Does Tight Heart Rate Control Improve Beta-Blocker Efficacy? An Updated Analysis of the Noncardiac Surgical Randomized Trials
Bibliographic record
Abstract
BACKGROUND: Recent meta-analyses assessing the efficacy of perioperative beta-blockade trials have failed to show a reduction in postoperative morbidity and mortality. Tight control of heart rate (HR) has been suggested to improve these outcomes. Meta-analyses have not considered the influence of tight HR control on the efficacy of perioperative beta-blockade. METHODS: Using previously published search strategies, we identified all randomized trials evaluating perioperative beta-blockers after noncardiac surgery. This search yielded 10 trials with 2176 patients. We used the data from these studies to correlate measures of HR control with major postoperative outcomes, primarily in-hospital myocardial infarction (MI). Odds ratio (OR) and 95% confidence intervals (CI) were calculated, and metaregression was performed correlating measures of HR control with MI. RESULTS: The combined results of all studies did not show a significant cardioprotective effect of beta-blockers, with considerable heterogeneity among the studies (OR = 0.76; 95% CI = 0.4-1.4; P = 0.38 heterogeneity: I(2) = 34%). However, grouping the trials on the basis of maximal HR showed that trials where the estimated maximal HR was <100 bpm were associated with cardioprotection (OR = 0.23; 95% CI = 0.08-0.65; P = 0.005) whereas trials where the estimated maximal HR was >100 bpm did not demonstrate cardioprotection (OR = 1.17; 95% CI = 0.79-1.80; P = 0.43) with no heterogeneity. Moreover, metaregression of the HR response to beta-blockade against the log OR of postoperative MI demonstrated a linear association between the effect of beta-blockade on the mean, maximal, and variation in HR and the OR of an MI (r(2) = 0.63; P < 0.001) where a larger effect of beta-blockers on HR was associated with a decreased incidence of postoperative MI. Across all studies, beta-blockade resulted in a reduction in postoperative HR (weighted mean difference: 8.6 bpm; 95% CI = -9.6 to -7.6; I(2) = 85.3%) with considerable heterogeneity. This large heterogeneity in HR response to beta-blockade was found to be related, in part, to the type of beta-blocker, specifically, metoprolol, and the concomitant use of calcium channel blockers. Calcium channel blocker use and beta-blockers other than metoprolol resulted in more effective control of HR. There was wide variability in the HR response to beta-blockade. Twenty-five percent of patients receiving beta-blockers had episodes when the HRs were more than 100 bpm, although 15% of placebo patients also had bradycardia, which would have required a dose reduction had they been administered beta-blockers. Finally, this analysis found that perioperative beta-blockade was associated with an increased incidence of bradycardia (OR = 3.49; 95% CI = 2.4-5.9) and congestive heart failure (OR = 1.68; 95% CI = 1.00-2.8). CONCLUSIONS: The trials that achieve the most effective control of HR are associated with a reduced incidence of postoperative MI, suggesting that effective control of HR is important for achieving cardioprotection. Second, this analysis demonstrates that administration of beta-blockers does not reliably decrease HRs in all patients, and may be associated with increased side effects. Judicious use of combination therapy with other drugs may be necessary to achieve effective postoperative control of HR.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.026 | 0.023 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".