Pregnancy, delivery, and neonatal outcomes among women with psoriatic arthritis, a population based study
Bibliographic record
Abstract
OBJECTIVES: Many autoimmune diseases negatively affect pregnancies. Studies report conflicting data about the effects of psoriatic arthritis (PsA) in pregnancy. We sought to evaluate the pregnancy, delivery, and neonatal outcomes among women with PsA. METHODS: We conducted a retrospective population-based study using data from the Healthcare Cost and Utilization Project-Nationwide Inpatient Sample (HCUP-HIS). Cases of PsA were identified using the ICD code 696.0. Pregnancies complicated with PsA were compared with the other pregnancies. A multivariate logistic regression was used to adjust for confounding variables. RESULTS: A total of 9,096,369 control births and 419 with PsA occurred during the study period. Women with PsA were more likely to be older, Caucasian, obese, have a higher income, and private insurance (p-value <0.0001 all). Also, they were more likely to start their pregnancy with chronic hypertension, pregestational diabetes, thyroid disorders, inflammatory bowel disease, and depression. Rates of pregnancy induced hypertension (PIH) (aOR 1.58, 95% CI 1.13-2.21) and small for gestational age (SGA) (aOR 2.42, 95% CI 1.49-3.93) were higher in PsA. There were no differences in the rates of most outcomes including: preeclampsia, gestational diabetes, preterm delivery, preterm premature rupture of membranes (PPROM), placenta previa, abruption, modes of delivery, hemorrhage, deep vein thrombosis (DVT), pulmonary embolism (PE), chorioamnionitis, intrauterine fetal death, or congenital anomalies (p>0.05 all). CONCLUSIONS: Women with PsA should be reassured about their pregnancy outcomes as only PIH and SGA were more common. Healthcare providers should take appropriate surveillance and preventive methods to mitigate the effect of these two complications in pregnancies complicated with PsA.
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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 | 0.001 | 0.000 |
| 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) | 0.001 | 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 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".