Background: Mortality prediction in patients with brain trauma during initial management in the emergency department (ED) is essential for creating the foundation for a better prognosis.
Objective: This study aimed to create a simple and useful survival predictive model for patients with isolated blunt traumatic brain injury that is easily available in the ED.
Methods: This is a retrospective study based on the trauma registry data of an academic teaching hospital. The inclusion criteria were age ≥ 15 years, blunt and not penetrating mechanism of injury, and Abbreviated Injury Scale (AIS) scores between 1 and 6 for head and 0 for all other body parts. The primary outcome was 30-day survival probability. Internal and external validation was performed.
Results: After univariate logistic regression analysis based on the derivation cohort, the final Predictor of Isolated Trauma in Head (PITH) model for survival prediction of isolated traumatic brain injury included Glasgow Coma Scale (GCS), age, and coded AIS of the head. In the validation cohort, the area under the curve of the PITH score was 0.970 (p < 0.0001; 95% confidence interval 0.960-0.978). Sensitivity and specificity were 95% and 81.7% at the cutoff value of 0.9 (probability of survival 90%), respectively.
Conclusions: The PITH model performed better than the GCS; Revised Trauma Score; and mechanism of injury, GCS, age, and arterial pressure. It will be a useful triage method for isolated traumatic brain injury in the early phase of management.
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http://dx.doi.org/10.1016/j.jemermed.2018.01.001 | DOI Listing |
Alzheimers Dement
December 2024
Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Introduction: Alzheimer's disease (AD), primary age-related tauopathy (PART), and chronic traumatic encephalopathy (CTE) all feature hyperphosphorylated tau (p-tau)-immunoreactive neurofibrillary degeneration, but differ in neuroanatomical distribution and progression of neurofibrillary degeneration and amyloid beta (Aβ) deposition.
Methods: We used Nanostring GeoMx Digital Spatial Profiling to compare the expression of 70 proteins in neurofibrillary tangle (NFT)-bearing and non-NFT-bearing neurons in hippocampal CA1, CA2, and CA4 subregions and entorhinal cortex of cases with autopsy-confirmed AD (n = 8), PART (n = 7), and CTE (n = 5).
Results: There were numerous subregion-specific differences related to Aβ processing, autophagy/proteostasis, inflammation, gliosis, oxidative stress, neuronal/synaptic integrity, and p-tau epitopes among these different disorders.
Clin Transl Med
January 2025
Institute of Clinical Pharmacy, Jining First People's Hospital, Shandong First Medical University, Jining, P.R. China.
Cureus
November 2024
Medical Engineering, Cardiff University School of Engineering, Wales, GBR.
Objectives: Pediatric head and spinal traumas are challenging for healthcare professionals due to their potential for severe consequences. Understanding optimal management methods is crucial to prevent complications and improve outcomes. Head and spinal injuries are common in children, with falls and motor vehicle collisions as the leading causes.
View Article and Find Full Text PDFArch Razi Inst
June 2024
Nephrology and Urology Research Center, Clinical Science Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
In this case report, we present a 63-year-old man with a history of diabetes mellitus and kidney transplantation who was diagnosed with nasal myiasis. The patient presented with symptoms of nasal myiasis infestation, including epistaxis, nasal obstruction, nasal discharge, and the presence of larvae. The patient had risk factors for poor wound healing, such as hyperglycemia, and the presence of diabetes mellitus, hypertension, and kidney transplantation indicated the presence of predisposing factors for myiasis.
View Article and Find Full Text PDFCrit Care
December 2024
Brain Physics Laboratory, Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Background: Entropy quantifies the level of disorder within a system. Low entropy reflects increased rigidity of homeostatic feedback systems possibly reflecting failure of protective physiological mechanisms like cerebral autoregulation. In traumatic brain injury (TBI), low entropy of heart rate and intracranial pressure (ICP) predict unfavorable outcome.
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