Bibliographic record
Abstract
We appreciate Manning et al.’s comments about our article1 and the issues surrounding withholding of Angiotensin Converting Enzyme Inhibitors (ACEis) and Angiotensin II Receptor Blockers (ARBs) before noncardiac surgery. We agree that large, international, randomized trials are required to optimally inform the effects of medications in the perioperative period; however, we do not agree that there is a compelling reason to conduct separate trials for ACEi and ARB medications in the surgical setting. The authors suggest that, based on some differences in their mechanisms of action, the withholding of these medications before surgery may produce different effects on major outcomes and should be considered separately. The Vascular events In noncardiac Surgery patIents cOhort evaluatioN (VISION) Study did not differentiate between ACEi and ARB medications and cannot inform whether there was a difference in effect between these drugs.In general cardiology, the issue of whether the differences in mechanisms of action of ACEi and ARB medications results in differential clinical effects has been explored. The Ongoing Telmisartan Alone and in Combination with Ramipril Global Endpoint Trial (ONTARGET) randomized 8,576 patients to receive ramipril (an ACEi) 10 mg per day and 8,542 patients to receive telmisartan (an ARB) 80 mg per day and followed patients for a median of 56 months.2 The primary composite outcome (a composite of cardiovascular death, myocardial infarction, stroke, or hospitalization for heart failure) occurred in 1,412 patients (16.5%) assigned ramipril and 1,423 patients (16.7%) assigned telmisartan (relative risk, 1.01; 95% CI, 0.94 to 1.09). Moreover, there was no difference across the treatment groups in any of the individual components of the composite outcome.The authors suggest that perioperative discontinuation of ACEi or ARB medications may potentially cause rebound hypertension and that this, too, may differ between these drug classes. A trial of 526 patients randomized to withhold or continue their ACEi or ARB before noncardiac surgery (approximately half of the patients were taking an ACEi and the other half an ARB) demonstrated that the withholding of these medications did not increase preoperative or postoperative hypertension.3 Although there were no separate analyses for ACEi and ARBs, we would expect at least some trend toward an increased risk of hypertension if the discontinuation of either medication produced this effect.The authors suggest that the duration for which patients have been taking an ACEi before surgery also may modify the effect of preoperative withholding because of the angiotensin escape phenomenon. We did not collect data regarding the duration of preoperative ACEi therapy; however, the escape phenomenon manifested within days to two weeks of initiating ACEi therapy.4 We believe few patients would have initiated an ACEi within days to two weeks before surgery because of prior concerns in the literature about the use of ACEi in the perioperative setting.We agree with the authors that large trials should inform the treatment effects of perioperative medications. Until such a trial occurs, we believe that—based on data from the VISION Study—physicians should consider withholding ACEi and ARB medications in patients undergoing noncardiac surgery.Dr. Roshanov declares no competing interests. Dr. Devereaux declares grants from Roche-Diagnostics (Mannheim, Germany) and Abbott-Diagnostics (Abbott Park, Illinois) during the conduct of the study, and grants from Octopharma (Lachen, Switzerland), Philips Healthcare (Amsterdam, The Netherlands), Stryker (Hamilton, Ontario, Canada), Covidien (Minneapolis, Minnesota), and Boehringer Ingelheim (Ingelheim am Rhein, Germany) outside the submitted work.
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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 | 0.007 | 0.084 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.020 | 0.032 |
| Insufficient payload (model declined to judge) | 0.053 | 0.037 |
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".