MétaCan
Menu
← Back to cohort

Overweight and Obesity Are Key Modifiable Risk Factors for Adverse Outcomes in Systemic Lupus Erythematosus Pregnancies

2025· article· en· W4411885224 on OpenAlexaffvenueabout
Évelyne Vinet, J.‐F. Boivin, Karim Sacré, Ann E. Clarke, Megan R.W. Barber, Paul R. Fortin, John G. Hanly, Alexandra Legge, Sang-Cheol Bae, Sasha Bernatsky

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsDalhousie UniversityNova Scotia Health AuthorityUniversité LavalCentre hospitalier de l'Université LavalMcGill UniversityUniversity of CalgaryMcGill University Health Centre
Fundersnot available
KeywordsMedicineOverweightBody mass indexObstetricsPregnancyGestationPreeclampsiaGestational ageProspective cohort studyInternal medicine

Abstract

fetched live from OpenAlex

Objectives To determine if overweight (25-29.9 kg/m2) or obese (≥30 kg/m2) baseline body mass index (BMI) conferred higher adverse pregnancy outcomes (APO) risk compared to BMI <25 kg/m2 in a prospective systemic lupus erythematosus (SLE) pregnancy cohort. Methods We enrolled pregnant SLE women at <17 weeks gestation at 5 Systemic Lupus International Collaborating Clinics centers in Canada and South Korea. We collected data on demographics, obstetrical history, SLE characteristics, baseline comorbidities, and APO at each of the 2nd trimester, 3rd trimester, and end-of-pregnancy (8-12 weeks) visits. APO included: (1) fetal death >20 weeks’ gestation, (2) neonatal death due to preterm birth and/or placental insufficiency, (3) preterm delivery or termination <36 weeks due to placental insufficiency, gestational hypertension, preeclampsia, and/or eclampsia, and (4) small for gestational age (<5th percentile). We assessed the proportion of APO across the different BMI groups. We conducted a multivariate analysis using the Korean BMI classification for pregnancies from Asian mothers [obese (BMI ≥25 kg/m2), overweight (BMI 23-24.9 kg/m2), and normal weight (BMI <23 kg/m2)]. Results We analyzed 80 completed pregnancies, with a mean maternal age of 33.9 years (standard deviation, SD 4.1) and BMI of 26.0 kg/m2 (SD 6.7). Almost half (40%) of pregnancies had a maternal BMI ≥25 kg/m2. Non-Hispanic Whites made up 40% of the pregnancies and more than half (56%) of pregnancies with a maternal BMI ≥30 kg/m2 (Table 1). Overall, APO occurred in 8 (10%) pregnancies. The proportion of APO was 19% [95% CI 0, 38%] in both the BMI 25-29.9 kg/m2 and BMI ≥30 kg/m2 groups and 4% (95% CI 1, 12%) in the BMI <25 kg/m2 group. In univariate analysis, there was more than a 5-fold increased risk of APO in pregnancies with maternal BMI ≥25 kg/m2 versus those with BMI <25 kg/m2 [odds ratio (OR) 5.31; 95% CI 1.00, 28.24]. In multivariate analysis, using the Korean BMI classification for all Asian mothers and adjusting for race and antiphospholipid antibody status, overweight and obese pregnancies had a substantially increased risk of APO compared to those with normal weight (OR 6.32; 95% CI 1.25, 32.0). Table 1. SLE Pregnancy Characteristics by Body Mass Index (BMI, kg/m 2 ) Conclusion Overweight and obese SLE women had higher APO risk compared to those with normal weight. High BMI may be a modifiable risk factor for APO in women with SLE. Supported by a CIORA grant

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)0.003
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.281
Teacher spread0.264 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueThe Journal of Rheumatology→Same topicSystemic Lupus Erythematosus Research→French-language works237,207→