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Immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients

BACKGROUND: Lymphomas are characterized by elevated synthesis of inflammatory soluble mediators that could trigger the development of venous thromboembolism (VTE). However, data on the relationship between specific immune dysregulation and VTE occurrence in patients with lymphoma are scarce. Therefo...

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Autores principales: Otasevic, Vladimir, Mihaljevic, Biljana, Milic, Natasa, Stanisavljevic, Dejana, Vukovic, Vojin, Tomic, Kristina, Fareed, Jawed, Antic, Darko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016935/
https://www.ncbi.nlm.nih.gov/pubmed/35439998
http://dx.doi.org/10.1186/s12959-022-00381-3
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author Otasevic, Vladimir
Mihaljevic, Biljana
Milic, Natasa
Stanisavljevic, Dejana
Vukovic, Vojin
Tomic, Kristina
Fareed, Jawed
Antic, Darko
author_facet Otasevic, Vladimir
Mihaljevic, Biljana
Milic, Natasa
Stanisavljevic, Dejana
Vukovic, Vojin
Tomic, Kristina
Fareed, Jawed
Antic, Darko
author_sort Otasevic, Vladimir
collection PubMed
description BACKGROUND: Lymphomas are characterized by elevated synthesis of inflammatory soluble mediators that could trigger the development of venous thromboembolism (VTE). However, data on the relationship between specific immune dysregulation and VTE occurrence in patients with lymphoma are scarce. Therefore, this study aimed to assess the association between inflammatory markers and the risk of VTE development in patients with lymphoma. METHODS: The erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lactate dehydrogenase (LDH), total protein (TP), and albumin were assessed in 706 patients with newly diagnosed or relapsed lymphoma. Data were collected for all VTE events, while the diagnosis of VTE was established objectively based on radiographic studies. ROC (receiver operating characteristic) curve analysis was performed to define the optimal cutoff values for predicting VTE. RESULTS: The majority of patients was diagnosed with aggressive non-Hodgkin lymphoma (58.8%) and had advanced stage disease (59.9%). Sixty-nine patients (9.8%) developed VTE. The NLR, PLR, ESR, CRP, and LDH were significantly higher in the patients with lymphoma with VTE, whereas the TP and albumin were significantly lower in those patients. Using the univariate regression analysis, the NLR, PLR, TP, albumin, LDH, and CRP were prognostic factors for VTE development. In the multivariate regression model, the NLR and CRP were independent prognostic factors for VTE development. ROC curve analysis demonstrated acceptable specificity and sensitivity of the parameters: NLR, PLR, and CRP for predicting VTE. CONCLUSION: Inflammatory dysregulation plays an important role in VTE development in patients with lymphoma. Widely accessible, simple inflammatory parameters can classify patients with lymphoma at risk of VTE development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12959-022-00381-3.
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spelling pubmed-90169352022-04-20 Immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients Otasevic, Vladimir Mihaljevic, Biljana Milic, Natasa Stanisavljevic, Dejana Vukovic, Vojin Tomic, Kristina Fareed, Jawed Antic, Darko Thromb J Research BACKGROUND: Lymphomas are characterized by elevated synthesis of inflammatory soluble mediators that could trigger the development of venous thromboembolism (VTE). However, data on the relationship between specific immune dysregulation and VTE occurrence in patients with lymphoma are scarce. Therefore, this study aimed to assess the association between inflammatory markers and the risk of VTE development in patients with lymphoma. METHODS: The erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lactate dehydrogenase (LDH), total protein (TP), and albumin were assessed in 706 patients with newly diagnosed or relapsed lymphoma. Data were collected for all VTE events, while the diagnosis of VTE was established objectively based on radiographic studies. ROC (receiver operating characteristic) curve analysis was performed to define the optimal cutoff values for predicting VTE. RESULTS: The majority of patients was diagnosed with aggressive non-Hodgkin lymphoma (58.8%) and had advanced stage disease (59.9%). Sixty-nine patients (9.8%) developed VTE. The NLR, PLR, ESR, CRP, and LDH were significantly higher in the patients with lymphoma with VTE, whereas the TP and albumin were significantly lower in those patients. Using the univariate regression analysis, the NLR, PLR, TP, albumin, LDH, and CRP were prognostic factors for VTE development. In the multivariate regression model, the NLR and CRP were independent prognostic factors for VTE development. ROC curve analysis demonstrated acceptable specificity and sensitivity of the parameters: NLR, PLR, and CRP for predicting VTE. CONCLUSION: Inflammatory dysregulation plays an important role in VTE development in patients with lymphoma. Widely accessible, simple inflammatory parameters can classify patients with lymphoma at risk of VTE development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12959-022-00381-3. BioMed Central 2022-04-19 /pmc/articles/PMC9016935/ /pubmed/35439998 http://dx.doi.org/10.1186/s12959-022-00381-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This 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, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Otasevic, Vladimir
Mihaljevic, Biljana
Milic, Natasa
Stanisavljevic, Dejana
Vukovic, Vojin
Tomic, Kristina
Fareed, Jawed
Antic, Darko
Immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients
title Immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients
title_full Immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients
title_fullStr Immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients
title_full_unstemmed Immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients
title_short Immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients
title_sort immune activation and inflammatory biomarkers as predictors of venous thromboembolism in lymphoma patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016935/
https://www.ncbi.nlm.nih.gov/pubmed/35439998
http://dx.doi.org/10.1186/s12959-022-00381-3
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