EXPEDITED REVIEW
Risk Stratification of In-Hospital Mortality for Coronary Artery Bypass Graft Surgery
Edward L. Hannan, PhD, FACC*,
Chuntao Wu, MD, PhD*,
Edward V. Bennett, MD ,
Russell E. Carlson, MD ,
Alfred T. Culliford, MD ,
Jeffrey P. Gold, MD, FACC||,
Robert S.D. Higgins, MD¶,
O. Wayne Isom, MD, FACC#,
Craig R. Smith, MD** and
Robert H. Jones, MD, FACC,*
* University at Albany, State University of New York, Albany, New York
St. Peter’s Hospital, Albany, New York
Mercy Hospital, Buffalo, New York
New York University Medical Center, New York, New York
|| Medical University of Ohio, Toledo, Ohio
¶ Rush University Medical Center, Chicago, Illinois
# Weill-Cornell Medical Center, New York, New York
** Columbia-Presbyterian Medical Center, New York, New York
Duke University Medical Center, Durham, North Carolina.
Manuscript received August 25, 2005;
revised manuscript received October 13, 2005,
accepted October 18, 2005.
* Reprint requests and correspondence: Dr. Robert H. Jones, Duke Clinical Research Institute, P.O. Box 17969, Durham, North Carolina 27715. (Email: jones060{at}mc.duke.edu).
OBJECTIVES: The purpose of this research was to develop a risk index for in-hospital mortality for coronary artery bypass graft (CABG) surgery.
BACKGROUND: Risk indexes for CABG surgery are used to assess patients’ operative risk as well as to profile hospitals and surgeons. None has been developed using data from a population-based region in the U.S. for many years.
METHODS: Data from New York’s Cardiac Surgery Reporting System in 2002 were used to develop a statistical model that predicts mortality and to create a risk index based on a relatively small number of patient risk factors. The fit of the index was tested by applying it to another year (2003) of New York data and testing the correspondence of expected and observed mortality rates for each risk score in the index.
RESULTS: The risk index contains a total of 10 risk factors (age, female gender, hemodynamic state, ejection fraction, pre-procedural myocardial infarction, chronic obstructive pulmonary disease, calcified ascending aorta, peripheral arterial disease, renal failure, and previous open heart operations). The score possible for each variable ranges from 0 to 5, and total risk scores possible range from 0 to 34. The highest score observed for any patient was 22, and 93% of the patients had scores of 8 or lower. When the risk index was applied to another year of New York data with a considerably lower mortality rate, the C-statistic was 0.782.
CONCLUSIONS: The risk index appears to be a valuable tool for predicting patient risk when applied to another year of New York data. It should now be tested against other risk indexes in a variety of geographical regions.
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Abbreviations and Acronyms
| | CABG = coronary artery bypass graft | | CI = confidence interval | | CSRS = Cardiac Surgery Reporting System | | EF = ejection fraction | | EuroSCORE = risk score based on European data | | MI = myocardial infarction | | OMR = observed mortality rate | | OR = odds ratio | | PCI = percutaneous coronary intervention | | PMR = predicted mortality rate |
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