>7</label>University of Pittsburgh, Safar Center for Resuscitation Research, Pittsburgh, PA, USA</aff><aff id="A8"><label>8</label>University of Pittsburgh, Department of Neuroscience, Pittsburgh, PA, USA</aff><aff id="A9"><label>9</label>University of Pittsburgh, Center for Neuroscience, Pittsburgh, PA, USA</aff><aff id="A10"><label>10</label>University of Pittsburgh, Clinical and Translational Science Institute, Pittsburgh, PA, USA</aff><author-notes><corresp id="CR1"><bold>Corresponding Author</bold> Amy K. Wagner, MD, Professor and Vice-Chair Academic Development, Department of Physical Medicine &#x00026; Rehabilitation, University of Pittsburgh, 3471 Fifth Avenue, Suite 202, Pittsburgh, PA 15213, Phone: 412-648-6666; <email>wagnerak@upmc.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>25</day><month>9</month><year>2021</year></pub-date><pub-date pub-type="epub"><day>23</day><month>10</month><year>2021</year></pub-date><pub-date pub-type="ppub"><month>12</month><year>2021</year></pub-date><pub-date pub-type="pmc-release"><day>21</day><month>12</month><year>2021</year></pub-date><volume>35</volume><issue>12</issue><fpage>1088</fpage><lpage>1099</lpage><!--elocation-id from pubmed: 10.1177/15459683211048771--><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P1">Cognitive impairments commonly occur after traumatic brain injury (TBI) and affect daily functioning. Cortisol levels, which are elevated during acute hospitalization for most individuals after severe TBI, can influence cognition, but this association has not been studied previously in TBI.</p></sec><sec id="S2"><title>Objective:</title><p id="P2">We hypothesized that serum and cerebral spinal fluid (CSF) cortisol trajectories over days 0&#x02013;5 post-injury are associated with cognition 6-months post-injury.</p></sec><sec id="S3"><title>Methods:</title><p id="P3">We examined 94 participants with severe TBI, collected acute serum and/or CSF samples over days 0&#x02013;5 post-injury, and compared cortisol levels to those in 17 healthy controls. N=88 participants had serum, and n=84 had CSF samples available for cortisol measurement and had neuropsychological testing 6-months post-injury. Group based trajectory analysis (TRAJ) was used to generate temporal serum and CSF cortisol profiles which were examined for associations with neuropsychological performance. We used linear regression to examine relationships between cortisol TRAJ groups and both overall and domain-specific cognition.</p></sec><sec id="S4"><title>Results:</title><p id="P4">TRAJ analysis identified a <italic>high</italic> group and a <italic>decliner</italic> group for serum and a <italic>high</italic> group and <italic>low</italic> group for CSF cortisol. Multivariable analysis showed serum cortisol TRAJ group was associated with overall cognitive composites scores (p=0.024) and with executive function (p=0.039) and verbal fluency (p=0.029) domain scores. CSF cortisol TRAJ group was associated with overall cognitive composite scores (p=0.021) and domain scores for executive function (p=0.041), verbal fluency (p=0.031), and attention (p=0.034).</p></sec><sec id="S5"><title>Conclusions:</title><p id="P5">High acute cortisol trajectories are associated with poorer cognition 6-months post-TBI.</p></sec></abstract><kwd-group><kwd>traumatic brain injury</kwd><kwd>cortisol</kwd><kwd>cognition</kwd><kwd>neuropsychological testing</kwd><kwd>hormone</kwd><kwd>outcome assessment</kwd></kwd-group></article-meta></front><body><sec id="S6"><title>INTRODUCTION:</title><p id="P6">Traumatic brain injury (TBI) is a leading cause of disability and death globally.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Effective neuroprotective treatments are lacking due, in part, to heterogeneity in demographic and clinical characteristics and variability in acute secondary injury cascades post-injury.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R3" ref-type="bibr">3</xref></sup> To inform prognostication and identify neuroreparative treatments, we previously examined inflammatory markers, sex hormones, and monoaminergic and neurotrophic molecules as potential biomarkers indicative of disability and mortality after TBI.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R4" ref-type="bibr">4</xref>&#x02013;<xref rid="R7" ref-type="bibr">7</xref></sup> Impaired cognition is one of the most common problems after TBI, occurring in ~70% of individuals with severe injury.<sup><xref rid="R8" ref-type="bibr">8</xref></sup> Cognitive deficits broadly affect functioning, disrupting daily life activities, employment, social interaction, and life satisfaction.<sup><xref rid="R8" ref-type="bibr">8</xref>,<xref rid="R9" ref-type="bibr">9</xref></sup> Early biomarkers specific to poor cognitive prognosis may inform outcome prediction and personalized cognitive dysfunction treatment approaches.</p><p id="P7">Neuroendocrine hormone profiles may be sensitive predictive markers for cognitive deficits after TBI. Acute TBI affects the hypothalamic-pituitary-adrenal (HPA) axis, which regulates the stress response and can mediate negative effects of inflammation on the CNS.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R11" ref-type="bibr">11</xref></sup> In response to a stressor, the hypothalamus releases corticotropin-releasing hormone (CRH) which binds to receptors in the anterior pituitary gland, in turn releasing adrenocorticotropic hormone (ACTH).<sup><xref rid="R12" ref-type="bibr">12</xref></sup> The adrenal glands then produce cortisol in response to this ACTH signaling. We previously documented elevated cerebrospinal fluid (CSF) and serum cortisol profiles occurring over the first week after severe TBI;<sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R10" ref-type="bibr">10</xref></sup> elevated CSF cortisol was associated with worse 6 and 12-month global and disability outcomes.<sup><xref rid="R10" ref-type="bibr">10</xref></sup> Elevations can occur from disrupted negative feedback involving the HPA axis and either decreased glucocorticoid receptor sensitivity of HPA axis organs or decreased CRH, both of which may result in sustained elevated cortisol levels.<sup><xref rid="R13" ref-type="bibr">13</xref>&#x02013;<xref rid="R15" ref-type="bibr">15</xref></sup></p><p id="P8">Though cortisol can have transient beneficial anti-inflammatory effects, aiding in immune cell removal and inhibiting immune cell infiltration at injury sites in the periphery and CNS,<sup><xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R16" ref-type="bibr">16</xref></sup> elevated cortisol levels can lead to excessive or maladaptive inflammatory responses post-injury<sup><xref rid="R14" ref-type="bibr">14</xref></sup>, perpetuating blood brain barrier (BBB)<sup><xref rid="R17" ref-type="bibr">17</xref></sup> and neural cell dysfunction.<sup><xref rid="R11" ref-type="bibr">11</xref></sup> We have shown after severe TBI that elevated acute (days 0&#x02013;5) CSF cortisol mediates the relationship between inflammatory cytokine profiles and 6-month post-injury outcome.<sup><xref rid="R2" ref-type="bibr">2</xref></sup> We have also established that CSF BDNF levels and their associated relationships with mortality differ based on CSF cortisol trajectories after TBI.<sup><xref rid="R18" ref-type="bibr">18</xref></sup> Serum cortisol levels reflect HPA axis response to TBI and associated injuries, since the adrenal glands are the primary contributors to systemic cortisol levels post-injury.<sup><xref rid="R6" ref-type="bibr">6</xref>,<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R21" ref-type="bibr">21</xref></sup> Systemic cortisol transport into the CNS is the primary source of brain exposure to cortisol. This transport is highly regulated, but cortisol can also move passively into the CNS in the setting of BBB compromise.<sup><xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R22" ref-type="bibr">22</xref>,<xref rid="R23" ref-type="bibr">23</xref></sup> Our work shows CSF cortisol levels after TBI can be up to 10X that of healthy controls, and higher CSF cortisol levels measured from samples collected during the first week after injury are associated with mortality and survivor-specific functional outcomes after severe TBI.<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R18" ref-type="bibr">18</xref></sup> However, no one has explored how acute cortisol profiles affect cognition among TBI survivors. Our objective was to identify relationships between days 0&#x02013;5 post-injury serum and CSF cortisol profiles and 6-month neuropsychological test scores after severe TBI. We hypothesized that consistently high serum and CSF cortisol profiles are biomarkers associated with poor cognition measured six months post-TBI.</p></sec><sec id="S7"><title>METHODS</title><sec id="S8"><title>Recruitment</title><p id="P9">A cohort (N=94) of adults with severe TBI [Glasgow Coma Scale (GCS) &#x02264;8, with positive CT scan findings of TBI (per radiologist clinical report, not including isolated skull fracture) was recruited from the University of Pittsburgh Medical Center as a part of an Institutional Review Board-approved study involving prospective biosample collection and outcome assessments. A schematic flow chart of how this study&#x02019;s cohort was derived is shown (<xref rid="F1" ref-type="fig">Figure 1</xref>). A healthy control cohort (n=17) provided demographic information and serum and/or CSF samples, collected via lumbar puncture, for this study to provide reference values for cortisol measurements. For study inclusion, participants with TBI needed 1) at least two acute (day 0&#x02013;5 post-injury) serum and/or two acute CSF cortisol measurements collected on different days during the day 0&#x02013;5 sampling period, and 2) neuropsychological test data in at least one cognitive domain at six months post-injury.</p><p id="P10">Of the 94 participants included in this study with serum and/or CSF cortisol levels and available cognitive composite scores, 88 had serum cortisol and 84 had CSF cortisol (<xref rid="F1" ref-type="fig">Figure 1</xref>). Those who died prior to cognitive testing and TBI survivors unable to complete cognitive testing were not included in this analysis.