Abstract 29: Common Thrombophilias are not Associated With Specific Perinatal Stroke Diseases
Bibliographic record
Abstract
Background: Perinatal stroke causes cerebral palsy and lifelong disability. Specific diseases are definable, including arterial and venous ischemic injuries, but pathophysiological mechanisms are poorly understood. Thrombophilia has long been considered a potential contributor but population-based, controlled, disease-specific studies are limited. Hypothesis: Thrombophilia is uncommon in children with perinatal stroke. Methods: Subjects were recruited from the Alberta Perinatal Stroke Project, a population-based cohort with MRI-classified perinatal strokes: neonatal arterial ischemic stroke (NAIS), arterial presumed perinatal ischemic stroke (APPIS), and fetal periventricular venous infarction (PVI). Standardized thrombophilia evaluations were performed prospectively (2008-2015) after 12 months of age on stroke cases and matched controls. Measures included protein C and S, antithrombin III, factors VIII/IX/XI, fibrinogen, lipoprotein a, lupus anticoagulant, and antiphospholipid antibodies. Groups were compared (ANOVA, chi-square), corrected for multiple comparisons. Results: A total of 252 children were studied (58 NAIS, 48 APPIS, 69 PVI, 77 controls). Of 14 parameters, no differences were observed in 12 including all common thrombophilias. Prothrombin times were shorter in arterial strokes compared to controls (p<0.001). Factor XI levels were higher in arterial and PVI strokes compared to controls (p=0.004). Rates of genetic thrombophilias including factor V Leiden, prothrombin gene, and MTHFR were low and comparable to population rates. Conclusion: Our prospective, population-based, controlled, disease-specific study suggests minimal association between perinatal stroke and thrombophilia. This does not exclude the possibility of disordered coagulation at the time of stroke but suggests testing in childhood is not indicated.
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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 | 0.000 | 0.002 |
| 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) | 0.010 | 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".