Activation of the renin–angiotensin system contributes significantly to the pathophysiology of oliguria in patients undergoing posterior spinal fusion
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: This study was undertaken to investigate the role played by antidiuretic hormone (ADH), the renin-angiotensin system and atrial natriuretic factor (ANF) in the oliguria in patients undergoing spinal fusion. METHODS: Sixteen patients undergoing posterior spinal fusion using isoflurane and fentanyl (n = 8) or sufentanil (n = 8) had renin, aldosterone, ADH and ANF measurements. RESULTS: Compared to the non-oliguric patients, the oliguric patients had a higher number of fused vertebrae 10.5 +/- 1.3 vs. 9.0 +/- 0.5 (P = 0.01) and higher renin values at 12h (3.3 +/- 3.2 vs. 0.7 +/- 0.6 ng L(-1) s(-1), P = 0.04). Hormonal values that had a significant correlation with intraoperative diuresis were: renin at 0.5 h (r2 = 0.26, P = 0.04), aldosterone at 0.5 h (r2 = 0.30, P = 0.03) and ANF at 0.5 h (r2 = 0.32, P = 0.02). Those that had a significant correlation with the mean postoperative diuresis were: renin at 6 h (r2 = 0.29, P = 0.03), 8h (r2 = 0.26, P = 0.04) and 12h (r2 = 0.31, P = 0.03), aldosterone at 6h (r2 = 0.54, P = 0.001), 8h (r2 = 0.40, P = 0.01) and 12h (r2 = 0.32, P = 0.03), ADH at 24h (r2 = 0.38, P = 0.01) and ANF at 6h (r2 = 0.26, P = 0.045). Using stepwise regression, excluding hormonal values, only two continuous variables had a significant correlation with the mean postoperative diuresis: the number of fused vertebrae (P = 0.02) and the length of surgery (P = 0.02). CONCLUSION: Activation of the renin-angiotensin system is the major cause of the early intraoperative oliguria. ADH and the renin-angiotensin system are both involved in the pathophysiology of postoperative oliguria in patients undergoing spinal fusion.
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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".