Antiphospholipid syndrome in rural, remote, and First Nations peoples in the Top End of the Northern Territory, Australia
Bibliographic record
Abstract
Background The Northern Territory of Australia has a high proportion of First Nations peoples living in remote communities and a high burden of chronic autoimmune diseases. The epidemiology and clinical outcomes of antiphospholipid syndrome (APS) in First Nations Australians are poorly characterized. Objectives To determine the epidemiology, presenting features, and outcomes of patients with APS using an 18-year retrospective cohort of newly diagnosed patients presenting to Royal Darwin Hospital (2002-2020). Methods Patients admitted to Royal Darwin Hospital with a new incident diagnosis of APS between January 2002 and December 2020 were identified and followed until December 2022, with data on baseline demographics, clinical and laboratory features, and overall survival extracted from electronic and paper medical records. Results Fifty-three patients with APS were included, of whom 40 (75%) were First Nations and 46 (87%) were female. Thirty (75%) of First Nations patients with APS resided in very remote Australia vs 0 (0%) non–First Nations patients. Eighteen cases (34%) had primary APS, and 35 cases (66%) had secondary APS, most in association with lupus. Eight (15%) cases developed catastrophic APS (CAPS), all in First Nations patients. There were 13 deaths (of which 11 were among First Nations patients). Patients with CAPS had significantly shorter median overall survival (8.3 years from diagnosis), with median survival in non-CAPS patients not reached ( P = .003). Conclusion There is a high prevalence of APS in First Nations patients living in very remote Australia admitted for tertiary care in the tropical north of the Northern Territory, Australia. The rate of CAPS in First Nations patients was high, and CAPS was associated with significantly shorter survival. Larger prospective studies are required to inform improved models of care for First Nations and remote Australians living with APS.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".