Pregnancy outcomes among Egyptian women with systemic lupus erythematosus: A prospective cohort study
Bibliographic record
Abstract
Pregnant patients with systemic lupus erythematosus (SLE) represent a high-risk group. The aim of this study is to describe the pregnancy outcomes among SLE patients who were followed prospectively at a conjoint high-risk pregnancy/rheumatology clinic from 2007 to 2021 and to identify predictors of adverse maternal and fetal outcomes. This study included 201 singleton pregnancies of 123 women with SLE. Their mean age was 27.16 ± 4.80 years, and their mean disease duration was 7.35 ± 5.46 years. Secondary antiphospholipid syndrome (APS) was diagnosed in 77 (38.3%) pregnancies. The pregnancy was planned in 104 (51.7%) pregnancies. Flares occurred in 83 (41.3%) and pre-eclampsia in 15 (7.5%) pregnancies. Full-term pregnancy occurred in 93 (46.3%), fetal loss (miscarriage and intra-uterine fetal death) in 41 (20.4%), and prematurity in 67 (33.3%) of the pregnancies, respectively. Seven neonates died from complications of prematurity, and another one died from cardiac congenital anomalies. In the multivariate analyses, unplanned pregnancy was associated with eight times higher risk of disease flare OR = 7.92 ( p < 0.001), lupus nephritis flare during pregnancy increased the odds of pre-eclampsia occurrence four times OR = 3.98 ( p = 0.02), while disease flares during pregnancy predicted prematurity OR = 2.49, p = 0.049. Patients with secondary APS had three times increased risk of fetal loss OR = 2.97, p = 0.049. To conclude, unplanned pregnancy, disease flares, and APS have been identified as predictors for adverse maternal and/or fetal outcomes. Pregnancy planning is necessary to reduce maternal and fetal complications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".