</p></sec><sec id="S9"><title>Measures</title><sec id="S10"><title>Demographic and Clinical Variables:</title><p id="P11">Demographic and clinical variables were abstracted from medical charts and self-reported through interviews. Given that severe TBI is accompanied by other extracranial injury and critical illness that may impact cortisol levels post-TBI, we collected information on extracerebral trauma and complications that ensued from these injuries. Abstracted variables included age, sex, race, hospital length of stay (LOS), and measures of trauma severity, including injury severity score (ISS) and non-head ISS, mechanism of injury (MOI), injury complications, and the best GCS score within 24 hours of injury. Different injury types were extracted from head CT reports post-injury, including subdural hematoma (SDH), subarachnoid hemorrhage (SAH), diffuse axonal injury (DAI), epidural hematoma (EDH), contusion, intraventricular hemorrhage (IVH), intracerebral hemorrhage (ICH), and other findings.</p></sec><sec id="S11"><title>Cognition:</title><p id="P12">Cognition at six months post-injury was assessed via neuropsychological tests sensitive to cognitive deficits common after TBI. Cognitive composite scores were used to determine cognitive impairment based on eight neuropsychological tests assessing four cognitive domains described previously<sup><xref rid="R24" ref-type="bibr">24</xref></sup> (<xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 1</xref>). The <italic>verbal fluency domain</italic> includes the Delis-Kaplan Executive Function Systems Verbal Fluency section<sup><xref rid="R25" ref-type="bibr">25</xref></sup> and the Controlled Oral Word Association Test.<sup><xref rid="R26" ref-type="bibr">26</xref></sup> The <italic>attention domain</italic> includes Trail Making Test A<sup><xref rid="R27" ref-type="bibr">27</xref></sup> and the Digit span subtest from the Wechsler Adult Intelligence Scale-R.<sup><xref rid="R28" ref-type="bibr">28</xref></sup> The <italic>memory domain</italic> includes The California Verbal Learning Test II-Long Delay Free Recall score<sup><xref rid="R29" ref-type="bibr">29</xref></sup> and the Rey-Osterrieth Complex Figure Test,<sup><xref rid="R30" ref-type="bibr">30</xref></sup> and the <italic>executive function domain</italic> used the Trail Making Test B<sup><xref rid="R27" ref-type="bibr">27</xref></sup> and Stroop Interference Score.<sup><xref rid="R31" ref-type="bibr">31</xref></sup> Raw test scores were converted to norm-based t-scores, adjusting for age, race, sex, and education where applicable. If at least one test was completed in a domain, a domain-specific composite score (average of t-scores within the domain) was calculated. The overall cognitive composite score was calculated as an average of the four domain-specific scores. A cognitive composite t-score of 50 is considered average for healthy individuals. Within each domain and for overall composite scores, cognitive impairment was defined as a t-score of &#x02264;40.0 (1 SD below average).</p></sec><sec id="S12"><title>Sample Collection:</title><p id="P13">Blood samples were collected in red top tubes every morning at ~7:00 AM for days 0&#x02013;5 after injury. After collection, blood remained at room temperature for ~30 minutes and was then stored up to 3h at 4<sup>&#x01d52;</sup>C prior to centrifugation at 2500 RPM for 10 min at room temperature by the study team. CSF samples were taken from passive drainage extra-ventricular drain (EVD) collection bags and collected up to twice daily at ~7:00 AM and 7:00 PM. CSF samples were stored at 4&#x000b0;C until centrifugation by the study team at 2500 RPM for 5 min at room temperature. Upon centrifugation, serum and CSF samples were aliquoted, and stored at &#x02212;80&#x000b0;C until batch analysis.</p><p id="P14">Not all TBI participants had samples collected every day. Sample missingness was attributable to lack of patient availability for blood/CSF sample collection, low CSF output, or EVD device removal prior to the conclusion of the day 0&#x02013;5 sampling period. Cortisol data were binned into 24-hour intervals, and for bins with more than one sample per 24-hour time period (CSF samples), values were averaged for data analytic purposes, resulting in N=319 serum and N=289 CSF daily cortisol values across the day 0&#x02013;5 period. Previous work suggests diurnal cortisol patterns are diminished shortly after moderate-to-severe TBI, and there are no significant differences between morning and evening cortisol levels.<sup><xref rid="R6" ref-type="bibr">6</xref></sup></p></sec><sec id="S13"><title>Cortisol Measurements:</title><p id="P15">Cortisol levels were measured for some serum and CSF samples using a solid phase 1251 radioimmunoassay (RIA) with a Coat-A-Count&#x000ae; In-vitro Diagnostic Test Kit (Siemens Healthcare Diagnostic Inc., Los Angeles, CA). The detection limit for this assay is 2 ng/ml. This kit is designed for direct cortisol measurement using 25 &#x003bc;L aliquots of sample. Inter- and intra-assay coefficients of variation (CV) were both less than 10% with this methodology. The detection limit value was assigned to CSF and serum samples with out of range (low) values, while samples (n=8 CSF samples only) were assigned a value of 0.001 ng/mL if levels were undetectable.</p><p id="P16">Cortisol levels for additional CSF and serum samples were measured using a commercial ELISA kit (1&#x02013;3002, Salimetrics, PA, USA) according to manufacturer instructions. The detection limit for this assay is 0.07 ng/ml. To avoid matrix effects with this assay, serum and CSF samples were diluted 1:36 and 1:4, respectively. Although the kit was developed and validated for saliva, our pilot work (<xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 2</xref>) using serum cortisol showed an excellent profile of linearity with serial dilution, and recovery (90%&#x02212;110%) for standards with a range of dilution 1:20 to 1:40. Among the 96 wells in each plate, 10 wells were used in duplicate to evaluate intra-plate reliability, and six additional wells were used to evaluate inter-plate reliability. Otherwise, all samples were evaluated in singlet to conserve sample volume. The observed intra- and inter-plate variance were &#x0003c;5% CV and &#x0003c;6% CV for serum, and &#x0003c;10% CV and &#x0003c;16% CV for CSF, respectively.</p><p id="P17">Previous work using these assay platforms suggest a high degree of linearity between serum and saliva cortisol levels.<sup><xref rid="R32" ref-type="bibr">32</xref></sup> Notably, serum levels in this study were measured using the same RIA platform, and CSF samples were measured using the same ELISA kit noted in this study. Thus, linear regressions were generated by re-running samples to estimate RIA cortisol values for samples measured via ELISA to pool data for analysis. To accomplish this, we measured serum and CSF cortisol levels in a subset of samples (N=38 serum; N=30 CSF) for which we also previously measured cortisol using RIA in order to determine a correlation and generate a linear equation used to convert ELISA sample values and pool measurements across assay type to form one dataset. Serum cortisol levels for N=38 samples run via both RIA and ELISA correlated were used to create the linear regression equation of <italic>C</italic><sub><italic>RIA</italic></sub> = 41.74 + 0.96 &#x000d7; <italic>C</italic><sub><italic>ELISA</italic></sub>. CSF cortisol levels also were run via RIA and ELISA (N=30), to create the linear regression equation of <italic>C</italic><sub><italic>RIA</italic></sub> = 6.32 + 0.76 &#x000d7; <italic>C</italic><sub><italic>ELISA</italic></sub> (<xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 3</xref>).</p></sec><sec id="S14"><title>Statistical Analysis:</title><p id="P18">Statistical analyses were conducted using SAS (Version 9.4). Mean and standard error of the mean were calculated for age, hospital LOS, years of education, and Injury Severity Score (ISS), while median and interquartile range were determined for best GCS in 24 hours. Although an initial GCS score of &#x02264;8 was required for study inclusion, the best GCS score in 24 hours was used in analysis as a better measure of injury severity that is less subject to bias from intubation or paralytics at initial time of injury, as previously described.<sup><xref rid="R24" ref-type="bibr">24</xref></sup> Frequencies and percentages were calculated for categorical variables. Demographic and clinical variables were compared between TRAJ groups and by cognitive impairment status, measured by overall composites scores, using Mann-Whitney U tests for continuous variables or &#x003c7;<sup>2</sup> or Fisher&#x02019;s exact tests for categorical variables. Mann-Whitney U tests were used to assess relationships between TRAJ groups and cognitive impairment.</p></sec><sec id="S15"><title>Trajectory Analysis Formulation:</title><p id="P19">Group-based trajectory analysis (PROC TRAJ function in SAS) identified groups of individuals with similar longitudinal cortisol profiles using methods similar to previous work.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R5" ref-type="bibr">5</xref>,<xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R18" ref-type="bibr">18</xref></sup> Individuals needed to have at least two serum or two CSF samples, collected at any two distinct days post-injury, to be included in the respective serum TRAJ or CSF TRAJ analysis for longitudinal characterization. For both serum and CSF, assay values underwent natural log-transformation prior to conducting TRAJ analysis. TRAJ group designations were based on a data driven, algorithmic procedure, rather than a clinical cut-point designating high cortisol levels. Bayesian Information Criteria and posterior probabilities were compared between models to determine optimal number of groups and polynomial order. Posterior probability represents the probability that, given the observed values an individual has, they belong to a given trajectory group, independent of the outcome data collected, and posterior probabilities are the basis for judging the adequacy of the model. For each individual in the cohort, the TRAJ group with the largest posterior probability is used to select group membership, and generally an average posterior probability &#x02265;0.7 for TRAJ groups generated for the cohort is considered acceptable.