title: Use of postoperative information to predict mortality rates for patients who have long stays in the intensive care unit after coronary artery bypass grafting.
abstract: OBJECTIVE
  To derive and evaluate prediction models for patients who had undergone coronary artery bypass grafting (CABG) and had a difficult postoperative course.
  
  
  METHODS
  Observational.
  
  
  METHODS
  Midwestern hospital specializing in high-risk CABG procedures.
  
  
  METHODS
  One hundred eighty-three patients who stayed at least 10 consecutive days in the intensive care unit after a CABG procedure.
  
  
  METHODS
  Death within 60 days of surgery.
  
  
  METHODS
  None.
  
  
  RESULTS
  The final logistic regression prediction models included the following findings: pulmonary capillary wedge pressure, cardiac index, heart rate, urine output, positive end-expiratory pressure, blood urea nitrogen levels, and the arterial pressure of carbon dioxide. The model was able to stratify patients into four risk groups with observed 60-day mortality rates of 0.0% (n = 107), 21% (n = 39), 55% (n = 20), and 88% (n = 17). Preoperative patient information was not associated with prognosis for these patients.
  
  
  CONCLUSIONS
  The findings suggest that a risk model that is specific for patients who have undergone CABG and is based on postoperative findings may provide useful prognostic information for patients who are having a difficult postoperative course.
authors.affiliation: Department of Family Medicine, University of Iowa College of Medicine, Iowa City 52242-1097, USA.
authors.forename: A
authors.initials: A
authors.lastname: Hartz
authors.forename: C
authors.initials: C
authors.lastname: Guse
authors.forename: K
authors.initials: K
authors.lastname: Kayser
authors.forename: E
authors.initials: E
authors.lastname: Kuhn
authors.forename: D
authors.initials: D
authors.lastname: Johnson
mesh_terms: D000368:Aged; D016022:Case-Control Studies; D001026:Coronary Artery Bypass / Q000401:mortality*; D005260:Female; D017052:Hospital Mortality; D006801:Humans; D007362:Intensive Care Units; D007902:Length of Stay; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011184:Postoperative Period; D011237:Predictive Value of Tests; D011379:Prognosis; D012042:Registries; D012307:Risk Factors