title: Hospital resource utilization during coronary artery bypass surgery.
abstract: OBJECTIVE
  To predict hospital resource utilization for coronary surgery (CABG) from preoperative characteristics and to determine the influence of previous CABG on the results.
  
  
  METHODS
  Two analyses of the data were used to predict hospital costs: 1) a univariate analysis of each preoperative variable; and 2) a multivariate analysis of preoperative variables, and interaction terms with previous CABG.
  
  
  METHODS
  A sample of 418 patients who received CABG at Emory University during 1990.
  
  
  RESULTS
  From the multivariate analysis, the determinants of costs were previous CABG (P = 0.0653), female sex (P = 0.1005), diabetes (P = 0.0805), older age (P = 0.0062), and a combination of previous CABG with female sex (P = 0.0017), previous myocardial infarction (P = 0.0636), low ejection fraction (P = 0.0001), and younger age (P = 0.0363).  For the univariate analysis, the determinants of increased costs were similar to those from the multivariate analysis.
  
  
  CONCLUSIONS
  The correlation between patients with potential medical difficulties or previous cardiovascular surgery show a positive impact on higher hospital costs.
authors.affiliation: Schools of Public Health and Medicine, Emory University, Atlanta, Georgia.
authors.forename: P D
authors.initials: PD
authors.lastname: Mauldin
authors.forename: E R
authors.initials: ER
authors.lastname: Becker
authors.forename: V L
authors.initials: VL
authors.lastname: Phillips
authors.forename: W S
authors.initials: WS
authors.lastname: Weintraub
mesh_terms: D000367:Age Factors; D000368:Aged; D001026:Coronary Artery Bypass / Q000191:economics*; D003327:Coronary Disease; D004469:Economics, Hospital; D005260:Female; D017048:Health Care Costs; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D014481:United States