Funding Information This study was funded by the Canadian
Bibliographic record
Abstract
doi:10.14814/phy2.12217 Women who develop pre-eclampsia are at high-risk for premature cardiovas-cular disease and death. The aim of this study was to assess microvascular function and cardiovascular risk in the early postpartum period for women who did/did not have a pregnancy complicated by pre-eclampsia. Peripheral microvascular function was assessed in women in the third trimester of uncomplicated pregnancies, with re-evaluation at 2 and 6 months postpartum. The effect of pre-eclampsia on postpartum microvascular function was assessed 2 and 6 months after delivery. Never-pregnant, naturally cycling women served for comparison. Cutaneous microvascular reactivity to acetyl-choline and sodium nitroprusside, delivered locally by iontophoresis, was measured by laser Doppler flowmetry. 30-year and lifetime risk estimates for cardiovascular disease were established. Acetylcholine-mediated vasodilation was enhanced by normotensive pregnancy, and declined to nonpregnant levels by 6 months postpartum. Acetylcholine-mediated vasodilation remained high in pre-eclamptic subjects from 2 to 6 months postpartum compared to nor-motensive and never-pregnant controls. Pre-eclamptic subjects exhibited ele-vated 30-year and lifetime risk at 6 months postpartum. This study provides in vivo evidence of microvascular and cardiovascular risk implications of pre-eclampsia as early as 6 months postpartum, and suggests that the development of pre-eclampsia may be used to identify women at risk and eligible for risk screening and intervention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.453 | 0.063 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".