Abstract

250 Background: Testicular germ cell tumor survivors (TGCTSs) contend with treatment side effects for decades after cure, and many have metabolic syndrome (MTS), a modifiable cardiometabolic risk factor. Because reliably predicting MTS could prompt interventionreducing risk, we analyzed clinical data and body composition in computed tomography (CT) scans to identify associations. Methods: In a retrospective review of 196 TGCTSs treated at a single institution from 1970 to 2007, we collected patient (pt) demographics, clinical data, body fat composition measures, and evidence from CT scans from baseline through posttreatment. NIH Image J was used to analyze cross-sectional CT images and measured subcutaneous adipose tissue, visceral adipose tissue, and skeletal muscle. Visceral fat-to-muscle ratio (VMR), visceral-to-subcutaneous fat ratio (VSR), and change in VMR and VSR from baseline to 3 to 5 years posttreatment (ΔVMR and ΔVSR) were calculated. We also gathered posttreatment glucose, blood pressure, lipid data, and body weight and height measured at time of scans. The 2001 U.S. National Cholesterol Education Program Adult Treatment Panel III guideline defined MTS. Univariate and multivariate logistic regression analyses identified associations. Results: Of the 167 pts included in the final analysis, 37.7% had MTS, 76.6% were white, and 68.9% had chemotherapy. Pts with MTS had significantly higher VMRs (p = .007) and VSRs (p = .021) than those without. Pts receiving chemotherapy and radiotherapy were significantly more likely to have MTS (p = .044 and p = .037). A multinomial logistic regression model including year of diagnosis, age, race, tumor histology, treatment, VSR, and VMR identified the association of high VMR and VSR with MTS; ΔVMR and ΔVSR were not statistically significant predictors. Conclusions: Body composition analyses identified VMR and VSR as significant predictors of MTS.

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