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Predictors Associated With Post-Traumatic Hydrocephalus in Patients With Head Injury Undergoing Unilateral Decompressive Craniectomy

Overview of attention for article published in Frontiers in Neurology, May 2018
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Title
Predictors Associated With Post-Traumatic Hydrocephalus in Patients With Head Injury Undergoing Unilateral Decompressive Craniectomy
Published in
Frontiers in Neurology, May 2018
DOI 10.3389/fneur.2018.00337
Pubmed ID
Authors

Qianxin Hu, Guangfu Di, Xuefei Shao, Wei Zhou, Xiaochun Jiang

Abstract

Post-traumatic hydrocephalus (PTH) makes recovery from head trauma after decompression more complicated and is associated with high risks of clinical deterioration and poor outcomes. The aim of this study was to verify the predictors associated with the development of PTH in patients with head injury undergoing unilateral decompressive craniectomy (DC). Among traumatic brain injury (TBI) patients who underwent unilateral DC between January 2013 and December 2016, the clinical medical records, radiological information, and changes of patients' conditions in the 3-month after injury were reviewed retrospectively. 183 TBI patients after unilateral DC were analyzed, and 50 (27.32%) of them suffered PTH based on head CT scans. Univariate and multivariable analyses revealed that older age (p = 0.002), the Glasgow Coma Scale (GCS) score at admission (p < 0.001), intraventricular hemorrhage (IVH; p = 0.008), post-traumatic cerebral infarction (PCI; p = 0.007), and postoperative meningitis (p = 0.016) were independent predictors for the hydrocephalus after DC. Receiver operating characteristic curves were created and the area under the curve (AUC) were calculated to further assess the accuracy of the variables for predicting PTH. The AUC was 0.836 for the combined all five independent factors (95% confidence interval: 0.775-0.887). TBI patients who undergo unilateral DC with advanced age, lower GCS score at admission, coexisting IVH, PCI, and/or postoperative meningitis should be closely monitored at follow-up assessments for earlier prediction of PTH.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 15%
Student > Doctoral Student 4 12%
Researcher 4 12%
Student > Master 3 9%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 13 38%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Neuroscience 3 9%
Business, Management and Accounting 1 3%
Immunology and Microbiology 1 3%
Sports and Recreations 1 3%
Other 3 9%
Unknown 15 44%
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 14 May 2018.
All research outputs
#20,489,895
of 23,052,509 outputs
Outputs from Frontiers in Neurology
#8,967
of 11,952 outputs
Outputs of similar age
#287,346
of 326,852 outputs
Outputs of similar age from Frontiers in Neurology
#222
of 296 outputs
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