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> Descriptive TRAJ group designations are provided for both CSF and serum that characterize relative differences in cortisol levels between groups.</p><p id="P20">Multivariable linear regressions assessed predictors of 6-month cognition using overall and domain-specific cognitive composite scores, adjusting for age, sex, and education as covariates.<sup><xref rid="R33" ref-type="bibr">33</xref>&#x02013;<xref rid="R35" ref-type="bibr">35</xref></sup> To further control for potential confounding with multivariable analysis, we included variables with significant associations with serum cortisol, CSF cortisol, and/or cognitive composite scores at the p&#x0003c;0.1 level.</p></sec></sec></sec><sec id="S16"><title>RESULTS</title><sec id="S17"><title>Demographic, Clinical, and Cortisol Information:</title><p id="P21">Demographic variables for participants (N=94) with serum and/or CSF and at least one domain-specific cognitive score are shown in <xref rid="T1" ref-type="table">Table 1</xref> for the full cohort and by serum and CSF TRAJ. The cohort was, on average, 32.1 years old (SE, 1.32), composed predominantly of Caucasian (92.55%) men (78.57%) with motor vehicle collisions as the primary mechanism of injury (47.25%). The control cohort had an average age of 31.6 years (SE, 3.34), and was also predominantly white (82.35%) men (71.43%). Serum cortisol levels for N=38 samples run via both RIA and ELISA correlated (Spearman&#x02019;s rho=0.936, P&#x0003c;.001). CSF cortisol levels run via RIA and ELISA (N=30) also showed excellent correlation (Spearman&#x02019;s rho=0.884, P&#x0003c;0.001) (<xref rid="SD1" ref-type="supplementary-material">Supplemental Figure 3</xref>). In the total TBI cohort, the day 0&#x02013;5 average serum cortisol level was 206.8 ng/mL (SE, 6.7; SD, 63.3) and 20.4 ng/mL (SE, 1.3; SD, 12.0) for CSF cortisol levels.</p></sec><sec id="S18"><title>Serum and CSF Trajectories:</title><p id="P22">For serum cortisol, TRAJ analysis identified a consistently <italic>high</italic> group and a <italic>decliner</italic> group. Average posterior probabilities were 90.51% and 79.39% for the <italic>high</italic> group and <italic>decliner</italic> group, respectively. The <italic>high</italic> group had significantly higher serum cortisol levels than controls on all days of testing, while the <italic>decliner</italic> group had serum cortisol levels similar to controls for the entire monitoring period. CSF cortisol TRAJ analyses identified a <italic>high</italic> group and <italic>low</italic> group. Individuals in both groups had higher CSF cortisol levels than control values over the entire monitoring period. Average posterior probabilities were 83.18% and 93.56% for <italic>high</italic> and <italic>low</italic> groups, respectively. Participants in the <italic>high</italic> serum cortisol group were significantly older than those in the <italic>decliner</italic> group (p=0.010). There also was a greater proportion of men in the <italic>low</italic> vs. <italic>high</italic> CSF cortisol group (p=0.014). Diffuse axonal injury was more frequent in the <italic>low</italic> vs. <italic>high</italic> CSF TRAJ groups (p=0.011).</p></sec><sec id="S19"><title>Factors Associated with 6-month Cognition:</title><p id="P23">Associations between demographic and clinical variables and 6-month cognitive composite scores are provided in <xref rid="T2" ref-type="table">Table 2</xref>. Longer LOS was associated with poorer cognition (r=&#x02212;0.332, p=0.005). Wound and hematologic complications during acute care were associated with cognition (p=0.007), however these comparisons were based only on 3&#x02013;5 occurrences of each condition. Contusions observed on CT had a trend level association with poorer cognition (p=0.076).</p></sec><sec id="S20"><title>Cortisol Associations with TRAJ Group Membership:</title><p id="P24">Average daily serum and CSF levels were calculated by TRAJ group for each day (0&#x02013;5) post-injury (<xref rid="F2" ref-type="fig">Figure 2</xref>). The serum cortisol day 0&#x02013;5 average by serum TRAJ group were: <italic>decliner</italic>=161.4 (SE: 8.8) ng/mL; <italic>high</italic>=236.4 (SE: 7.2) ng/mL. The CSF cortisol day 0&#x02013;5 averages by CSF TRAJ group were: <italic>low</italic>=14.2 (SE: 0.7) ng/mL; <italic>high</italic>=33.8 (SE: 2.0) ng/mL. Pairwise comparisons between TRAJ groups showed significant differences between serum cortisol levels on days 1&#x02013;4 (p&#x02264;0.05), and a trend level association on day 5 (p=0.052). Day 0 values did not differ between these two TRAJ groups. Also, there were differences in daily CSF cortisol levels between TRAJ groups on days 0&#x02013;5 (p&#x02264;0.05).</p></sec><sec id="S21"><title>TRAJ Group Membership Associations with Cognitive Composite and Domain Scores:</title><p id="P25">Overall and domain-specific cognitive composite scores were compared in bivariate analysis between serum TRAJ groups and CSF TRAJ groups (<xref rid="T3" ref-type="table">Table 3</xref>). Cognition was poorer in the <italic>high</italic> serum TRAJ group overall (p=0.002) and for the executive function (p=0.008) and verbal fluency (p=0.002) domains. There were no differences in the attention (p=0.168) or memory domains (p=0.646) by serum TRAJ group membership. Cognition was poorer in the <italic>high</italic> CSF TRAJ group overall (p=0.015) and for the executive function (p=0.002), attention (p=0.011), and verbal fluency (p=0.046) domains. Similar to serum, there were no differences in the memory domain (p=0.464) by CSF TRAJ group membership.</p></sec><sec id="S22"><title>Serum Cortisol TRAJ is Associated with 6-month Cognition:</title><p id="P26">Multivariable linear regression models identifying predictors of 6-month cognitive composites scores are provided in <xref rid="T4" ref-type="table">Table 4</xref>. After adjusting for age, sex, years of education, and contusion, there was a 4.232 point lower overall composite score for the <italic>high</italic> serum TRAJ group compared to the <italic>decliner</italic> group (p=0.024). Executive function composite scores were 4.931 points lower (p=0.039) and verbal fluency composite scores were 6.469 points lower (p=0.029) in the <italic>high</italic> group than the <italic>decliner</italic> group. Memory and attention scores did not differ between serum TRAJ groups.</p></sec><sec id="S23"><title>CSF Cortisol TRAJ is Associated with 6-month Cognition:</title><p id="P27">Similar models were generated for CSF TRAJ groups (<xref rid="T4" ref-type="table">Table 4</xref>). Adjusting for age, sex, GCS, years of education, and contusion, there was a 4.733 point lower overall composite scores in the <italic>high</italic> CSF group compared to the <italic>low</italic> group (p=0.021). Executive function [&#x02212;4.952 points; (p=0.041)], attention [&#x02212;6.538 points (p=0.034)], and verbal fluency [&#x02212;6.528 points (p=0.031)] were also lower in the <italic>high</italic> versus <italic>low</italic> CSF TRAJ group. Memory, however, did not differ by CSF TRAJ group (p=0.401).</p></sec></sec><sec id="S24"><title>DISCUSSION</title><p id="P28">The novel association we found between acute cortisol profiles and later cognitive impairment after severe TBI suggests cortisol may be a potential early treatment target to improve long-term cognition post-TBI. Our results indicate those with acute serum and CSF cortisol profiles that are high and remain high over days 0&#x02013;5 post-injury have poorer cognition at 6-months post-injury than those whose cortisol profiles are consistently low or may start high but decline early post-injury. This finding suggests acute cortisol trajectories among TBI survivors are an early indicator of ongoing hypercortisolemia, which subsequently affects later cognition. If these results are confirmed, early cortisol trajectories could be used to identify &#x0201c;at-risk&#x0201d; individuals who may benefit from therapies that modulate cortisol production and signaling.</p><p id="P29">In the absence of TBI, HPA axis feedback loops associated with elevated serum cortisol levels signal to the pituitary and hypothalamus to decrease ACTH and CRH production, thus decreasing further cortisol production. However, multiple cytokines (e.g. IL-6, TNF&#x003b1;) can contribute to sustained cortisol elevations<sup><xref rid="R36" ref-type="bibr">36</xref></sup> such as what occurs in response to trauma,<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R13" ref-type="bibr">13</xref></sup> but cortisol elevations can also result from reduced glucocorticoid-mediated feedback to the HPA axis.<sup><xref rid="R15" ref-type="bibr">15</xref></sup> This latter phenomenon has been examined in rats, where HPA feedback may be disrupted by changes in glucocorticoid receptor expression.<sup><xref rid="R37" ref-type="bibr">37</xref></sup> Although cortisol has been extensively studied, little evidence exists regarding mechanistic cortisol effects peripherally or centrally after TBI. Cortisol production occurs primarily in the adrenal glands,<sup><xref rid="R21" ref-type="bibr">21</xref></sup> although some CNS-derived hormone synthesis may occur.<sup><xref rid="R21" ref-type="bibr">21</xref></sup> Further, excess serum cortisol may enter the CNS after TBI due to P-glycoprotein dysfunction, an important BBB transporter that limits accumulation of drugs and hormones like cortisol in the brain.<sup><xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R22" ref-type="bibr">22</xref>,<xref rid="R23" ref-type="bibr">23</xref></sup> Our findings align with this research, in that those with higher serum and CSF cortisol profiles had worse cognition.</p><p id="P30">Relevant to the acute stress response associated with TBI, differential cortisol receptor binding may contribute to how stress-induced elevated cortisol levels affect cognition.<sup><xref rid="R38" ref-type="bibr">38</xref></sup> Cortisol binds with both mineralcorticoid (MR) and glucocorticoid receptors (GR).<sup><xref rid="R39" ref-type="bibr">39</xref></sup> MR&#x02019;s have a higher affinity for cortisol and are the main receptors maintaining cortisol mediated circadian rhythm.<sup><xref rid="R39" ref-type="bibr">39</xref></sup> Cortisol receptors are widely distributed in the CNS, wherein MR&#x02019;s are present in the limbic system and GR&#x02019;s are present in both subcortical and cortical regions, and affect cognition.