Use of Bayesian Statistics to Reanalyze Data From the Pragmatic Randomized Optimal Platelet and Plasma Ratios Trial
Authors' conclusion
In this quality improvement study, a post hoc bayesian analysis of the PROPPR Trial found evidence in support of mortality reduction with a balanced resuscitation strategy for patients in hemorrhagic shock.
Study context
- Population
- Severely injured trauma patients anticipated to require large volume transfusions, 12 US level I trauma centers, 2012–201312 US level I trauma centers
- Participants
- 680 participants
- Comparison
- Balanced transfusion vs RBC-heavy strategy
- Primary endpoint
- 24-hour and 30-day all-cause mortality (posterior probabilities of superiority)
- Follow-up
- 24 hours and 30 days
Methodological detailsquality improvement study, multiple hierarchical models, multicentre
- Quality improvement study
- Multiple hierarchical models
- Multicentre
Primary result
As reported in the abstract
Mortality, bayesian analysis
1:1:1 vs 1:1:2Relative risk (95% CrI)
24-hour mortality; 95% CrI; Bayes factor 13.7; 93% probability of superiority
0.75(0.45–1.11)
30-day mortality; 95% CrI; Bayes factor 6.56; 87% probability of superiority
0.82(0.57–1.16)
Further findings
24-h mortality, original frequentist analysis
- Adjusted RR
- 0.75 (95% CI, 0.52-1.08); P = .12
- No significant difference in mortality between the groups (12.7% vs 17.0%)
30-day mortality, original frequentist analysis
- Adjusted RR
- 0.86 (95% CI, 0.65-1.12); P = .26
- No significant difference in mortality between the groups (22.4% vs 26.1%)
Original publication
Use of Bayesian Statistics to Reanalyze Data From the Pragmatic Randomized Optimal Platelet and Plasma Ratios Trial. JAMA Netw Open. Published 1 February 2023. doi:10.
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