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Imaging Features, Functional Recovery, and Selected Single Nucleotide Polymorphism Data from TRACK-TBI Pilot Dataset


DOI:10.34945/F5RW24


DATASET CITATION

Nielson J. L., Cooper S. R., Yue J. K., Sorani M. D., Inoue T., Yuh E. L., Lum P. Y., Carlsson G. E., Vassar M. J., Lingsma H. F., Gordon W. A., Valadka A. B., Okonkwo D. O., Manley G. T., Ferguson A. R. (2023) Imaging Features, Functional Recovery, and Selected Single Nucleotide Polymorphism Data from TRACK-TBI Pilot Dataset. Open Data Commons for Traumatic Brain Injury. ODC-TBI:954 http://doi.org/10.34945/F5RW24


ABSTRACT

STUDY PURPOSE: The goal of this specific analysis of a small set of TRACK-TBI Pilot dataset variables was to assess the role of specific genetic polymorphisms as biomarkers of patient outcome after mild TBI with analysis of 3 single nucleotide polymorphisms (SNPs) associated with altered striatal dopamine levels: ANKK1 C/T (rs1800497), COMT Met/Val (rs4680) and DRD2 C/T rs6277 genotypes.

DATA COLLECTED: This is a set of 586 de-identified adult human patients with mild traumatic brain injury (Glasgow Coma Score >12), from a dataset previously published as supplement by Nielson et al. 2017 (see originating publication and relevant links). Seventeen outcome measures were chosen based on clinical relevance, including computed tomography (CT) features, functional recovery (Glasgow Outcome Scale-Extended), cognitive outcomes (Wechsler Adult Intelligence Scale) and post-traumatic stress disorder (PTSD). CT features were derived acutely after brain injury. The functional, cognitive, and PTSD data were collected 6 months after injury.

CONCLUSIONS: Analysis identified a unique diagnostic subgroup of patients with unfavorable outcome after mild TBI that were significantly predicted by the presence of specific genetic polymorphisms.


KEYWORDS


PROVENANCE / ORIGINATING PUBLICATIONS

RELEVANT LINKS


Previously published dataset of 586 TRACK-TBI patients from Nielson et al., 2017

https://doi.org/10.1371/journal.pone.0169490.s010

This is the originating dataset that was included as supplement to the Nielson et al., 2017 PlosOne article from which the current dataset was derived.

Minimal Published Data Dictionary from Nielson et al., 2017

https://doi.org/10.1371/journal.pone.0169490.s011

This is the original metadata/data dictionary that accompanied the previously published dataset from Nielson et al., 2017

NOTES

DATASET INFO

Contact:


Lab: TRACK-TBI De-ID Lab (beta)

ODC-TBI Accession:954

Records in Dataset: 586

Fields per Record: 26

Last updated: 2023-10-24

Date published: 2023-10-24

Downloads: 10


Files: 2


LICENSE

Creative Commons Attribution License (CC-BY 4.0)


FUNDING AND ACKNOWLEDGEMENTS


CONTRIBUTORS

Nielson, Jessica L.
University of Minnesota
Cooper, Shelly R.
UCSF
Yue, John K.
UCSF
Sorani, Marco D.
Department of Neurological Surgery, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA.
Inoue, Tomoo
UCSF
Yuh, Esther L.
Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States of America.
Mukherjee, Pratik
Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States of America.
Petrossian, Tanya C C.
Ayasdi, Inc, Palo Alto, CA, United States of America.
Paquette, Jesse
Ayasdi, Inc, Palo Alto, CA, United States of America.
Lum, Pek Y.
Ayasdi, Inc, Palo Alto, CA, United States of America.
Carlsson, Gunnar E.
Ayasdi, Inc, Palo Alto, CA, United States of America.
Vassar, Mary J.
UCSF
Lingsma, Hester F.
Public Health, Erasmus Medical Center, Rotterdam, Netherlands.
Gordon, Wayne A.
Department of Rehabilitation Medicine, Icahn School of Medicine, Mount Sinai, New York, NY, United States of America.
Valadka, Alex B.
Department of Neurosurgery, Virginia Commonwealth University, Richmond, VA, United States of America.
Okonkwo, David O.
Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA, United States of America.
Manley, Geoffrey T.
UCSF
Ferguson, Adam R.
UCSF