Impact of Pregnancy on Hidradenitis Suppurativa Disease Course: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: Hormones are thought to play a role in hidradenitis suppurativa (HS). However, data on the HS disease course during pregnancy and the postpartum period has not been well established. The objective of this study is to analyze the available literature to determine HS disease activity during pregnancy and the postpartum period. METHODS: The PubMed and Embase databases were systematically searched for relevant articles from database inception until November 22, 2020. The inclusion criteria were a study population with the diagnosis of HS and discussion of pregnancy impact on the HS disease course or postpartum flare. Study characteristics, patient demographics, HS severity, and HS disease course during pregnancy and the postpartum period were extracted by 2 independent reviewers. The quality of included studies was assessed using the Newcastle-Ottawa Scale for observational studies. Heterogeneity was assessed using Cochran's Q statistic and I2 index. The random-effects meta-analytical model was used. The primary study outcome was the pooled odds ratio of improvement or of worsening of HS disease activity during pregnancy. RESULTS: The systematic search identified 8 studies for analysis. There was a total of 672 cases for which data on the patient-reported HS disease course during pregnancy were available, and 164 cases for which data on patient-reported postpartum flare were available. In the meta-analyses, the rate of HS disease improvement was 24% (95% CI 0.13-0.40) and the rate of HS disease worsening was 20% (95% CI 0.11-0.34). Sixty percent (99/164) of patients experienced a postpartum flare. CONCLUSION: While about a quarter of women will experience an improvement in HS during pregnancy, the majority will have a stable or worsened disease course, and over half of patients will experience a postpartum flare. Close monitoring of HS patients is needed during pregnancy and postpartum periods, as patients may need continued, or even escalated, disease management.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.020 | 0.007 |
| 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 | 0.000 |
| 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".