The NLRP3 inflammasome in traumatic brain injury: potential as a biomarker and therapeutic target

WT O'Brien, L Pham, GF Symons, M Monif… - Journal of …, 2020 - Springer
There is a great clinical need to identify the underlying mechanisms, as well as related
biomarkers, and treatment targets, for traumatic brain injury (TBI). Neuroinflammation is a …

Mild-to-moderate traumatic brain injury: a review with focus on the visual system

SH Rauchman, J Albert, A Pinkhasov, AB Reiss - Neurology International, 2022 - mdpi.com
Traumatic Brain Injury (TBI) is a major global public health problem. Neurological damage
from TBI may be mild, moderate, or severe and occurs both immediately at the time of impact …

Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models

CS Rau, PJ Kuo, PC Chien, CY Huang, HY Hsieh… - PloS one, 2018 - journals.plos.org
Background The purpose of this study was to build a model of machine learning (ML) for the
prediction of mortality in patients with isolated moderate and severe traumatic brain injury …

Incidence and predictors of mortality among traumatic brain injury patients admitted to Amhara region Comprehensive Specialized Hospitals, northwest Ethiopia, 2022

TA Demlie, MT Alemu, MA Messelu, F Wagnew… - BMC emergency …, 2023 - Springer
Introduction Traumatic brain injury is a substantial cause of mortality and morbidity with a
higher burden in low and middle-income countries due to healthcare systems that are …

In-hospital costs after severe traumatic brain injury: a systematic review and quality assessment

JTJM van Dijck, MD Dijkman, RH Ophuis… - PLoS …, 2019 - journals.plos.org
Background The in-hospital treatment of patients with traumatic brain injury (TBI) is
considered to be expensive, especially in patients with severe TBI (s-TBI). To improve future …

Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach

A Abujaber, A Fadlalla, D Gammoh… - BMC medical informatics …, 2020 - Springer
Background The study aimed to introduce a machine learning model that predicts in-hospital
mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic …

Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries

W Schmid, Y Fan, T Chi, E Golanov… - Journal of neural …, 2021 - iopscience.iop.org
Mild traumatic brain injuries (mTBIs) are the most common type of brain injury. Timely
diagnosis of mTBI is crucial in making'go/no-go'decision in order to prevent repeated injury …

Incidence, causes and consequences of moderate and severe traumatic brain injury as determined by Abbreviated Injury Score in the Netherlands

D Jochems, E van Rein, M Niemeijer, M van Heijl… - Scientific reports, 2021 - nature.com
Traumatic brain injury (TBI) is a leading cause of death and disability. Epidemiology seems
to be changing. TBIs are increasingly caused by falls amongst elderly, whilst we see less …

The effect of intimate partner violence and probable traumatic brain injury on mental health outcomes for black women

AN Cimino, G Yi, M Patch, Y Alter… - Journal of aggression …, 2019 - Taylor & Francis
Severe intimate partner violence (IPV) including loss of consciousness from head injuries
and/or strangulation can result in traumatic brain injury (TBI), a brain pathology …

[HTML][HTML] Survival status and predictors of mortality among traumatic brain injury patients in an Ethiopian hospital: A retrospective cohort study

AT Amare, TD Tesfaye, AS Ali, TA Woelile… - African journal of …, 2021 - Elsevier
Introduction Traumatic brain injury is a major global public health problem causing
substantial mortality among the adult population. Hence, this study aimed to determine the …