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Clinical Predictors of Progressive Hemorrhagic Injury in Children with Mild Traumatic Brain Injury

Overview of attention for article published in Frontiers in Neurology, November 2017
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Title
Clinical Predictors of Progressive Hemorrhagic Injury in Children with Mild Traumatic Brain Injury
Published in
Frontiers in Neurology, November 2017
DOI 10.3389/fneur.2017.00560
Pubmed ID
Authors

Guangfu Di, Hua Liu, Xiaochun Jiang, Yi Dai, Sansong Chen, Zhichun Wang, Hongyi Liu

Abstract

Traumatic brain injury (TBI) occurs commonly in children. Repeat computed tomography (CT) follow up of TBI patients is often scheduled to identify progressive hemorrhagic injury (PHI). However, the utility of repeated CT scans, especially in children with mild TBI [Glasgow Coma Scale (GCS) scores of 13-15], has been debated. The purposes of the present study were to identify clinical predictors of PHI in children with mild TBI and to clarify relevant clinical factors via radiological examination. From 2014 to 2016, we retrospectively enrolled children <15 years of age with mild TBI. We recorded age, sex, GCS scores on admission, causes of head injury, timing of initial CT, any loss of consciousness, vomiting and seizure data, and type of TBI. Based on repeat CT findings, patients were dichotomized into either a PHI group or a non-PHI group. Also, clinical data were comparatively reviewed. Multivariate logistic regression analysis was used to identify clinical predictors of PHI. Of the 175 enrolled children, 15 (8.6%) experienced PHI. Univariate analysis revealed that GCS score on admission, cause of head injury, vomiting, seizure, and TBI type were associated with PHI. Multivariate logistic regression analysis showed that a GCS score of 13 and epidural hemorrhage (EDH) were independently associated with PHI (hazard ratio = 0.131, P = 0.018; hazard ratio = 6.612, P = 0.027, respectively). A GCS score of 13 and EDH were associated with PHI. These factors should be considered when deciding whether to repeat CT on children with mild TBI.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Other 2 17%
Student > Master 1 8%
Student > Doctoral Student 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Medicine and Dentistry 7 58%
Neuroscience 1 8%
Social Sciences 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 November 2017.
All research outputs
#20,451,991
of 23,007,887 outputs
Outputs from Frontiers in Neurology
#8,928
of 11,904 outputs
Outputs of similar age
#284,103
of 326,002 outputs
Outputs of similar age from Frontiers in Neurology
#141
of 194 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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