Intravenous immunoglobulin–associated thrombosis: is it such a rare event? Report of a pediatric case and of the <scp>Q</scp>uebec <scp>H</scp>emovigilance <scp>S</scp>ystem
Bibliographic record
Abstract
BACKGROUND: Intravenous immunoglobulin (IVIG) is frequently given in autoimmune disorders. Side effects are usually mild but severe complications such as thrombosis may occur. After one patient with IVIG-associated thrombotic complication at Sainte-Justine Hospital, the incidence of serious adverse events (SAEs) reported to the Quebec Hemovigilance System (QHS) was reviewed. STUDY DESIGN AND METHODS: This study was a retrospective review of QHS database of IVIG-related thrombotic complications since 2003, including a case report of a pediatric patient. RESULTS: QHS is one of the rare national hemovigilance systems that have included IVIG reports for almost a decade. Over an extended period of 11 years (2003-2013), there have been eight cases of IVIG-related thrombosis, seven in adults and one in the pediatric population (respective rate of 0.06 case and 0.17 case per 100,000 g of IVIG given). The single pediatric case occurred in a 16-year-old female receiving IVIG for severe immune thrombocytopenia. CONCLUSION: Thrombosis after IVIG is a rare though SAE occurring mostly in adults. This underlines the importance of properly reporting IVIG SAEs to improve hemovigilance data and study such rare events.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".