Are remission and low disease activity state ideal targets for pregnancy planning in systemic lupus erythematosus? A multicentre study
Bibliographic record
Abstract
OBJECTIVES: To determine whether disease remission or low disease activity state at the beginning of pregnancy in SLE patients is associated with better pregnancy outcome. METHODS: Pregnancies in SLE patients prospectively monitored by pregnancy clinics at four rheumatology centres were enrolled. Patient demographics and clinical information were collected at baseline (pregnancy visit before 8 weeks of gestation) including whether patients were in remission according to the Definition of Remission in SLE (DORIS) criteria and and/or Lupus Low Disease Activity State (LLDAS). Univariate and multivariate analysis were performed to determine predictors of disease flare and adverse pregnancy outcomes (APOs) including preeclampsia, preterm delivery, small for gestational age infant, intrauterine growth restriction and intrauterine fetal death. RESULTS: A total of 347 pregnancies were observed in 281 SLE patients. Excluding early pregnancy losses, 212 pregnancies (69.7%) occurred in patients who were in remission at baseline, 33 (10.9%) in patients in LLDAS, and the remainder in active patients. Seventy-three flares (24%) were observed during pregnancy or puerperium, and 105 (34.5%) APOs occurred. Multivariate analysis revealed that patients in disease remission or taking HCQ were less likely to have disease flare, while a history of LN increased the risk. The risk of APOs was increased in patients with shorter disease duration, while being on HCQ resulted a protective variable. An almost significant association between complete remission and a decreased risk of APOs was observed. CONCLUSIONS: Prenatal planning with a firm treat-to-target goal of disease remission is an important strategy to reduce the risk of disease flares and severe obstetric complications in SLE pregnancies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".