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D-dimer cutoff values for predicting functional prognosis in patients with severe head trauma: a multi-centre
Takahiro Onuki1,2,3, Shinji Nakahara4,5, Yasufumi Miyake4,6
1Department of Emergency Medicine, Teikyo University of Medicine, 2- 11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan. kemono@med.teikyo-u.ac.jp.
Summary
Elevated D-dimer levels in traumatic brain injury (TBI) patients can predict poor functional outcomes. A D-dimer cutoff of 27.2 µg/mL effectively identifies severe TBI patients at risk for adverse prognoses.
Area of Science:
- Neuroscience
- Trauma Care
- Biomarker Research
Background:
- Traumatic brain injury (TBI) is a significant cause of mortality and disability.
- D-dimer, a marker of fibrinolysis, has shown potential in predicting outcomes in various critical conditions.
- Early identification of patients with severe TBI at risk for poor functional outcomes is crucial for timely intervention.
Purpose of the Study:
- To determine optimal D-dimer cutoff values for predicting poor functional outcomes in severe TBI patients.
- To investigate the association between early D-dimer levels and neurological function post-TBI.
Main Methods:
- A multi-center prospective observational cohort study included 336 severe TBI patients (GCS ≤ 8) admitted within 1 hour of injury.
- Neurological function was assessed using the modified Rankin Scale (mRS) at discharge.
- Logistic regression and receiver operating characteristic (ROC) curve analysis were used to determine D-dimer's predictive utility and optimal cutoff values.
Main Results:
- Over 63% of patients (214/336) experienced poor neurological function (mRS ≥ 4).
- D-dimer levels greater than 27.2 µg/mL at admission were significantly associated with poor functional prognosis (OR = 3.84).
- The area under the ROC curve (AUC) for D-dimer was 0.73, indicating moderate predictive accuracy.
Conclusions:
- An early D-dimer cutoff value of 27.2 µg/mL can predict functional prognosis in patients with severe isolated TBI.
- D-dimer serves as a valuable, accessible biomarker for risk stratification in severe TBI management.

