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Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures

OBJECTIVE: To determine the relationship between inflammation/immune-based indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures METHODS: Retrospective analysis of a prospectively collected data on patients undergoing surgeries of tibial plateau fractures between...

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Autores principales: Liu, Dawei, Zhu, Yanbin, Chen, Wei, Li, Junyong, Zhao, Kuo, Zhang, Junzhe, Meng, Hongyu, Zhang, Yingze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331237/
https://www.ncbi.nlm.nih.gov/pubmed/32616051
http://dx.doi.org/10.1186/s13018-020-01765-9
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author Liu, Dawei
Zhu, Yanbin
Chen, Wei
Li, Junyong
Zhao, Kuo
Zhang, Junzhe
Meng, Hongyu
Zhang, Yingze
author_facet Liu, Dawei
Zhu, Yanbin
Chen, Wei
Li, Junyong
Zhao, Kuo
Zhang, Junzhe
Meng, Hongyu
Zhang, Yingze
author_sort Liu, Dawei
collection PubMed
description OBJECTIVE: To determine the relationship between inflammation/immune-based indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures METHODS: Retrospective analysis of a prospectively collected data on patients undergoing surgeries of tibial plateau fractures between October 2014 and December 2018 was performed. Duplex ultrasonography (DUS) was routinely used to screen for preoperative DVT of bilateral lower extremities. Data on biomarkers (neutrophil, lymphocyte, monocyte, and platelet counts) at admission were collected, based on which neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte/lymphocyte (MLR), and systemic immune-inflammation index (SII, neutrophil* platelet/lymphocyte) were calculated. Receiver operating characteristic (ROC) was used to determine the optimal cutoff value for each variable. Multivariate logistic regression analysis was used to evaluate the independent relationship of each biomarker or index with DVT, after adjustment for demographics, co-morbidities, and injury-related variables. RESULTS: Among 1179 patients included, 16.3% (192/1179) of them had a preoperative DVT. Four factors were identified to be significantly associated with DVT, including open fracture, increased D-dimer level. Among the biomarkers and indexes, only platelet and neutrophil were identified to be independently associated with DVT, and the significance remained after exclusion of open fracture. The other independent variables were elevated D-dimer level (> 0.55 mg/L), male gender, and hypertension in the sensitivity analysis with open fractures excluded. CONCLUSION: These identified factors are conducive to the initial screening for patients at risk of DVT, individualized risk assessment, risk stratification, and accordingly, development of targeted prevention programs.
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spelling pubmed-73312372020-07-06 Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures Liu, Dawei Zhu, Yanbin Chen, Wei Li, Junyong Zhao, Kuo Zhang, Junzhe Meng, Hongyu Zhang, Yingze J Orthop Surg Res Research Article OBJECTIVE: To determine the relationship between inflammation/immune-based indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures METHODS: Retrospective analysis of a prospectively collected data on patients undergoing surgeries of tibial plateau fractures between October 2014 and December 2018 was performed. Duplex ultrasonography (DUS) was routinely used to screen for preoperative DVT of bilateral lower extremities. Data on biomarkers (neutrophil, lymphocyte, monocyte, and platelet counts) at admission were collected, based on which neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte/lymphocyte (MLR), and systemic immune-inflammation index (SII, neutrophil* platelet/lymphocyte) were calculated. Receiver operating characteristic (ROC) was used to determine the optimal cutoff value for each variable. Multivariate logistic regression analysis was used to evaluate the independent relationship of each biomarker or index with DVT, after adjustment for demographics, co-morbidities, and injury-related variables. RESULTS: Among 1179 patients included, 16.3% (192/1179) of them had a preoperative DVT. Four factors were identified to be significantly associated with DVT, including open fracture, increased D-dimer level. Among the biomarkers and indexes, only platelet and neutrophil were identified to be independently associated with DVT, and the significance remained after exclusion of open fracture. The other independent variables were elevated D-dimer level (> 0.55 mg/L), male gender, and hypertension in the sensitivity analysis with open fractures excluded. CONCLUSION: These identified factors are conducive to the initial screening for patients at risk of DVT, individualized risk assessment, risk stratification, and accordingly, development of targeted prevention programs. BioMed Central 2020-07-02 /pmc/articles/PMC7331237/ /pubmed/32616051 http://dx.doi.org/10.1186/s13018-020-01765-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Dawei
Zhu, Yanbin
Chen, Wei
Li, Junyong
Zhao, Kuo
Zhang, Junzhe
Meng, Hongyu
Zhang, Yingze
Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures
title Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures
title_full Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures
title_fullStr Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures
title_full_unstemmed Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures
title_short Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures
title_sort relationship between the inflammation/immune indexes and deep venous thrombosis (dvt) incidence rate following tibial plateau fractures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331237/
https://www.ncbi.nlm.nih.gov/pubmed/32616051
http://dx.doi.org/10.1186/s13018-020-01765-9
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