OVERWEIGHT AND OBESITY ARE KEY MODIFIABLE RISK FACTORS FOR ADVERSE OUTCOMES IN SLE PREGNANCIES
Bibliographic record
Abstract
O066 / #230 Topic: AS21 - Pregnancy and Reproductive Health ABSTRACT CONCURRENT SESSION 11: PREGNANCY IN SLE 24-05-2025 10:40 AM - 11:40 AM Background/Purpose High maternal body mass index (BMI) is a well-established modifiable risk factor for adverse pregnancy outcomes (APO) in the general obstetric population. Best practices recommend appropriate prepregnancy weight management to optimize outcomes. However, the prevalence of obesity and its impact in systemic lupus erythematosus (SLE) pregnancies are poorly understood, despite the higher APO risk in SLE. We evaluated baseline BMI in a prospective SLE pregnancy cohort to determine if overweight (25-29.9 kg/m²) or obese (≥30 kg/m²) BMI conferred higher APO risk compared to BMI < 25 kg/m2. Methods We enrolled pregnant SLE women at <17 weeks gestation at Systemic Lupus International Collaborating Clinics (SLICC) centers in Canada (Montreal, Quebec City, Calgary, Halifax) and South Korea (Seoul). 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 visits (8-12 weeks after end of pregnancy). 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 (SGA; < 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, categorizing BMI as follows: obese (BMI ≥25), overweight (BMI 23-24.9), and normal weight (BMI < 23). Results We analyzed 80 completed pregnancies, with a mean maternal age of 33.9 years (standard deviation, SD 4.1) and a mean maternal 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). Aspirin use was more common in the BMI ≥30 kg/m2 group, while steroids were more frequently used in pregnancies with BMI < 25 kg/m2. Overall, APO occurred in 8 (10%) pregnancies (Table 2). The proportion of APO was 19% [95% confidence interval (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 vs 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, as well as 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/m2) Table 2. Pregnancies with Adverse Outcomes by Body Mass Index (BMI, kg/m^2) Conclusions Overweight and obese SLE women had a higher risk of APO compared to the normal weight group. High BMI may be a modifiable risk factor for APO in women with SLE. Preconception weight interventions may improve outcomes in SLE pregnancies.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".