Inflammatory Profile and Risk of Post-Intervention Infection in Relation to Myocardial Necrosis Markers

Alexandra Manuela Buzle1, Larisa Renata Pantea-Roșan1, Mădălina Ioana Moisi2

  • 1Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.

PubMed

Insights

High-sensitivity cardiac troponin (hs-cTn) levels measured 48 hours after percutaneous coronary intervention (PCI) did not predict in-hospital infection in acute coronary syndrome (ACS) patients. These findings suggest hs-cTn is a marker of myocardial injury, not infection risk post-PCI.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Biomarker Research

Background:

  • Post-procedural infection is a significant complication following percutaneous coronary intervention (PCI) in acute coronary syndrome (ACS) patients.
  • High-sensitivity cardiac troponin (hs-cTn) is a key biomarker for myocardial injury, but its role in predicting infection risk after PCI is unclear.

Purpose of the Study:

  • To investigate the association between hs-cTn levels and the risk of in-hospital infection after PCI in ACS patients.
  • To explore the relationship between hs-cTn and systemic inflammatory markers.

Main Methods:

  • An exploratory pilot study involving 181 ACS patients undergoing PCI.
  • Measurement of hs-cTn at 24 and 48 hours post-PCI.
  • Assessment of in-hospital infection and correlation analysis with inflammatory markers (CRP, ESR, leukocytes) and NT-proBNP.

Main Results:

  • In-hospital infections occurred in 5.0% of patients.
  • hs-cTn measured at 48 hours (hs-cTn48h) demonstrated poor discrimination for infection (AUC = 0.49).
  • hs-cTn48h showed weak, non-significant correlations with inflammatory markers but a modest correlation with NT-proBNP.

Conclusions:

  • hs-cTn48h levels are not predictive of in-hospital infection following PCI in ACS patients.
  • These results emphasize that troponin primarily indicates myocardial necrosis, not infectious risk.
  • Larger multicenter studies with microbiological confirmation are needed to further investigate infection prediction biomarkers.

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