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A Bayesian re-analysis of the STRESS trial
Kevin D Hill1, Jake Koerner2, Hwanhee Hong2
1Duke University Pediatric and Congenital Heart Center, Durham, NC; Duke Clinical Research Institute, Durham, NC.
Bayesian analysis of the STRESS trial suggests prophylactic methylprednisolone significantly reduces adverse outcomes in infants undergoing heart surgery. This re-analysis indicates a high probability of benefit, expanding on initial findings.
Area of Science:
- Cardiovascular Surgery
- Pediatric Cardiology
- Pharmacology
Background:
- Prophylactic steroids are commonly used to mitigate systemic inflammatory responses during infant heart surgery involving cardiopulmonary bypass.
- The original STRESS trial found no significant difference in outcomes between methylprednisolone and placebo, though secondary analyses suggested potential benefits.
- Bayesian analytics were employed to re-evaluate the STRESS trial data for a more nuanced understanding of methylprednisolone's effects.
Purpose of the Study:
- To re-analyze the STRESS trial data using Bayesian methods to assess the probability of benefit from methylprednisolone.
- To investigate potential benefits of methylprednisolone beyond the primary endpoint of the original STRESS trial.
- To explore the impact of varying prior beliefs on the probability of methylprednisolone efficacy.
Main Methods:
- A covariate-adjusted proportional odds model was used with the STRESS trial's composite endpoint (death, transplant, major complication, length of stay).
- Markov Chain Monte Carlo simulations were performed to determine the probability of benefit (OR < 1) versus harm (OR > 1).
- Sensitivity analyses explored various prior beliefs (pessimistic, neutral, optimistic) and prior strengths, alongside a secondary analysis using priors from previous steroid trials.
Main Results:
- The posterior probability of benefit from methylprednisolone was 92%, with an 8% probability of harm.
- Methylprednisolone was associated with an absolute risk difference of -2% for composite death or major complication.
- Nine sensitivity analyses consistently showed a higher probability of benefit than harm, with 8 demonstrating >80% probability of benefit and ≥1% absolute risk reduction.
Conclusions:
- Bayesian re-analysis indicates a high probability that perioperative methylprednisolone reduces the risk of death or major complications in infants undergoing cardiopulmonary bypass.
- This in-depth analysis provides stronger evidence for methylprednisolone's efficacy compared to the initial STRESS trial findings.
- The findings support the use of methylprednisolone as a prophylactic measure in this patient population.
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