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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Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Journal of Clinical Medicine
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Online Access:https://www.mdpi.com/2077-0383/8/4/494
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spelling 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> &lt; 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> &lt; 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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