E063 Comparative evaluation of the performance of revised Sapporo and 2023 ACR/EULAR classification criteria in paediatric onset antiphospholipid syndrome - a single centre cohort with long-term follow-up
Bibliographic record
Abstract
Abstract Background/Aims Antiphospholipid syndrome (APS) is a systemic autoimmune disease characterised by increased risk of thrombosis and pregnancy morbidity with persistently elevated antiphospholipid antibodies (aPL). Childhood APS is usually diagnosed before age 18. Historically, APS has been classified using the Sapporo criteria, revised in 2006. The American College of Rheumatology (ACR) and European Alliance of Rheumatology Associations (EULAR) developed new classification criteria for APS in 2023 for research. Here we characterised a single-centre cohort of adolescents and young adults (AYA) with childhood-onset APS, diagnosed by expert opinion. We compared the performance of the new 2023 ACR/EULAR criteria, which have not yet been tested in childhood APS vs the revised Sapporo criteria. Methods We screened our childhood-onset connective tissue disease database comprising 215 cases to identify AYA diagnosed with childhood-onset APS based on expert opinion. We collected retrospective data to assess their demographics, disease duration, clinical manifestations, serological markers, treatment, and compared the two classification criteria. Results We identified 12 AYA diagnosed with childhood-onset APS (see Table below), 91% of which had another associated autoimmune disease, including childhood-onset systemic lupus erythematosus (cSLE)/Sjögren’s and juvenile dermatomyositis (JDM). For APS manifestations, 8/12 cases were treated with aspirin and warfarin and 2/12 with direct oral anticoagulants (DOACs). One young person had previously received plasma exchange for catastrophic APS. 5/215 cases of AYA had persistently elevated aPL (four with cSLE and one with JDM) without clinical APS manifestations (fulfilling neither the Sapporo nor the 2023 ACR/EULAR criteria for APS). Conclusion The 2023 ACR/EULAR classified 75%, while the revised Sapporo criteria classified 66% of AYA with APS diagnosed by expert opinion, suggesting that childhood-specific criteria may be warranted. In this small cohort, macrovascular thrombosis affected 66% of AYA diagnosed with APS, and 33% had more than one major thrombotic event. Overall, 47% (8/17) of AYA with persistently elevated aPL had thrombosis, despite previous publications suggesting low thrombosis risk in childhood APS. This cohort was followed up for 3-20 years, allowing us to assess the disease clinical course better over time. Future large cohort studies are needed to define the natural course and long-term complications of childhood APS. Disclosure S. Hussain: None. H. Bradford: None. T. McDonnell: None. C. Ciurtin: None.
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 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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".