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Influence of ejection fraction on hospital mortality, morbidity, and costs for CABG patients
1Heart Institute, Good Samaritan Hospital, Los Angeles, California 90017-2395, USA.
Insights
Preoperative ejection fraction (EF) significantly impacts outcomes for coronary artery bypass grafting. Patients with EF 0.40 or greater show the best results, while lower EF values indicate increased mortality and morbidity.
Area of Science:
- Cardiology
- Health Economics
Background:
- Preoperative ejection fraction (EF) is a known risk factor for adverse outcomes in patients undergoing isolated coronary artery bypass grafting (CABG).
- Understanding the precise impact of EF on mortality, morbidity, and costs is crucial for patient management and resource allocation.
Purpose of the Study:
- To investigate the influence of preoperative ejection fraction (EF) on isolated coronary artery bypass grafting (CABG) outcomes.
- To analyze the relationship between EF stratification and hospital mortality, cardiac mortality, hospital morbidity, and hospital costs.
Main Methods:
- Retrospective review of 1,354 consecutive patients undergoing isolated CABG.
- Stratification of preoperative ejection fraction (EF) into regular intervals for comparative analysis.
- Development and application of a novel statistical tool, "discharge analysis," for cost data evaluation.
Main Results:
- Patients with an ejection fraction (EF) of 0.40 or greater demonstrated the most favorable outcomes, characterized by the lowest mortality, morbidity, and costs.
- EF values above 0.40 did not show further predictive value for outcomes.
- Patients with EF less than 0.30 experienced significantly poorer outcomes compared to those with EF between 0.30 and 0.39.
Conclusions:
- Ejection fraction (EF) is a statistically validated predictor of mortality, morbidity, and resource utilization in CABG patients.
- Patients can be effectively categorized into three groups based on EF ( >0.40, 0.30-0.39, <0.30) for predicting clinical and cost outcomes.
- A new statistical method, "discharge analysis," was developed to enhance the accuracy of cost analysis in healthcare settings.
Background:
Preoperative ejection fraction (EF) has been shown to adversely affect postoperative hospital mortality and morbidity for patients undergoing isolated coronary artery bypass grafting.
Methods:
To investigate influence of EF on isolated coronary artery bypass grafting outcomes (overall hospital mortality, hospital cardiac mortality, hospital morbidity, and hospital costs), data were reviewed from 1,354 consecutive patients who underwent isolated coronary artery bypass grafting between January 1, 1990, and April 30, 1992, at a single nonprofit hospital. Overall hospital mortality was 4.06% (cardiac, 2.36%). Hospital morbidity was 14.25% (including mortality). Hospital costs (not charges) averaged $16,673 per patient. To explore the impact of preoperative EF, EF was stratified into regular intervals. Each interval was then compared with regard to hospital mortality, morbidity, and average costs. A new statistical tool, discharge analysis, was developed to analyze the cost data. This was necessary because previous efforts at cost analysis have used tools inappropriate for real world cost data.
Results:
The statistical analysis showed that patients with EF of 0.40 or greater had the best outcomes (lowest mortality, morbidity, and cost). Once the EF is 0.40 or greater the EF does not carry further predictive value. At EF less than 0.40, patients with EF less than 0.30 have a poorer outcome than patients with EF of 0.30 to 0.39.
Conclusions:
(1) Ejection fraction is a valid predictor of mortality, morbidity and resource utilization based on statistical analysis. (2) Patients can be broadly grouped as having EF greater than 0.40, less than 0.30, or from 0.30 to 0.39 with regard to clinical and cost outcomes. (3) Postoperative length of stay is not predicted by risk-adjusted EF. (4) A new tool, discharge analysis, is presented to facilitate cost analysis.
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