Development of a Predictive Model for Hyperglycemia in Nondiabetic Recipients After Liver Transplantation.

ABSTRACT:

Background

Posttransplant hyperglycemia has been associated with increased risks of transplant rejection, infections, length of stay, and mortality.

Methods

To establish a predictive model to identify nondiabetic recipients at risk for developing postliver transplant (LT) hyperglycemia, we performed this secondary, retrospective data analysis of a single-center, prospective, randomized, controlled trial of glycemic control among 107 adult LT recipients in the inpatient period. Hyperglycemia was defined as a posttransplant glucose level greater than 200 mg/dL after initial discharge up to 1 month following surgery. Candidate variables with P less than 0.10 in univariate analyses were used to build a multivariable logistic regression model using forward stepwise selecti

SUBMITTER: Zelada H 

PROVIDER: S-EPMC6233666 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature