OBJECTIVE: To predict hospital resource utilization for coronary surgery (CABG) from preoperative characteristics and to determine the influence of previous CABG on the results. DESIGN: 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. PATIENTS: 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. CONCLUSION: The correlation between patients with potential medical difficulties or previous cardiovascular surgery show a positive impact on higher hospital costs.
OBJECTIVE: To predict hospital resource utilization for coronary surgery (CABG) from preoperative characteristics and to determine the influence of previous CABG on the results. DESIGN: 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. PATIENTS: 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. CONCLUSION: The correlation between patients with potential medical difficulties or previous cardiovascular surgery show a positive impact on higher hospital costs.