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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.
Background:
Evidence regarding biomarkers for risk prediction in patients with infective endocarditis (IE) is limited. We aimed to investigate the value of a panel of biomarkers for the prediction of in-hospital mortality in patients with IE.
Methods:
Between 2016 and 2018, consecutive IE patients admitted to the emergency department were prospectively included. Blood concentrations of nine biomarkers were measured at admission (D0) and on the seventh day (D7) of antibiotic therapy: C-reactive protein (CRP), sensitive troponin I (s-cTnI), procalcitonin, B-type natriuretic peptide (BNP), neutrophil gelatinase-associated lipocalin (NGAL), interleukin 6 (IL6), tumor necrosis factor α (TNF-α), proadrenomedullin, alpha-1-acid glycoprotein, and galectin 3. The primary endpoint was in-hospital mortality.
Results:
Among 97 patients, 56% underwent cardiac surgery, and in-hospital mortality was 27%. At admission, six biomarkers were independent predictors of in-hospital mortality: s-cTnI (OR 3.4; 95%CI 1.8-6.4; P<0.001), BNP (OR 2.7; 95%CI 1.4-5.1; P=0.002), IL-6 (OR 2.06; 95%CI 1.3-3.7; P=0.019), procalcitonin (OR 1.9; 95%CI 1.1-3.2; P=0.018), TNF-α (OR 1.8; 95%CI 1.1-2.9; P=0.019), and CRP (OR 1.8; 95%CI 1.0-3.3; P=0.037). At admission, S-cTnI provided the highest accuracy for predicting mortality (area under the ROC curve: s-cTnI 0.812, BNP 0.727, IL-6 0.734, procalcitonin 0.684, TNF-α 0.675, CRP 0.670). After 7 days of antibiotic therapy, BNP and inflammatory biomarkers improved their performance (s-cTnI 0.814, BNP 0.823, IL-6 0.695, procalcitonin 0.802, TNF-α 0.554, CRP 0.759).
Conclusion:
S-cTnI concentration measured at admission had the highest accuracy for mortality prediction in patients with IE.
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