Heart failure and dysrhythmias after maternal placental syndromes: HAD MPS Study
Bibliographic record
Abstract
BACKGROUND: Maternal placental syndromes (MPS)-gestational hypertension, pre-eclampsia and placental abruption/infarction-are more prevalent in women with features of the metabolic syndrome (MetSyn). Both MPS and the MetSyn predispose to left ventricular impairment and sympathetic dominance after delivery. Whether this translates into a higher risk of heart failure (HF) and cardiac dysrhythmias is not known. OBJECTIVE: To determine the risk of new onset of HF and dysrhythmias among women after a prior MPS-affected pregnancy. METHODS: A retrospective cohort study was carried out of 1,130,764 individual women with a delivery in Ontario between 1992 and 2009, excluding those with cardiac or thyroid disease 1 year before delivery. The risk of a composite outcome of a hospitalisation for HF or an atrial or ventricular dysrhythmia was compared in women with and without MPS, starting 1 year after delivery. RESULTS: 75,242 individuals (6.7%) experienced a MPS. After a median duration of 7.8 years, the composite outcome occurred in 148 women with MPS (2.54 per 10,000 person-years) and 1062 women without MPS (1.28 per 10,000 person-years) (crude HR=2.00, 95% CI 1.68 to 2.38). The mean age at composite outcome was 37.8 years. The HR was 1.61 (95% CI 1.35 to 1.91) after adjustment for demographic characteristics, diabetes, obesity, dyslipidaemia and drug dependence or tobacco use, as well as coronary artery disease or thyroid disease >1 year after delivery. The adjusted HRs were minimally reduced by further adjusting for chronic hypertension (1.51, 95% CI 1.26 to 1.80) and were higher in women with MPS plus preterm delivery and poor fetal growth (2.42, 95% CI 1.25 to 4.67). CONCLUSIONS: Women with MPS are at higher risk of premature HF and dysrhythmias, especially when perinatal morbidity is present.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".