THE PRECAREFEM COHORT: CARDIOVASCULAR AND METABOLIC CHARACTERISTICS IN WOMEN WITH ADVERSE PREGNANCY OUTCOMES WITH A FOCUS ON HYPERTENSIVE DISORDERS OF PREGNANCY AND THEIR OFFSPRING
Bibliographic record
Abstract
Objective: In women, traditional and female-specific risk factors for cardiovascular disease are often under-recognized and undertreated. Pregnancy represents a crucial window of opportunity to identify a high-risk population. Adverse pregnancy outcomes, including hypertensive disorders of pregnancy, can help recognize high-risk individuals who may benefit from targeted primary and secondary prevention for CVD and chronic kidney disease (CKD). Design and method: In 2021, the Postpartum Care Outpatient Clinic at the University Hospital St. Pölten, Austria (PreCareFem) was established. Within this clinical program a prospective, open-label, observational cohort was implemented to research cardiovascular and metabolic postpartum biomarkers of women at risk. Results: The PreCareFem Cohort investigates cardiovascular outcomes in women following adverse pregnancy outcomes (APOs), with a focus on hypertensive disorders of pregnancy. Postpartum, women are invited for follow-up at 3 months, 1 year, 2 years, 5 years, and 10 years. A comprehensive panel of clinical outcomes are collected, including pregnancy outcomes, cardiovascular risk assessments, anthropometric data, vascular age, ambulatory blood pressure measurements and outcomes of their offspring. In addition, blood samples to assess transcriptional, epigenetic and metabolic biomarkers are stored at -80°C. As of January 2023, 96 women with a mean age of 31.3 years at delivery were seen for follow-up at 3-6 months postpartum. Among them, 35.4% had a BMI >30 kg/m^2, 56% were nulliparous, and by the 12-month follow-up, 12 of 59 women were diagnosed with new chronic conditions. Conclusions: By integrating clinical care and longitudinal research, the PreCareFem Cohort study aims to investigate the transgenerational course and mechanisms of cardiovascular disease in a high-risk population identified by adverse pregnancy outcomes. This will also inform future cardiovascular prevention strategies in women and their offspring.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".