<sup><xref rid="R39" ref-type="bibr">39</xref></sup> Differential receptor occupation during stress negatively affects hippocampal function. During stress-induced hypercortisolemia, similar to accumulation of cortisol acutely after TBI, MR&#x02019;s become saturated, resulting in increased GR binding.<sup><xref rid="R39" ref-type="bibr">39</xref></sup> Experimental TBI work in fluid percussion has demonstrated aberrant stress responses after injury,<sup><xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R40" ref-type="bibr">40</xref></sup> yet the work linking dysfunctional stress responses after TBI is both complex and likely temporally and receptor dependent. Previous experimental work suggests GR inhibition with mifepristone can mitigate a disrupted neuroendocrine stress response.<sup><xref rid="R41" ref-type="bibr">41</xref></sup> Other experimental studies suggest MR stimulation, in the setting of reduced plasma corticosterone, improves spatial memory early after TBI<sup><xref rid="R42" ref-type="bibr">42</xref></sup> and that GR down-regulation and MR upregulation are both necessary in the setting of low endogenous corticosterone levels to promote neuronal survival and spatial learning and memory early after TBI.<sup><xref rid="R43" ref-type="bibr">43</xref></sup> Future work is needed to elucidate how cortisol stress responses are disrupted clinically after TBI and how CNS GR/MR balance in TBI recovery affects learning and memory over time. Future work may also require specific focus on age and sex HPA response moderators,<sup><xref rid="R44" ref-type="bibr">44</xref>,<xref rid="R45" ref-type="bibr">45</xref></sup> in appropriately sized TBI and control cohorts, particularly given some indication in our survivor data that age and sex affect early cortisol profiles post-TBI.</p><p id="P31">Imaging studies characterizing CNS cortisol effects on specific brain structures suggest structure-specific vulnerability to elevated cortisol levels. One study using pharmacological functional magnetic resonance imaging found that acute hydrocortisone administration resulted in a time dependent increase in hippocampus blood-oxygen-level dependent signals, indicating cortisol may have rapid effects on structures like the hippocampus.<sup><xref rid="R46" ref-type="bibr">46</xref></sup> Another studied reported that long term effects of excessive cortisol exposure due to Cushing&#x02019;s syndrome led to brain volume loss and grey and white matter abnormalities that affect the hippocampus and medial frontal and anterior cingulate gyri.<sup><xref rid="R47" ref-type="bibr">47</xref></sup> These changes may be reversible after cortisol level correction.<sup><xref rid="R19" ref-type="bibr">19</xref>,<xref rid="R47" ref-type="bibr">47</xref></sup> Given knowledge of ongoing brain volume atrophy in the context of TBI<sup><xref rid="R33" ref-type="bibr">33</xref></sup> and our findings of acute hypercortisolemia, future work should evaluate if acute cortisol exposure contributes to or accelerates TBI-related brain atrophy. The role of persistent hypocortisolemia on brain atrophy post-TBI should also be explored. Prior reports using a larger cohort from our center suggest that acute adrenal insufficiency (AI) can occur after severe TBI, but AI status did not adversely affect acute care mortality, vasopressor or corticosteroid use, or six month global outcome.<sup><xref rid="R6" ref-type="bibr">6</xref></sup></p><p id="P32">Although our work only evaluates cortisol levels over days 0&#x02013;5 post-injury, our data suggest high cortisol levels early after TBI may portend ongoing hypercortisolemia that contributes to long-term cognitive impairments. If true, hypercortisolemia may affect entire brain network function after TBI.<sup><xref rid="R48" ref-type="bibr">48</xref></sup> More research is needed to examine how cortisol affects cognitive neural networks, and associated vulnerable structures, after TBI. For example, elevated levels may persist and lead to ongoing increases in GR binding involving brain regions relevant to cognition. Differential binding affinities associated with MR&#x02019;s versus GR&#x02019;s may leave regions with higher GR densities relative to MR&#x02019;s vulnerable to damage due to hypercortisolemia.<sup><xref rid="R49" ref-type="bibr">49</xref></sup> Further, adverse effects of hypercortisolemia on plasticity and neurogenesis mechanisms after TBI may result from specific receptor activation. For example, MR agonists can increase LTP while GR activation can decrease LTP.<sup><xref rid="R50" ref-type="bibr">50</xref></sup> TBI recovery relies on injury-induced increases in plastic activity to support brain repair, which we hypothesize may be hampered in the setting of hypercortisolemia.<sup><xref rid="R51" ref-type="bibr">51</xref></sup></p><p id="P33">We note that trajectory groups in both serum and CSF have cognitive composite scores below normal (&#x0003c;50), and we describe domain-specific and total cognitive composite scores at levels considered cognitively impaired (&#x0003c;40). However, the lower scores in the <italic>high</italic> trajectory groups suggest a cortisol dose-response effect. Clinically meaningful differences in cognitive testing may generally be detected at 0.5 standard deviation differences,<sup><xref rid="R52" ref-type="bibr">52</xref></sup> representing a 5 point difference in the current study, which we observed between trajectory groups in several domains. Memory domain performance in our study was impaired in both <italic>high</italic> and <italic>low</italic> trajectory groups but were not different between groups in serum or CSF, suggesting there may be a ceiling effect for cortisol with respect to memory relative to other domains. Memory impairment also is fairly nonselective and universal after moderate-to-severe TBI,<sup><xref rid="R53" ref-type="bibr">53</xref></sup> potentially explaining why cortisol may have less specific direct effects on memory compared to other domains. Other reasons for memory being insensitive to acute cortisol profiles may include the neuropsychological tests selected for this study, sample size, and the exclusion of those too severely injured to complete testing.</p><p id="P34">Higher education and hospital LOS, were also associated with cognitive performance. Higher education has been associated with more cognitive reserve and better outcomes after TBI,<sup><xref rid="R54" ref-type="bibr">54</xref></sup> and longer LOS has been associated with more severe injuries and with older age,<sup><xref rid="R55" ref-type="bibr">55</xref></sup> both of which are consistent with our findings. Contusion was marginally associated with both CSF and serum cortisol levels and also with cognitive composite scores. Although our review of the literature finds no evidence that contusions increase cortisol levels, one might surmise that the intraparenchymal blood and lesion burden associated with contusion might affect cortisol levels. However, multivariable analyses show that CSF and serum cortisol TRAJ remained significantly associated with cognitive composite scores, even when adjusting for contusion. Thus, despite the postulation that intraparenchymal blood associated with contusions may affect CSF and serum cortisol, our data show that cortisol independently affects cognition.</p><p id="P35">This study has several limitations and future directions to consider. Our cohort was limited to survivors with acute cortisol levels and 6-month cognitive testing. Individuals cognitively unable to complete neuropsychological testing were excluded, so cognition in this cohort may not accurately represent more severe cognitive dysfunction. Since this study only examines acute cortisol profiles in patients, we cannot conclude if early elevated cortisol directly causes these cognitive deficits or simply reflects the start of a chronic hypercortisolemic state that contributes to cognitive impairment. However, rates of chronic central hypoadrenalism range from 5% to 46% after TBI,<sup><xref rid="R56" ref-type="bibr">56</xref></sup> suggesting that hypercortisolemia is likely to be a time-limited phenomenon and that acute cortisol exposure may contribute significantly to cognition, in its own right, after TBI. Yet, it remains unknown how acute cortisol profiles correspond to cortisol measurements in subsequent months post-injury,<sup><xref rid="R56" ref-type="bibr">56</xref></sup> particularly in the setting of ongoing inflammation post-TBI.<sup><xref rid="R57" ref-type="bibr">57</xref></sup> Unmeasured health and environmental post-acute factors may also influence stress and cortisol levels, including socioeconomic challenges, caregiver support, or other adverse life or health events occurring between initial hospitalization due to TBI and 6-month outcomes. As an observational study, we also cannot determine if cortisol profiles directly influence cognition or are indicators of other processes affecting cognition. We assessed serum/CSF cortisol levels, but hair or urinary cortisol may offer more stable measurements that reflect total cortisol exposure over time, particularly when monitoring TBI recovery. Salivary cortisol profiles post-TBI may be feasible in tracking diurnal cortisol variation for those cognitively able to complete this type of complex testing in home and community settings.</p><p id="P36">Cortisol secretion is not the only stress response factor that may affect cognition. For example, catecholamines can be affected by stress,<sup><xref rid="R58" ref-type="bibr">58</xref></sup> and alterations may perpetuate cognitive decline in the setting of TBI.<sup><xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R34" ref-type="bibr">34</xref></sup> Since inflammatory signaling regulates both HPA and catecholamine pathways, inflammatory pathway relationships to both catecholamine and cortisol production over time should be assessed together for their independent and interrelated impacts on cognitive function after TBI. HPA axis function, inflammation, and catecholaminergic tone can all be modulated by lifestyle interventions like yoga<sup><xref rid="R59" ref-type="bibr">59</xref></sup> and mindfulness,<sup><xref rid="R60" ref-type="bibr">60</xref></sup> presenting therapeutic non-pharmacologic, rehabilitation-relevant interventions for at-risk individuals that may improve cognitive outcomes after TBI.