A high visceral-to-subcutaneous fat ratio is an independent predictor of surgical site infection after gastrectomy

Jung Ho Kim, Jinnam Kim, Woon Ji Lee, Hye Seong, Heun Choi, Jin Young Ahn, Su Jin Jeong, Nam Su Ku, Taeil Son, Hyoung Il Kim, Sang Hoon Han, Jun Yong Choi, Joon Sup Yeom, Woo Jin Hyung, Young Goo Song, Sung Hoon Noh

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9 Citations (Scopus)


Recent studies have shown that body composition is an important factor that affects surgical site infection (SSI). However, each study has utilized different body composition criteria. Therefore, in this study, we aim to determine the most predictable body composition criteria for the prediction of SSI after gastrectomy. The visceral fat area (VFA), subcutaneous fat area (SFA), and muscle area were assessed by a preoperative-stage computed tomographic (CT) scan. To compare the predictive performance of body composition for SSI, logistic regression models were used, and the models were compared using the receiver operation characteristic (ROC) curve and the area under the curve (AUC) value. Of the 1038 eligible patients, 58 patients (5.6%) developed SSI. The VFA-to-SFA ratio showed the best predictive performance (mean AUC 75.11). The cutoff value for the SSI of the VFA-to-SFA ratio was 0.94, and the sensitivity and specificity were 67.86% and 77.65%, respectively. A multivariate logistic analysis indicated that a total gastrectomy (OR, 2.13; p = 0.017), stage III or IV cancer (OR, 2.66; p = 0.003), and a high VFA-to-SFA ratio (OR, 8.09; p < 0.001) were independent risk factors for SSI after gastrectomy. The VFA-to-SFA ratio is the most predictable body composition model for use in predicting the incidence of SSI after gastrectomy.

Original languageEnglish
Article number494
JournalJournal of Clinical Medicine
Issue number4
Publication statusPublished - 2019 Apr

Bibliographical note

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© 2019 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Medicine(all)


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