Factor X deficiency and intracranial bleeding: who is at risk?
Bibliographic record
Abstract
Very few mutations of the gene encoding for coagulation factor X (FX) have been found associated with intracranial haemorrhage (ICH) due to FX deficiency (FXD). No guidelines exist as to when prophylaxis in FXD should be started and how patients at risk for ICH can be identified. We report on a novel mutation causative for ICH in a family of Iranian origin and provide a summary of all published mutations in the FX gene related to ICH. The index patient is an infant with umbilical bleeding requiring blood transfusion in the postnatal period. The international normalized ratio (6.01) and activated partial thromboplastin time (117 s) were prolonged. Coagulation factor analysis was normal except for FX activity (<1%). At 4 months, the child suffered a spontaneous severe intracranial haemorrhage. The child was the product of a consanguineous union. Four of five available family members from three generations displayed minor bleeding symptoms and mildly reduced FX. Sequencing of FX gene demonstrated homozygosity for a novel duplication A (c.1402_1403dupA)* in exon 8 and heterozygosity in four family members. We compare this case to all 15 patients with FXD and ICH and their 11 known mutations described so far. This case illustrates a pattern of FXD (a male neonate with umbilical or gastrointestinal bleeding, very low FX:C (<1%) and an underlying homozygous genotype) who may be at high risk for ICH. In these cases, we recommend to start early prophylactic substitution of FX to prevent a possible life-threatening haemorrhage.
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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 | 0.000 | 0.000 |
| 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) | 0.003 | 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".