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Biomarkers and mortality in severe Chagas cardiomyopathy.

AbstractBACKGROUND:
Chagas cardiomyopathy is a chronic sequela of infection by the parasite, Trypanosoma cruzi. Advanced cardiomyopathy is associated with a high mortality rate, and clinical characteristics have been used to predict mortality risk. Though multiple biomarkers have been associated with Chagas cardiomyopathy, it is unknown how these are related to survival.
OBJECTIVES:
This study aimed to identify biomarkers associated with mortality in individuals with severe Chagas cardiomyopathy in an urban Bolivian hospital.
METHODS:
The population included individuals with and without T. cruzi infection recruited in an urban hospital in Santa Cruz, Bolivia. Baseline characteristics, electrocardiogram findings, medications, and serum cardiac biomarker levels (B-type natriuretic peptide [BNP], N-terminal pro-B-type natriuretic peptide [NT-proBNP], creatine kinase-myocardial band [CK-MB], troponin I, matrix metalloproteinase [MMP]-2, MMP-9, tissue inhibitor of metalloproteinases [TIMP] 1 and 2, transforming growth factor [TGF] beta 1 and 2) were ascertained. Echocardiograms were performed on those with cardiac symptoms or electrocardiogram abnormalities at baseline. Participants were contacted approximately 1 year after initial evaluation; deaths were reported by family members. Receiver-operating characteristic curves (ROC) were used to optimize cutoff values for each marker. For markers with area under the curve (AUC) >0.55, Cox proportional hazards models were performed to determine the hazards ratio (HR) and 95% confidence interval (CI) for the association of each marker with mortality.
RESULTS:
The median follow-up time was 14.1 months (interquartile range 12.5, 16.7). Of 254 individuals with complete cardiac data, 220 (87%) had follow-up data. Of 50 patients with severe Chagas cardiomyopathy at baseline, 20 (40%) had died. Higher baseline levels of BNP (HR: 3.1, 95% CI: 1.2 to 8.4), NT-proBNP (HR: 4.4, 95% CI: 1.8 to 11.0), CK-MB (HR: 3.3, 95% CI: 1.3 to 8.0), and MMP-2 (HR: 4.2, 95% CI: 1.5 to 11.8) were significantly associated with subsequent mortality.
CONCLUSIONS:
Severe Chagas cardiomyopathy is associated with high short-term mortality. BNP, NT-proBNP, CK-MB, and MMP-2 have added predictive value for mortality, even in the presence of decreased ejection fraction and other clinical signs of congestive heart failure.
AuthorsJacqueline E Sherbuk, Emi E Okamoto, Morgan A Marks, Enzo Fortuny, Eva H Clark, Gerson Galdos-Cardenas, Angel Vasquez-Villar, Antonio B Fernandez, Thomas C Crawford, Rose Q Do, Jorge Luis Flores-Franco, Rony Colanzi, Robert H Gilman, Caryn Bern
JournalGlobal heart (Glob Heart) Vol. 10 Issue 3 Pg. 173-80 (Sep 2015) ISSN: 2211-8179 [Electronic] England
PMID26407513 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
CopyrightCopyright © 2015 World Heart Federation (Geneva). All rights reserved.
Chemical References
  • Biomarkers
  • Peptide Fragments
  • TGFB1 protein, human
  • TGFB2 protein, human
  • TIMP1 protein, human
  • TIMP2 protein, human
  • Tissue Inhibitor of Metalloproteinase-1
  • Transforming Growth Factor beta1
  • Transforming Growth Factor beta2
  • Troponin I
  • pro-brain natriuretic peptide (1-76)
  • Natriuretic Peptide, Brain
  • Tissue Inhibitor of Metalloproteinase-2
  • Creatine Kinase, MB Form
  • MMP2 protein, human
  • Matrix Metalloproteinase 2
  • MMP9 protein, human
  • Matrix Metalloproteinase 9
Topics
  • Adult
  • Aged
  • Biomarkers (metabolism)
  • Body Mass Index
  • Bolivia (epidemiology)
  • Chagas Cardiomyopathy (metabolism, mortality)
  • Cohort Studies
  • Creatine Kinase, MB Form (metabolism)
  • Cross-Sectional Studies
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Matrix Metalloproteinase 2 (metabolism)
  • Matrix Metalloproteinase 9 (metabolism)
  • Middle Aged
  • Natriuretic Peptide, Brain (metabolism)
  • Obesity (epidemiology)
  • Overweight (epidemiology)
  • Peptide Fragments (metabolism)
  • Prognosis
  • Proportional Hazards Models
  • Protective Factors
  • Severity of Illness Index
  • Tissue Inhibitor of Metalloproteinase-1 (metabolism)
  • Tissue Inhibitor of Metalloproteinase-2 (metabolism)
  • Transforming Growth Factor beta1 (metabolism)
  • Transforming Growth Factor beta2 (metabolism)
  • Troponin I

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