Abstract 13430: Arterial Health After Preeclampsia: Role of Chronic Hypertension
Bibliographic record
Abstract
Introduction: Preeclampsia (PE) is associated with an increased cardiovascular (CV) risk. Recent data have shown worse left ventricular remodeling and diastolic function in women with PE and persistent hypertension (HTN). To improve our understanding of CV risk after PE, we evaluated the contribution of persistent HTN on arterial health. Methods: We recruited 40 women with PE history and 40 age-matched women with normotensive pregnancies (6 months - 6 years post-partum). We comprehensively evaluated measures of arterial health and hemodynamics with validated technique combining applanation tonometry and transthoracic echocardiography. We compared 3 groups: previous PE with persistent HTN (PE-HTN), previous PE with normalized blood pressure (PE-noHTN) and controls. Associations of PE-HTN with arterial health measures were assessed with multivariable linear regression adjusted for age, BSA, heart rate, diabetes, smoking history, serum creatinine and parity. Results: Eight (20%) of the post-PE women had persistent HTN. Mean age was 35.8 ± 3.9 years, number of pregnancies was 2.4 ± 1.4, and time since last pregnancy was 2.6 ± 1.2 years, and not different across the 3 groups (P<0.05 for each). Results of the multivariable linear regression models are summarized in the Figure, demonstrating that women with PE-HTN had significantly higher aortic stiffness, wave reflections, pulsatile and steady arterial load than controls. Among women with previous PE whose blood pressure normalized postpartum, arterial stiffness, wave reflections and steady arterial load were also worse compared to controls, albeit with smaller effect size (p<0.05). Conclusions: This is the first study to demonstrate the contribution of persistent HTN on worse arterial health following PE. Since measures of arterial health are associated with CV events in the population, women with PE-HTN may represent a higher risk subgroup who could benefit from targeted primary prevention strategies.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".