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Record W2032801229 · doi:10.1002/art.38458

A42: Anti‐Ro and Anti‐La Antibodies in the General Pregnant Population: Rates and Fetal Outcomes

2014· article· en· W2032801229 on OpenAlexaffabout
Evelyn Rozenblyum, Sharon Sukhdeo, Edgar Jaeggi, Lisa K. Hornberger, Philip Wyatt, Carl A. Laskin, Earl D. Silverman

Bibliographic record

VenueArthritis & Rheumatology · 2014
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsPacific Centre for Reproductive MedicineQuest University CanadaNorth York General HospitalUniversity of TorontoSickKids FoundationStollery Children's HospitalHospital for Sick Children
Fundersnot available
KeywordsObstetricsFetusMedicinePopulationAntibodyPregnancyBiologyImmunologyEnvironmental healthGenetics

Abstract

fetched live from OpenAlex

Background/Purpose: Neonatal lupus erythematosus (NLE) is a passively transferred autoimmune disease that occurs in babies born to mothers with anti‐Ro and anti‐La antibodies. The most serious complication of NLE is congenital heart block (CHB). In pregnancies of mothers with a known autoimmune condition and positive anti‐Ro antibodies, the incidence of heart block is approximately 1‐2% of live births. We have previously shown that only mothers with moderate‐high titre antibodies are at risk to deliver a child with CHB. However, the rate of anti‐Ro positive antibody pregnant women in an otherwise healthy population is unknown or is their risk for delivering a child with CHB. Objectives: Determine the rate of anti‐Ro/La antibodies in the general pregnant population. Determine if the incidence of CHB is increased in healthy mothers with positive Ro/La antibodies compared to mothers with known autoimmune disease and positive anti‐Ro/La antibodies. Methods: Antibody testing was performed on 15198 pregnant women who were having concurrent Maternal Serum Screening in the Metropolitan Toronto area. Maternal self‐reported outcomes of prenatal, pregnancy, and post‐natal medical conditions were reported, along with fetal outcomes of pre and post‐natal illnesses. Autoantibody titres were stratified into negative, low, moderate, and high positive. Results: 1152/151598 (7.6%) of the mothers who had anti‐Ro antibodies and 179/15198 (1.18%) had moderate‐high titres (at risk to deliver a child with CHB). 779 (5%) had anti‐La antibodies with the majority being low titre. During the course of the study there were 13 cases of CHB that were unrelated to our maternal sample population‐ 10 to well mothers and 3 to mothers with an autoimmune disease. All of these women mothers had moderate‐high titre anti‐Ro antibodies, while only 31% had moderate‐high titre anti‐La antibodies. During the course of the study 64 pregnant women with a known autoimmune disease and anti‐Ro antibodies (at risk to deliver a child with CHB) were prospectively followed. 3/64 delivered a child with CHB. All 3 of these mothers had moderate‐high titre anti‐Ro antibodies while 41/61 mothers who delivered a child without CHB had moderate‐high titre anti‐Ro antibodies. Therefore 3/44 (6.9%) mothers with moderate‐high titre anti‐Ro antibodies and an autoimmune disease delivered a child with CHB. Conclusion: The incidence of CHB is reported to be between 1:10/N15,000 pregnancies. Therefore, based on our data showing 1.18% of otherwise well pregnant woman had moderate‐high titre anti‐Ro antibodies (at risk to deliver a child with CHB), for each child with CHB we predict that 117—174 children without CHB will be delivered to otherwise healthy mothers. In contrast, in mothers with a known autoimmune disease and moderate‐high anti‐Ro antibody titre, we found a 6.9% incidence of CHB and therefore for each child with CHB there were 14 children without CHB born. Therefore the risk for a woman with a known autoimmune disease and moderate‐high titre anti‐Ro antibodies was approximately 10x that of otherwise healthy pregnant women. These data therefore suggest that the anti‐Ro antibody repertoire differs between these 2 groups of pregnant women.

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)0.002
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.015
GPT teacher head0.304
Teacher spread0.289 · 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".

Quick stats

Citations4
Published2014
Admission routes2
Has abstractyes

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