Cargando…
Neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy
BACKGROUND: Deep surgical site infections (DSSIs) are serious complications after laparotomy. Neutrophil extracellular traps (NETs) play a vital role in the development of DSSI. Here, we focused on a new approach to predicting the occurrence of DSSI through the detection of the NET formation index (...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506538/ https://www.ncbi.nlm.nih.gov/pubmed/34733925 http://dx.doi.org/10.21037/atm-21-1078 |
_version_ | 1784581721666093056 |
---|---|
author | Duan, Zehua Sun, Shilong Qu, Cheng Wang, Kai Chen, Fang Wang, Xinyu Chu, Chengnan Liu, Baochen Li, Jieshou Ding, Weiwei |
author_facet | Duan, Zehua Sun, Shilong Qu, Cheng Wang, Kai Chen, Fang Wang, Xinyu Chu, Chengnan Liu, Baochen Li, Jieshou Ding, Weiwei |
author_sort | Duan, Zehua |
collection | PubMed |
description | BACKGROUND: Deep surgical site infections (DSSIs) are serious complications after laparotomy. Neutrophil extracellular traps (NETs) play a vital role in the development of DSSI. Here, we focused on a new approach to predicting the occurrence of DSSI through the detection of the NET formation index (NFI), and compared its prediction ability with other clinical infection indicators. METHODS: Patients who received laparotomy were prospectively enrolled in this study. General information, APACHE II score, SOFA score, and serum infection indicators were recorded. The postoperative abdominal drainage fluid was collected within 3 days after the operation for quantification of the NFI. RESULTS: A total of 92 consecutive patients were included, with 22 patients were diagnosed with DSSI. The NFI in the DSSI group was 32.70%±19.33% while the corresponding index was 10.70%±8.25% in the non-DSSI group (P<0.01). The mean APACHE II and SOFA score had significant differences between the two groups. The NFI was positively correlated with the APACHE II score (P<0.01, r=0.269) and SOFA score (P=0.013, r=0.258). Patients with a high NFI (NFI >13.86%) had a higher risk of developing DSSI. According to the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC) of the NFI, C-reactive protein (CRP) and procalcitonin (PCT) were 0.912, 0.748 and 0.731, respectively. CONCLUSIONS: In this cohort of surgical patients, the quantification of the NFI had a considerable predictive value for early identification of DSSI. The NFI in drainage fluid turned out to be a more sensitive and specific predictor of DSSI than serum infection indicators including CRP and PCT. |
format | Online Article Text |
id | pubmed-8506538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-85065382021-11-02 Neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy Duan, Zehua Sun, Shilong Qu, Cheng Wang, Kai Chen, Fang Wang, Xinyu Chu, Chengnan Liu, Baochen Li, Jieshou Ding, Weiwei Ann Transl Med Original Article BACKGROUND: Deep surgical site infections (DSSIs) are serious complications after laparotomy. Neutrophil extracellular traps (NETs) play a vital role in the development of DSSI. Here, we focused on a new approach to predicting the occurrence of DSSI through the detection of the NET formation index (NFI), and compared its prediction ability with other clinical infection indicators. METHODS: Patients who received laparotomy were prospectively enrolled in this study. General information, APACHE II score, SOFA score, and serum infection indicators were recorded. The postoperative abdominal drainage fluid was collected within 3 days after the operation for quantification of the NFI. RESULTS: A total of 92 consecutive patients were included, with 22 patients were diagnosed with DSSI. The NFI in the DSSI group was 32.70%±19.33% while the corresponding index was 10.70%±8.25% in the non-DSSI group (P<0.01). The mean APACHE II and SOFA score had significant differences between the two groups. The NFI was positively correlated with the APACHE II score (P<0.01, r=0.269) and SOFA score (P=0.013, r=0.258). Patients with a high NFI (NFI >13.86%) had a higher risk of developing DSSI. According to the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC) of the NFI, C-reactive protein (CRP) and procalcitonin (PCT) were 0.912, 0.748 and 0.731, respectively. CONCLUSIONS: In this cohort of surgical patients, the quantification of the NFI had a considerable predictive value for early identification of DSSI. The NFI in drainage fluid turned out to be a more sensitive and specific predictor of DSSI than serum infection indicators including CRP and PCT. AME Publishing Company 2021-09 /pmc/articles/PMC8506538/ /pubmed/34733925 http://dx.doi.org/10.21037/atm-21-1078 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Duan, Zehua Sun, Shilong Qu, Cheng Wang, Kai Chen, Fang Wang, Xinyu Chu, Chengnan Liu, Baochen Li, Jieshou Ding, Weiwei Neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy |
title | Neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy |
title_full | Neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy |
title_fullStr | Neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy |
title_full_unstemmed | Neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy |
title_short | Neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy |
title_sort | neutrophil extracellular trap formation index predicts occurrences of deep surgical site infection after laparotomy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8506538/ https://www.ncbi.nlm.nih.gov/pubmed/34733925 http://dx.doi.org/10.21037/atm-21-1078 |
work_keys_str_mv | AT duanzehua neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT sunshilong neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT qucheng neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT wangkai neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT chenfang neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT wangxinyu neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT chuchengnan neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT liubaochen neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT lijieshou neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy AT dingweiwei neutrophilextracellulartrapformationindexpredictsoccurrencesofdeepsurgicalsiteinfectionafterlaparotomy |