Fondaparinux for the treatment of suspected heparin-induced thrombocytopenia: a propensity score–matched study
Bibliographic record
Abstract
Current guidelines for heparin-induced thrombocytopenia (HIT) management recommend heparin cessation and switching to a nonheparin anticoagulant (ie, argatroban, danaparoid) upon clinical suspicion. Fondaparinux may be effective but information supporting its use is limited. We retrospectively evaluated 239 patients who received a nonheparin anticoagulant (fondaparinux = 133, danaparoid = 59, and argatroban = 47) for suspected or confirmed HIT. A propensity score was constructed based on age, gender, creatinine, 4T scores, and comorbidity index, and used to match 133 patients to 60 controls. Outcomes were thrombosis or thrombosis-related death and major bleeding. In the matched population there were 22 (16.5%) episodes of thromboses in the fondaparinux group and 13 (21.4%) in the control group (χ(2) P = .424). Bleeding was observed in 28 (21.1%) patients in the fondaparinux group compared with 12 (20%) in the control group (χ(2) P = .867). Survival analysis, and subgroup and unmatched analyses showed similar results. In the fondaparinux group, 60% of patients received prophylactic doses. Fondaparinux has similar effectiveness and safety as argatroban and danaparoid in patients with suspected HIT. Prophylactic fondaparinux doses seem to be effective if no indication for full anticoagulation exists.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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".