| Literature DB >> 34279565 |
Esther L Yuh1,2, Sonia Jain3, Xiaoying Sun3, Dana Pisica4,5, Mark H Harris1,6, Sabrina R Taylor1,6, Amy J Markowitz1,6, Pratik Mukherjee1,2, Jan Verheyden7, Joseph T Giacino8,9, Harvey S Levin10, Michael McCrea11, Murray B Stein12,13, Nancy R Temkin14, Ramon Diaz-Arrastia15, Claudia S Robertson16, Hester F Lingsma5, David O Okonkwo17, Andrew I R Maas18, Geoffrey T Manley1,6, Opeolu Adeoye19, Neeraj Badjatia20, Kim Boase21, Yelena Bodien22, John D Corrigan23, Karen Crawford24, Sureyya Dikmen21, Ann-Christine Duhaime25, Richard Ellenbogen21, V Ramana Feeser26, Adam R Ferguson27, Brandon Foreman19, Raquel Gardner27, Etienne Gaudette24, Luis Gonzalez28, Shankar Gopinath29, Rao Gullapalli20, J Claude Hemphill27, Gillian Hotz30, C Dirk Keene21, Joel Kramer27, Natalie Kreitzer19, Chris Lindsell31, Joan Machamer21, Christopher Madden32, Alastair Martin27, Thomas McAllister33, Randall Merchant26, Lindsay Nelson34, Laura B Ngwenya19, Florence Noel29, Amber Nolan27, Eva Palacios27, Daniel Perl35, Miri Rabinowitz36, Jonathan Rosand22, Angelle Sander29, Gabriella Satris27, David Schnyer37, Seth Seabury24, Arthur Toga24, Alex Valadka26, Mary Vassar27, Ross Zafonte38.
Abstract
Importance: A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have been shown to be associated with outcomes. In mild TBI (mTBI; GCS scores 13-15), distribution and co-occurrence of pathological CT features and their prognostic importance are not well understood. Objective: To identify pathological CT features associated with adverse outcomes after mTBI. Design, Setting, and Participants: The longitudinal, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled patients with TBI, including those 17 years and older with GCS scores of 13 to 15 who presented to emergency departments at 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018, and underwent head CT imaging within 24 hours of TBI. Evaluations of CT imaging used TBI Common Data Elements. Glasgow Outcome Scale-Extended (GOSE) scores were assessed at 2 weeks and 3, 6, and 12 months postinjury. External validation of results was performed via the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Data analyses were completed from February 2020 to February 2021. Exposures: Acute nonpenetrating head trauma. Main Outcomes and Measures: Frequency, co-occurrence, and clustering of CT features; incomplete recovery (GOSE scores <8 vs 8); and an unfavorable outcome (GOSE scores <5 vs ≥5) at 2 weeks and 3, 6, and 12 months.Entities:
Mesh:
Year: 2021 PMID: 34279565 PMCID: PMC8290344 DOI: 10.1001/jamaneurol.2021.2120
Source DB: PubMed Journal: JAMA Neurol ISSN: 2168-6149 Impact factor: 18.302
Demographic and Baseline Clinical Characteristics by Head Computed Tomography (CT) Status (n = 1935) in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study
| Characteristic | Total, No. (%) | Initial head CT with findings of acute intracranial abnormality, No. (%) | ||
|---|---|---|---|---|
| Negative | Positive | |||
| Sex | ||||
| Male | 1286 (66.5) | 782 (60.8) | 504 (39.2) | .004 |
| Female | 649 (33.5) | 438 (67.5) | 211 (32.5) | |
| Total | 1935 (100.0) | 1220 (63.0) | 715 (37.0) | |
| Race | ||||
| White | 1481 (77.5) | 893 (60.3) | 588 (39.7) | <.001 |
| Black | 318 (16.6) | 244 (76.7) | 74 (23.3) | |
| Other | 113 (5.9) | 71 (62.8) | 42 (37.2) | |
| Total | 1912 (100.0) | 1208 (63.2) | 704 (36.8) | |
| Hispanic ethnicity | ||||
| No | 1526 (79.8) | 969 (63.5) | 557 (36.5) | .68 |
| Yes | 387 (20.2) | 241 (62.3) | 146 (37.7) | |
| Total | 1913 (100.0) | 1210 (63.3) | 703 (36.7) | |
| Neuropsychiatric history | ||||
| No | 1501 (77.7) | 935 (62.3) | 566 (37.7) | .24 |
| Yes | 432 (22.3) | 283 (65.5) | 149 (34.5) | |
| Total | 1933 (100.0) | 1218 (63.0) | 715 (37.0) | |
| Prior traumatic brain injury | ||||
| Yes | 586 (31.5) | 409 (69.8) | 177 (30.2) | <.001 |
| No | 1272 (68.5) | 768 (60.4) | 504 (39.6) | |
| Total | 1858 (100.0) | 1177 (63.3) | 681 (36.7) | |
| Care pathway | ||||
| Emergency department discharge | 503 (26.0) | 453 (90.1) | 50 (9.9) | <.001 |
| Hospital admission without intensive care | 833 (43.0) | 584 (70.1) | 249 (29.9) | |
| Hospital admission with intensive care | 599 (31.0) | 183 (30.6) | 416 (69.4) | |
| Total | 1935 (100.0) | 1220 (63.0) | 715 (37.0) | |
| Age, y | ||||
| Mean (SD) | 41.5 (17.6) | 37.7 (15.8) | 47.8 (18.7) | <.001 |
| Median (IQR) [range] | 38 (26-55) [17-90] | 34 (24-50) [17-88] | 48 (31-64) [17-90] | |
| Education, y | ||||
| Mean (SD) | 13.5 (2.9) | 13.4 (2.7) | 13.6 (3.2) | .046 |
| Median (IQR) [range] | 13 (12-16) [0-20] | 12 (12-16) [1-20] | 13 (12-16) [0-20] | |
Abbreviation: IQR, interquartile range.
