1. Preoperative risk factors that predict hospital length of stay in coronary artery bypass patients60 years old
- Author
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S J, Lahey, B C, Borlase, P T, Lavin, and S, Levitsky
- Subjects
Aged, 80 and over ,Heart Failure ,Intra-Aortic Balloon Pumping ,Cost Control ,Cost-Benefit Analysis ,Hospital Bed Capacity, 300 to 499 ,Age Factors ,Length of Stay ,Middle Aged ,Fees and Charges ,Risk Factors ,Creatinine ,Humans ,Obesity ,Coronary Artery Bypass ,Aged ,Boston ,Proportional Hazards Models ,Retrospective Studies - Abstract
The ability to predict prolonged length of stay (LOS) is essential to control escalating hospital costs. Operative mortality is a poor predictor of LOS; morbidity as defined by hospitalization for14 days after coronary artery bypass graft surgery (CABG), appears to be responsible for increasing costs. The purpose of this study was to measure preoperative predictive indicators of increased LOS with an eventual plan to offer alternative cost-benefit therapeutic options.Nine hundred twenty-four consecutive patients (age, 60-86 years) undergoing CABG were retrospectively studied by means of the Cox proportional hazards model. Seventeen variables, excluding death, were analyzed and quantified as to importance, and point totals were calculated for each patient. Scores were 12 for congestive heart failure and intra-aortic balloon assist device; 10, creatinine2; 6, intra-aortic balloon assist device only; 5, congestive heart failure only; 3, obesity; 6, age75 years; 3, age 70-75 years; and 2, 65-69 years.Increasing index score directly correlated with an exponential increase in LOS. These data substantiate the hypothesis that a mathematical model can predict LOS in CABG patients and may offer rational alternative strategies in delivering cost-effective health care.
- Published
- 1992