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>1</label><media xlink:href="NIHMS1739525-supplement-1.pdf" orientation="portrait" id="d40e830" position="anchor"/></supplementary-material></sec></body><back><ack id="S25"><title>ACKNOWLEDGEMENTS:</title><p id="P37">National Institute on Disability and Rehabilitation Research (Grant Number: NIDILRR 90DP0041, Wagner); US Department of Defense (Grant Number: W81XWH-07-1-0701, Wagner); National Institutes of Health (Grant Number: TL1 TR001858, Kumar; Grant Number: T32HL134615, Barton).</p></ack><ref-list><title>REFERENCES</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Maas</surname><given-names>AI</given-names></name>, <name><surname>Stocchetti</surname><given-names>N</given-names></name>, <name><surname>Bullock</surname><given-names>R</given-names></name>. <article-title>Moderate and severe traumatic brain injury in adults</article-title>. <source>Lancet Neurol</source>. <year>2008</year>;<volume>7</volume>(<issue>8</issue>):<fpage>728</fpage>&#x02013;<lpage>741</lpage>. doi:<pub-id pub-id-type="doi">10.1016/S1474-4422(08)70164-9</pub-id><pub-id pub-id-type="pmid">18635021</pub-id></mixed-citation></ref><ref id="R2"><label>2.</label><mixed-citation publication-type="journal"><name><surname>Santarsieri</surname><given-names>M</given-names></name>, <name><surname>Kumar</surname><given-names>RG</given-names></name>, <name><surname>Kochanek</surname><given-names>PM</given-names></name>, <name><surname>Berga</surname><given-names>S</given-names></name>, <name><surname>Wagner</surname><given-names>AK</given-names></name>. <article-title>Variable neuroendocrine-immune dysfunction in individuals with unfavorable outcome after severe traumatic brain injury</article-title>. <source>Brain Behav Immun</source>. <year>2015</year>;<volume>45</volume>:<fpage>15</fpage>&#x02013;<lpage>27</lpage>. doi:<pub-id pub-id-type="doi">10.1016/j.bbi.2014.09.003</pub-id><pub-id pub-id-type="pmid">25218898</pub-id></mixed-citation></ref><ref id="R3"><label>3.</label><mixed-citation publication-type="journal"><name><surname>Lowenstein</surname><given-names>DH</given-names></name>. <article-title>Traumatic brain injury: a glimpse of order among the chaos?</article-title>
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Of the 94 participants, 88 subjects had serum cortisol and at least one cognitive composite score and 84 subjects had CSF cortisol and at least one cognitive composite score. Due to variations in capacity for participants to complete neuropsychological testing, small differences in cognitive domain specific sample sizes occurred. The overlap between serum and/or CSF with cognitive composite scores resulted in a cohort of 94 people. N=319 serum and N=289 CSF daily cortisol values were analyzed (mean 3.6 serum values per individual; mean 3.4 CSF values per individual). The number of serum values for days 0&#x02013;5 were 44, 60, 66, 59, 59, and 31, respectively. The number of CSF values for days 0&#x02013;5 were 26, 61, 62, 59, 56, and 27, respectively. TBI=traumatic brain injury, CSF=cerebrospinal fluid</p></caption><graphic xlink:href="nihms-1739525-f0001"/></fig><fig id="F2" orientation="portrait" position="float"><label>Figure 2.</label><caption><title>Mean Acute Serum and Cerebrospinal Fluid Cortisol Levels</title><p id="P39">(A) Acute Serum Cortisol by TRAJ Group (N=82). Daily average serum cortisol levels (ng/mL) were determined within each TRAJ group, and the error bars represent the standard error of the mean values for each day. Average serum cortisol levels were significantly different by TRAJ group for days 1&#x02013;4 (p&#x02264; 0.05*), and there was a trend for differences in cortisol levels on day 5 (p=0.0519&#x001c2;). Control group mean level for serum cortisol was 139.8 ng/mL (SE: 11.9, SD: 48.9). (B) Acute CSF Cortisol by TRAJ Group (N=79). Average CSF cortisol levels (ng/mL) were determined by day within each TRAJ group and the error bars represent the standard error of the mean values for each day. Average CSF cortisol levels were significantly different for days 0&#x02013;5 (p&#x02264; 0.05*) between the two TRAJ groups. Control group mean level for CSF cortisol was 4.5 ng/mL (SE: 0.4, SD: 1.5). TRAJ=trajectory analysis, CSF=cerebrospinal fluid</p></caption><graphic xlink:href="nihms-1739525-f0002"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1.</label><caption><p id="P40">Demographic and clinical information for all participants with either serum and/or CSF cortisol and at least one composite score and demographics split by serum and CSF</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="3" align="left" valign="middle" colspan="1"/><th rowspan="3" align="center" valign="top" colspan="1">Total Population (n=94)</th><th colspan="3" align="left" valign="middle" rowspan="1">Serum Cort TRAJ</th><th colspan="3" align="left" valign="middle" rowspan="1">CSF Cort TRAJ</th></tr><tr><th colspan="6" align="left" valign="middle" rowspan="1">
<hr/>
</th></tr><tr><th align="center" valign="middle" rowspan="1" colspan="1">Decliner Group (N=29)</th><th align="center" valign="middle" rowspan="1" colspan="1">High Group (N=53)</th><th align="center" valign="middle" rowspan="1" colspan="1">p-value</th><th align="center" valign="middle" rowspan="1" colspan="1">Low Group (N=54)</th><th align="center" valign="middle" rowspan="1" colspan="1">High Group (N=25)</th><th align="center" valign="middle" rowspan="1" colspan="1">p-value</th></tr><tr><th colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Age, mean (SE)</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">32.1 (1.32)</td><td align="left" valign="bottom" rowspan="1" colspan="1">27.10 (1.92)</td><td align="left" valign="bottom" rowspan="1" colspan="1">34.19 (1.78)</td><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>0.010</bold>
<xref rid="TFN2" ref-type="table-fn">**</xref>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">30.94 (1.67)</td><td align="left" valign="bottom" rowspan="1" colspan="1">35.20 (2.72)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.217</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>GCS, median (IQR)</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">7.00 (2.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">7.00 (2.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">7.00 (2.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.124</td><td align="left" valign="bottom" rowspan="1" colspan="1">7.00 (3.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">7.00 (2.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.811</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Sex, Males (%)</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">77 (78.57)</td><td align="left" valign="middle" rowspan="1" colspan="1">25 (86.21)</td><td align="left" valign="middle" rowspan="1" colspan="1">39 (73.58)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.187</td><td align="left" valign="middle" rowspan="1" colspan="1">48 (88.89)</td><td align="left" valign="middle" rowspan="1" colspan="1">16 (64.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.014</bold>
<xref rid="TFN2" ref-type="table-fn">**</xref>
</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Race, n (%)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Caucasian</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">87 (92.55)</td><td align="left" valign="bottom" rowspan="1" colspan="1">26 (89.66)</td><td align="left" valign="bottom" rowspan="1" colspan="1">49 (92.45)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.694</td><td align="left" valign="bottom" rowspan="1" colspan="1">54 (92.59)</td><td align="left" valign="bottom" rowspan="1" colspan="1">24 (96.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1.00</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>African American</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">7 (7.45)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (10.34)</td><td align="left" valign="middle" rowspan="1" colspan="1">4 (7.55)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">4 (7.41)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (4.00)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Education, mean (SE)</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">12.56 (0.19)</td><td align="left" valign="bottom" rowspan="1" colspan="1">13.08 (0.35)</td><td align="left" valign="bottom" rowspan="1" colspan="1">12.39 (0.24)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.124</td><td align="left" valign="bottom" rowspan="1" colspan="1">12.43 (0.28)</td><td align="left" valign="bottom" rowspan="1" colspan="1">12.91 (0.34)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.325</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>ISS, mean (SE)</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">32.93 (1.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">33.38 (1.33)</td><td align="left" valign="bottom" rowspan="1" colspan="1">32.70 (1.53)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.515</td><td align="left" valign="bottom" rowspan="1" colspan="1">33.20 (1.28)</td><td align="left" valign="bottom" rowspan="1" colspan="1">29.92 (1.88)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.107</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Non-Head ISS, mean (SE)</td><td align="left" valign="bottom" rowspan="1" colspan="1">12.64 (1.14)</td><td align="left" valign="bottom" rowspan="1" colspan="1">11.46 (1.97)</td><td align="left" valign="bottom" rowspan="1" colspan="1">13.24 (1.61)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.691</td><td align="left" valign="bottom" rowspan="1" colspan="1">12.96 (1.54)</td><td align="left" valign="bottom" rowspan="1" colspan="1">11.32 (1.95)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.694</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">LOS, mean (SE)</td><td align="left" valign="bottom" rowspan="1" colspan="1">21.55 (1.08)</td><td align="left" valign="bottom" rowspan="1" colspan="1">21.62 (2.07)</td><td align="left" valign="bottom" rowspan="1" colspan="1">21.73 (1.46)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.977</td><td align="left" valign="bottom" rowspan="1" colspan="1">21.28 (1.43)</td><td align="left" valign="bottom" rowspan="1" colspan="1">21.64 (1.78)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.557</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">MOI (n, %)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>MVA</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">43 (47.25)</td><td align="left" valign="middle" rowspan="1" colspan="1">16 (57.14)</td><td align="left" valign="middle" rowspan="1" colspan="1">22 (44.00)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">24 (46.15)</td><td align="left" valign="middle" rowspan="1" colspan="1">10 (43.48)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Bus</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (1.10)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (2.00)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (4.35)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Truck</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (2.20)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (7.14)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Motorcycle</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">23 (25.27)</td><td align="left" valign="bottom" rowspan="1" colspan="1">7 (25.