ArticleCNS neuroscience & therapeutics2022
Prediction of early prognosis after traumatic brain injury by multifactor model.
Article in CNS neuroscience & therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Meta-analysis of Predicting Disorders of Consciousness After Traumatic Brain Injury by Machine Learning Models.Alpha psychiatry · 2024Pooled it
- Sex and Age Differences in Outcomes of Traumatic Brain Injury: Findings from the Japan Neurotrauma Data Bank.Journal of clinical medicine · 2026Article
- Addressing class imbalance in traumatic brain injury prognostication: A survey of resampling approaches.AIMS neuroscience · 2026Review
- Computed tomography-derived KNeuroradiology · 2025Observational
- Most Effective Interventions for Enhancing Neural Plasticity for Functional Recovery in Patients with Traumatic Brain Injury.Journal of surgery and research · 2025Article
- A nomogram for predicting early mortality in patients with traumatic brain injury requiring mechanical ventilation based on clinical laboratory data.Scientific reports · 2024Article
- An externally validated prognostic model for critically ill patients with traumatic brain injury.Annals of clinical and translational neurology · 2024Article
- LncRNA H19 knockdown promotes neuropathologic and functional recovery via the Nrf2/HO-1 axis after traumatic brain injury.CNS neuroscience & therapeutics · 2024Article
- Prediction of early bladder outcomes after spinal cord injury: The HALT score.CNS neuroscience & therapeutics · 2024Article
- Cavitation in blunt impact traumatic brain injury.Experiments in fluids · 2024Review
- Inflammation biomarkers IL‑6 and IL‑10 may improve the diagnostic and prognostic accuracy of currently authorized traumatic brain injury tools.Experimental and therapeutic medicine · 2023Article
- Prediction of early prognosis after traumatic brain injury by multifactor model.CNS neuroscience & therapeutics · 2022Article
- Interpretable machine learning for in-hospital mortality prediction in ICU patients with traumatic brain injury.Frontiers in neurologyArticle
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo design a model to predict the early prognosis of patients with traumatic brain injury (TBI) based on parameters that can be quickly obtained in emergency conditions from medical history, physical examination, and supplementary examinations.
methodsThe medical records of TBI patients who were hospitalized in two medical institutions between June 2015 and June 2021 were collected and analyzed. Patients were divided into the training set, validation set, and testing set. The possible predictive indicators were screened after analyzing the data of patients in the training set. Then prediction models were found based on the possible predictive indicators in the training set. Data of patients in the validation set and the testing set was provided to validate the predictive values of the models.
resultsAge, Glasgow coma scale score, Apolipoprotein E genotype, damage area, serum C-reactive protein, and interleukin-8 (IL-8) levels, and Marshall computed tomography score were found associated with early prognosis of TBI patients. The accuracy of the early prognosis prediction model (EPPM) was 80%, and the sensitivity and specificity of the EPPM were 78.8% and 80.8% in the training set. The accuracy of the EPPM was 79%, and the sensitivity and specificity of the EPPM were 66.7% and 86.2% in the validation set. The accuracy of the early EPPM was 69.1%, and the sensitivity and specificity of the EPPM were 67.9% and 77.8% in the testing set.
conclusionPrediction models integrating general information, clinical manifestations, and auxiliary examination results may provide a reliable and rapid method to evaluate and predict the early prognosis of TBI patients.
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