Vol 23, No 1 (2016)
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Published online: 2015-09-23

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High-sensitivity troponin is associated with high risk clinical profile and outcome in acute heart failure

Mirta Diez, María Luján Talavera, Diego Gabriel Conde, Roberto Campos, Adriana Acosta, Marcelo Sergio Trivi
DOI: 10.5603/CJ.a2015.0058
Pubmed: 26412605
Cardiol J 2016;23(1):78-83.


Background: The aim of the study was to evaluate the value of high-sensitivity cardiac troponin (hs-cTn) for identifying high-risk patients.

Methods and results: One hundred and eighty-seven patients admitted with acute heart failure (HF) (without myocardial infarction) were consecutively included; hs-cTn was measured at admission; the relation between elevated hs-cTn and the clinical outcome during hospitalization and at 90 days was analyzed; 93% (n = 174) had hs-cTn above the maximal normal value (14 ng/L); median hs-cTn was 42 ng/L (IQR 24–81). Patients with ejection fraction (EF) ≤ 45% had higher hs-cTn values (p = 0.0004). Patients with low cardiac output syndrome (LCOS) or shock had higher troponin levels compared with those with less severe clinical presentations (p = 0.004). Patients who required inotropic presented higher troponin values (p = 0.002), troponin values were also higher in those requiring complex therapies (intra-aortic balloon pump, mechanical ventilation or hemodialysis, p = 0.002). At 90-day follow-up, 28 (15.5%) patients died and 27 rehospitalizations occurred (55 events). The risk of events was greater in patients with hs-cTn > 42 ng/L (0.021), low blood pressure at admission (p = 0.002), LCOS or shock (p < 0.0001), EF ≤ 45% (p = 0.005) and inotropic use (p < 0.0001). In multivariate analysis, only inotropic agents requirements was associated independently with a high risk of death or rehospitalizations at 90 days (p = 0.007).

Conclusions: Elevation of hs-cTn is a finding almost constant in patients with decompensated HF. In subjects with higher troponin levels ventricular dysfunction is frequent. The use of hs-cTn for risk stratification at admission helps to identify populations with poor outcome during hospitalization and increased risk of death or rehospitalizations during follow-up who will require rapid implementation of aggressive treatment.  

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