Biomarkers for prediction of mortality in left-sided infective endocarditis. (July 2020)
- Record Type:
- Journal Article
- Title:
- Biomarkers for prediction of mortality in left-sided infective endocarditis. (July 2020)
- Main Title:
- Biomarkers for prediction of mortality in left-sided infective endocarditis
- Authors:
- Siciliano, Rinaldo F.
Gualandro, Danielle M.
Bittencourt, Marcio Sommer
Paixão, Milena
Marcondes-Braga, Fabiana
Soeiro, Alexandre de Matos
Strunz, Célia
Pacanaro, Ana Paula
Puelacher, Christian
Tarasoutchi, Flavio
Di Somma, Salvatore
Caramelli, Bruno
de Oliveira Junior, Mucio Tavares
Mansur, Alfredo Jose
Mueller, Christian
Barretto, Antonio Carlos Pereira
Strabelli, Tânia Mara Varejão - Abstract:
- Highlights: We explore cardiac/inflammatory biomarkers to predict in-hospital mortality in endocarditis. Troponin concentration measured at admission showed the highest accuracy for mortality prediction. Inflammatory biomarkers had better accuracy at the 7th day than at admission. Abstract: 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),Highlights: We explore cardiac/inflammatory biomarkers to predict in-hospital mortality in endocarditis. Troponin concentration measured at admission showed the highest accuracy for mortality prediction. Inflammatory biomarkers had better accuracy at the 7th day than at admission. Abstract: 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. … (more)
- Is Part Of:
- International journal of infectious diseases. Volume 96(2020)
- Journal:
- International journal of infectious diseases
- Issue:
- Volume 96(2020)
- Issue Display:
- Volume 96, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 96
- Issue:
- 2020
- Issue Sort Value:
- 2020-0096-2020-0000
- Page Start:
- 25
- Page End:
- 30
- Publication Date:
- 2020-07
- Subjects:
- Infective endocarditis -- Biomarkers -- Prognosis -- Mortality
Communicable diseases -- Periodicals
Communicable Diseases -- Periodicals
Communicable diseases
Periodicals
Electronic journals
616.9 - Journal URLs:
- http://bibpurl.oclc.org/web/73769 ↗
http://www.journals.elsevier.com/international-journal-of-infectious-diseases/ ↗
http://www.sciencedirect.com/science/journal/12019712 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/12019712 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/12019712 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijid.2020.03.009 ↗
- Languages:
- English
- ISSNs:
- 1201-9712
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.304750
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