Outcomes of pregnancies in women with suspected antiphospholipid syndrome
Bibliographic record
Abstract
OBJECTIVES: To evaluate maternal and neonatal outcomes in women suspected to have primary antiphospholipid syndrome (PAPS). METHODS: A cohort from the Nova Scotia Atlee Perinatal Database (n = 211034) was studied. A total of 58 women with antiphospholipid antibodies without a clinical diagnosis of rheumatologic disease were evaluated. We compared them to maternal and neonatal outcomes of women without rheumatologic disease or PAPS who delivered in Nova Scotia 1988-2008. RESULTS: With PAPS, mean maternal age was older; mean gestational age and mean neonatal birth weight were less. With bivariate analysis, maternal colonization and urinary tract infection with group B streptococcus, thromboembolic disease, thrombocytopenia and Caesarean birth were more frequent in the suspected PAPS group compared to the control. Among neonates, hyperbilirubinemia, anemia, apnea, intraventricular hemorrhage grade I and II, retinopathy of prematurity, bronchopulmonary dysplasia, neonatal intensive care unit admission, and assisted ventilation occurred more frequently with PAPS. Babies in PAPS group had a longer hospital stay (8.7 vs 3.9 days). Logistic regression analysis identified that PAPS was only associated with increased risks of preeclampsia (Odds Ratio (OR) 2.2; 95% Confidence Interval (CI) 1.1-4.3; P = 0.016), urinary tract infection (OR 2.2; 95% CI 1.1-4.6; P = 0.02), and prematurity (gestational age ≤37) (OR 2.2; 95% CI, 1.07-4.3, P = 0.03). Positive predictive values for pregnancy induced hypertension, urinary tract infection and prematurity in women who had suspected APS were 24.1%, 17.2% and 45.6% respectively. CONCLUSION: With suspected PAPS, risks for preeclampsia, urinary tract infection and prematurity are increased. Outcomes for babies are related to prematurity.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".