![]() También utilizamos cookies propias y de terceros para recordar algunas opciones que hayas elegido (idioma, por ejemplo) y cookies publicitarias que permitirán mostrarte publicidad relacionada con tus preferencias, en base a un perfil elaborado a partir de tus hábitos de navegación (por ejemplo, a partir de las páginas web visitadas). Utilizamos cookies propias y de terceros para realizar estadísticas de uso de la web con la finalidad de identificar fallos y poder mejorar los contenidos y configuración de la página web. You can withdraw your consent or change your preferences at any time and obtain more information in the Cookies Policy. You can set your preferences by clicking the "SETTINGS" button. language), to improve the services by analysing your browsing habits and to allow us to show you advertising that is relevant to your preferences based on a profile created from your browsing habits (for example, based on the web pages you have visited). doi: 10.1016/j.ejcts.2010.02.042.EF-CLIF uses first and third-party cookies to provide the service you request, remember some of your choices when you navigate our site (i.e. Risk prediction and outcomes in patients with liver cirrhosis undergoing open-heart surgery. Thielmann M, Mechmet A, Neuhäuser M, Wendt D, Tossios P, Canbay A, Jakob H. Hepatic encephalopathy as a predictor of survival in patients with end-stage liver disease. Stewart CA, Malinchoc M, Kim WR, Kamath PS. Model for end-stage liver disease (MELD) and allocation of donor livers. Wiesner RH, Edwards EB, Freeman RB, Harper A, Kim R, Kamath PS. Wiesner R, Edwards E, Freeman R, Harper A, Kim R, Kamath P, Kremers W, Lake J, Howard T, Merion RM, Wolfe RA, Krom R. A model to predict survival in patients with end-stage liver disease. Kamath P, Wiesner RH, Malinchoc M, Kremers W. ![]() As the current risk stratification scores do not consider this, we recommend applying the MELD score before considering patients for cardiac surgery.Ĭardiac surgery Liver disease MELD Preoperative. A higher mortality was observed in patients with reduced liver and renal function, with a significant increase in patients with a MELD score > 20. Incidentally, an increased MELD Score was not associated with a significant increase in the postoperative incidence of stroke/TIA or the presence of sternal wound infections/complications. The highest rates of postoperative bleeding (13.8%) and, repeat thoracotomy (13.2%) & postoperative pneumonia (17.4%) were seen in Group 3 (threefold increase when compared to Group 1, renal failure requiring dialysis (N = 235, 2.7% in Group 1 v/s N = 78, 22.9% in Group 3) or requiring high dose catecholamines post-operatively or mechanical circulatory support (IABP/ECLS). To perform a univariate analysis of the data, patients were classified into three groups based on the MELD Score: MELD 20 experienced a 31.2% postoperative mortality, compared to Group 1 (4.6%) and Group 2 (17.5%). We retrospectively examined patient data using the MELD score as a predictor of mortality. Risk stratification, using scores such as EURO Score II or STS Short-Term Risk Calculator for patients undergoing cardiac surgery with cardiopulmonary bypass, ignores the quantitative renal and hepatic function therefore, MELD-Score was applied in these cases. The outcome of the patients undergoing cardiac surgery with cardiopulmonary bypass (CPB) is also influenced by the renal and hepatic organ functions. ![]()
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