The lupus anticoagulant: results from 2257 patients attending a high-risk pregnancy clinic
Bibliographic record
Abstract
Routine investigation for recurrent pregnancy loss includes measurement of antiphospholipid antibodies under the perception that the lupus anticoagulant (LAC) is prevalent in this population. Our tertiary clinic sees ~250 new patients with recurrent pregnancy loss annually, in addition to those with systemic lupus erythematosus and/or antiphospholipid syndrome. We measure LAC using a 4-assay panel that expands on the 2 assays recommended by the International Society on Thrombosis and Haemostatis (ISTH) guidelines. Of 2257 patients tested for LAC during a 6-year period, 62 (2.7%) repeatedly tested positive. Only 5 patients (0.2%) had both a history of early recurrent miscarriage and LAC positivity. Patients with LAC had a significantly more frequent history of thrombosis (35.5% vs 2.4%). LAC was absent in an overwhelming majority of women with exclusively early recurrent pregnancy loss but was associated with sporadic stillbirth. Among our panel of assays, none was predominant, and an increasing number of positive assays was associated with an increased history of morbidity. Therefore, our results do not support the ISTH contention that 2 assays are sufficient to identify and describe patients with LAC. We found that a confirmed, repeated LAC was very infrequent even in a high-risk setting.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".