Researchers develop new way to predict heart transplant survival
Date: 2.9.2011
Johns Hopkins researchers say they have developed a formula to predict which heart transplant patients are at greatest risk of death in the year following their surgeries, information that could help medical teams figure out who would benefit most from the small number of available organs.
Conte and his colleagues, writing in the September issue of Annals of Thoracic Surgery, pulled together a series of risk factors already associated with poor outcomes, such as age, race, gender, the cause of a patient's heart failure and whether he or she was on dialysis, and then assigned a number of points to each factor. The sum of those points created a score. The higher the score, the higher the risk of death one year after transplant.
Patients with the lowest scores - between zero and two - had a 92.5 percent chance of being alive 12 months after surgery.
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