following injury. Controls groups received an IV administration of saline.
DCE-MRI analysis indicated that there is a significant increase in GI
vascular permeability in injured animals compared to uninjured animals
at 48 hours after injury. We observed a significant decrease in GI vascular
permeability following a single IV injection of Ang-1 (300
l
g) compared
to saline treated animals. In addition, Ang-1 treatment produced a
qualitative improvement in GI morphological outcome. SCI produced
disruption in GI villi compared to naive, uninjured control mice in H&E
stained GI tract sections. Ang-1 (300
l
g) treated animals exhibited re-
duced GI villi damage compared to vehicle-treated subjects. Taken to-
gether the data suggests that promoting vascular stability following SCI
by an IV administration of Ang-1 not only reduces GI vascular perme-
ability but also appears to preserve intestinal villi.
Keywords: gastrointestinal, dynamic contrast enhanced imaging,
vascular permeability
S12 Open Communication: Clinical
S12-01
A PROGNOSTIC MODEL FOR DETERMINING ONE-
MONTH OUTCOMES IN MILD TRAUMATIC BRAIN INJURY
Hayley Falk
, HeadSMART Investigators
Johns Hopkins University School of Medicine, Emergency Medicine,
Baltimore, USA
There are currently no tools for aiding emergency physicians in edu-
cating mild traumatic brain injury (mTBI) patients regarding the
prognosis of their injury. We sought to derive a model for identifying
mTBI patients at risk for incomplete recovery from their symptoms at
1-month after injury. We analyzed data from a prospective cohort of
TBI patients presenting to an urban emergency department (ED) (The
Head
injury
S
erum
M
arkers for
A
ssessing
R
esponse to
T
rauma
[HeadSMART] cohort). Subjects presenting within 24 hours of injury
were interviewed on the day of injury. Telephone interviews were
performed at 1-month after injury to determine TBI outcomes. In-
complete recovery was defined as Glasgow Outcome Scale Extended
(GOSE)
<
8. Prognostic models were built using univariable and mul-
tivariable logistic regression methods and stepwise selection proce-
dures. A total of 194 subjects were enrolled between April 2014 and
February 2015. Of this number, 108 were mTBI patients with a pre-
senting Glasgow Coma Scale (GCS) of 14 or 15; a negative head CT
scan; and 1-month follow-up data were included in this analysis. Within
this subpopulation, 52.8% (57/108) had GOSE
<
8 at 1 month. Predictor
variables included in the final prognostic model were altered mental
status at presentation (AMS), gender, race (African-American or non-
African American), work-related injury, dangerous injury mechanism
(ejection from motor vehicle, pedestrian struck, fall from height
>
3ft or
5 stairs), and other injury (solid organ injury or bony fracture). This
model discriminated between subjects with and without incomplete
recovery with an area under the receiver operator curve (AUC) of 0.82
(95% CI: 0.73 – 0.88). A HeadSMART30 score was computed by
assigning a score of 2 for AMS, 1 for female gender, 2 for African-
American, 2 for work-related injury, 1 for dangerous mechanism and 1
for other injury. Subjects with a HeadSMART30
<
7; 7 and 8; 9 and 10;
and greater than 10 had a 1-month risk of incomplete recovery of 0%,
27%, 71% and 86% respectively. This study provides preliminary ev-
idence that prognostication of mTBI outcome using readily available
clinical and demographic data is feasible.
Keywords: prognostic models, GOSE, TBI
S12-02
AN INITIAL EVALUATION OF THE NINDS PHENOTYPING
COMMON DATA ELEMENTS FOR TRAUMATIC BRAIN
INJURY
John Dsurney
2
, Shannon McNally
1
, Andre van der Merwe
2
, Leighton
Chan
1,2
1
National Institutes of Health, Clinical Center, Bethesda, USA
2
Center for Neuroscience and Regenerative Medicine, Phenotyping
Core, Rockville, USA
Introduction:
In 2010, the NIH and other federal agencies identified a
list of Common Data Elements (CDE) that might be used in traumatic
brain injury (TBI) research. The selection of these instruments was not
empirically based, but was guided by their availability in the public
domain, the availability of alternate forms, and, most importantly,
expert opinion regarding the utility of the tests. The present study
undertakes an empirical examination of these instruments, comparing
their performance to other tests.
Methods:
A total of 111 (62% male) subjects who had sustained a
closed head injury were seen at 30, 90, 180 and/or 365 days post
injury. Subjects were administered eight of the ten original ‘‘core’’
neuropsychological CDE’s, two ‘‘core’’ CDE’s were replaced by
equivalent ‘‘supplemental’’ measures. Subjects were also adminis-
tered seven additional ‘‘supplemental’’ CDE’s, as well as additional
well validated, commonly used neuropsychological tests. The per-
centage of individuals classified as ‘‘impaired’’ (scoring less than one
standard deviation below the mean) was calculated for each time point
and by severity.
Results:
Our cohort included 60 mild, 33 moderate, and 18 severe
patients with TBI. Of the original CDE’s, the Trail Making Tests
(TMT) A and B and California Verbal Learning Test (CVLT-2) were
the most sensitive, identifying impairment regardless of patient se-
verity or time since injury. Other original CDE tests, such the Wis-
consin Card Sort did not perform as well. In addition, some other tests,
such as the Booklet Category Test, Sea Shore Rhythm Test, Con-
trolled Oral Word Association Test, Grooved Pegboard, and Finger
Tapping Tests consistently identified impairment, outperformed the
original CDE’s.
Conclusions:
Only some of the current CDE’s were useful in our
cohort. These included: TMT A and B, BSI and CVLT-2. In addition,
a number of tests not included as original CDE’s demonstrated sen-
sitivity in the evaluation of TBI subjects and are recommended for use
in this population.
Keywords: Common Data Elements, Neuropsychological, Out-
comes, Phenotyping
S12-03
ADOLESCENT TRAUMATIC BRAIN INJURY INCREASES
ALCOHOL CONSUMPTION AND REWARD IN FEMALE
MICE
Zachary Weil
1
, Kate Karelina
1
, Kristopher Gaier
1
, Timothy
Corrigan
1
, John Corrigan
2
1
Ohio State University Wexner Medical Center, Department of Neu-
roscience, Columbus, USA
2
Ohio State University Wexner Medical Center, Department of Phy-
sical Medicine and Rehabilitation, Columbus, USA
Traumatic brain injury (TBI) is inextricably and bidirectionally linked
with alcohol use. Some estimates implicate alcohol intoxication in one-
third to one-half of all TBI cases. Alcohol use following injury can
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