Arterial Health After Preeclampsia: Role of Chronic Hypertension in the Early Vascular Aging (EVA) Study
Bibliographic record
Abstract
BACKGROUND: Preeclampsia (PE) is associated with increased cardiovascular risk. Recent data have shown worse left ventricular remodeling and diastolic function in women with PE and persistent hypertension (HTN). We performed a comprehensive arterial hemodynamic assessment to evaluate the contribution of persistent HTN on arterial health after PE. METHODS: We recruited 40 women with PE history and 40 age-matched controls (6 months to 6 years postpartum). We evaluated arterial hemodynamics with validated techniques combining applanation tonometry and transthoracic echocardiography, comparing three groups: previous PE with persistent HTN (PE-HTN), previous PE with normalized blood pressure (PE-noHTN) and controls, using multivariable linear regression adjusted for age, body surface area, heart rate, diabetes, smoking history, creatinine, and gravidity. RESULTS: Eight (20%) of the post-PE women had persistent HTN. Mean age was 35.8 ± 3.9 years, median number of pregnancies was 2 (range 1-7), and time since last pregnancy 2.1 (range 0.5-5.7) years (not different between groups, P > 0.05). Compared to controls and to PE-noHTN, PE-HTN had higher aortic stiffness, wave reflections, pulsatile, and steady arterial load (P < 0.05 for each). Among PE-noHTN, aortic stiffness, wave reflections and steady arterial load were worse than controls (P < 0.05 for each), with smaller effect sizes. CONCLUSIONS: This is the most comprehensive assessment of arterial hemodynamics and first to demonstrate the contribution of persistent HTN on worse arterial health following PE. Since measures of arterial health are associated with cardiovascular events in the population, the combination of previous PE and chronic HTN may represent a higher risk subgroup who could benefit from targeted 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".