tailieunhanh - Báo cáo y học: "A multivariate Bayesian model for assessing morbidity after coronary artery surgery"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care cung cấp cho các bạn kiến thức về ngành y đề tài: A multivariate Bayesian model for assessing morbidity after coronary artery surgery. | Available online http content 10 3 R94 Research A multivariate Bayesian model for assessing morbidity after coronary artery sUrgery Bonizella Biagioli1 Sabino Scolletta1 Gabriele Cevenini1 Emanuela Barbini2 Pierpaolo Giomarelli1 and Paolo Barbini1 1 Department of Surgery and Bioengineering University of Siena Viale Bracci 53100 Siena Italy 2Department of Physiopathology Experimental Medicine and Public Health University of Siena Via Aldo Moro 531 00 Siena Italy Corresponding author Paolo Barbini barbini@ Received 27 Jan 2006 Revisions requested 13 Mar 2006 Revisions received 4 May 2006 Accepted 1 7 May 2006 Published 17 Jul 2006 Critical Care 2006 10 R94 doi cc4951 This article is online at http content 10 3 R94 2006 Biagioli et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Open Access Abstract Introduction Although most risk-stratification scores are derived from preoperative patient variables there are several intraoperative and postoperative variables that can influence prognosis. Higgins and colleagues previously evaluated the contribution of preoperative intraoperative and postoperative predictors to the outcome. We developed a Bayes linear model to discriminate morbidity risk after coronary artery bypass grafting and compared it with three different score models the Higgins original scoring system derived from the patient s status on admission to the intensive care unit ICU and two models designed and customized to our patient population. Methods We analyzed 88 operative risk factors 1 090 consecutive adult patients who underwent coronary artery bypass grafting were studied. Training and testing data sets of 740 patients and 350 patients respectively were used.

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