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Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection

BACKGROUND: The inflammatory response plays a critical role in postoperative nosocomial infections, which are the most common postoperative complications causing adverse events and poor postoperative outcomes. This study aimed to explore the ability of early inflammation-related factor levels to pre...

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Autores principales: Yu, Qingwei, Cen, Chaoqun, Gao, Min, Yuan, Hong, Liu, Jingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589414/
https://www.ncbi.nlm.nih.gov/pubmed/36299462
http://dx.doi.org/10.3389/fendo.2022.1019667
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author Yu, Qingwei
Cen, Chaoqun
Gao, Min
Yuan, Hong
Liu, Jingjing
author_facet Yu, Qingwei
Cen, Chaoqun
Gao, Min
Yuan, Hong
Liu, Jingjing
author_sort Yu, Qingwei
collection PubMed
description BACKGROUND: The inflammatory response plays a critical role in postoperative nosocomial infections, which are the most common postoperative complications causing adverse events and poor postoperative outcomes. This study aimed to explore the ability of early inflammation-related factor levels to predict the occurrence of nosocomial infections after abdominal surgery. METHODS: The study included 146 patients with open abdominal surgery (a nosocomial infection group (NI group, n=42) and a no-nosocomial infection group (NNI group, n=104)). After 1:1 matching, the patients were divided into a matching nosocomial infection group (M-NI group, n=25) and a matching no-nosocomial infection group (M-NNI group, n=25). Serum levels of interleukin (IL)-6, IL-8, IL-10, IL-12, IL-18, macrophage migration inhibitory factor (MIF), and monocyte chemotactic protein (MCP-1) were tested at three time points (pre-operation, 0-hour post-operation (POD1) and 24-hour post-operation (POD2)). The area under the receiver operating characteristic curve (AUC-ROC) was used to test the predictive abilities. RESULTS: There were significant differences in the levels of IL-6, IL-12, and IL-18 between the M-NI and M-NNI groups (p < 0.05), but not in the levels of other inflammatory factors. MIF, IL-8, and MCP-1 levels were higher in the M-NI group than in the M-NNI group at POD2 (p < 0.05). In the ROC analysis, the AUC for prediction of nosocomial infection using a combination of IL-6 and IL-18 at POD1 was 0.9616, while the AUCs for IL-6 alone and IL-12 alone were 0.8584 and 0.8256, respectively. CONCLUSIONS: The combination of the levels of inflammatory factors, IL-6 and IL-18, at the 0-hour postoperative time point, significantly improved the predictive ability to the development of postoperative infection during perioperative period. Our study suggests the importance of monitoring postoperative inflammatory markers.
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spelling pubmed-95894142022-10-25 Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection Yu, Qingwei Cen, Chaoqun Gao, Min Yuan, Hong Liu, Jingjing Front Endocrinol (Lausanne) Endocrinology BACKGROUND: The inflammatory response plays a critical role in postoperative nosocomial infections, which are the most common postoperative complications causing adverse events and poor postoperative outcomes. This study aimed to explore the ability of early inflammation-related factor levels to predict the occurrence of nosocomial infections after abdominal surgery. METHODS: The study included 146 patients with open abdominal surgery (a nosocomial infection group (NI group, n=42) and a no-nosocomial infection group (NNI group, n=104)). After 1:1 matching, the patients were divided into a matching nosocomial infection group (M-NI group, n=25) and a matching no-nosocomial infection group (M-NNI group, n=25). Serum levels of interleukin (IL)-6, IL-8, IL-10, IL-12, IL-18, macrophage migration inhibitory factor (MIF), and monocyte chemotactic protein (MCP-1) were tested at three time points (pre-operation, 0-hour post-operation (POD1) and 24-hour post-operation (POD2)). The area under the receiver operating characteristic curve (AUC-ROC) was used to test the predictive abilities. RESULTS: There were significant differences in the levels of IL-6, IL-12, and IL-18 between the M-NI and M-NNI groups (p < 0.05), but not in the levels of other inflammatory factors. MIF, IL-8, and MCP-1 levels were higher in the M-NI group than in the M-NNI group at POD2 (p < 0.05). In the ROC analysis, the AUC for prediction of nosocomial infection using a combination of IL-6 and IL-18 at POD1 was 0.9616, while the AUCs for IL-6 alone and IL-12 alone were 0.8584 and 0.8256, respectively. CONCLUSIONS: The combination of the levels of inflammatory factors, IL-6 and IL-18, at the 0-hour postoperative time point, significantly improved the predictive ability to the development of postoperative infection during perioperative period. Our study suggests the importance of monitoring postoperative inflammatory markers. Frontiers Media S.A. 2022-10-10 /pmc/articles/PMC9589414/ /pubmed/36299462 http://dx.doi.org/10.3389/fendo.2022.1019667 Text en Copyright © 2022 Yu, Cen, Gao, Yuan and Liu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Yu, Qingwei
Cen, Chaoqun
Gao, Min
Yuan, Hong
Liu, Jingjing
Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection
title Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection
title_full Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection
title_fullStr Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection
title_full_unstemmed Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection
title_short Combination of early Interleukin-6 and -18 levels predicts postoperative nosocomial infection
title_sort combination of early interleukin-6 and -18 levels predicts postoperative nosocomial infection
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589414/
https://www.ncbi.nlm.nih.gov/pubmed/36299462
http://dx.doi.org/10.3389/fendo.2022.1019667
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