Figure 1. Examples of National Institute of Neurologic Disorders and Stroke Traumatic Brain Injury Neuroimaging Common Data Elements Corresponding to Different Subtypes of Acute Intracranial Hemorrhage
Arrowheads indicate areas of intracranial hemorrhage.
Figure 2. Distribution and Co-occurrences of Intracranial Pathology on Computed Tomography (CT) in Mild Traumatic Brain Injury (mTBI) by Cohort
A, Distribution of National Institute of Neurological Disorders and Stroke TBI Neuroimaging Common Data Elements (CDEs) in participants 17 years and older with Glasgow Coma Scale scores of 13 to 15 (n = 1935) in the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study. An UpSet plot shows that the most common pattern of acute intracranial hemorrhage is isolated subarachnoid hemorrhage (SAH), which constitutes 157 of 715 (22.0%) of all CT examinations showing intracranial hemorrhage. (Hierarchical cluster analysis demonstrates clusters of CT abnormalities. A dendrogram shows the distance at which the cluster was formed along the vertical axis, with 3 clusters: contusion, SAH, and/or subdural hematoma (SDH); intraventricular hemorrhage (IVH) and/or petechial hemorrhage; and epidural hemorrhage (EDH). The bar graph in the lower left corner shows that the most common acute intracranial abnormality was SAH (in 473 of 1935 patients [24.4%]), followed by SDH (341 [17.6%]), brain contusion (244 [12.6%]), EDH (102 [5.3%]), petechial hemorrhage (92 [4.8%]), and IVH (42 [2.2%]). B, Distribution of CDEs in participants 17 years and older with Glasgow Coma Scale scores of 13 to 15 (n = 2594) in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. An UpSet plot shows that the most common pattern of acute intracranial hemorrhage is isolated SAH, which constitutes 234 of 1175 (19.9%) of all CT examinations positive for intracranial hemorrhage. Hierarchical cluster analysis shows clusters of CT abnormalities. A dendrogram shows the distance at which the cluster was formed along the vertical axis. The most common acute CT finding was SAH (810 of 2594 patients [31.2%]), followed by brain contusion (526 [20.3%]), SDH (476 [18.4%]), EDH (211 [8.1%], IVH (116 [4.5%]), and petechial hemorrhage (99 [3.8%]).
