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ACUTE CARE UTILIZATION IN PATIENTS WITH ANTIPHOSPHOLIPID SYNDROME AND/OR SYSTEMIC LUPUS ERYTHEMATOSUS

2025· article· en· W4410513026 on OpenAlexaffvenueabout
Megan R.W. Barber, Ann E. Clarke, Leslie Skeith

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineAntiphospholipid syndromeSystemic diseaseSystemic lupusConnective tissue diseaseSystemic lupus erythematosusLupus erythematosusIntensive care medicineDermatologyImmunopathologyImmunologyAutoimmune diseaseInternal medicineDiseaseAntibody

Abstract

fetched live from OpenAlex

PV078 / #557 Poster Topic: AS11 - Epidemiology and Public Health Background/Purpose Little is known about acute care utilization in patients with antiphospholipid antibodies (aPL) or antiphospholipid syndrome (APS) and systemic lupus erythematosus (SLE). This study focuses on hospitalizations, intensive care unit (ICU) admissions and emergency department (ED) visits, in patients with APS and/or SLE, both 1 year prior to and after diagnosis with SLE or identification of positive aPLs, compared to a control population in Alberta, Canada. Methods Patients from our observational aPL/APS and SLE registries were included. Patients had persistently positive aPL (medium positive [40-80 GPU] or high positive [80-160 GPU] anticardiolipin or anti-beta-2 glycoprotein 1 or a positive lupus anticoagulant test, measured at least 12 weeks apart) and/or fulfilled ACR or SLICC SLE classification criteria. Patients diagnosed with APS met revised Sapporo Criteria. The index date was defined as the date that persistently positive aPL were first identified or that SLE classification criteria were met, whichever came first. If the index date was prior to 2002, the date of registry enrollment was used instead, as administrative data was not available. Acute care utilization 1 year prior to and after the index date (between April 1st 2007 and March 31st 2024) was determined. Data were sourced from several Albertan health-related databases, including the Discharge Abstract Database, National Ambulatory Care Reporting System, and Alberta Provincial Registry, linking participants via their Alberta Personal Health Number. Acute care utilization was compared to age- and sex-matched controls, matched to cases 5:1, excluding any individuals with results for aPLs, ANA, ENA or anti dsDNA or those with any practitioner claim codes or inpatient/outpatient ICD codes for SLE or APS. Controls were assigned the index date of their matched case. Results 466 patients participated, aPL positive only (n=7), APS only (n=19), SLE only (n=339), SLE and aPL positive (n=55), and SLE and APS (n=46) (Table 1). A total of 1,857,127 potential control candidates were identified, from which 2,330 controls were randomly selected. One year prior to the index date, the proportion of participants with inpatient hospitalizations were as follows: APS only (5.56%), SLE only (10.07%), SLE and aPL positive (4.17%), SLE and APS (14.63%), and control (3.79%), with no hospitalizations recorded among the aPL-positive only group. Patients who had SLE and APS experienced the highest ED visit rate (36.59%). The lowest ED visit rate was observed in the control group (11.84%) (Table 2). One year after the index date, the highest hospitalization rates were observed in patients with SLE and APS (44.44%) and APS (42.11%) groups, while the control group had the lowest rate (3.81%). SLE and APS participants had the longest average hospital length of stay (18.45 days). ICU admissions were rare, peaking at 5.26% in the APS group. ED visits were most frequent in SLE and APS (66.67%) and APS (52.63%) groups, compared to 12.25% in controls (Table 2). Table 1: Baseline characteristics at index date* Table 2 Acute care utilization one year prior to, and one year after index date* Conclusions Patients with APS and/or SLE have a high number of hospitalizations and ED presentations compared to a control population, both 1 year prior to and after the first identification of positive aPLs or diagnosis of SLE.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.706

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.281
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes3
Has abstractyes

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