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">12 (24.00)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1">15 (28.85)</td><td align="left" valign="bottom" rowspan="1" colspan="1">6 (26.09)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Off-Road Vehicle</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">4 (4.40)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (3.57)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (6.00)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">2 (3.85)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (4.35)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Bicycle</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (2.20)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (4.00)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">1 (1.92)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Fall/jump</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">9 (9.89)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1 (3.57)</td><td align="left" valign="bottom" rowspan="1" colspan="1">6 (12.00)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1">3 (5.77)</td><td align="left" valign="bottom" rowspan="1" colspan="1">5 (21.74)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Assault/Fight</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (3.30)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (3.57)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (4.00)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">2 (3.85)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Hit by falling object</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (1.10)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">1 (1.92)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Other</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (2.20)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (2.53)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">2 (3.85)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Complications (n, %)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Pulmonary</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">63 (71.59)</td><td align="left" valign="middle" rowspan="1" colspan="1">21 (84.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">37 (74.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.330</td><td align="left" valign="middle" rowspan="1" colspan="1">37 (78.72)</td><td align="left" valign="middle" rowspan="1" colspan="1">16 (66.67)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.269</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Infectious Disease</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">10 (11.90)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (12.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">6 (12.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1.000</td><td align="left" valign="middle" rowspan="1" colspan="1">4 (8.51)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (12.50)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.682</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Cardio</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">8 (9.52)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (8.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">4 (8.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1.000</td><td align="left" valign="middle" rowspan="1" colspan="1">4 (8.51)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (8.33)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1.000</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>MSK</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (1.19)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (4.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.333</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (2.13)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1.000</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>HEME</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">8 (9.52)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (4.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">6 (12.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.413</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (4.26)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (12.50)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.328</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Renal</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">11 (13.10)</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (20.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">6 (12.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.490</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (10.64)</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (20.83)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.289</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Wounds</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">6 (7.14)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (6.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (6.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.394</td><td align="left" valign="middle" rowspan="1" colspan="1">4 (8.51)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (8.33)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1.000</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>GI</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">9 (10.71)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">7 (14.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.088</italic>
<xref rid="TFN1" ref-type="table-fn">*</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (6.38)</td><td align="left" valign="middle" rowspan="1" colspan="1">6 (25.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.053</italic>
<xref rid="TFN1" ref-type="table-fn">*</xref>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Neurological</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">23 (27.38)</td><td align="left" valign="middle" rowspan="1" colspan="1">10 (40.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">11 (22.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.112</td><td align="left" valign="middle" rowspan="1" colspan="1">11 (23.40)</td><td align="left" valign="middle" rowspan="1" colspan="1">8 (33.33)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.371</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Other</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">6 (7.14)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (12.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (4.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.326</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (10.64)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.159</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Injury Type (n, %)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>SDH</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">55 (58.51)</td><td align="left" valign="middle" rowspan="1" colspan="1">16 (55.17)</td><td align="left" valign="middle" rowspan="1" colspan="1">31 (58.49)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.772</td><td align="left" valign="middle" rowspan="1" colspan="1">30 (55.56)</td><td align="left" valign="middle" rowspan="1" colspan="1">16 (64.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.479</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>SAH</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">63 (67.02)</td><td align="left" valign="middle" rowspan="1" colspan="1">16 (55.17)</td><td align="left" valign="middle" rowspan="1" colspan="1">36 (67.92)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.252</td><td align="left" valign="middle" rowspan="1" colspan="1">35 (64.81)</td><td align="left" valign="middle" rowspan="1" colspan="1">19 (76.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.320</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>DAI</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">31 (32.98)</td><td align="left" valign="middle" rowspan="1" colspan="1">13 (44.83)</td><td align="left" valign="middle" rowspan="1" colspan="1">13 (24.53)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.059</italic>
<xref rid="TFN1" ref-type="table-fn">*</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">22 (40.74)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (12.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.011</bold>
<xref rid="TFN2" ref-type="table-fn">**</xref>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>EDH</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">14 (14.89)</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (17.24)</td><td align="left" valign="middle" rowspan="1" colspan="1">8 (15.09)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1.000</td><td align="left" valign="middle" rowspan="1" colspan="1">9 (16.67)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (12.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.743</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Contusion</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">33 (35.11)</td><td align="left" valign="middle" rowspan="1" colspan="1">6 (20.69)</td><td align="left" valign="middle" rowspan="1" colspan="1">22 (41.51)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.057</italic>
