Serological investigation of patients with a previous history of heparin-induced thrombocytopenia who are reexposed to heparin
Bibliographic record
Abstract
Heparin reexposure despite a history of previous heparin-induced thrombocytopenia (HIT) can be appropriate if platelet-activating antibodies are no longer detectable. We determined the frequency, timing, and magnitude of the antiplatelet factor 4 (anti-PF4)/heparin immune response (by serotonin-release assay [SRA] and enzyme-immunoassay [EIA]), and the frequency of recurrent HIT in 20 patients with previous HIT reexposed to heparin 4.4 years (mean) post-HIT; 17 patients were given heparin intraoperatively (without postoperative heparin) for cardiac/vascular surgery. One patient developed recurrent HIT beginning 7 days after cardiac surgery, with newly regenerated HIT antibodies exhibiting strong heparin-independent platelet-activating properties. Intraoperative heparin induced EIA seroconversion in 11/17 (65%) patients (immunoglobulin G [IgG]>IgA>IgM) and SRA seroconversion in 8/17 (47%), whereas none of 3 medical patients reexposed to heparin developed seroconversion. Anti-PF4/heparin IgG became detectable at day 7 (median), ie, no sooner than observed in typical-onset HIT. The high proportion of SRA positivity among EIA-seroconverting patients (8/11 [73%]) suggests that patients with previous HIT may be especially predisposed to forming recurrent antibodies with platelet-activating properties. We conclude that among patients with a previous history of HIT who are reexposed to intraoperative (but not postoperative) heparin, the risk of recurrent HIT appears to be low, but is possible if antibodies with strong heparin-independent platelet-activating properties are formed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.000 | 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".