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Risk of Incident Atrial Fibrillation in Women With a History of Hypertensive Disorders of Pregnancy: A Population-Based Retrospective Cohort Study

2025· article· en· W4407376183 on OpenAlexaffabout
Amy Johnston, William Petrcich, Graeme N. Smith, Deshayne B. Fell, Peter Tanuseputro, Thais Coutinho, Jodi D. Edwards

Bibliographic record

VenueCirculation · 2025
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsChildren's Hospital of Eastern OntarioKingston Health Sciences CentreUniversity of Ottawa
Fundersnot available
KeywordsMedicineHazard ratioAtrial fibrillationProportional hazards modelRetrospective cohort studyPopulationPregnancyCohortPediatricsCohort studyInternal medicineObstetricsConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: Hypertensive disorders of pregnancy (HDP) are a major cause of maternal morbidity and mortality and are associated with acute cardiac events in the peripartum period, as well as cardiovascular disease later in life. Despite the robust association between hypertension and atrial fibrillation (AFib), comparatively little is known about HDP and its subtypes as sex-specific risk factors for AFib. METHODS: A population-based retrospective cohort study was conducted, including 771 521 nulliparous women discharged for obstetrical delivery of their first live or stillborn singleton infant between 2002 and 2017 in Ontario, Canada. Data were obtained from record-level, coded, and linked population-based administrative databases housed at ICES. Using competing risks Cox proportional hazards regression, we estimated crude and multivariable-adjusted cause-specific hazard ratios and 95% CIs for associations between history of any HDP (and its 6 subtypes), and AFib before death, as well as all-cause mortality without a previous AFib diagnosis. RESULTS: Approximately 8% of women were diagnosed with HDP during the 16-year exposure accrual period. The total person-time of follow-up was 7 380 304 person-years, during which there were 2483 (0.3%) incident AFib diagnoses and 2951 (0.4%) deaths. History of any HDP was associated with an increased cause-specific hazard ratios of incident AFib and death without a previous AFib diagnosis (adjusted cause-specific hazard ratios, 1.45 [95% CI, 1.28-1.64] and 1.31 [95% CI, 1.16-1.47], respectively). These associations were observed in relatively young women (median time to event, 7 years postpartum). Associations suggestive of a dose-response relationship were observed, with more severe HDP subtypes and prepregnancy chronic hypertension associated with a 1.5 to 2.2 times higher cause-specific rate of AFib, and a 1.4 to 2.1 times higher cause-specific rate of death compared with no hypertension in pregnancy. CONCLUSIONS: Women exposed to HDP in their first delivery have a significantly increased cause-specific hazard ratios of incident AFib compared to their unexposed counterparts, with higher rates observed in subjects exposed to more severe de novo HDP diagnoses as well as chronic hypertension in pregnancy. These findings underscore the need to consider HDP history in risk calculation/stratification for arrhythmic and nonarrhythmic cardiovascular diseases, improve surveillance of traditional and female-specific cardiovascular disease risk factors, and develop targeted prevention strategies to reduce the occurrence and burden of HDP.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.401

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.240
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2025
Admission routes2
Has abstractyes

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