In the past few years, many have disputed the optimal biomarker for confirming or ruling out a diagnosis of periprocedural myocardial infarction (PMI) and the optimal cut-off concentrations to apply. In this issue of the Journal of Cardiac Surgery, Niclauss et al. performed a retrospective analysis of CK-MB and high-sensitivity cardiac troponin T (hs-cTnT) dynamics and peak concentrations following different cardiac surgical interventions in 400 patients during a 2-year period in a single center. The authors found that CK-MB and hs-cTnT predict PMI with a comparable diagnostic accuracy and discriminatory power >95%. They also attempted to propose an improved, more sensitive threshold of hs-cTnT for PMI. Their findings could have implications for clinical practice, but more research is warranted to identify more appropriate cut-offs. This could include hs-cTnT release pattern, slope steepness, and changes. Ultimately, this could results in patient-specific model, able to predict expected and abnormal ranges of hs-cTnT release, enabling an improved and timely diagnosis of PMI.
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Royal Infirm Edinburgh NHS Trust, Emergency Med Res Grp Edinburgh, Edinburgh, Midlothian, ScotlandUniv Edinburgh, BHF Ctr Cardiovasc Sci, Edinburgh, Midlothian, Scotland
Gray, Alasdair
Collinson, Paul O.
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St Georges Univ Hosp NHS Trust, Dept Clin Blood Sci, London, England
St Georges Univ Hosp NHS Trust, Dept Cardiol, London, England
St Georges Univ London, London, EnglandUniv Edinburgh, BHF Ctr Cardiovasc Sci, Edinburgh, Midlothian, Scotland
Collinson, Paul O.
Apple, Fred
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Hennepin Cty Med Ctr, Hennepin Healthcare, Dept Lab Med & Pathol, Minneapolis, MN 55415 USA
Univ Minnesota, Minneapolis, MN USAUniv Edinburgh, BHF Ctr Cardiovasc Sci, Edinburgh, Midlothian, Scotland