Acute Heart Failure Registry: Risk Assessment Model in Decompensated Heart Failure

• Main Authors: Anne Delgado, Bruno Rodrigues, Sara Nunes, Rui Baptista, Bruno Marmelo, Davide Moreira, Pedro Gama, Luís Nunes, Oliveira Santos, Costa Cabral
• Format: Article
• Language: English
• Published: Sociedade Brasileira de Cardiologia (SBC)
• Series: Arquivos Brasileiros de Cardiologia
• Subjects: Insuficiência Cardíaca/complicações; Prognóstico; Síndrome Coronariana Aguda; Biomarcadores; Ecocardiografia Doppler
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2016004500557&lng=en&tlng=en

Abstract Background: Heart failure (HF) is a highly prevalent syndrome. Although the long-term prognostic factors have been identified in chronic HF, this information is scarcer with respect to patients with acute HF. despite available data in the literature on long-term prognostic factors in chronic HF, data on acute HF patients are more scarce. Objectives: To develop a predictor of unfavorable prognostic events in patients hospitalized for acute HF syndromes, and to characterize a group at higher risk regarding their clinical characteristics, treatment and outcomes. Methods: cohort study of 600 patients admitted for acute HF, defined according to the European Society of Cardiology criteria. Primary endpoint for score derivation was defined as all-cause mortality and / or rehospitalization for HF at 12 months. For score validation, the following endpoints were used: all-cause mortality and / or readmission for HF at 6, 12 and 24 months. The exclusion criteria were: high output HF; patients with acute myocardial infraction, acute myocarditis, infectious endocarditis, pulmonary infection, pulmonary artery hypertension and severe mitral stenosis. Results: 505 patients were included, and prognostic predicting factors at 12 months were identified. One or two points were assigned according to the odds ratio (OR) obtained (p < 0.05). After the total score value was determined, a 4-point cut-off was determined for each ROC curve at 12 months. Two groups were formed according to the number of points, group A < 4 points, and group B = 4 points. Group B was composed of older patients, with higher number of comorbidities and predictors of the combined endpoint at 6, 12 and 24 months, as linearly represented in the survival curves (Log rank). Conclusions: This risk score enabled the identification of a group with worse prognosis at 12 months.