IntroductionChagas disease remains a major cause of mortality in several countries of
Latin America and has become a potential public health problem in
non-endemic countries as a result of migration flows. Cardiac involvement
represents the main cause of mortality, but its diagnosis is still based on
nonspecific criteria with poor sensitivity. Early identification of patients
with cardiac involvement is desirable, since early treatment may improve
prognosis. This study aimed to assess the role of diastolic dysfunction,
abnormal myocardial strain and elevated brain natriuretic peptide (BNP) in
the early identification of cardiac involvement in Chagas disease.Methodology/Principal FindingsFifty-four patients divided into 3 groups—group 1 (undetermined
form: positive serology without ECG or 2D-echocardiographic abnormalities;
N = 32), group 2 (typical ECG abnormalities
of Chagas disease but normal 2D-echocardiography;
N = 14), and group 3 (regional wall motion
abnormalities, left ventricular [LV] end-diastolic
diameter >55 mm or LV ejection fraction <50% on
echocardiography; N = 8)—and 44
control subjects were studied. Patients with significant non-cardiac
diseases, other heart diseases and previous treatment with benznidazol were
excluded. The median age was 37 (20–58) years; 40% were
men. BNP levels, longitudinal and radial myocardial strain and LV diastolic
dysfunction increased progressively from group 1 to 3 (p for trend
<0.01). Abnormal BNP levels (>37 pg/ml) were noted in
0%, 13%, 29% and 63% in controls
and groups 1 to 3, respectively. Half of patients in the undetermined form
had impaired relaxation patterns, whereas half of patients with ECG
abnormalities suggestive of Chagas cardiomyopathy had normal diastolic
function. In group 1, BNP levels were statistically higher in patients with
diastolic dysfunction as compared to those with normal diastolic function
(27±26 vs. 11±8 pg/ml,
p = 0.03).Conclusion/SignificanceIn conclusion, the combination of diastolic function and BNP measurement adds
important information that could help to better stratify patients with
Chagas disease.