A Retrospective Study on the Impact of Primary Aldosteronism in Pregnancy (H.A.P.P.I. Study Group)
Bibliographic record
Abstract
OBJECTIVE: Primary aldosteronism (PA) is a common cause of hypertension in young women. However, there is a paucity of data regarding its impact during pregnancy. The primary objective of this study was to describe the occurrence of hypertensive disorders of pregnancy (HDP) in PA. DESIGN: This retrospective cohort study compared outcomes in pregnancies according to PA status. PATIENTS: Pregnancies occurred between 2011 and 2022 at the Centre Hospitalier Universitaire de Sherbrooke. All selected pregnancies were screened for PA with an aldosterone-to-renin ratio (ARR) within a 5-year period. Pregnancies with more than two fetuses and with other endocrinopathies were excluded. MEASUREMENTS: To ascertain PA diagnosis, ARR measurements were conducted, followed by a confirmatory test if abnormal. RESULTS: Among 226 studied pregnancies, 15 (6.6%) were diagnosed with PA. In the PA group, pre-eclampsia was diagnosed in 46.7% of pregnancies (vs. 30.8%, p = 0.252), while gestational hypertension was diagnosed in 0.0% of pregnancies (vs. 16.6%, p = 0.136). Post-partum HDP occurred in 40.0% of pregnancies with PA (vs 19.4%, p = 0.093). Additionally, 40.0% and 13.3% of pregnancies with PA respectively required intravenous antihypertensive treatment (vs. 24.2%, p = 0.216) and intensive care admission (vs. 3.3%, p = 0.113). CONCLUSIONS: A trend towards an increased incidence of postpartum and severe pre-eclampsia was noted in the PA group.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".