title: Perioperative predictors of ICU and hospital costs in coronary artery bypass graft surgery.
abstract: OBJECTIVE
  Economic forces have precipitated intense interest in cost-saving practices for patients undergoing coronary artery bypass grafting (CABG). While several preoperative variables have been implicated in higher costs, few studies have included perioperative factors. This study evaluated the predictive power of a preoperative mortality risk measurement (Parsonnet score) and of early extubation (< or = 6 h from ICU admission) in determining ICU and hospital costs.
  
  
  METHODS
  Multivariate correlational design.
  
  
  METHODS
  University hospital in a large metropolitan area.
  
  
  METHODS
  All patients (n = 116) undergoing isolated CABG during a 6-month period were studied after the introduction of a clinical pathway.
  
  
  RESULTS
  Clinical data were collected. Costs data were obtained retrospectively from the institutional data system and were derived from individual patient charges by application of department-specific cost-to-charge ratios. In multivariate logistic regression, Parsonnet score (per point odds ratio [OR], 1.09; confidence interval [CI], 1.03 to 1.17), in-hospital coronary angiography (OR, 3.51; CI, 1.23 to 10.01), delayed extubation (OR, 4.59; CI, 1.29 to 16.29), and presence of arrhythmia (OR, 3.50; CI, 1.15 to 10.64) were independent predictors of ICU costs. Only Parsonnet score (OR, 1.09; CI, 1.03 to 1.15) and cardiopulmonary bypass time (OR, 1.01; CI, 1.00 to 1.02) were independent predictors of hospital costs.
  
  
  CONCLUSIONS
  The Parsonnet score is a useful indicator of both ICU and hospital costs. Early extubation is associated with decreased ICU costs, but is not independently predictive of hospital costs.
authors.affiliation: School of Nursing, University of California, Los Angeles, CA, USA. ldoering@sonnet.ucla.edu
authors.forename: L V
authors.initials: LV
authors.lastname: Doering
authors.forename: F
authors.initials: F
authors.lastname: Esmailian
authors.forename: H
authors.initials: H
authors.lastname: Laks
mesh_terms: D000368:Aged; D016001:Confidence Intervals; D017023:Coronary Angiography / Q000191:economics; D001026:Coronary Artery Bypass / Q000191:economics*; D003325:Coronary Care Units / Q000191:economics*; D003327:Coronary Disease / Q000000981:diagnostic imaging / Q000191:economics / Q000601:surgery; D003365:Costs and Cost Analysis; D005260:Female; D017721:Hospital Costs; D006801:Humans; D007362:Intensive Care Units / Q000191:economics*; D007902:Length of Stay / Q000191:economics; D008297:Male; D017063:Outcome Assessment, Health Care / Q000191:economics*; D012189:Retrospective Studies; D013997:Time Factors; D015300:Ventilator Weaning / Q000191:economics