Improved survival with ventricular assist device support in cardiogenic shock after myocardial infarction.
Publication/Presentation Date
1-1-2003
Abstract
BACKGROUND: Cardiogenic shock after acute myocardial infarction is associated with a very high mortality rate.
METHODS: A retrospective review was performed of records of all patients supported with an Abiomed device at our institution between 1994 and 2002 to identify those patients who underwent device insertion for the treatment of acute myocardial infarction complicated by cardiogenic shock (AMI-CS).
RESULTS: Seventeen patients who were suffering from AMI-CS and for whom medical management was failing were supported using the Abiomed BVS 5000. The average age of these patients was 57.6 years. Eleven patients were suffering primarily from left ventricular dysfunction and were supported with a left ventricular assist device (LVAD). Eight of these patients were weaned from device support, a nd 6 survived to hospital discharge (54%). In contrast, 6 patients presented with biventricular failure and were supported with biventricular VADs (BiVADs). None of these BiVAD patients could be weaned from device support. Two BiVAD patients underwent cardiac transplantation, and only one survived.
CONCLUSION: In the presence of left ventricular failure producing cardiogenic shock after myocardial infarction, LVAD support can produce a 54% survival rate in those patients w ho are failing medical management. However, in patients in biventricular failure after myocardial infarction, BiVAD support may be used to stabilize the patient until transplantation, but the overall prognosis remains poor.
Volume
6
Issue
5
First Page
316
Last Page
319
ISSN
1522-6662
Published In/Presented At
Entwistle, J. W., 3rd, Bolno, P. B., Holmes, E., & Samuels, L. E. (2003). Improved survival with ventricular assist device support in cardiogenic shock after myocardial infarction. The heart surgery forum, 6(5), 316–319.
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
14721801
Department(s)
Administration and Leadership
Document Type
Article