title: Predicting hospital costs for first-time coronary artery bypass grafting from preoperative and postoperative variables.
abstract: To predict hospital costs after coronary artery bypass grafting (CABG) from preoperative characteristics and postoperative complications, 4 analyses of the data were used: (1) a univariate analysis of each preoperative and postoperative variable, (2) a multivariate analysis of the preoperative variables (model 1), (3) a multivariate analysis of the postoperative variables (model 2), and (4) a multivariate analysis of pre- and postoperative variables (model 3). Eight-hundred seven patients who underwent a first-time CABG at Emory University during 1990 were analyzed in this study. Using model 1, the determinants of costs were higher angina grade (p = 0.0006), previous myocardial infarction (p = 0.0133), older age (p = 0.0001), congestive heart failure (p = 0.0001), and a higher number of diseased vessels (p = 0.0001). For model 2, the determinants of costs were adult respiratory distress syndrome (p = 0.0073), intraaortic balloon pumping (p < 0.0001), pneumonia (p < 0.0001), septicemia p < 0.0001), major arrhythmia (p < 0.0001), reexploration for bleeding (p < 0.0001), wound infection (p = 0.0632), neurologic event (p = 0.0013), fluid overload (p = 0.0516), and absence of pericarditis (p = 0.0588). For univariate analysis, the determinants of increased costs were similar to those from models 1 and 2. Although there is considerable variance in hospital costs for any number of complications, utilized resources (costs) increase inexorably as patients have more complications after coronary surgery. The mean cost to the hospital for the 382 patients who underwent CABG and experienced no complications was $16,776.(ABSTRACT TRUNCATED AT 250 WORDS)
authors.affiliation: School of Public Health, Emory University, Atlanta, GA.
authors.forename: P D
authors.initials: PD
authors.lastname: Mauldin
authors.forename: W S
authors.initials: WS
authors.lastname: Weintraub
authors.forename: E R
authors.initials: ER
authors.lastname: Becker
mesh_terms: D001026:Coronary Artery Bypass / Q000191:economics*; D003327:Coronary Disease / Q000150:complications* / Q000601:surgery; D005260:Female; D005845:Georgia; D006295:Health Resources / Q000706:statistics & numerical data; D017721:Hospital Costs / Q000706:statistics & numerical data*; D006785:Hospitals, University / Q000191:economics*; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011183:Postoperative Complications / Q000191:economics*; D012044:Regression Analysis; D012307:Risk Factors