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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., (© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: Current measures of obesity do not accurately describe body composition. Using cross-sectional imaging, objective measures of musculature and adiposity are possible and may inform efforts to optimize liver transplantation outcomes., Methods: Abdominal visceral fat area and psoas muscle cross-sectional area were measured on CT scans for 348 liver transplant recipients. After controlling for donor and recipient characteristics, survival analysis was performed using Cox regression., Results: Visceral fat area was significantly associated with post-transplant mortality (p < 0.001; HR = 1.06 per 10 cm(2) , 95% CI: 1.04-1.09), as were positive hepatitis C status (p = 0.004; HR = 1.78, 95% CI: 1.21-2.61) and total psoas area (TPA) (p < 0.001; HR = 0.91 per cm(2) , 95% CI: 0.88-0.94). Among patients with smaller TPA, the patients with high visceral fat area had 71.8% one-yr survival compared to 81.8% for those with low visceral fat area (p = 0.15). At five yr, the smaller muscle patients with high visceral fat area had 36.9% survival compared to 58.2% for those with low visceral fat area (p = 0.023)., Conclusions: Abdominal adiposity is associated with survival after liver transplantation, especially in patients with small trunk muscle size. When coupled with trunk musculature, abdominal adiposity offers direct characterization of body composition that can aid preoperative risk evaluation and inform transplant decision-making., (© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: Body mass index does not allow accurate risk stratification for individuals undergoing component separation repair of ventral hernias. The authors hypothesized that tissue morphology measurements (morphomics) of preoperative computed tomography scans stratify the risk of surgical site infection in patients undergoing ventral hernia repair with a component separation technique., Methods: The authors identified 93 patients who underwent component release ventral hernia repair (2004 to 2012). The surgical technique involved release of the external oblique muscle lateral to the linea semilunaris. Using analytic morphomic techniques, the authors measured patients' morphology using routine preoperative computed tomography scans. Two-sample t test was used to evaluate the effect of morphomic and demographic factors on surgical-site infection. Separate logistic regression analyses were performed on these morphomic factors to evaluate their predictive value in assessing the risk of surgical site infection, controlling for demographic covariates., Results: Surgical site infections were observed in 31 percent (n = 29) of the population. Subcutaneous fat area, total body area, and total body circumference had increased odds ratios for surgical site infection (p = 0.004, 0.014, and 0.012, respectively), indicating that these measures are better associated with surgical site infection than body mass index. These calculations control for demographic covariates, confirming that these morphomic parameters are predictive of surgical site infection., Conclusion: Specific morphomic values serve as superior predictors of surgical site infection in patients undergoing component separation technique hernia repair than currently used values such as body mass index., Clinical Question/level of Evidence: Risk, III.