MINT – Restrictive or Liberal Transfusion Strategy in Myocardial Infarction

Restrictive or Liberal Transfusion Strategy in Myocardial Infarction and Anemia

Carson et al. NEJM 2023 DOI: 10.1056/NEJMoa2307983  

Clinical Question

  • In patients with myocardial infarction and anaemia, does a restrictive or liberal transfusion strategy decrease myocardial ischaemia or death at 30 days? 
  • Myocardial Ischemia and Transfusion (MINT) Trial 

Background

  • Anaemia is common in patients with acute myocardial infarction and may exacerbate ischaemic injury to vulnerable myocardium due to decreased oxygen carriage in blood 
  • The optimum haemoglobin target in this population is unknown and needs to balance this risk of worsening ischaemia vs risks of blood transfusion especially transfusion associated circulatory overload (TACO) 
  • Three previous randomised controlled trials (REALITY, CRIT, Carson et al.) (total n=820) have compared transfusion thresholds in patients with myocardial infarction with inconsistent results  
  • There exists a large body of well conducted randomised controlled trials generally supporting the safety of a restrictive transfusion strategy in critically ill adults including:
    • TRICC (NEJM 1999) n=838 all-comers in ICU excluding cardiac surgery 
      • Restrictive transfusion aiming Hb >70g/L vs liberal transfusion aiming Hb > 90 g/L 
      • In-hospital mortality was significantly lower in the restrictive-strategy group (22.2% vs 28.1%, p=0.05) 
    • TRICS III (NEJM 2017) n=5243 patients post cardiac surgery
      • Restrictive transfusion aiming Hb >75g/L vs liberal transfusion aiming Hb > 85-95 g/L 
      • Restrictive strategy was non-inferior; primary outcomes (death, myocardial infarct, new onset dialysis requiring renal failure) occured in 11.4% in the restrictive group vs to 12.5% in liberal group (absolute risk difference = -1.11%; 95% CI, -2.93 to 0.72, OR 0.90; 95% CI -2.93 to 0.72)
    • TRACS (JAMA 2010) n=502 patients post cardiac surgery 
      • Restrictive transfusion (aiming hematocrit  ≥24%) vs liberal transfusion (aiming hematocrit ≥30%) 
      • Restrictive strategy was non-inferior for mortality or severe morbidity at 30 days -10% liberal vs 11% restrictive; between-group difference, 1% [95% CI, −6% to 4%]; P = .85) 
      • Number of units tranfused was an independent predictor of mortality regardless of transfusion strategy  
    • TRISS (NEJM 2014) n=998 patients with septic shock 
      • Restrictive transfusion aiming Hb >70g/L vs liberal transfusion aiming Hb > 90 g/L 
      • No mortality difference between strategies (43% restrictive vs 45% liberal, RR 0.94 CI 0.78-1.09 p=0.44) 
  • However three recently published trials in the field of neurocritical care have demonstrated a signal towards benefit from a liberal transfusion strategy although not meeting statistical significance for their primary outcomes 
    • HEMOTION – TBI 
    • TRAIN – mixed TBI, SAH, ICH  
    • SAHaRA – SAH  

Design

  • Open label multi-centre randomised control trial 
  • 1:1 randomisation to restrictive or liberal transfusion strategy by web-based system 
  • Permuted block design with random block sizes of 4-6 stratified by clinical site 
  • Pre-specified subgroups 
    • Type of MI – Type 1 or 2 
    • Revascularisation for index MI 
    • Heart failure 
    • Pre-randomisation haemoglobin 
    • Acute vs chronic anaemia 
    • Renal function  
    • Diabetes 
    • Age <60, 60-69, 70-79 or >80 
    • Race 

Setting

  • 144 sites across USA, Canada, France, Brazil, New Zealand and Australia  
  • Recruitment occurred from April 2017 – April 2023 

