Risk Model Predicts Transplant Patient Readmission Risk

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Less than a high school education and delayed graft function are among the factors.
Less than a high school education and delayed graft function are among the factors.

SAN FRANCISCO—Researchers have developed a new risk model to predict the likelihood of hospital readmission of a patient within 30 days of receiving a kidney transplant, according to a presentation at the 2014 World Transplant Congress.

David Taber, PharmD, director of clinical research in the division of transplant surgery at the Medical University of South Carolina in Charleston, and his colleagues conducted a large-scale retrospective analysis that included 1,176 adult kidney transplant recipients who received their kidneys from 2005 to 2012. The researchers noted that understanding important factors associated with 30-day readmissions may lead to improved risk assessment, a better use of resources, and possibly reduce events.

Of the 1,176 patients, 130 (11%) had to be readmitted within 30 days of receiving their transplant. The most significant predictors of 30-day readmission were recipient sociodemographics, induction therapy, delayed graft function (DGF), and a number of index hospitalization data.

On multivariate analysis, patients who did not graduate from high school were nearly 5 times more likely than high school graduates to be readmitted within 30 days. Patients with DGF were 3.8 times more likely than those with immediate graft function to be readmitted within 30 days.

Donor factors were not significantly associated with 30-day readmission.  Dr. Taber said this risk model, if validated, could be used to focus resources on high-risk patients and reduce events.

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