Predictors of mortality in patients with left-side infective endocarditis, the ESC-EORP EURO-ENDO registry

Abstract Background/Introduction Infective endocarditis (IE) is associated with high in-hospital mortality, ranging from 16% to 25%, despite improvement in diagnostic and therapeutic strategies, mainly due to complications and heterogeneity of the disease. Baseline risk stratification is essential, in order to focus an aggressive management toward high-risk patients. Purpose We sought to assess the association between surgery and 30-day mortality rate as related to vegetation size. Methods The ESC-EORP EURO-ENDO registry is a prospective multicentre observational study of patients presenting with definite or possible IE in Europe and ESC-affiliated/non-affiliated countries. Patients were included from January 2016 to 31 March 2018 in 156 centers from 40 countries. Clinical data, blood test analysis and multi-modality imaging tests (echocardiography, computed tomography, PET-CT, magnetic resonance) were collected. Primary endpoint was 30-day mortality. Multivariable logistic regression analysis was performed to assess variables associated with 30-day mortality. Besides, univariable analysis was performed to assess best vegetation size cut-off related to 30-day mortality. Results Among 2171 patients with left-side IE, 257 patients (11.8%) died during the first 30 days of IE diagnosis. Patient characteristics and univariable analysis are summarized in TABLE 1. Cut-off value for best vegetation size related to 30-day mortality was vegetation length >14mm, with a HR =2.00 (95% CI 1.59–2.51, p