Sympathetic Nervous System Regulation in Human Normotensive and Hypertensive Pregnancies
Bibliographic record
Abstract
The progression from conception through to the postpartum period represents an extraordinary period of physiological adaptation in the mother to support the growth and development of the fetus. Cardiometabolic dysregulation during this period is associated with the future development of cardiovascular morbidity.1 In particular, hypertensive pregnancy disorders, including gestational hypertension (GH) and preeclampsia, are the leading causes of maternal–fetal morbidity and mortality in the developed world, including North America.2 In the 10 to 14 years after pregnancy, women who have had preeclampsia also demonstrate an elevated risk for hypertension (risk ratio, 3.70), ischemic heart disease (risk ratio, 2.26), stroke (risk ratio, 1.8),3 and end-stage renal disease (risk ratio, 4.7)4 compared with women who had normotensive pregnancies. However, the most sobering statistic identifies preeclampsia as an independent risk factor for cardiovascular disease death (hazard ratio, 2.14) that is further elevated with earlier onset of preeclampsia (hazard ratio, 9.54 for diagnosis by 34 weeks gestation).5 The 30-year survival rate for these women at a median age of 56 years is only 86%.5 This elevated risk is believed to be related to persistent cardiovascular dysfunction.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".