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JAMA Network Open · IF 10.5 · July 27, 2026 · LoE I

Restrictive vs Liberal Transfusion Strategy After Myocardial Infarction

M Bertolet, François Martin Carrier, Glynn, Simone, 1960-, J. Dawn Abbott, Andrew P. DeFilippis, Tabassome Simon, C B Fordyce, Senaratne Jw, Brian J. Potter, Brandon M. Herbert, Sunil V. Rao, Adriano Caixeta — University of Pittsburgh

RCTGeneral🇨🇦 Canadian authorsn = 3,504
HEAT
31

This is a post hoc Bayesian reanalysis of the MINT trial, which randomized 3504 patients with myocardial infarction and anemia to a restrictive (transfuse below Hgb 7-8 g/dL) versus liberal (keep Hgb above 10 g/dL) transfusion strategy. The original frequentist result for 30-day death or MI was borderline (crude risk ratio 1.16, 95% CI 1.00-1.35, with 16.9% events in the restrictive arm vs 14.5% in the liberal arm), so the authors reanalyzed the same data using Bayesian methods and found an 89.1% to 98.8% posterior probability that the liberal strategy reduced death or MI, at the cost of a modestly higher (60.6%-80.0% probability) risk of heart failure.

AI summary · from the full text · reviewed by Pukhraj Gaheer, Medical Student, Queen's University before publishing

Why it mattersAnemic MI patients are common in both cardiology and perioperative orthopedic settings, and this reanalysis illustrates how a 'negative' P=.07 trial can be reframed as supportive evidence using Bayesian statistics, a distinction trainees should recognize when reading transfusion literature.

Conclusion strengthConfirms prior evidence

Rigor
40
Impact
45

The conclusions are not supported by the reported results.

Presenting this at rounds? Start here

  • ?For an anemic patient with a recent MI who needs orthopedic surgery, should the perioperative transfusion threshold be raised toward 10 g/dL despite the small added heart failure risk this analysis suggests?
  • ?How should surgeons weigh a borderline (P=.07) frequentist trial result against a Bayesian reanalysis suggesting high probability of benefit when deciding transfusion thresholds for their own anemic surgical patients?
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The summary on this page is AI-generated from the paper and reviewed by Pukhraj Gaheer, Medical Student, Queen's University before publishing. It is not medical advice, and it is not the paper — always read the original before citing it. How this site works.