Biomarkers for prediction of mortality in left-sided infective endocarditis

Rinaldo F Siciliano1, Danielle M Gualandro2, Marcio Sommer Bittencourt3

  • 1Heart Institute (InCor), University of São Paulo Medical School, Brazil; GREAT (Global Research on Acute Conditions Team) Network.

Insights

Sensitive troponin I (s-cTnI) at admission best predicts in-hospital mortality in infective endocarditis (IE) patients. Other biomarkers like BNP also show predictive value, especially after treatment.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Biomarker Research

Background:

  • Limited evidence exists for reliable biomarkers to predict risk in infective endocarditis (IE) patients.
  • Infective endocarditis poses significant mortality risks, necessitating improved predictive tools.

Purpose of the Study:

  • To investigate the predictive value of a panel of biomarkers for in-hospital mortality in IE patients.
  • To identify key biomarkers that can accurately assess mortality risk upon admission and during antibiotic therapy.

Main Methods:

  • Prospective study of 97 consecutive IE patients from 2016-2018.
  • Measurement of nine biomarkers (including s-cTnI, BNP, CRP, procalcitonin, IL-6, TNF-α) at admission (D0) and day 7 (D7).
  • Primary endpoint: in-hospital mortality.

Main Results:

  • In-hospital mortality was 27%.
  • At admission, s-cTnI, BNP, IL-6, procalcitonin, TNF-α, and CRP independently predicted mortality.
  • s-cTnI demonstrated the highest accuracy (AUC 0.812) for predicting mortality at admission.
  • After 7 days of therapy, BNP and inflammatory markers showed improved predictive performance.

Conclusions:

  • Sensitive troponin I (s-cTnI) measured at admission is a highly accurate predictor of in-hospital mortality in IE patients.
  • Biomarker levels, particularly s-cTnI and BNP, provide valuable prognostic information throughout IE management.
Abstract

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