Longitudinal change in arterial stiffness after delivery in women with preeclampsia and normotension: a prospective cohort study
Bibliographic record
Abstract
BACKGROUND: Preeclampsia is associated with increased arterial stiffness during pregnancy. However, data on the longitudinal change in arterial stiffness after delivery in women with preeclampsia are lacking. In this pilot study, we aimed to examine the longitudinal change in arterial stiffness using the cardio-ankle vascular index after delivery in women with preeclamptic and normotensive pregnancies. METHODS: We enrolled pregnant women with preeclampsia (n = 37) and normotension (n = 36) who gave birth at Seoul National University Bundang Hospital between March 2013 and May 2016, and followed-up at day 1, 6 months, and 12 months after delivery. The longitudinal change in the cardio-ankle vascular index and other variables (blood pressure, lipid profiles, serum creatinine, and liver enzymes) were compared between the two groups using the mixed-effects model, and interactions among the main predictors were examined. RESULTS: The longitudinal change in the cardio-ankle vascular index did not significantly differ between the two groups (β = 0.11, 95% CI: - 0.31-0.54, p = 0.60). Predictors of the longitudinal change in the cardio-ankle vascular index included age, time since delivery, body mass index, and diabetes mellitus. Women with preeclampsia showed significantly elevated blood pressure, lipid profiles, serum creatinine, and liver enzymes compared to women with normotension over the course of 1 year of follow-up. CONCLUSIONS: Preeclampsia is associated with unfavorable blood pressure and metabolic indices after delivery. However, we found no difference in the longitudinal change in arterial stiffness between women with preeclampsia and normotension over the course of 1 year after delivery. TRIAL REGISTRATION: Retrospectively registered at ClinicalTrials.gov on October 29, 2019 ( NCT04142268 ).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".