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Predictive Factors of Surgical Site Infection Following Cranioplasty: A Study Including 3D Printed Implants
In patients who have undergone decompressive craniectomy (DC), subsequent cranioplasty is required to reconstruct cranial defects. Surgical site infection (SSI) following cranioplasty is a devastating complication that can lead to cranioplasty failure. The aim of the present study, therefore, was to...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592932/ https://www.ncbi.nlm.nih.gov/pubmed/34795630 http://dx.doi.org/10.3389/fneur.2021.745575 |
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author | Kim, Myung Ji Lee, Hae-Bin Ha, Sung-Kon Lim, Dong-Jun Kim, Sang-Dae |
author_facet | Kim, Myung Ji Lee, Hae-Bin Ha, Sung-Kon Lim, Dong-Jun Kim, Sang-Dae |
author_sort | Kim, Myung Ji |
collection | PubMed |
description | In patients who have undergone decompressive craniectomy (DC), subsequent cranioplasty is required to reconstruct cranial defects. Surgical site infection (SSI) following cranioplasty is a devastating complication that can lead to cranioplasty failure. The aim of the present study, therefore, was to identify predictive factors for SSI following cranioplasty by reviewing procedures performed over a 10-year period. A retrospective analysis was performed for all patients who underwent cranioplasty following DC between 2010 and 2020 at a single institution. The patients were divided into two groups, non-SSI and SSI, in order to identify clinical variables that are significantly correlated with SSI following cranioplasty. Cox proportional hazards regression analyses were then performed to identify predictive factors associated with SSI following cranioplasty. A total of 172 patients who underwent cranioplasty, including 48 who received customized three-dimensional (3D) printed implants, were enrolled in the present study. SSI occurred in 17 patients (9.9%). Statistically significant differences were detected between the non-SSI and SSI groups with respect to presence of fluid collections on CT scans before and after cranioplasty. Presence of fluid collections on computed tomography (CT) scan before (p = 0.0114) and after cranioplasty (p < 0.0000) showed significant association with event-free survival rate for SSI. In a univariate analysis, significant predictors for SSI were fluid collection before (p = 0.0172) and after (p < 0.0001) cranioplasty. In a multivariate analysis, only the presence of fluid collection after cranioplasty was significantly associated with the occurrence of SSI (p < 0.0001). The present study investigated predictive factors that may help identify patients at risk of SSI following cranioplasty and provide guidelines associated with the procedure. Based on the results of the present study, only the presence of fluid collection on CT scan after cranioplasty was significantly associated with the occurrence of SSI. Further investigation with long-term follow-up and large-scale prospective studies are needed to confirm our conclusions. |
format | Online Article Text |
id | pubmed-8592932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85929322021-11-17 Predictive Factors of Surgical Site Infection Following Cranioplasty: A Study Including 3D Printed Implants Kim, Myung Ji Lee, Hae-Bin Ha, Sung-Kon Lim, Dong-Jun Kim, Sang-Dae Front Neurol Neurology In patients who have undergone decompressive craniectomy (DC), subsequent cranioplasty is required to reconstruct cranial defects. Surgical site infection (SSI) following cranioplasty is a devastating complication that can lead to cranioplasty failure. The aim of the present study, therefore, was to identify predictive factors for SSI following cranioplasty by reviewing procedures performed over a 10-year period. A retrospective analysis was performed for all patients who underwent cranioplasty following DC between 2010 and 2020 at a single institution. The patients were divided into two groups, non-SSI and SSI, in order to identify clinical variables that are significantly correlated with SSI following cranioplasty. Cox proportional hazards regression analyses were then performed to identify predictive factors associated with SSI following cranioplasty. A total of 172 patients who underwent cranioplasty, including 48 who received customized three-dimensional (3D) printed implants, were enrolled in the present study. SSI occurred in 17 patients (9.9%). Statistically significant differences were detected between the non-SSI and SSI groups with respect to presence of fluid collections on CT scans before and after cranioplasty. Presence of fluid collections on computed tomography (CT) scan before (p = 0.0114) and after cranioplasty (p < 0.0000) showed significant association with event-free survival rate for SSI. In a univariate analysis, significant predictors for SSI were fluid collection before (p = 0.0172) and after (p < 0.0001) cranioplasty. In a multivariate analysis, only the presence of fluid collection after cranioplasty was significantly associated with the occurrence of SSI (p < 0.0001). The present study investigated predictive factors that may help identify patients at risk of SSI following cranioplasty and provide guidelines associated with the procedure. Based on the results of the present study, only the presence of fluid collection on CT scan after cranioplasty was significantly associated with the occurrence of SSI. Further investigation with long-term follow-up and large-scale prospective studies are needed to confirm our conclusions. Frontiers Media S.A. 2021-11-02 /pmc/articles/PMC8592932/ /pubmed/34795630 http://dx.doi.org/10.3389/fneur.2021.745575 Text en Copyright © 2021 Kim, Lee, Ha, Lim and Kim. 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 | Neurology Kim, Myung Ji Lee, Hae-Bin Ha, Sung-Kon Lim, Dong-Jun Kim, Sang-Dae Predictive Factors of Surgical Site Infection Following Cranioplasty: A Study Including 3D Printed Implants |
title | Predictive Factors of Surgical Site Infection Following Cranioplasty: A Study Including 3D Printed Implants |
title_full | Predictive Factors of Surgical Site Infection Following Cranioplasty: A Study Including 3D Printed Implants |
title_fullStr | Predictive Factors of Surgical Site Infection Following Cranioplasty: A Study Including 3D Printed Implants |
title_full_unstemmed | Predictive Factors of Surgical Site Infection Following Cranioplasty: A Study Including 3D Printed Implants |
title_short | Predictive Factors of Surgical Site Infection Following Cranioplasty: A Study Including 3D Printed Implants |
title_sort | predictive factors of surgical site infection following cranioplasty: a study including 3d printed implants |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592932/ https://www.ncbi.nlm.nih.gov/pubmed/34795630 http://dx.doi.org/10.3389/fneur.2021.745575 |
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