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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518224/ https://www.ncbi.nlm.nih.gov/pubmed/30979055 http://dx.doi.org/10.3390/jcm8040494 |
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author | Kim, Jung Ho Kim, Jinnam Lee, Woon Ji Seong, Hye Choi, Heun Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Son, Taeil Kim, Hyoung-Il Han, Sang Hoon Choi, Jun Yong Yeom, Joon-Sup Hyung, Woo Jin Song, Young Goo Noh, Sung Hoon |
author_facet | Kim, Jung Ho Kim, Jinnam Lee, Woon Ji Seong, Hye Choi, Heun Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Son, Taeil Kim, Hyoung-Il Han, Sang Hoon Choi, Jun Yong Yeom, Joon-Sup Hyung, Woo Jin Song, Young Goo Noh, Sung Hoon |
author_sort | Kim, Jung Ho |
collection | PubMed |
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; 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. |
format | Online Article Text |
id | pubmed-6518224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65182242019-05-31 A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy Kim, Jung Ho Kim, Jinnam Lee, Woon Ji Seong, Hye Choi, Heun Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Son, Taeil Kim, Hyoung-Il Han, Sang Hoon Choi, Jun Yong Yeom, Joon-Sup Hyung, Woo Jin Song, Young Goo Noh, Sung Hoon J Clin Med Article 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. MDPI 2019-04-11 /pmc/articles/PMC6518224/ /pubmed/30979055 http://dx.doi.org/10.3390/jcm8040494 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Jung Ho Kim, Jinnam Lee, Woon Ji Seong, Hye Choi, Heun Ahn, Jin Young Jeong, Su Jin Ku, Nam Su Son, Taeil Kim, Hyoung-Il Han, Sang Hoon Choi, Jun Yong Yeom, Joon-Sup Hyung, Woo Jin Song, Young Goo Noh, Sung Hoon A High Visceral-To-Subcutaneous Fat Ratio is an Independent Predictor of Surgical Site Infection after Gastrectomy |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518224/ https://www.ncbi.nlm.nih.gov/pubmed/30979055 http://dx.doi.org/10.3390/jcm8040494 |
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