Hidradenitis Suppurativa and Maternal and Offspring Outcomes
Bibliographic record
Abstract
Importance: Hidradenitis suppurativa (HS) is associated with morbidity in persons of reproductive age, but the effect on maternal and offspring outcomes is understudied. Objective: To determine the association of HS with pregnancy outcomes and maternal and child morbidity in the long term. Design, Setting, and Participants: This population-based longitudinal cohort study with up to 16 years of follow-up took place between 2006 and 2022 in Quebec, Canada. . Exposure: Maternal HS. Main Outcomes and Measures: Outcomes included hypertensive disorders of pregnancy, gestational diabetes, and other birth outcomes as well as the long-term risk of hospitalization up to 16 years after delivery. The study used adjusted log-binomial and Cox proportional hazards regression models to estimate the association between maternal HS and pregnancy outcomes or hospitalization following pregnancy. Outcomes in both mothers and offspring were assessed. Results: There were 1 324 488 deliveries during the study, including 1332 (0.1%) among mothers with HS. Compared with patients without HS, patients with HS had a greater risk of hypertensive disorders of pregnancy (risk ratio [RR], 1.55 [95% CI, 1.29-1.87]), gestational diabetes (RR, 1.61 [95% CI, 1.40-1.85]), and severe maternal morbidity (RR, 1.38 [95% CI, 1.03-1.84]). In neonates, maternal HS was associated with risk of preterm birth (RR, 1.28 [95% CI, 1.07-1.53]) and birth defects (RR, 1.29 [95% CI, 1.07-1.56]). In the long term, HS was associated with 2.29 times the risk of maternal hospitalization (95% CI, 2.07-2.55) and 1.31 times the risk of childhood hospitalization (95% CI, 1.18-1.45), including hospitalization for respiratory, metabolic, psychiatric, and immune-related morbidity over time. Conclusions and Relevance: This cohort study found that HS is associated with adverse maternal and offspring outcomes in the peripartum period and in the long term. Early detection and management of HS may help mitigate these outcomes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".