Preoperative Angiotensin Converting Enzyme Inhibitor or Angiotensin Receptor Blocker Use and Acute Dialysis: A Population Based Cohort Study
Bibliographic record
Abstract
Angiotensin converting enzyme inhibitor (ACEi) or angiotensin receptor blocker (ARB) use prior to major surgery is controversial. We performed a population based retrospective cohort study of 237,208 elderly patients (of whom 101,494 (42.8%) were ACEi or ARB users) who underwent major elective surgery from 1995 to 2010 in Ontario, Canada. The primary outcome was acute kidney injury treated with dialysis (AKI-D) within 14 days following surgery (810 (0.34%) patients). The secondary outcome was all-cause mortality within 90 days following surgery (11,089 (4.67%) patients). After adjusting for potential confounders, preoperative ACEi or ARB use was associated with a lower relative risk of AKI-D (adjusted relative risk (RR): 0.83; 95% confidence interval (CI): 0.71 to 0.98) and a lower relative risk of all-cause mortality (adjusted RR: 0.91; 95% CI: 0.87 to 0.95). Results were consistent in propensity score matched analyses. We observed a significant effect modification by chronic kidney disease on AKI-D (p-value < 0.0001). Randomized controlled trials are needed to clarify this issue.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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".