Antiphospholipid Antibody-Associated Chorea
Bibliographic record
Abstract
OBJECTIVE: To describe the clinical features, treatment, and outcomes of patients with antiphospholipid antibody (aPL)-associated chorea. METHODS: The study cohort consisted of consecutive patients with chorea evaluated between 1990 and 2005 with documented aPL at time of their neurologic diagnosis. RESULTS: Eighteen patients were identified, 4 with systemic lupus erythematosus (SLE). The 14 non-SLE patients experienced 1.6 vascular thromboses/pregnancy losses per person, while patients with SLE experienced 0.5 events/person. Four non-SLE patients (29%) and no SLE patients met criteria for antiphospholipid antibody syndrome (APS). None of these 4 tested positive for IgM anticardiolipin antibody (aCL). In contrast, 10 (71%) non-APS patients tested positive for IgM aCL. Chorea was most often bilateral, mild to moderate, and occurred once with a median age at onset of 44 and 33 years in non-SLE and SLE patients, respectively. Therapy included immunosuppression in 3 (21%) non-SLE patients and in all SLE patients. Antidopaminergic agents were used in 7 (39%). All patients responded to treatment. Five patients received anticoagulation for thrombosis and 2 died of bleeding complications, both non-SLE patients. CONCLUSION: aPL-associated chorea occurs most often in women and severity is mild to moderate. Clinical expression of chorea does not differ between those with and without SLE. Anticoagulation should be reserved for thrombosis treatment and not simply for chorea in the presence of aPL, as 2 patients died of bleeding. The absence of IgM aCL in patients with APS supports prior evidence that IgG aCL and lupus anticoagulant may be the more clinically relevant antibodies for thrombosis. However, IgM aCL may be important in patients with chorea.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".