ArticleFrontiers in molecular neuroscience2023
Plasma D-dimer levels are a biomarker for in-hospital complications and long-term mortality in patients with traumatic brain injury.
Article in Frontiers in molecular neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 12 citations in OpenAlex.
- Trauma-Induced Coagulopathy in Rat Models: Assessing Hemostatic Changes in Mild and Severe Traumatic Brain Injuries.Neurology international · 2026Article
- Development and validation of a risk stratification tool for 28-day mortality based on D-dimer to platelet ratio in moderate-to -severe traumatic brain injury: a retrospective cohort study.Frontiers in neuroscience · 2026Article
- Early hematoma expansion provides incremental prognostic information beyond admission characteristics for 6-month functional outcome after adult traumatic brain injury.Frontiers in neurology · 2026Article
- Intracranial pressure, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, C-reactive protein, and D-dimer mortality predictors in isolated severe traumatic brain injury.Surgical neurology international · 2026Article
- Potential Predictors of Mortality in Adults with Severe Traumatic Brain Injury.Brain sciences · 2025Article
- Assessment of risk factors related to early occurrence of deep vein thrombosis after TBI using nomogram model.Scientific reports · 2025Article
- The Prognostic Value of D-Dimer Levels for Injury Outcomes in Trauma Patients: A Systematic Review and Meta-Analysis.Bulletin of emergency and trauma · 2025Review
- Development and validation of a nomogram for predicting early neurological deterioration in patients with moderate traumatic brain injury: a retrospective analysis.Frontiers in neurology · 2025Article
- Inverse Association Between D-Dimer Levels and Glasgow Coma Scale Scores in Hemorrhagic Stroke Patients: A Cross-Sectional Study.International journal of general medicine · 2025Article
- A Machine Learning Model Based on CT Imaging Metrics and Clinical Features to Predict the Risk of Hospital-Acquired Pneumonia After Traumatic Brain Injury.Infection and drug resistance · 2024Article
- Explainable machine learning reveals multifactorial drivers of early intracranial hematoma progression in traumatic brain injury: development of a SHAP-guided SVM nomogram.Frontiers in neurologyArticle
- D-dimer levels at the time of admission to hospital as a predictor of outcome in trauma patients: A prospective observational study.Saudi journal of anaesthesiaArticle
- Explainable machine learning for predicting lower extremity deep vein thrombosis in traumatic brain injury patients: development of a SHAP-guided Random Forest model.Frontiers in neurologyArticle
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Traumatic brain injury (TBI) is a major health concern worldwide. D-dimer levels, commonly used in the diagnosis and treatment of neurological diseases, may be associated with adverse events in patients with TBI. However, the relationship between D-dimer levels, TBI-related in-hospital complications, and long-term mortality in patients with TBI has not been investigated. Here, examined whether elevated D-dimer levels facilitate the prediction of in-hospital complications and mortality in patients with TBI. Methods: Overall, 1,338 patients with TBI admitted to our institute between January 2016 and June 2022 were retrospectively examined. D-dimer levels were assessed within 24 h of admission, and propensity score matching was used to adjust for baseline characteristics. Results: Among the in-hospital complications, high D-dimer levels were associated with electrolyte metabolism disorders, pulmonary infections, and intensive care unit admission ( Conclusion: Overall, elevated D-dimer levels at admission were associated with adverse outcomes and may predict poor prognosis in patients with TBI. Our findings will aid in the acute diagnosis, classification, and management of TBI.
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