An EACTS expert consensus review found that postoperative troponin thresholds linked to increased mortality are markedly higher than current definitions, proposing a new algorithm for PMI detection.
This EACTS consensus statement proposes a new algorithm for PMI detection after cardiac surgery, highlighting that prognostically relevant troponin thresholds are much higher than current definitions.
Cardiac surgery may lead to myocardial damage and release of cardiac biomarkers through various mechanisms such as cardiac manipulation, systemic inflammation, myocardial hypoxia, cardioplegic arrest and ischaemia caused by coronary or graft occlusion. Defining perioperative myocardial infarction (PMI) after cardiac surgery presents challenges, and the association between the current PMI definitions and postoperative outcomes remains uncertain. To address these challenges, the European Association of Cardio-Thoracic Surgery (EACTS) facilitated collaboration among a multidisciplinary group to evaluate the existing evidence on the mechanisms, diagnosis and prognostic implications of PMI after cardiac surgery. The review found that the postoperative troponin value thresholds associated with an increased risk of mortality are markedly higher than those proposed by all the current definitions of PMI. Additionally, it was found that large postoperative increases in cardiac biomarkers are prognostically relevant even in absence of additional supportive signs of ischaemia. A new algorithm for PMI detection after cardiac surgery was also proposed, and a consensus was reached within the group that establishing a prognostically relevant definition of PMI is critically needed in the cardiovascular field and that PMI should be included in the primary composite outcome of coronary intervention trials.
Gaudino et al. (Thu,) conducted a review in Perioperative myocardial infarction after cardiac surgery. New algorithm for PMI detection was evaluated. An EACTS expert consensus review found that postoperative troponin thresholds linked to increased mortality are markedly higher than current definitions, proposing a new algorithm for PMI detection.