Plasma D-dimer can predict all-cause mortality after mechanical thrombectomy of anterior circulation noncardioembolic acute cerebral infarction
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: There is relatively little data on all-cause mortality within 3 months after successful mechanical thrombectomy for noncardioembolic acute cerebral infarction in the anterior circulation. The purpose of this study is to explore the predictive effect of emergency preoperative plasma D-dimer on all-cause mortality within 3 months after successful mechanical thrombectomy of anterior circulation noncardioembolic acute cerebral infarction. METHODS: A retrospective analysis was conducted on the clinical data of 186 patients with anterior circulation noncardioembolic acute cerebral infarction who underwent successful mechanical thrombectomy. RESULTS: Among 186 patients (aged 64.26 ± 11.62 years), 8 patients (4.30%) experienced all-cause mortality within 3 months after surgery. Compared with non deceased patients, deceased patients had a higher proportion of female, higher NIHSS score at admission, lower preoperative Alberta Stroke Program Early Computed Tomography (ASPECT) score, lower collateral circulation score, lower proportion of grade 3 reperfusion blood flow classification, and higher levels of emergency preoperative plasma D-dimer (P<0.05). After adjusting for confounding factors, female (odds ratio (OR)=15.389; 95% confidence interval (CI) 1.219-194.279; P=0.035) and emergency preoperative plasma D-dimer (OR=1.271; 95% CI 1.084-1.491; P=0.003) were significantly associated with all-cause mortality within 3 months after surgery. The area under the ROC curve for predicting all-cause mortality using plasma D-dimer is 0.822 (sensitivity 0.875, specificity 0.831), with a cutoff value of 2.065ug/ml. CONCLUSION: Preoperative plasma D-dimer is an independent predictor of all-cause mortality within 3 months after successful mechanical thrombectomy for noncardioembolic acute cerebral infarction of anterior circulation. Patients with plasma D-dimer level ≥ 2.065ug/ml have a greater chance of experiencing symptomatic cerebral hemorrhage, malignant cerebral edema, and cerebral herniation.
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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 | 0.005 |
| 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 | 0.000 |
| 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".