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Eur J Cardiothorac Surg · Mar 2017
Incidence and predictors of vasoplegia after heart failure surgery.
- Marieke E van Vessem, Meindert Palmen, Lotte E Couperus, Bart Mertens, Remco R Berendsen, Laurens F Tops, Harriëtte F Verwey, Evert de Jonge, Robert J M Klautz, Martin J Schalij, and Saskia L M A Beeres.
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands.
- Eur J Cardiothorac Surg. 2017 Mar 1; 51 (3): 532-538.
ObjectivesVasoplegia has been described as a complication after cardiac surgery, particularly in patients with a poor left ventricular ejection fraction. The aim of this study was to assess the incidence, survival and predictors of vasoplegia in patients undergoing heart failure surgery and to propose a risk model.MethodsA retrospective study including heart failure patients who underwent surgical left ventricular restoration, CorCap implantation or left ventricular assist device implantation between 2006 and 2015. Patients were classified by the presence or absence of vasoplegia.ResultsTwo hundred and twenty-five patients were included. The incidence of vasoplegia was 29%. The 90-day survival rate in vasoplegic patients was lower compared with non-vasoplegic patients (71% vs 91%, P < 0.001). After adjusting for age, sex and surgical procedure, anaemia (OR 2.195; 95% CI 1.146, 4.204; P = 0.018) and a higher thyroxine level (OR 1.140; 95% CI 1.033, 1.259; P = 0.009) increased the risk of vasoplegia; a higher creatinine clearance (OR 0.980; 95% CI 0.965, 0.994; P = 0.006) and beta-blocker use (OR 0.257; 95% CI 0.112, 0.589; P = 0.001) decreased the risk. The risk model consisted of the same variables and could adequately identify patients at risk for vasoplegia.ConclusionsVasoplegia after heart failure surgery is common and results in a lower survival rate. Anaemia and a higher thyroxine level are associated with an increased risk on vasoplegia. In contrast, a higher creatinine clearance and beta-blocker use decrease the risk on vasoplegia. These factors are used in the risk model that may guide treatment strategy.© The Author 2016. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.
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