Population

  • Inclusion 
    • 18 years of age or older 
    • STEMI or NSTEMI during index hospitalisation 
      • Defined as ≥ 1 troponin above upper limit of normal AND one of 
        • Symptoms of ischaemia 
        • New ST or T wave changes or left bundle branch block 
        • New pathologic Q waves 
        • Imaging evidence of loss of viable myocardium or regional wall motion abnormality 
        • Angiographically proven thrombus 
      • Definition includes 
        • Type 1 MI – spontaneous related to coronary arterial disease 
        • Type 2 MI – secondary ischaemic imbalance 
        • Type 4b MI – stent thrombosis at angiography 
        • Type 4c MI – severe in-stent restenosis without thrombosis  
        • Haemoglobin concentration <100g/L at time of random allocation  
  • Exclusion 
    • Uncontrolled acute bleeding requiring uncrossed or non-type specific blood 
    • Declined blood transfusion 
    • Scheduled for cardiac surgery during the current admission 
    • Receiving only palliative treatment 
    • Follow up at 30-days known to be impossible 
    • Previously enrolled in MINT 
    • Enrolled in a competing clinical study  
  • Sample size 
    • Planned enrollment of 3500 patients to provide 80% power to detect a 20% relative reduction in primary outcome of death assuming an event rate of 16.4%  
      • 3506 patients enrolled – 2 did not approve of use of their data leaving 3504 in the primary analysis  
    • Comparing baseline characteristics of restrictive vs liberal strategy 
      • Mean age 72 vs 72 years old  
      • 44% female vs 47% 
      • Approximately 1/3 of patients in both arms received PRBC prior to randomisation 34.2% in restrictive group vs 36.4% in liberal
      • Well matched for type of MI, interventions received, presence of heart failure  
      • Of note a majority (55.8%) of patients had Type 2 MI (demand ischaemia). 41.7% had Type 1 MI  

Intervention

  • Restrictive group 
    • Transfusion permitted but not required when haemoglobin was <80g/L 
    • Transfusion strongly recommended when Hb <70g/L or anginal symptoms were not controlled with medication 
    • Mean Hb at day 3 was 8.9
    • Discontinuation of the protocol occurred in 2.6%

Control

  • Liberal group 
    • 1 unit of packed red cells administered after randomisation then as needed when Hb <100g/L until hospital discharge or 30 days 
    • Mean Hb at day 3 was 10.5
    • Discontinuation of the protocol occurred in 13.7%

Management common to both groups

  • Transfusion administered one unit at a time followed by repeat Hb measurement 
  • Protocol paused at clinician discretion if active bleeding requiring transfusion occurred 
  • Transfusion could be delayed in patients with volume overload until adequate diuresis or until day of dialysis 

Outcome

  • Total number of red cell units transfused 3.5x higher in liberal group 
    • Mean (+/- SD) units per patient 0.7 +/- 1.6 in restrictive group vs 2.5 +/-2.3 in liberal group  
  • Primary outcome: myocardial infarction OR death from any cause at 30 days  
    • Occurred in 16.9% in restrictive group vs 14.5% in liberal group 
    • Crude risk ratio 1.16, (95% confidence interval [CI] 1.00-1.35) 
    • Risk ratio modelled with multiple imputation for incomplete follow-up, 1.15; 95% CI 0.99 to 1.34; P = 0.07 
  • Secondary outcomes: Comparing restrictive vs liberal group  
    • Significant difference favouring liberal group 
      • Cardiac death – 5.5% vs 3.2% (RR 1.74; CI 1.26-2.40) 
    • No significant difference but numerically favouring liberal transfusion threshold  
      • Death – 9.9% vs 8.3% (RR 1.19; CI 0.96-1.47) 
      • Myocardial infarction 8.5% vs 7.2% (RR 1.19; CI 0.94-1.49) 
      • Unscheduled revascularisation 2.5% vs 2.2% (RR 1.11; CI 0.72-1.70) 
      • Stroke – 1.7% vs 1.5% (RR 1.16; CI 0.69-1.95) 
      • Pneumonia or bacteraeamia 9.5% vs 8.7% (RR 1.09; CI 0.88-1.34) 
    • No significant difference but numerically favouring restrictive transfusion threshold 
      • Heart failure 5.8% vs 6.3% (RR 0.92; CI 0.71-1.20) 
      • PE or DVT 1.5% vs 1.9% (RR 0.77; CI 0.46-1.27)
  • Subgroup analysis for primary outcome (all subgroups pre-specified) 
    • Significant difference in primary outcome favouring liberal group for patients with  
      • Type 1 MI –18.2% vs 13.8% (RR 1.32; CI 1.04-1.67) 
      • Congestive heart failure, acute heart failure or low LVEF 19.6% vs 15.7% (RR 1.25; CI 1.02-1.52) 
    • No statistically significant difference between liberal and restrictive strategy for all other subgroups 
    • All other subgroups numerically favoured liberal transfusion strategy except 
      • Renal dialysis at baseline 
      • Hb <80g/L on randomisation 
  • Editorial correspondence by other authors (not part of the prespecified statistical plan) demonstrate  
    • Negative fragility index of 2 – ie if 2 additional patients in the liberal group had not had a primary outcome event the headline result would have been statistically significant 
    • Bayesian reanalysis suggests 90.8-99.8% chance of harm with restrictive strategy depending on certainty of priors adopted  

