Sympathetic Neurovascular Regulation During Pregnancy: A Longitudinal Case Study
Bibliographic record
Abstract
Pregnancy is associated a ~50% increase in blood volume, ~40% increase in cardiac output (Q), offset by a drop in total peripheral resistance (TPR). While limited data indicate a concurrent increase in sympathetic nerve activity (SNA) in normal pregnancy, suggesting reduced transduction of SNA into TPR, longitudinal neurovascular adaptation during gestation remains poorly understood. We conducted a longitudinal assessment of SNA and TPR in a 36 year old woman during her second pregnancy. Measures were made on 2 occasions in the month prior to conception, 4 occasions during pregnancy (9, 24, 30, and 38 wks gestation) and again 10 wks postpartum. Mean arterial pressure (MAP; Finometer) and Q (ModelFlow) were measured and used to calculate TPR. SNA was measured using microneurography (peroneal nerve). There was a gestationally dependent increase in SNA burst frequency (r 2 =0.970, P<0.01) and incidence (r 2 =0.977, P<0.01); frequency (24 bpm to 59 bpm) and incidence (34 b/100hb to 65 b/100hb) increased 145% and 89% respectively by 38 wks compared to early follicular values. However, transduction (TPR/SNA Burst Frequency) decreased throughout pregnancy (r 2 =0.952, P<0.05; 0.80 au to 0.21 au). By 10 wks postpartum, SNA (24 bpm; 28 b/100hb) had returned to pre‐pregnant values whereas transduction (0.44au) remained lower. These longitudinal data highlight the progressive sympoathoexcitation during pregnancy which is offset by a concurrent reduction in neurovascular transduction. Sympathetic hyperactivity reverses early in the post‐partum whereas transduction remains decreased. Funded by WCHRI, NSERC, HPF
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".