Indexes of aortic wave reflection are not augmented in estrogen‐deficient physically active premenopausal women
Bibliographic record
Abstract
BACKGROUND: Hypoestrogenemia due to menopause is associated with increased cardiovascular disease risk, in part due to elevated indexes of aortic wave reflection (AWRI) and central (aortic) blood pressure. We sought to investigate whether AWRI and central blood pressure are also augmented in hypoestrogenic exercise-trained premenopausal women with functional hypothalamic amenorrhea (ExFHA). METHODS: ), and cardiorespiratory fitness-matched (45 ± 2 ml/kg/min) eumenorrheic ovulatory (ExOv; n = 11) and ExFHA women (n = 10), we assessed aortic blood pressure and waveform characteristics (augmentation index and wave reflection amplitude) obtained from radial pressure waves (applanation tonometry). Doppler ultrasound determined cardiac output (CO) and total peripheral resistance (TPR). Measures were recorded before and 1 hour after 45 minutes of moderate intensity exercise to determine the influence of exercise-induced increases in nitric oxide. RESULTS: Pre-exercise, AIx75, central systolic BP (SBPc), and CO were lower (P < .05) and TPR higher (P < .05) in ExFHA. Post-exercise, AIx75 was unchanged (P > .05) in ExFHA but was lowered (P < .05) in ExOv. Both groups demonstrated increased CO, and lowered SBPc and TPR, yet TPR remained higher (P < .05), and CO and SBPc lower (P < .05) in ExFHA. CONCLUSIONS: Despite hypoestrogenemia, functional compliance of the central arteries and central BP is not augmented, yet TPR is higher, in ExFHA versus ExOv. An acute bout of dynamic exercise did not alter AIx75 in ExFHA, suggesting blunted vascular responsiveness to exercise-induced increases in nitric oxide, possibly due to augmented vascular tone. These findings have relevance in understanding the vascular consequences of hypoestrogenemia during the premenopausal years.
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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 | 0.000 |
| 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".