Reemplazo valvular aórtico con prótesis biológica en pacientes mayores de 70 años con estenosis aórtica

Autor: Oslando Padilla P, Cecilia Muñoz C, Gabriel Olivares R, Pedro Becker R, Rodrigo González F, Ricardo Mejía M, Ricardo Zalaquett S, Manuel J Irarrázaval Ll, Felipe Quezada D, Sergio Morán V
Rok vydání: 2011
Předmět:
Zdroj: Revista médica de Chile v.139 n.2 2011
SciELO Chile
CONICYT Chile
instacron:CONICYT
ISSN: 0034-9887
DOI: 10.4067/s0034-98872011000200002
Popis: Background: Aortic valve stenosis is the most prevalent valvulopathy in the elderly, but it is frequently undertreated. Aim: To assess early and long term results of valve replacement with bioprostheses in patients 70 years old or older with aortic stenosis. Patients and Methods: A review of the database of the Cardiovascular Surgery Service of our hospital, for the period 1990-2007, identified 156 patients with aortic valve stenosis, aged 76.7 ± 4.5 years (67% males), that were subjected to an aortic valve replacement with bioprosthesis. Seventy eight (50%) were in functional class III-IV. Six patients had emergency surgery. In 67 patients (43%) coronary artery bypass graft were performed. Long term mortality was ascertained obtaining death records from Chilean death registry. Results: Operative mortality was 3.2% (5 patients). Four patients (2.6%) required a reoperation due to bleeding. The mean follow up was 66 ± 41 months. The survival rate at 1, 3 and 5years was 94%, 88% and 80%, respectively. Forty two patients (27%) were 80years old or older. In this sub-group, 1 patient (2.3%) died during the peri operative period and the estimated survival rate at 1, 3 and 5years was 97%, 92%, and 80%, respectively. Multivariate risk analysis, for the whole group, identified low ejection fraction and concomitant coronary artery bypass graft surgery as predictors of late mortality. Conclusions: Aortic valve replacement for aortic stenosis with bioprostheses in patients 70 years old or older had low perioperative mortality and morbidity and a good long term survival.
Databáze: OpenAIRE