<xref rid="TFN1" ref-type="table-fn">*</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">17 (31.48)</td><td align="left" valign="middle" rowspan="1" colspan="1">13 (52.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.081</italic>
<xref rid="TFN1" ref-type="table-fn">*</xref>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>IVH</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">22 (23.40)</td><td align="left" valign="middle" rowspan="1" colspan="1">7 (24.14)</td><td align="left" valign="middle" rowspan="1" colspan="1">12 (22.64)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.878</italic>
</td><td align="left" valign="middle" rowspan="1" colspan="1">12 (22.22)</td><td align="left" valign="middle" rowspan="1" colspan="1">7 (28.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.576</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>ICH</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">36 (38.30)</td><td align="left" valign="middle" rowspan="1" colspan="1">13 (44.83)</td><td align="left" valign="middle" rowspan="1" colspan="1">19 (35.85)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.426</italic>
</td><td align="left" valign="middle" rowspan="1" colspan="1">16 (29.63)</td><td align="left" valign="middle" rowspan="1" colspan="1">11 (44.00)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.210</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Other</bold>
</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (2.13)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.537</italic>
</td><td align="left" valign="middle" rowspan="1" colspan="1">0 (0)</td><td align="left" valign="middle" rowspan="1" colspan="1">1 (4.00)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.317</td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Day 0&#x02013;5 Serum Cortisol (ng/mL), Mean (SE)</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">206.4 (6.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">161.4 (8.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">236.4 (7.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">&#x0003c;0.001<xref rid="TFN2" ref-type="table-fn">**</xref></td><td align="left" valign="bottom" rowspan="1" colspan="1">191.2 (8.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">241.7 (11.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">&#x0003c;0.001<xref rid="TFN2" ref-type="table-fn">**</xref></td></tr><tr><td colspan="8" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>Day 0&#x02013;5 CSF Cortisol (ng/mL), Mean (SE)</bold>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">20.3 (1.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">14.6 (2.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">24.2 (1.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">&#x0003c;0.001<xref rid="TFN2" ref-type="table-fn">**</xref></td><td align="left" valign="bottom" rowspan="1" colspan="1">14.2 (0.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">33.8 (2.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">&#x0003c;0.001<xref rid="TFN2" ref-type="table-fn">**</xref></td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P41">p&#x02264;0.10</p></fn><fn id="TFN2"><label>**</label><p id="P42">p&#x02264; 0.05.</p></fn><fn id="TFN3"><p id="P43">Abbreviations: Glasgow Coma Scale (GCS), Injury Severity Scale (ISS), Hospital Length of Stay (LOS), Mechanism of Injury (MOI), Motor Vehicle Accident (MVA), subdural Hematoma (SDH), Subarachnoid Hemorrhage (SAH), Diffuse Axonal Injury (DAI), Epidural Hematoma (EDH), Intraventricular Hemorrhage (IVH), intracerebral hemorrhage (ICH), Musculoskeletal (MSK), Gastrointestinal (GI).</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="landscape"><label>Table 2.</label><caption><p id="P44">Demographic and Clinical Characteristics Associated with Cognition</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th colspan="2" align="left" valign="middle" rowspan="1">Cognitive composite score (n=94)</th><th align="left" valign="bottom" rowspan="1" colspan="1">p-value</th></tr><tr><th colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Continuous variables</bold>
<sup><xref rid="TFN4" ref-type="table-fn">&#x000a5;</xref></sup>
</td><td colspan="3" align="left" valign="middle" rowspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">r=&#x02212;0.144</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.231</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">GCS</td><td align="left" valign="middle" rowspan="1" colspan="1">r=&#x02212;0.016</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.897</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Education</td><td align="left" valign="middle" rowspan="1" colspan="1">r=0.141</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.240</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">ISS</td><td align="left" valign="middle" rowspan="1" colspan="1">r=&#x02212;0.064</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.593</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Non-Head ISS</td><td align="left" valign="middle" rowspan="1" colspan="1">r=&#x02212;0.099</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.436</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">LOS</td><td align="left" valign="middle" rowspan="1" colspan="1">r=&#x02212;0.332</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.005</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>Categorical variables</bold>
<sup><xref rid="TFN5" ref-type="table-fn">&#x0253c;</xref></sup>
</td><td colspan="3" align="left" valign="middle" rowspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1">0.248</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Males</td><td align="left" valign="bottom" rowspan="1" colspan="1">39.0 (6.4)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Females</td><td align="left" valign="middle" rowspan="1" colspan="1">36.2 (8.6)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Race</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">0.733</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Caucasian</td><td align="left" valign="bottom" rowspan="1" colspan="1">38.4 (7.2)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;African American</td><td align="left" valign="middle" rowspan="1" colspan="1">38.0 (4.4)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Complications</td><td align="left" valign="bottom" rowspan="1" colspan="1">With complications</td><td align="left" valign="bottom" rowspan="1" colspan="1">Without complications</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Pulmonary</td><td align="left" valign="middle" rowspan="1" colspan="1">37.9 (6.7)</td><td align="left" valign="middle" rowspan="1" colspan="1">39.0 (7.0)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.457</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Infectious Disease</td><td align="left" valign="middle" rowspan="1" colspan="1">35.8 (11.4)</td><td align="left" valign="middle" rowspan="1" colspan="1">38.3 (6.4)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.704</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Cardio</td><td align="left" valign="bottom" rowspan="1" colspan="1">38.8 (8.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">38.1 (6.6)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.907</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;MSK</td><td align="left" valign="middle" rowspan="1" colspan="1">n/a</td><td align="left" valign="middle" rowspan="1" colspan="1">n/a</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;HEME</td><td align="left" valign="bottom" rowspan="1" colspan="1">26.4 (0.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">38.8 (6.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.007</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Renal</td><td align="left" valign="bottom" rowspan="1" colspan="1">35.4 (7.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">38.6 (6.5)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.252</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Wounds</td><td align="left" valign="bottom" rowspan="1" colspan="1">45.4 (2.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">37.5 (6.6)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.007</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;GI</td><td align="left" valign="bottom" rowspan="1" colspan="1">41.4 (4.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">37.8 (6.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.325</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Neurological</td><td align="left" valign="middle" rowspan="1" colspan="1">40.7 (5.3)</td><td align="left" valign="middle" rowspan="1" colspan="1">37.5 (6.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.108</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Other</td><td align="left" valign="bottom" rowspan="1" colspan="1">37.0 (4.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">38.3 (6.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.672</td></tr><tr><td colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Injury Type</td><td align="left" valign="bottom" rowspan="1" colspan="1">With injury type</td><td align="left" valign="bottom" rowspan="1" colspan="1">Without injury type</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;SDH</td><td align="left" valign="middle" rowspan="1" colspan="1">38.0 (7.0)</td><td align="left" valign="middle" rowspan="1" colspan="1">38.9 (7.0)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.446</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;SAH</td><td align="left" valign="middle" rowspan="1" colspan="1">38.1 (7.1)</td><td align="left" valign="middle" rowspan="1" colspan="1">39.1 (6.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.668</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;DAI</td><td align="left" valign="middle" rowspan="1" colspan="1">40.0 (6.5)</td><td align="left" valign="middle" rowspan="1" colspan="1">38.0 (7.2)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.313</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;EDH</td><td align="left" valign="middle" rowspan="1" colspan="1">40.6 (4.1)</td><td align="left" valign="middle" rowspan="1" colspan="1">38.1 (7.3)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.388</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Contusion</td><td align="left" valign="bottom" rowspan="1" colspan="1">36.5 (6.