Pre-transplant predictors of one yr weight gain after kidney transplantation

Clin Transplant. 2014 Nov;28(11):1271-8. doi: 10.1111/ctr.12456.


Clinically useful predictors of weight gain could be used to reduce the epidemic of post-kidney transplant obesity and resulting co-morbidities. The purpose of this study was to identify predictors of weight gain at 12 months following kidney transplant in a cohort of 96 recipients. Demographic, clinical, and environmental data were obtained at transplant and 12 months. Descriptive, correlational, and Bayesian network analysis were used to identify predictors. For the 52 (55.9%) recipients who gained weight, the average amount gained was 9.18 ± 6.59 kg. From the 15 baseline factors that met inclusion criteria, Bayesian network modeling identified four baseline predictors for weight gain: younger age, higher carbohydrate consumption, higher trunk fat percentage, and higher perception of mental health quality of life. Three are modifiable through either pre- or immediate post-transplant clinical intervention programs.

Keywords: Bayesian network modeling; activity; diet; kidney transplant; obesity; weight gain.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Body Mass Index
  • Cohort Studies
  • Feeding Behavior
  • Female
  • Humans
  • Kidney Failure, Chronic / surgery*
  • Kidney Transplantation / adverse effects*
  • Male
  • Middle Aged
  • Obesity / etiology*
  • Quality of Life
  • Risk Factors
  • Weight Gain*
  • Young Adult