Biomarkers and mortality in severe Chagas cardiomyopathy

Jacqueline E Sherbuk1, Emi E Okamoto2, Morgan A Marks3

  • 1Yale-New Haven Hospital, New Haven, CT, USA.

Global Heart
|September 27, 2015
PubMed

Insights

Biomarkers such as B-type natriuretic peptide (BNP), N-terminal pro-B-type natriuretic peptide (NT-proBNP), creatine kinase-myocardial band (CK-MB), and matrix metalloproteinase-2 (MMP-2) can predict mortality in severe Chagas cardiomyopathy. These markers offer valuable prognostic information for patients with this serious condition.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Biomarker Research

Background:

  • Chagas cardiomyopathy, a chronic consequence of Trypanosoma cruzi infection, presents a significant mortality risk in advanced stages.
  • While clinical factors aid in risk stratification, the relationship between specific biomarkers and survival in Chagas cardiomyopathy remains underexplored.

Purpose of the Study:

  • To identify biomarkers associated with mortality in patients diagnosed with severe Chagas cardiomyopathy.
  • To investigate the predictive value of cardiac biomarkers in an urban Bolivian hospital setting.

Main Methods:

  • Serum levels of various cardiac biomarkers including BNP, NT-proBNP, CK-MB, troponin I, MMP-2, MMP-9, TIMP-1, TIMP-2, TGF-beta 1, and TGF-beta 2 were measured.
  • Echocardiograms were performed for individuals with cardiac symptoms or ECG abnormalities.
  • Cox proportional hazards models were used to assess the association between biomarker levels and mortality over a 1-year follow-up period.

Main Results:

  • Higher baseline levels of BNP, NT-proBNP, CK-MB, and MMP-2 were significantly associated with increased mortality.
  • These associations remained significant even after accounting for factors like reduced ejection fraction and clinical signs of heart failure.

Conclusions:

  • Severe Chagas cardiomyopathy is linked to high short-term mortality.
  • BNP, NT-proBNP, CK-MB, and MMP-2 serve as valuable predictive biomarkers for mortality in this patient population.
  • These biomarkers enhance risk prediction beyond traditional clinical assessments.
Abstract

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