Pregnancy Outcomes in Systemic Lupus Erythematosus with and without Previous Nephritis
Bibliographic record
Abstract
OBJECTIVE: To compare rates and predictors of pregnancy complications in mothers with systemic lupus erythematosus (SLE) with and without previous nephritis (PN). METHODS: Retrospective analysis of 107 pregnancies in 83 women with SLE diagnosed prepregnancy. RESULTS: Mothers with PN had higher rates of preterm delivery (< 37/40, 30% vs 11%, p = 0.029) than those without PN. Women with PN had earlier onset of preeclampsia [median 34.5 weeks (IQR 32-37) vs 37.5 weeks (IQR 35-38, p = 0.047)] that was more frequently complicated by preterm delivery (p = 0.02). Risk factors for preeclampsia in women with PN include 10-13 weeks' gestation diastolic blood pressure > 80 mmHg and proteinuria, and prepregnancy estimated glomerular filtration rate (eGFR) < 90 ml/min/1.73 m(2). In women with PN, midtrimester uterine-artery-Doppler notching had low negative predictive value (47%). After 39 months followup, eGFR was stable in women with or without PN. CONCLUSION: In SLE, preterm deliveries are more frequent and preeclampsia occurs earlier in women with PN, but longterm eGFR is preserved.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".