Metabolic Syndrome After Preeclamptic Pregnancy: A Longitudinal Cohort Study
Bibliographic record
Abstract
INTRODUCTION: History of preeclampsia increases the risk of cardiovascular disease in women. Most formerly, preeclamptic women have generally one or even more traditional cardiovascular and/or cardiometabolic risk factors consistent with metabolic syndrome in the first year after delivery. The objective of this study was to analyze the prevalence and persistence of risk factors contributing to metabolic syndrome for the course of years after preeclamptic pregnancy. METHODS: In a longitudinally cohort study, 107 formerly preeclamptic women were assessed for traditional risk factors (insulin resistance, obesity, dyslipidemia, hypertension, and microalbuminuria) of metabolic syndrome (World Health Organization criteria) at two time points: at 3-30 months postpartum (visit 1) and 24-65 months later (visit 2). RESULTS: At visit 1, 10 of 107 (9%) formerly preeclamptic women had metabolic syndrome, and at visit 2, 14 of 107 (13%) (p = 0.21) had metabolic syndrome. Most formerly, preeclamptic women (90%) did not change their metabolic syndrome status over the years, as 7 of 107 (7%) women had persistent metabolic syndrome and 90 of 107 (84%) women did not meet the criteria for metabolic syndrome on either visit. In 3 of 107 (3%) formerly preeclamptic women, metabolic syndrome disappeared over time, whereas 7 of 107 (7%) preeclamptic women developed it. CONCLUSION: The presence or absence of metabolic syndrome remains unchanged in 90% of formerly preeclamptic women for the first years after preeclampsia. Only in 10% of women, metabolic syndrome developed or recovered, indicating that early screening within the first year postpartum in these women effectively detects those with metabolic syndrome who are known to be at increased risk for cardiovascular disease later in life.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".