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">39.4 (6.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.076</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;IVH</td><td align="left" valign="bottom" rowspan="1" colspan="1">37.9 (6.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">38.5 (7.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.824</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;ICH</td><td align="left" valign="middle" rowspan="1" colspan="1">37.8 (8.0)</td><td align="left" valign="middle" rowspan="1" colspan="1">39.0 (6.5)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.898</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Other</td><td align="left" valign="bottom" rowspan="1" colspan="1">33.6 (10.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">38.5 (6.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.410</td></tr></tbody></table><table-wrap-foot><fn id="TFN4"><label>&#x000a5;:</label><p id="P45">Spearman correlations provided between continuous variables and cognitive composite score</p></fn><fn id="TFN5"><label>&#x0253c;:</label><p id="P46">Mean differences (and standard deviation) in cognitive composite score provided by categorical variables</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" position="float" orientation="portrait"><label>Table 3.</label><caption><p id="P47">Average composite scores by serum and CSF TRAJ groups</p></caption><table frame="hsides" rules="rows"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th rowspan="2" align="left" valign="middle" colspan="1">Composite, Mean (SE)</th><th colspan="3" align="center" valign="middle" rowspan="1">Serum</th><th colspan="3" align="center" valign="middle" rowspan="1">CSF</th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1">Decliner Group (N=29)</th><th align="left" valign="middle" rowspan="1" colspan="1">High Group (N=53)</th><th align="left" valign="middle" rowspan="1" colspan="1">p-value</th><th align="left" valign="middle" rowspan="1" colspan="1">Low Group (N=54)</th><th align="left" valign="middle" rowspan="1" colspan="1">High Group (N=25)</th><th align="left" valign="middle" rowspan="1" colspan="1">p-value</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Executive Function</td><td align="left" valign="middle" rowspan="1" colspan="1">48.84 (1.72)</td><td align="left" valign="middle" rowspan="1" colspan="1">42.88 (1.27)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.008</bold>
<xref rid="TFN7" ref-type="table-fn">**</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">46.77 (1.19)</td><td align="left" valign="middle" rowspan="1" colspan="1">40.82 (1.73)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.002</bold>
<xref rid="TFN7" ref-type="table-fn">**</xref>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Attention</td><td align="left" valign="middle" rowspan="1" colspan="1">36.34 (2.65)</td><td align="left" valign="middle" rowspan="1" colspan="1">33.57 (1.54)</td><td align="left" valign="middle" rowspan="1" colspan="1">0.168</td><td align="left" valign="middle" rowspan="1" colspan="1">38.43 (1.75)</td><td align="left" valign="middle" rowspan="1" colspan="1">29.15 (2.66)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.011</bold>
<xref rid="TFN6" ref-type="table-fn">*</xref>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Verbal Fluency</td><td align="left" valign="middle" rowspan="1" colspan="1">40.54 (1.84)</td><td align="left" valign="middle" rowspan="1" colspan="1">32.70 (1.66)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.002</bold>
<xref rid="TFN7" ref-type="table-fn">**</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">36.93 (1.60)</td><td align="left" valign="middle" rowspan="1" colspan="1">30.28 (2.43)</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.046</bold>
<xref rid="TFN6" ref-type="table-fn">*</xref>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Memory</td><td align="left" valign="bottom" rowspan="1" colspan="1">35.67 (2.36)</td><td align="left" valign="bottom" rowspan="1" colspan="1">34.43 (2.01)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.646</td><td align="left" valign="bottom" rowspan="1" colspan="1">35.99 (1.87)</td><td align="left" valign="bottom" rowspan="1" colspan="1">33.39 (3.31)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.464</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Overall</td><td align="left" valign="bottom" rowspan="1" colspan="1">41.66 (1.07)</td><td align="left" valign="bottom" rowspan="1" colspan="1">36.71 (1.09)</td><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>0.002</bold>
<xref rid="TFN7" ref-type="table-fn">**</xref>
</td><td align="left" valign="bottom" rowspan="1" colspan="1">39.83 (0.95)</td><td align="left" valign="bottom" rowspan="1" colspan="1">34.69 (1.79)</td><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>0.015</bold>
<xref rid="TFN6" ref-type="table-fn">*</xref>
</td></tr></tbody></table><table-wrap-foot><fn id="TFN6"><label>*</label><p id="P48">p&#x02264; 0.05</p></fn><fn id="TFN7"><label>**</label><p id="P49">p&#x02264; 0.01. Results from Mann-Whitney U tests shown comparing mean values by TRAJ group</p></fn><fn id="TFN8"><p id="P50">Abbreviations: TRAJ (trajectory group), CSF (cerebrospinal fluid)</p></fn></table-wrap-foot></table-wrap><table-wrap id="T4" position="float" orientation="portrait"><label>Table 4.</label><caption><p id="P51">Multivariable linear regression of overall composites and domain scores at 6 months for serum and CSF cohort</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th colspan="2" align="center" valign="middle" rowspan="1">Serum TRAJ Model</th><th colspan="2" align="left" valign="middle" rowspan="1">CSF TRAJ Model</th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th colspan="4" align="left" valign="middle" rowspan="1">
<hr/>
</th></tr><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Variable</th><th align="left" valign="bottom" rowspan="1" colspan="1">Beta</th><th align="left" valign="bottom" rowspan="1" colspan="1">p-value</th><th align="left" valign="bottom" rowspan="1" colspan="1">Beta</th><th align="left" valign="bottom" rowspan="1" colspan="1">p-value</th></tr></thead><tbody><tr><td colspan="5" align="left" valign="bottom" rowspan="1">Multivariable Model to Overall Composite Scores<hr/></td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Age</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.010</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.400</td><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02212;0.025</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.721</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Years of Education</td><td align="left" valign="middle" rowspan="1" colspan="1">0.265</td><td align="left" valign="middle" rowspan="1" colspan="1">0.605</td><td align="left" valign="middle" rowspan="1" colspan="1">0.387</td><td align="left" valign="middle" rowspan="1" colspan="1">0.441</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Sex (Men vs. women)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.933</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.641</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.521</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.817</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Contusion</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;3.347</td><td align="left" valign="middle" rowspan="1" colspan="1">
<italic>0.061</italic>
<xref rid="TFN9" ref-type="table-fn">*</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;2.184</td><td align="left" valign="middle" rowspan="1" colspan="1">0.237</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Cort TRAJ (high vs. decliner/low)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;4.232</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.024</bold>
<xref rid="TFN10" ref-type="table-fn">**</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;4.733</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.021</bold>
<xref rid="TFN10" ref-type="table-fn">**</xref>
</td></tr><tr><td colspan="5" align="left" valign="middle" rowspan="1"><hr/>Cort TRAJ (high vs. decliner/low) Betas in Multivariable Model to Domain Scores<sup><xref rid="TFN11" ref-type="table-fn">&#x0253c;</xref></sup><hr/></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Executive Function</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;4.931</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.039</bold>
<xref rid="TFN10" ref-type="table-fn">**</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;4.952</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.041</bold>
<xref rid="TFN10" ref-type="table-fn">**</xref>
</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Attention</td><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02212;2.443</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.407</td><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02212;6.538</td><td align="left" valign="bottom" rowspan="1" colspan="1">
<bold>0.034</bold>
<xref rid="TFN10" ref-type="table-fn">**</xref>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Verbal Fluency</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;6.469</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.029</bold>
<xref rid="TFN10" ref-type="table-fn">**</xref>
</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;6.528</td><td align="left" valign="middle" rowspan="1" colspan="1">
<bold>0.031</bold>
<xref rid="TFN10" ref-type="table-fn">**</xref>
</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Memory</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.063</td><td align="left" valign="middle" rowspan="1" colspan="1">0.985</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;3.227</td><td align="left" valign="middle" rowspan="1" colspan="1">0.401</td></tr></tbody></table><table-wrap-foot><fn id="TFN9"><label>*</label><p id="P52">p&#x02264;0.10</p></fn><fn id="TFN10"><label>**</label><p id="P53">p&#x02264; 0.05.</p></fn><fn id="TFN11"><label>&#x0253c;</label><p id="P54">Domain score models adjusted for age, education, sex, and contusion</p></fn></table-wrap-foot></table-wrap></floats-group></article>