Articles: traumatic-brain-injuries.
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Journal of neurotrauma · Jan 2024
Prognosis at your fingertips: a machine learning-based web application for outcome prediction in acute traumatic epidural hematoma.
Traumatic brain injury (TBI) affects 69 million people worldwide each year, and acute traumatic epidural hematoma (atEDH) is a frequent and severe consequence of TBI. The aim of the study is to use machine learning (ML) algorithms to predict in-hospital death, non-home discharges, prolonged length of stay (LOS), prolonged length of intensive care unit stay (ICU-LOS), and major complications in patients with atEDH and incorporate the resulting ML models into a user-friendly web application for use in the clinical settings. The American College of Surgeons (ACS) Trauma Quality Program (TQP) database was used to identify patients with atEDH. ⋯ This study aimed to improve the prognostication of patients with atEDH using ML algorithms and developed a web application for easy integration in clinical practice. It found that ML algorithms can aid in risk stratification and have significant potential for predicting in-hospital outcomes. Results demonstrated excellent performance for predicting in-hospital death and fair performance for non-home discharges, prolonged LOS and ICU-LOS, and poor performance for major complications.
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Rev Assoc Med Bras (1992) · Jan 2024
The role of serum adropin in determining the clinical outcomes of patients with traumatic brain injury: a case-control study.
It has been determined that adropin has a role in tissue healing. This study aimed to determine the effects of head trauma on the tissues and blood levels of patients admitted to the emergency department. ⋯ Although adropin cannot make a sharp distinction in determining the prognosis, the increase in its level in trauma patients shows that it triggers a protective mechanism.
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Circadian rhythm proteins (CRPs) play critical roles in both physiological and pathophysiological conditions, including neurodegenerative disorders. As members of CRPs, the nuclear receptors Rev-Erbα/β regulate circadian rhythm particularly by inhibiting Bmal1 protein and are involved in the neuroinflammation and cell death processes. However, their roles in the development of neuronal injury after traumatic brain injury (TBI) were largely unexplored, and so were investigated in the present study. ⋯ Our results show that Rev-Erbα and particularly Rev-Erbβ play significant roles in the development of neuronal injury after TBI. Our findings suggest that Rev-Erb proteins would be a potential therapeutic target for the treatment of neurodegenerative diseases.