Postpartum Assessment of the Renin Angiotensin System in Women with Previous Severe, Early-Onset Preeclampsia
Bibliographic record
Abstract
CONTEXT: Women with a history of severe preeclampsia are at an increased risk for the development of vascular disease. OBJECTIVE: We hypothesized that abnormalities in the renin-angiotensin system (RAS) may be a predisposing factor. DESIGN AND SETTING: Physiological assessments were conducted at an academic center. PARTICIPANTS: Sixteen women with previous severe preeclampsia (PPE) were compared with nine previously pregnant controls (PPC) and 11 never-pregnant controls (NPC). INTERVENTIONS: Baseline circulating components of the RAS and expression of angiotensin (ANG) II type I (AT1) and type II (AT2) receptors in the skin were assessed along with the response to simulated orthostatic stress using incremental lower-body negative pressure (LBNP: -15, -25, and -40 mm Hg) and a graded ANG II infusion (1 and 3 ng/kg · min). MAIN OUTCOME MEASURES: Response to LBNP and ANG II was evaluated. RESULTS: RAS components were not different between previously pregnant groups, but were decreased compared with NPC subjects. In response to LBNP, there were significant increases in RAS components in all three groups, but the response to this stimulus was significantly lower and delayed in PPE subjects. Despite the blunted rise in circulating RAS mediators in PPE subjects, their blood pressure was maintained in 88% compared with only 33 and 55% in the PPC and NPC groups, respectively (P = 0.014). All three groups responded to the graded ANG II infusion with an increase in blood pressure that was significantly more pronounced in PPE subjects (P = 0.037) correlating with AT1/AT2 receptor expression. CONCLUSIONS: Alterations in the RAS in formerly preeclamptic patients may contribute to future vascular 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".