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Arquivos Brasileiros de Cardiologia 2007-Jun

Evaluation of heart failure prognostic factors in patients referred for heart transplantation.

Само регистровани корисници могу преводити чланке
Пријави се / Пријави се
Веза се чува у привремену меморију
Cleópatra Medina Noronha Areosa
Dirceu Rodrigues Almeida
Antônio Carlos C de Carvalho
Angelo A V de Paola

Кључне речи

Апстрактан

OBJECTIVE

To evaluate the survival of patients with heart failure submitted to cardiac transplantation screening as well as identify poor prognostic factors using a risk score to identify patients with higher death risk.

METHODS

330 male and female patients aged 12 to 74 years old, referred for heart transplantation from January 1986 to November 2001 were evaluated. Clinical, laboratory, electrocardiographic, Holter monitoring, echocardiographic and radionuclide ventriculography data were analyzed.

RESULTS

The median follow up period was 5 years; patients' survival rate was 84.5% in the first year, 74.3% in the second year, 68.9% in the third year and 60.5% in the fifth year. The prognostic variables selected through the univariate analysis were: age, Chagas' disease etiology for cardiomyopathy, NYHA functional classes III and IV, orthopnea, systolic blood pressure, mean blood pressure, pulse pressure, plasma urea, sodium, glucose, albumin, bilirubin, hemoglobin, and mean heart rate. The prognostic variables at the multivariate analysis were: ejection fraction, blood urea, and hemoglobin. The risk score: RR=exp[(-0.0942401 x ejection fraction) + (0.0105207 x blood urea) + (-0.2974991 x hemoglobin) + (-0.0132898 x age) + (-0.0099115 x blood glucose)] discriminated the population with a higher death risk.

CONCLUSIONS

Patients' survival was satisfactory despite heart failure severity, suggesting they can be maintained on optimized clinical treatment until persistent clinical deterioration takes place. Ejection fraction, ventricular diameters, and clinical functional class alone should not be used as an indication for heart transplantation. The risk score could help discriminate the population with the poorest prognosis.

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