Predicting prolonged intensive care unit length of stay in patients undergoing coronary artery bypass surgery - development of an entirely preoperative scorecard
Christine R. Herman 1*,
Wojtek Karolak 1,
Alexandra M. Yip 1,
Karen J. Buth 1,
Ansar Hassan 1,
Jean-Francois Legare 1
1 Queen Elizabeth Health Science Center, Halifax, Canada
* To whom correspondence should be addressed. E-mail: cherman{at}dal.ca.
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Abstract |
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We sought to develop a predictive model based exclusively on preoperative factors to identify patients at risk for PrlICULOS following coronary artery bypass grafting (CABG). Retrospective analysis was performed on patients undergoing isolated CABG at a single center between June 1998 and December 2002. PrlICULOS was defined as initial admission to ICU exceeding 72 h. A parsimonious risk-predictive model was constructed on the basis of preoperative factors, with subsequent internal validation. Of 3483 patients undergoing isolated CABG between June 1998 and December 2002, 411 (11.8%) experienced PrlICULOS. Overall in-hospital mortality was higher among these patients (14.4% vs. 1.2%, p
0.0001). The following variables were found to be independent predictors of PrlICULOS: increased age, recent myocardial infarction, preoperative renal failure, cerebral and/or peripheral vascular disease, chronic obstructive pulmonary disease, ejection fraction <40%, previous CABG, triple vessel and/or left main disease, NYHA IV symptoms and urgent or emergent status. Subsequent validation of this model demonstrated a c-statistic of 78%. An internally-validated, risk predictive model of PrlICULOS in patients undergoing CABG was constructed. Based on preoperative clinical factors a scorecard was developed allowing identification of these patients prior to surgery and allowing for strategies aimed at optimizing hospital resources. Keywords: Cardiac surgery; Intensive care units; Coronary artery bypass
