Autonomic and Enteric Nervous System Dysfunction May Play a Role in Hyperemesis Gravidarum
Bibliographic record
Abstract
BACKGROUND: Nausea and vomiting, seen in 70-85% of all pregnancies, becomes intractable in hyperemesis gravidarum (HG). We aimed to investigate the relationship between HG and autonomic nervous system functioning and gastric electrical activity. METHODS: Twenty-seven pregnant patients, 21 with HG and six normal, were studied with sympathetic adrenergic; percent vasoconstriction (%VC) and postural adjustment ratio (PAR); parasympathetic vagal cholinergic functions by R-to-R intervals (RRIs), a total autonomic score; and enteric nervous system measured by electrogastrography (EGG). RESULTS: Significant differences were found in parasympathetic measures (RRI for HG 29.98 ± 2.95 vs. control 40.91 ± 2.38, P < 0.05); sympathetic PAR was significantly lower in patients (PAR for HG 24.5 ± 5.0 vs. 67.6 ± 11.4 for controls, P < 0.01); mean total autonomic score was significantly lower in HG (131.75 ± 9.61 vs. 196.87 ± 12.8, P < 0.05). EGG results were borderline different (normal < 3.3, HG 3.4 vs. controls 3.0, P = 0.07). CONCLUSION: Autonomic and enteric nervous system dysfunction may play a role in the pathophysiology of HG.
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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 | 0.001 |
| 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".