The effect of serum D-dimer levels on the cognitive outcome of patients with moderate traumatic brain injury
Bibliographic record
Abstract
Abstract Background Cognitive impairment after traumatic brain injury (TBI) is a main source of morbidity for affected individuals, their family members, and their community. There are numerous serum biomarkers, which are elevated after TBI; one of these is D-dimer. Several studies have related that trauma-related coagulopathy, marked by elevated D-dimer levels, is associated with poor prognosis. Objective The aim of this study was to find if there is a correlation between elevated serum levels of D-dimer and impairment of final cognitive outcome in case suffering of Moderate TBI. Patients and method This is a prospective cohort study with a random sample of 87 patients suffering from moderate TBI. Serum level of D-dimer was requested for all cases after confirming the diagnosis of moderate TBI with post-traumatic GCS 9–12. Head trauma treatment protocols were followed according to each case diagnosis and then at the time of discharge cognitive outcome was assessed for all cases. Neurocognition was assessed by Montreal cognitive assessment-Basic (MoCA-B). Results Eighty-seven cases were included in this trial with a mean age 28 years. 48.3% of cases were treated conservatively while the remaining 51.7% needed surgical interventions for different pathologies. Seventy-five cases had elevated levels of serum D-dimer (86.2%) whereas only 12 cases have within normal levels (13.8%). A twofold increase in the serum D-dimer level was found in 41% of cases, while 34.5% of cases had three- to sixfold increases, and 10% of cases had more than sixfold increase. The mean MoCA-B score was 24 points (range 13–27). Correlating the D-dimer levels statistically with the MoCA scores, age, admission and discharge GCS, and durations of hospital stay did not show any statistical significance with any of these variables. Conclusion The role played by D-dimer in the pathophysiology of cognitive deficits and its correlation with post moderate TBI cognitive outcome was not proven.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".