OBJECTIVE: There is an important role for risk prediction in cardiac surgery. Prediction models are useful in decision making and quality assurance. Patients with infective endocarditis (IE) have a particularly high risk of mortality. The aim was to assess the performance of European System for Cardiac Operative Risk Evaluation (EuroSCORE) in IE. METHODS: The additive and logistic EuroSCORE models were applied to all patients undergoing surgery for IE (Duke criteria) between January 1995 and April 2006 within our prospective institutional database. Observed and predicted mortalities were compared. Model calibration was assessed with the Hosmer-Lemeshow test. Model discrimination was tested by determining the area under the receiver operating characteristic (ROC) curve. RESULTS: One hundred and eighty-one consecutive patients undergoing 191 operations were analyzed. Observed mortality was 28.8%. For the entire cohort the mean additive score was 10.4 (additive predicted mortality of 14.2%). The mean logistic predicted mortality was 27.1%. Discriminative power was good for the additive and the logistic models for the entire series. Area under ROC curve were 0.83 (additive) and 0.84 (logistic) for the entire cohort, 0.81 and 0.81 for the aortic position, 0.91 and 0.92 for the mitral position, 0.81 and 0.81 for the native valve, 0.82 and 0.83 for the prosthetic valves, and 0.81 and 0.51 for the gram-positive microorganisms, respectively. CONCLUSIONS: This initial sample may be small; however, additive and logistic EuroSCORE adequately stratify risk in IE. Logistic EuroSCORE has been calibrated in IE, a special group of very high-risk patients. Further studies with larger sample sizes are required to confirm these initial results.
OBJECTIVE: There is an important role for risk prediction in cardiac surgery. Prediction models are useful in decision making and quality assurance. Patients with infective endocarditis (IE) have a particularly high risk of mortality. The aim was to assess the performance of European System for Cardiac Operative Risk Evaluation (EuroSCORE) in IE. METHODS: The additive and logistic EuroSCORE models were applied to all patients undergoing surgery for IE (Duke criteria) between January 1995 and April 2006 within our prospective institutional database. Observed and predicted mortalities were compared. Model calibration was assessed with the Hosmer-Lemeshow test. Model discrimination was tested by determining the area under the receiver operating characteristic (ROC) curve. RESULTS: One hundred and eighty-one consecutive patients undergoing 191 operations were analyzed. Observed mortality was 28.8%. For the entire cohort the mean additive score was 10.4 (additive predicted mortality of 14.2%). The mean logistic predicted mortality was 27.1%. Discriminative power was good for the additive and the logistic models for the entire series. Area under ROC curve were 0.83 (additive) and 0.84 (logistic) for the entire cohort, 0.81 and 0.81 for the aortic position, 0.91 and 0.92 for the mitral position, 0.81 and 0.81 for the native valve, 0.82 and 0.83 for the prosthetic valves, and 0.81 and 0.51 for the gram-positive microorganisms, respectively. CONCLUSIONS: This initial sample may be small; however, additive and logistic EuroSCORE adequately stratify risk in IE. Logistic EuroSCORE has been calibrated in IE, a special group of very high-risk patients. Further studies with larger sample sizes are required to confirm these initial results.
Authors: José M Miró; José M Entenza; Ana Del Río; Maria Velasco; Ximena Castañeda; Cristina Garcia de la Mària; Marlyse Giddey; Yolanda Armero; Juan M Pericàs; Carlos Cervera; Carlos A Mestres; Manuel Almela; Carlos Falces; Francesc Marco; Philippe Moreillon; Asuncion Moreno Journal: Antimicrob Agents Chemother Date: 2012-05-29 Impact factor: 5.191
Authors: Tom Kai Ming Wang; Timothy Oh; Jamie Voss; Greg Gamble; Nicholas Kang; James Pemberton Journal: Heart Vessels Date: 2014-01-25 Impact factor: 2.037
Authors: Marisa De Feo; Maurizio Cotrufo; Antonio Carozza; Luca S De Santo; Francesco Amendolara; Salvatore Giordano; Ester E Della Ratta; Gianantonio Nappi; Alessandro Della Corte Journal: ScientificWorldJournal Date: 2012-03-12
Authors: Giuseppe Gatti; Andrea Perrotti; Jean-François Obadia; Xavier Duval; Bernard Iung; François Alla; Catherine Chirouze; Christine Selton-Suty; Bruno Hoen; Gianfranco Sinagra; François Delahaye; Pierre Tattevin; Vincent Le Moing; Aniello Pappalardo; Sidney Chocron Journal: J Am Heart Assoc Date: 2017-07-20 Impact factor: 5.501