Literature DB >> 35963263

Prognostic value of day-of-injury plasma GFAP and UCH-L1 concentrations for predicting functional recovery after traumatic brain injury in patients from the US TRACK-TBI cohort: an observational cohort study.

Frederick K Korley1, Sonia Jain2, Xiaoying Sun2, Ava M Puccio3, John K Yue4, Raquel C Gardner5, Kevin K W Wang6, David O Okonkwo3, Esther L Yuh7, Pratik Mukherjee7, Lindsay D Nelson8, Sabrina R Taylor9, Amy J Markowitz4, Ramon Diaz-Arrastia10, Geoffrey T Manley4.   

Abstract

BACKGROUND: The prognostic value of glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1) as day-of-injury predictors of functional outcome after traumatic brain injury is not well understood. GFAP is a protein found in glial cells and UCH-L1 is found in neurons, and these biomarkers have been cleared to aid in decision making regarding whether brain CT should be performed after traumatic brain injury. We aimed to quantify their prognostic accuracy and investigate whether these biomarkers contribute novel prognostic information to existing clinical models.
METHODS: We enrolled patients from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) observational cohort study. TRACK-TBI includes patients 17 years and older who are evaluated for TBI at 18 US level 1 trauma centres. All patients receive head CT at evaluation, have adequate visual acuity and hearing preinjury, and are fluent in either English or Spanish. In our analysis, we included participants aged 17-90 years who had day-of-injury plasma samples for measurement of GFAP and UCH-L1 and completed 6-month assessments for outcome due to traumatic brain injury with the Glasgow Outcome Scale-Extended (GOSE-TBI). Biomarkers were analysed as continuous variables and in quintiles. This study is registered with ClinicalTrials.gov, NCT02119182.
FINDINGS: We enrolled 2552 patients from Feb 26, 2014, to Aug 8, 2018. Of the 1696 participants with brain injury and data available at baseline and at 6 months who were included in the analysis, 120 (7·1%) died (GOSE-TBI=1), 235 (13·9%) had an unfavourable outcome (ie, GOSE-TBI ≤4), 1135 (66·9%) had incomplete recovery (ie, GOSE-TBI <8), and 561 (33·1%) recovered fully (ie, GOSE-TBI=8). The area under the curve (AUC) of GFAP for predicting death at 6 months in all patients was 0·87 (95% CI 0·83-0·91), for unfavourable outcome was 0·86 (0·83-0·89), and for incomplete recovery was 0·62 (0·59-0·64). The corresponding AUCs for UCH-L1 were 0·89 (95% CI 0·86-0·92) for predicting death, 0·86 (0·84-0·89) for unfavourable outcome, and 0·61 (0·59-0·64) for incomplete recovery at 6 months. AUCs were higher for participants with traumatic brain injury and Glasgow Coma Scale (GCS) score of 3-12 than for those with GCS score of 13-15. Among participants with GCS score of 3-12 (n=353), adding GFAP and UCH-L1 (alone or combined) to each of the three International Mission for Prognosis and Analysis of Clinical Trials in traumatic brain injury models significantly increased their AUCs for predicting death (AUC range 0·90-0·94) and unfavourable outcome (AUC range 0·83-0·89). However, among participants with GCS score of 13-15 (n=1297), adding GFAP and UCH-L1 to the UPFRONT study model modestly increased the AUC for predicting incomplete recovery (AUC range 0·69-0·69, p=0·025).
INTERPRETATION: In addition to their known diagnostic value, day-of-injury GFAP and UCH-L1 plasma concentrations have good to excellent prognostic value for predicting death and unfavourable outcome, but not for predicting incomplete recovery at 6 months. These biomarkers contribute the most prognostic information for participants presenting with a GCS score of 3-12. FUNDING: US National Institutes of Health, National Institute of Neurologic Disorders and Stroke, US Department of Defense, One Mind, US Army Medical Research and Development Command.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35963263      PMCID: PMC9462598          DOI: 10.1016/S1474-4422(22)00256-3

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   59.935


  27 in total

Review 1.  Common data elements in radiologic imaging of traumatic brain injury.

Authors:  Ann-Christine Duhaime; Alisa D Gean; E Mark Haacke; Ramona Hicks; Max Wintermark; Pratik Mukherjee; David Brody; Lawrence Latour; Gerard Riedy
Journal:  Arch Phys Med Rehabil       Date:  2010-11       Impact factor: 3.966

2.  Point-of-Care Platform Blood Biomarker Testing of Glial Fibrillary Acidic Protein versus S100 Calcium-Binding Protein B for Prediction of Traumatic Brain Injuries: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study.

Authors:  David O Okonkwo; Ross C Puffer; Ava M Puccio; Esther L Yuh; John K Yue; Ramon Diaz-Arrastia; Frederick K Korley; Kevin K W Wang; Xiaoying Sun; Sabrina R Taylor; Pratik Mukherjee; Amy J Markowitz; Sonia Jain; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2020-09-14       Impact factor: 5.269

3.  Association between plasma GFAP concentrations and MRI abnormalities in patients with CT-negative traumatic brain injury in the TRACK-TBI cohort: a prospective multicentre study.

