Disseminated Intravascular Coagulopathy in the First 24 Hours After Trauma: The Association Between ISTH Score and Anatomopathologic Evidence
Bibliographic record
Abstract
BACKGROUND: Recent studies questioned "classical" concepts in trauma care, including whether disseminated intravascular coagulation (DIC) occurs in trauma. The knowledge on trauma DIC is limited to few studies built on diagnosing DIC with laboratory-based scores. This study explores whether DIC diagnosed by the well-established ISTH (International Society for Thrombosis and Hemostasis) score is corroborated by anatomopathologic findings. METHODS: Prospective observational cohort study of severely injured (ISS ≥ 16) patients. DIC was diagnosed by the ISTH score throughout the first 24 hours after trauma. All organs surgically removed within 24 hours of trauma were reviewed by two independent pathologists. All autopsy reports were reviewed. RESULTS: Of 423 patients enrolled, ∼11% had "overt DIC" and 85% had "suggestive of non-overt DIC" scores throughout the 24 hours after trauma. "Overt DIC" patients had higher mortality and worse bleeding, receiving more blood and plasma transfusions. One hundred and sixteen patients underwent surgery within 24 hours of trauma, and all 40 excised organs were reviewed by two pathologists. Twenty-seven autopsies reports were reviewed. No anatomopathologic evidence of DIC was identified in the first 24 hours, even after additional histochemical staining. d-dimer was universally elevated after trauma. Common DIC features: platelet count, fibrinogen, clotting time, and factor VIII drop were mostly absent. CONCLUSIONS: d-dimer has a disproportional participation in trauma DIC scores. Within 24 hours of trauma, most severely injured patients have DIC scores "suggestive for" or of "overt DIC" but no anatomopathologic evidence of DIC. Considering pathologic findings as the gold standard diagnosis, then DIC is exceptionally uncommon and the ISTH score should not be used for trauma.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".