Is it possible to predict outcome in cardiac ECMO? Analysis of preoperative risk factors
| Autor: | Kari, Wagner, Ivar, Risnes, Michael, Abdelnoor, Harald M, Karlsen, Jan Ludvig, Svennevig |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Adult
Male Adolescent 030204 cardiovascular system & hematology 03 medical and health sciences Extracorporeal Membrane Oxygenation 0302 clinical medicine Risk Factors Humans Radiology Nuclear Medicine and imaging Child Heart Failure Advanced and Specialized Nursing Infant Newborn Infant General Medicine Middle Aged Survival Rate Logistic Models Treatment Outcome surgical procedures operative 030228 respiratory system Child Preschool Female Cardiology and Cardiovascular Medicine Safety Research |
| Zdroj: | Perfusion. 22:225-229 |
| ISSN: | 1477-111X 0267-6591 |
| DOI: | 10.1177/0267659107083241 |
| Popis: | Background. Serious heart failure may be treated with extracorporeal membrane oxygenation (ECMO) when other treatment fails. The aim of the present study was to analyse preoperative risk factors of early mortality in patients treated with veno-arterial (VA)-ECMO. Methods. We studied a total of 18 possible risk factors in 80 patients with severe cardiac insufficiency treated with VA-ECMO. All consecutive cases treated at our institution between Sept.1990 and May 2006 were included. Univariate analysis and multiple logistic regression analysis were performed on 16 risk factors. The endpoint was early mortality (any death within 30 days of ECMO treatment). Results. Thirty patients (37.5%) died within 30 days. Age, gender, cause of cardiac failure, pre-ECMO treatment (ventilator, NO, IABP) did not significantly influence early mortality. A higher SvO2 was associated with survival and remained significant in the multivariate analysis. Conclusion. Treatment with VA-ECMO in patients with severe cardiac failure may save lives. It is, however, difficult to predict outcome. In this study, only SvO2 values prior to ECMO were positively associated with survival. Perfusion (2007) 22, 225—229. |
| Databáze: | OpenAIRE |
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