Authors:  John K Yue; Esther L Yuh; Frederick K Korley; Ethan A Winkler; Xiaoying Sun; Ross C Puffer; Hansen Deng; Winward Choy; Ankush Chandra; Sabrina R Taylor; Adam R Ferguson; J Russell Huie; Miri Rabinowitz; Ava M Puccio; Pratik Mukherjee; Mary J Vassar; Kevin K W Wang; Ramon Diaz-Arrastia; David O Okonkwo; Sonia Jain; Geoffrey T Manley
Journal:  Lancet Neurol       Date:  2019-08-23       Impact factor: 44.182

Review 4.  Predicting outcome after traumatic brain injury.

Authors:  Andrew I R Maas; Hester F Lingsma; Bob Roozenbeek
Journal:  Handb Clin Neurol       Date:  2015

5.  Magnetic resonance imaging improves 3-month outcome prediction in mild traumatic brain injury.

Authors:  Esther L Yuh; Pratik Mukherjee; Hester F Lingsma; John K Yue; Adam R Ferguson; Wayne A Gordon; Alex B Valadka; David M Schnyer; David O Okonkwo; Andrew I R Maas; Geoffrey T Manley
Journal:  Ann Neurol       Date:  2012-12-07       Impact factor: 10.422

6.  Acute biomarkers of traumatic brain injury: relationship between plasma levels of ubiquitin C-terminal hydrolase-L1 and glial fibrillary acidic protein.

Authors:  Ramon Diaz-Arrastia; Kevin K W Wang; Linda Papa; Marco D Sorani; John K Yue; Ava M Puccio; Paul J McMahon; Tomoo Inoue; Esther L Yuh; Hester F Lingsma; Andrew I R Maas; Alex B Valadka; David O Okonkwo; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2013-10-09       Impact factor: 5.269

7.  Glial Fibrillary Acidic Protein and Ubiquitin C-Terminal Hydrolase-L1 Are Not Specific Biomarkers for Mild CT-Negative Traumatic Brain Injury.

Authors:  Jussi P Posti; Iftakher Hossain; Riikka S K Takala; Hilkka Liedes; Virginia Newcombe; Joanne Outtrim; Ari J Katila; Janek Frantzén; Henna Ala-Seppälä; Jonathan P Coles; Anna Kyllönen; Henna-Riikka Maanpää; Jussi Tallus; Peter J Hutchinson; Mark van Gils; David K Menon; Olli Tenovuo
Journal:  J Neurotrauma       Date:  2017-01-27       Impact factor: 5.269

8.  Comparison of GFAP and UCH-L1 Measurements from Two Prototype Assays: The Abbott i-STAT and ARCHITECT Assays.

Authors:  Frederick K Korley; Saul A Datwyler; Sonia Jain; Xiaoying Sun; Gangamani Beligere; Raj Chandran; Jaime A Marino; Beth McQuiston; Hongwei Zhang; Krista L Caudle; Kevin K W Wang; Ava M Puccio; David O Okonkwo; John K Yue; Sabrina R Taylor; Amy Markowitz; Geoffrey T Manley; Ramon Diaz-Arrastia
Journal:  Neurotrauma Rep       Date:  2021-04-07

9.  Time Course and Diagnostic Accuracy of Glial and Neuronal Blood Biomarkers GFAP and UCH-L1 in a Large Cohort of Trauma Patients With and Without Mild Traumatic Brain Injury.

Authors:  Linda Papa; Gretchen M Brophy; Robert D Welch; Lawrence M Lewis; Carolina F Braga; Ciara N Tan; Neema J Ameli; Marco A Lopez; Crystal A Haeussler; Diego I Mendez Giordano; Salvatore Silvestri; Philip Giordano; Kurt D Weber; Crystal Hill-Pryor; Dallas C Hack
Journal:  JAMA Neurol       Date:  2016-05-01       Impact factor: 18.302

10.  Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI.

Authors:  Esther L Yuh; Sonia Jain; Xiaoying Sun; Dana Pisica; Mark H Harris; Sabrina R Taylor; Amy J Markowitz; Pratik Mukherjee; Jan Verheyden; Joseph T Giacino; Harvey S Levin; Michael McCrea; Murray B Stein; Nancy R Temkin; Ramon Diaz-Arrastia; Claudia S Robertson; Hester F Lingsma; David O Okonkwo; Andrew I R Maas; Geoffrey T Manley; Opeolu Adeoye; Neeraj Badjatia; Kim Boase; Yelena Bodien; John D Corrigan; Karen Crawford; Sureyya Dikmen; Ann-Christine Duhaime; Richard Ellenbogen; V Ramana Feeser; Adam R Ferguson; Brandon Foreman; Raquel Gardner; Etienne Gaudette; Luis Gonzalez; Shankar Gopinath; Rao Gullapalli; J Claude Hemphill; Gillian Hotz; C Dirk Keene; Joel Kramer; Natalie Kreitzer; Chris Lindsell; Joan Machamer; Christopher Madden; Alastair Martin; Thomas McAllister; Randall Merchant; Lindsay Nelson; Laura B Ngwenya; Florence Noel; Amber Nolan; Eva Palacios; Daniel Perl; Miri Rabinowitz; Jonathan Rosand; Angelle Sander; Gabriella Satris; David Schnyer; Seth Seabury; Arthur Toga; Alex Valadka; Mary Vassar; Ross Zafonte
Journal:  JAMA Neurol       Date:  2021-09-01       Impact factor: 18.302

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.