The EVA (Early Vascular Aging) Study: Association of Central Obesity With Worse Arterial Health After Preeclampsia
Bibliographic record
Abstract
Background Women with preeclampsia have a higher risk of cardiovascular disease. This is partly explained by the worse arterial health after preeclampsia. Central obesity (CO) is a risk factor for both preeclampsia and cardiovascular disease. Whether CO contributes to further worsening of arterial health after preeclampsia remains unclear. Our objective was to evaluate the effect of CO and previous preeclampsia on arterial hemodynamics. Methods and Results We studied 40 women with previous preeclampsia (<6 years) and 40 age‐matched controls with previous normotensive pregnancy in the same timeframe. We estimated arterial hemodynamics with validated techniques combining applanation tonometry and echocardiography. CO was defined as a waist‐to‐hip ratio ≥0.85. Differences in arterial hemodynamics across the 3 groups (preeclampsia with CO, preeclampsia without CO, and controls) were assessed with multivariable linear regression models adjusted for potential confounders. Twenty‐six (65%) of the participants with preeclampsia had CO compared with 18 (45%) controls. Mean waist‐to‐hip ratio in patients with preeclampsia with CO, those with preeclampsia and no CO, and controls was 0.94±0.05, 0.80±0.04, and 0.83±0.07, respectively. In multivariable analyses, women with preeclampsia and CO had higher central blood pressure, arterial stiffness (carotid‐femoral pulse wave velocity), steady arterial load (systemic vascular resistance), and wave reflections (reflected pressure wave amplitude, augmentation index) compared with controls ( P <0.05 for each). Fewer hemodynamic domains were altered in the preeclampsia with no CO group, with higher central diastolic blood pressure, systemic vascular resistance, and wave reflections than controls ( P <0.05). Conclusions Women with previous preeclampsia who also experience CO have the greatest alterations in arterial health and hemodynamics. Patients with preeclampsia with CO may represent a higher‐risk subgroup who could be targeted for risk stratification and primary prevention of cardiovascular disease.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".