PREDICTING OUTCOME AFTER CARDIAC TRANSPLANTATIONS - LESSONS FROM THE CARDIAC TRANSPLANT RESEARCH DATABASE

Survival and quality of life after transplantation are limited by post transplant events such as rejection and infection. The description and subsequent prediction of these and other events is the goal of the Ca rdiac Transplant Research Database group. This paper provides a descri ption of the purpose, methods of data collection and analysis, and res ults of the published data from the Cardiac Transplant Research Databa se. A review of the analyses of death, rejection, and infection is mad e along with a discussion of the clinical application of these data. U tilizing the data from the Cardiac Transplant Research Database, the c linician may apply established risk factors for posttransplant adverse events to individual patients.