A comprehensive review of rFVIIa use in a tertiary care pediatric center
Bibliographic record
Abstract
BACKGROUND: Recombinant activated factor VII (rFVIIa) is a hemostatic agent developed for the treatment of bleeds in patients with hemophilia and inhibitors. Case reports/series document its growing use in patients without hemophilia. Such reports however do not accurately describe the proportion of rFVIIa used for various indications. We sought to document the complete use of rFVIIa at our institution over a 6-year period (2000-2005). PROCEDURE: Using a computerized registry documenting all rFVIIa use in our institution a complete list of patients receiving rFVIIa was generated. Clinical data on these patients was obtained through chart review. RESULTS: 111 patients received 7,016,400 microg of rFVIIa over the 6 years: 23 patients had congenital bleeding disorders (10 patients with hemophilia and inhibitors; 7 with congenital FVII deficiency; 6 with platelet function disorders). These 23 patients (21% of all patients receiving rFVIIa) accounted for 79.9% of all rFVIIa used; patients with hemophilia alone accounted for 68.6%. The 88 patients without a congenital bleeding disorder (79% of all patients using rFVIIa) accounted for 20.1% of rFVIIa used. However their annual use of rFVIIa increased 10-fold during the 6 years. CONCLUSIONS: Patients with hemophilia use massive amounts of rFVIIa repeatedly while patients without hemophilia use rFVIIa infrequently and at smaller doses. The use of rFVIIa in patients without congenital bleeding disorders (all "off-label" use) is rapidly growing in both number of patients and in total use and has likely significant clinical and economic ramifications.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".