Authors’ Conclusions

  • In patients with acute myocardial infarction and anaemia a liberal transfusion strategy did not significantly reduce the risk of recurrent MI or death at 30 days. Trial endpoints suggest some benefit of a liberal strategy over a restrictive strategy , but additional studies would be needed to confirm this 

Strengths

  • Pragmatically conducted large multi-center randomised controlled trial  
  • 4x larger sample size than all previous trials related to this question combined  
  • Broad inclusion criteria captured a heterogenous population of patients with myocardial infarction improves external validity 
  • Separation between groups in mean Hb and number of units transfused improves internal validity and decreases risk of type 2 error 
  • Trial transfusion protocols reflect real world practice and were pragmatic eg adjusted protocols for volume overloaded and dialysed patients 
  • Excellent follow up (98.3% of patients at 30 days) 
  • Blinded central adjudication of outcomes  

Weaknesses

  • Unblinded intervention  
  • Only primary outcome of myocardial infarction was centrally adjudicated  
  • Adherence to liberal transfusion strategy 86.3% at hospital discharge, largely due to clinician discretion which may increase type 2 error 
  • No data provided with regards to number of patients screened but not enrolled in the trial  
  • No statistical adjustments for multiplicity of outcomes  
  • Benefits seen in subgroups are counterintuitive and the mechanism for these benefits are no clear  
    • One might expect patients with Type 1 MI and true coronary occlusion to benefit less from a higher Hb target than those with demand ischaemia (Type 2) however in MINT patients with Type 1 MI benefitted more 
    • Despite patients in the liberal group having a non-statistically significantly increased risk of heart failure, patients with heart failure infact had a lower rate of death or repeat MI with a liberal strategy than those without 

The Bottom Line

  • Although the threshold for statistical significance was not met for the primary outcome, from the MINT trial suggests that patients with anaemia following a myocardial infarction may benefit from a higher haemoglobin target of 100g/L and are unlikely to experience harm from a liberal transfusion strategy 
  • Based on these data I will adopt a Hb target of 100g/L for patients with anaemia following myocardial infarction, especially those with Type 1 MI, although the decision to transfuse should remain individualised considering the patient’s clinical context, risk factors for complications, available resources and degree of compensation

External Links

 

Metadata

Summary author: Daniel Chung
Summary date: 08/05/2025
Peer-review editor: Aidan Burrell and David Slessor

Picture by: icon0 com/pexels

 

2 comments

  • Ryan Lett

    I wonder about contamination bias in this study as well. An editorial titled, “The Reality of Mint” (Transfusion. 2025;65:379–384) went into more detail, but essentially 1/3 of patients in both groups were exposed to transfusion prior to randomization.

    • Daniel Chung

      A very valid point Ryan, especially when combined with only 86% adherence to the liberal strategy. I’ve updated the review to include that.

      That said, one could reason that effect of the contamination would be decreasing the difference between the groups and increasing Type 2 error. Perhaps the observed outcome differences would have been even more marked otherwise?

Leave a Reply to Daniel Chung Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.