A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy
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...
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doaj-281e211d44b94bf1ac82852f4975eb2c2020-11-24T21:44:24ZengMDPI AGJournal of Clinical Medicine2077-03832019-04-018449410.3390/jcm8040494jcm8040494A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after GastrectomyJung Ho Kim0Jinnam Kim1Woon Ji Lee2Hye Seong3Heun Choi4Jin Young Ahn5Su Jin Jeong6Nam Su Ku7Taeil Son8Hyoung-Il Kim9Sang Hoon Han10Jun Yong Choi11Joon-Sup Yeom12Woo Jin Hyung13Young Goo Song14Sung Hoon Noh15Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, KoreaDepartment of Surgery, Yonsei University College of Medicine, Seoul 03722, KoreaRecent 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; <i>p</i> = 0.017), stage III or IV cancer (OR, 2.66; <i>p</i> = 0.003), and a high VFA-to-SFA ratio (OR, 8.09; <i>p</i> < 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.https://www.mdpi.com/2077-0383/8/4/494surgical site infectiongastric cancergastrectomybody compositionvisceral-to-subcutaneous fat ratiorisk factorsoutcomes |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
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 |
spellingShingle |
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 A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy Journal of Clinical Medicine surgical site infection gastric cancer gastrectomy body composition visceral-to-subcutaneous fat ratio risk factors outcomes |
author_facet |
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 |
author_sort |
Jung Ho Kim |
title |
A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy |
title_short |
A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy |
title_full |
A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy |
title_fullStr |
A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy |
title_full_unstemmed |
A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy |
title_sort |
high visceral-to-subcutaneous fat ratio is an independent predictor of surgical site infection after gastrectomy |
publisher |
MDPI AG |
series |
Journal of Clinical Medicine |
issn |
2077-0383 |
publishDate |
2019-04-01 |
description |
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; <i>p</i> = 0.017), stage III or IV cancer (OR, 2.66; <i>p</i> = 0.003), and a high VFA-to-SFA ratio (OR, 8.09; <i>p</i> < 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. |
topic |
surgical site infection gastric cancer gastrectomy body composition visceral-to-subcutaneous fat ratio risk factors outcomes |
url |
https://www.mdpi.com/2077-0383/8/4/494 |
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