Format

Send to

Choose Destination
See comment in PubMed Commons below
Clin Transplant. 2017 Jun 22. doi: 10.1111/ctr.13040. [Epub ahead of print]

Using analytic morphomics to describe body composition associated with post-kidney transplantation diabetes mellitus.

Author information

1
Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.
2
Morphomic Analysis Group, University of Michigan Medical School, Ann Arbor, MI, USA.
3
Department of Surgery, Case Western Reserve University and University Hospitals Case Medical Center, Cleveland, OH, USA.
4
Department of Internal Medicine, Case Western Reserve University and University Hospitals Case Medical Center, Cleveland, OH, USA.

Abstract

BACKGROUND:

Better risk assessment tools are needed to predict post-transplantation diabetes mellitus (PTDM). Using analytic morphomic measurements from computed tomography (CT) scans, we aimed to identify specific measures of body composition associated with PTDM.

METHODS:

We retrospectively reviewed 99 non-diabetic kidney transplant recipients who received pre-transplant CT scans at a single institution between 1/2005 and 5/2014. Analytic morphomic techniques were used to measure abdominal adiposity, abdominal size, and psoas muscle area and density, standardized by gender. We measured the associations of these morphomic factors with PTDM.

RESULTS:

One-year incidence of PTDM was 18%. The morphomic factors significantly associated with PTDM included visceral fat area (OR=1.84 per standard deviation increase, P=.020), body depth (OR=1.79, P=.035), and total body area (OR=1.67, P=.049). Clinical factors significantly associated with PTDM included African American race (OR=3.01, P=.044), hypertension (OR=2.97, P=.041), and dialysis vintage (OR=1.24 per year on dialysis, P=.048). Body mass index was not associated with PTDM (OR=1.05, P=.188). On multivariate modeling, visceral fat area was an independent predictor of PTDM (OR=1.91, P=.035).

CONCLUSIONS:

Analytic morphomics can identify pre-transplant measurements of body composition that are predictive of PTDM in kidney transplant recipients. Pre-transplant imaging contains a wealth of underutilized data that may inform PTDM prevention strategies.

KEYWORDS:

analytic morphomics; body composition; diabetes; kidney transplant; new-onset diabetes after transplant; obesity; post-transplant diabetes mellitus

PMID:
28640481
DOI:
10.1111/ctr.13040
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Wiley
    Loading ...
    Support Center