Associations of Demographic, Baseline Clinical, and Computed Tomography (CT) Phenotypes With Incomplete Recovery at 2 Weeks and 3, 6, and 12 Months Postinjury in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study
| Variable | Odds ratio (95% CI) | |
|---|---|---|
| CT phenotypes | ||
| Contusion, subarachnoid hemorrhage, and/or subdural hematoma | ||
| 2 wk | 2.22 (1.61-3.06) | <.001 |
| 3 mo | 1.87 (1.43-2.44) | <.001 |
| 6 mo | 1.67 (1.28-2.17) | <.001 |
| 12 mo | 1.80 (1.39-2.33) | <.001 |
| Epidural hematoma | ||
| 2 wk | 3.08 (1.27-7.49) | .01 |
| 3 mo | 2.33 (1.28-4.24) | .006 |
| 6 mo | 1.27 (0.74-2.17) | .39 |
| 12 mo | 1.42 (0.85-2.37) | .18 |
| Intraventricular and/or petechial hemorrhage | ||
| 2 wk | 2.23 (1.10-4.51) | .03 |
| 3 mo | 1.16 (0.69-1.93) | .58 |
| 6 mo | 1.19 (0.74-1.92) | .46 |
| 12 mo | 1.48 (0.92-2.38) | .10 |
| Demographics | ||
| Age (55 vs 26 y) | 1.17 (1.00-1.37) | .04 |
| Years of education (16 vs 12 y) | 0.64 (0.57-0.74) | <.001 |
| Sex (male vs female) | 0.58 (0.48-0.70) | <.001 |
| Race (White vs Black) | 0.76 (0.59-0.98) | .09 |
| Race (White vs other) | 1.22 (0.89-1.67) | .43 |
| Ethnicity (Hispanic vs non-Hispanic) | 1.11 (0.86-1.43) | .43 |
| Baseline clinical characteristics | ||
| Neuropsychiatric history (yes vs no) | 1.61 (1.31-1.99) | <.001 |
| Prior traumatic brain injury (yes vs no) | 1.39 (1.16-1.67) | <.001 |
A generalized estimating equation model was used to study the association of demographic, clinical, and CT variables with incomplete recovery (Glasgow Outcome Scale–Extended [GOSE] scores <8 vs 8) at 2 weeks and 3, 6, and 12 months postinjury. The model included GOSE scores (<8 vs 8) at each follow-up as the outcome; independent variables included demographics, baseline clinical characteristics, CT phenotypes, data collection points (eg, 2 weeks), and interaction between CT phenotypes and data collection points. An unstructured working correlation matrix was used. The marginal R2 of the generalized estimating equation model was 9.1% without CT variables and 11.2% with CT variables.
For the continuous variables (age and years of education), we reported odds ratios comparing the third quartile vs the first quartile.
Other races includes Alaskan Native or Inuit, American Indian, Asian, Native Hawaiian or other Pacific Islander, and unknown categories.
Associations of Demographic, Baseline Clinical, and Computed Tomography (CT) Features With Unfavorable Outcome at 2 Weeks and 3, 6, and 12 Months Postinjury in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study
| Variable | Odds ratio (95% CI) | |
|---|---|---|
| CT phenotypes | ||
| Contusion, subarachnoid hemorrhage, and/or subdural hematoma | ||
| 2 wk | 2.14 (1.48-3.10) | <.001 |
| 3 mo | 2.18 (1.23-3.89) | .008 |
| 6 mo | 2.32 (1.23-4.38) | .01 |
| 12 mo | 3.23 (1.59-6.58) | .001 |
| Epidural hematoma | ||
| 2 wk | 1.23 (0.58-2.64) | .59 |
| 3 mo | 0.37 (0.08-1.64) | .19 |
| 6 mo | 0.37 (0.08-1.62) | .19 |
| 12 mo | 0.31 (0.06-1.70) | .18 |
| Intraventricular and/or petechial hemorrhage | ||
| 2 wk | 1.47 (0.82-2.62) | .19 |
| 3 mo | 2.37 (1.14-4.92) | .02 |
| 6 mo | 3.42 (1.62-7.22) | .001 |
| 12 mo | 3.47 (1.66-7.26) | <.001 |
| Demographics | ||
| Age (55 vs 26 y) | 2.64 (2.02-3.46) | <.001 |
| Years of education (16 vs 12 y) | 0.60 (0.47-0.76) | <.001 |
| Sex (male vs female) | 0.92 (0.64-1.31) | .63 |
| Race (White vs Black) | 0.90 (0.56-1.44) | .89 |
| Race (White vs other) | 1.27 (0.60-2.69) | .81 |
| Ethnicity (Hispanic vs non-Hispanic) | 0.70 (0.39-1.28) | .25 |
| Baseline clinical characteristics | ||
| Neuropsychiatric history (yes vs no) | 1.43 (0.98-2.10) | .07 |
| Prior traumatic brain injury (yes vs no) | 1.06 (0.73-1.53) | .78 |
A generalized estimating equation model was used to study the association of demographic, clinical, and CT variables with unfavorable outcome (Glasgow Outcome Scale–Extended [GOSE] scores <5 vs ≥5) at 2 weeks and 3, 6, and 12 months postinjury. The model included GOSE scores at each follow-up as the outcome; independent variables included demographic, baseline clinical characteristics, CT phenotypes, data collection points (eg, 2 weeks), and interaction between CT phenotypes and data collection points. An unstructured working correlation matrix was used. The marginal R2 of the generalized estimating equation model was 7.8% without CT variables and 10.0% with CT variables.
For the continuous variables (age and years of education), we reported odds ratios comparing the third quartile vs the first quartile.
Other races includes Alaskan Native or Inuit, American Indian, Asian, Native Hawaiian or other Pacific Islander, and unknown categories.