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Risk index for predicting in-hospital mortality for cardiac valve surgery
Edward L Hannan1, Chuntao Wu, Edward V Bennett
1State University of New York at Albany, Department of Health Policy, Management, and Behavior, One University Place, Rensselaer, NY 12144, USA. elh03@health.state.ny.us
Insights
New risk indices predict short-term mortality for cardiac valve replacement patients. These tools, based on patient factors and surgery type, aid in outcome assessment and regional comparisons.
Area of Science:
- Cardiovascular Surgery
- Health Services Research
- Biostatistics
Background:
- Limited risk indices exist for cardiac valve replacement surgery outcomes.
- Existing indices primarily focus on coronary artery bypass graft (CABG) surgery mortality.
Purpose of the Study:
- Develop and validate statistical models for predicting short-term mortality in cardiac valve surgery patients.
- Create risk indices for isolated valve surgery and combined valve/CABG surgery.
Main Methods:
- Utilized data from New York's Cardiac Surgery Reporting System (2001-2003).
- Developed statistical models incorporating patient demographics, valve surgery type, prior surgeries, ventricular function, hemodynamics, and comorbidities.
- Validated risk index fit by comparing expected versus observed mortality rates (1998-2000 data).
Main Results:
- Identified 11 risk factors for isolated valve surgery and 12 for valve/CABG surgery.
- Risk scores ranged from 0-7 (isolated valve) and 0-5 (valve/CABG) for variables.
- Maximum possible risk scores were 49 (isolated valve) and 35 (valve/CABG); observed maximums were 32 and 26, respectively.
Conclusions:
- The developed valve surgery risk indices enable accurate estimation of short-term mortality risk.
- These indices facilitate objective comparisons of valve surgery outcomes across different regions.
- Provider ability to assess patient risk and benchmark outcomes is enhanced.
Background:
Numerous studies have developed a "severity score" or "risk index" for short-term mortality associated with coronary artery bypass graft (CABG) surgery, but very few studies have developed risk indices derived from statistical models to predict outcomes for cardiac valve replacement patients.
Methods:
Data from New York's Cardiac Surgery Reporting System in 2001 to 2003 were used to develop statistical models that predict mortality for valve surgery and for valve/CABG surgery. These models were used to develop risk indices based on the type of valve surgery performed and several patient risk factors. The fit of each index was tested by examining the correspondence of expected and observed mortality rates for various risk score ranges using New York data between 1998 and 2000.
Results:
There were a total of 11 risk factors for valve patients without CABG surgery and 12 risk factors for patients with both valve and CABG surgery. Risk factors represented measures of demographics, type of valve surgery, previous open heart surgery, ventricular function, hemodynamic state, and various comorbidities. Possible variable scores ranged from 0 to 7 in the isolated valve model and 0 to 5 in the valve/CABG model. The highest overall risk scores possible for the two models were 49 for isolated valve surgery and 35 for valve/CABG surgery, and the highest scores observed for any patient were 32 and 26, respectively.
Conclusions:
These valve surgery risk indices will enable providers to estimate patients' short-term mortality risk and allow for comparisons of valve surgery outcomes with other regions.
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