Autonomic Nervous System Evaluation Using Heart Rate Variability Parameters in Vasomotor Rhinitis Patients
Bibliographic record
Abstract
OBJECTIVE: To evaluate the autonomic nervous system in vasomotor rhinitis patients using heart rate variability parameters. PATIENTS AND METHODS: The heart rate variability parameters (SDANN, SDNN, SDNN index, RMSSD, pNN50, triangular index) of 26 patients with vasomotor rhinitis were compared with those of 25 control subjects. RESULTS: The decrease in the SDANN and SDNN index in the vasomotor rhinitis patients is statistically significant. Likewise, the SDNN and triangular index decreased but not to a statistically significant degree. The decrease in rMSSD and pNN50, which are signs of parasympathetic nervous system hyperactivation, in the patient group is statistically significant when compared with the control group (p < .005). CONCLUSION: The results of this study suggest that there might be an abnormality in the autonomic nervous system of vasomotor rhinitis patients, which might be due to a hyperactive parasympathetic nervous system.
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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".