Multivariate discriminant analysis of risk factors for operative mortality following isolated coronary artery bypass graft. Loyola University Medical Center experience, 1970 to 1984.

The Loyola Open-Heart Registry is a fully operational database that contains detailed data on approximately 9,000 patients who have undergone coronary bypass or cardiac valve replacement from January 1970 to December 1984. We analyzed the registry data using multivariate discriminant analysis to identify and quantitate those factors that might predict operative mortality (OM) for patients undergoing coronary artery bypass grafts at Loyola University Medical Center: Operative mortality was defined as death within 30 days following surgery. A total of 50 clinical and angiographic variables were analyzed for possible univariate association with operative mortality. Twenty-two variables were found to have significant univariate association with OM, and these 22 variables were subjected to multivariate discriminant analysis. For patients undergoing isolated, elective coronary artery bypass, the factors found to be predictive of OM are age (greater than 70) (F = 11.57), severe (more than six stenoses) coronary artery disease (F = 5.81), diffuse disease (F = 5.54), positive family history (F = 5.17), and number of coronary arteries bypassed (F = 4.78).

A database management system for cardiovascular disease.

The Loyola Open-Heart Registry is a fully operational database that has hundreds of programs designed to input, modify, verify, maintain, update and analyze its raw data. It contains retrospectively collected data on approximately 4000 patients who underwent coronary bypass (CABG) or cardiac valve replacement (CVR) from January 1970 to May 1981. Since 1981 we have collected detailed information on approximately 1300 patients per year. The system is described in clinical and technical terms. The means of data acquisition and input are described and a flow chart for the collection of data is provided. The system's hardware is described briefly, and the nature and limitations of the software are discussed. Specific datasheets are described, and examples of output retrievals are provided. A few comments are made regarding the administrative aspects of database management. The entire paper is summarized, and our future plans and areas of development are described.