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Record W3211633668 · doi:10.1182/blood-2021-149969

Antiphospholipid Antibody Profiles and Thrombotic Outcomes in the Starlet Cohort of Patients with Systemic Lupus Erythematosus

2021· article· en· W3211633668 on OpenAlexaffabout
Alistair Murray, Eric J. Campbell, Ann E. Clarke, Megan R.W. Barber, Tania Pannu, Marvin J. Fritzler, Michelle Jung, Yvan St. Pierre, Leslie Skeith

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsMcGill University Health CentreUniversity of Calgary
Fundersnot available
KeywordsMedicineAntiphospholipid syndromeLupus anticoagulantCohortInternal medicineSystemic lupus erythematosusThrombosisAutoantibodyImmunologyAntibodyDisease

Abstract

fetched live from OpenAlex

Abstract Introduction Antiphospholipid syndrome (APS) is an autoimmune condition characterized by the presence of antiphospholipid antibodies (aPL) and clinical outcomes of thrombosis and obstetric morbidity. APS is more common in patients with systemic lupus erythematous (SLE), with persistently positive aPLs being found in 20-30% of SLE patients. The revised Sapporo lab criteria for APS includes one or more of a positive lupus anticoagulant (LAC), anti-beta 2 glycoprotein 1 (aβ2GP1), or anticardiolipin (aCL). Antibodies must be persistently positive at >99 th percentile over at least 12 weeks (Miyakis et al. J Thromb Haemost, 2006). IgG anti-phosphatidylserine/prothrombin complex (aPS/PT), IgM aPS/PT, and IgG anti-domain 1β2GP1 (aD1β2GP1) are novel aPLs that have been associated with thrombosis, however, conclusive data is still lacking, and it remains unclear how best to incorporate these novel autoantibodies into clinical decision making. The aims of this study were to assess whether the non-criteria IgG aPS/PT, IgM aPS/PT, or IgG aD1 β2GP1 were associated with an increased risk of a first-time thrombotic event in SLE patients. By better understanding the risk of thrombosis in patients with novel aPLs, independent of their association with established criteria aPLs, we can better counsel patients on individual risk of thrombosis. Methods A retrospective chart review was performed on all participants enrolled in the SouThern Alberta Registry for Lupus EryThematosus (STARLET) database. STARLET is a prevalent cohort of 348 adult patients fulfilling American College of Rheumatology (ACR) or Systemic Lupus International Collaborating Clinics (SLICC) classification criteria for SLE. Serology results for LAC, IgG aCL, IgG aβ2GP1, IgG aPS/PT, IgM aPS/PT, and IgG aD1β2GP1 were recorded over the patient's disease course. Anti-PS/PT antibodies were measured by an enzyme-linked immunosorbent assay and IgG aD1β2GP1 by a chemiluminescence immunoassay. Electronic medical records were reviewed from March 2006 to January 2021 for first-time objectively confirmed venous, arterial, and small vessel thrombotic events, as defined by the revised Sapporo criteria. Libman-Sacks endocarditis, livedo reticularis, superficial vein thrombosis and transient ischemic attacks were not included as thrombotic events. Discrepancies in outcomes were resolved by consensus. Results Among patients in the STARLET database, 91.8% were women, 65.5% were White, and the mean age was 42.7 (SD 15). Of 348 patients, 60 (17%) met the revised Sapporo lab criteria, and of those 30 (50%) had a thrombotic event. Among patients who met the revised Sapporo lab criteria, there was an increased risk of thrombosis (OR 3.7, 95% CI, 2.1-6.6). Among the 143 patients that had at least one positive non-criteria autoantibody, 46 (32.2%) had a thrombotic event (OR 1.6, 95% CI 0.97-2.6) (Table 1). Univariate analysis for the association between each non-criteria antibody type and thrombosis are presented in Table 1. There were statistically significant correlations between the revised Sapporo criteria aPLs and non-criteria aPLs; the IgG aPS/PT had a stronger correlation to LAC (Spearman=0.47) than the IgM aPS/PT (Spearman=0.38) (Table 2). In a multivariate analysis that controlled for age, sex, and meeting the revised Sapporo lab criteria, only the non-criteria antibody IgG aPS/PT was associated with an increased risk of thrombosis with an OR of 2.8 (95% CI, 1.3-6.0) (Table 3). There were 35 patients in our cohort that did not meet revised Sapporo lab criteria that had a positive IgG aPS/PT and of these patients 8 (22.9%) had a thrombotic event. Conclusions In this cohort of SLE patients, IgG aPS/PT and IgG aD1 β2GP1 were associated with an increased risk of thrombosis, and both antibodies were correlated with previously established aPLs. In our multivariate analysis, only the IgG aPS/PT non-criteria antibody was associated with an increased risk of thrombosis, independent of revised Sapporo criteria aPLs, with an OR of 2.8 (95% CI, 1.3-6.0). Not all patients in the STARLET database had non-criteria aPL autoantibodies measured, and so a smaller sample size may have affected our ability to detect associations with thrombosis. Given the limited data in the area, this valuable information can help inform clinician and patient decision making and provide further guidance on the role of non-criteria antibody testing for patients with SLE. Figure 1 Figure 1. Disclosures Barber: AbbVie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Sanofi Genzyme: Consultancy, Honoraria. Fritzler: MitogenDx Laboratory: Current Employment; Werfen International: Consultancy; Aesku Group: Consultancy; Alexion Canada: Consultancy. Skeith: CSL Behring: Research Funding; Leo Pharma: Honoraria; Sanofi: Honoraria.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.270
Teacher spread0.258 · 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
Published2021
Admission routes2
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