Association of plasma D-dimer level with thromboembolic events after endovascular coil treatment of ruptured cerebral aneurysms
Bibliographic record
Abstract
OBJECTIVE: Although endovascular therapy is favored for acutely ruptured intracranial aneurysms, hematological factors associated with acute subarachnoid hemorrhage (SAH) may predispose to procedure-related ischemic complications. The aim of this study was to evaluate whether an elevated level of plasma D-dimer, a parameter of hypercoagulation in patients with acute SAH, is correlated with increased incidence of thromboembolic events during endovascular coiling of ruptured aneurysms. METHODS: The authors analyzed data from 103 cases of acutely ruptured aneurysms (in 103 patients) treated with endovascular coil embolization at a single institution. Factors associated with elevated D-dimer level on admission were identified. The authors also evaluated whether D-dimer elevation was independently correlated with increased incidence of perioperative thromboembolic events. RESULTS: An elevated D-dimer concentration (≥ 1.0 μg/ml) on admission was observed in 70 (68.0%) of 103 patients. Increasing age (p < 0.001, Student t-test) and poor initial neurological grade representing World Federation of Neurosurgical Societies (WFNS) grade IV or V (p = 0.0018, chi-square test) were significantly associated with D-dimer elevation. Symptomatic thromboembolic events occurred in 11 cases (10.7%). Elevated D-dimer levels on admission (OR 1.34, 95% CI 1.10-1.62, p = 0.0029) independently carried a higher risk of thromboembolic events after adjustment for potential angiographic confounders, including wide neck of the aneurysm and large aneurysm size. CONCLUSIONS: Elevated D-dimer levels on admission of patients with acute SAH were significantly associated with increased incidence of thromboembolic events during endovascular coiling of ruptured aneurysms.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".