Relationships between pain intensity and heart rate variability in patients after abdominal surgery: a pilot study.
Bibliographic record
Abstract
BACKGROUND: A link between postoperative pain intensity and heart rate variability (HRV) had not been well established. This study aimed to investigate the correlation between post-operative pain intensity and HRV. METHODS: The subjects in this cross-sectional correlation study comprised of patients who had undergone abdominal surgery in a regional teaching hospital in central Taiwan during the period July 2009 - November 2009. The visual analogue scale (VAS) and the short-form McGill pain questionnaire (SF-MPQ) were used to measure post-operative pain. HRV was measured as the standard deviation of normal RR interval, and by power spectral analysis that included high frequency (HF), low frequency (LF), very low frequency power, and LF/HF ratio. RESULTS: A total of 34 subjects were included in this study. We found that the day after the surgery, the mean VAS score was 47.50 ± 20.98 and the mean SF-MPQ score was 18.06 ± 8.90, indicating a moderate degree of pain. Moderate to severe degrees of tenderness were reported by 70.6% of the patients, moderate to severe degrees of gnawing pain were experienced by 67.7% of the patients, moderate to severe degrees of tiring-exhaustion pain were reported by 64.7% of the patients, and 41.2% of the patients who experienced moderate to severe pain believed that the pain was punishing-cruel. The standard deviation of normal RR interval and high frequency values obtained from male patients or married patients were higher than female patients or unmarried (P < 0.05). The correlation of the standard deviation of normal RR interval, high frequency, very low frequency value and patient's age were negative (P < 0.05). The total SF-MPQ pain scores positively correlated with the LF/HF ratio (P < 0.05). CONCLUSIONS: The multidimensional pain assessment tool (SF-MPQ) reflects better the patients' post-operative pain than the single-dimensional assessment tool (VAS). HRV positively correlated with SF-MPQ scores in patients after abdominal surgery.
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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) | 0.000 | 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 | 0.001 |
| 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".