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Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group

PURPOSE: The CoVID-TE model was developed with the aim of predicting venous thrombotic events (VTE) in cancer patients with Sars-Cov-2 infection. Moreover, it was capable of predicting hemorrhage and mortality 30 days following infection diagnosis. The model is pending validation. METHODS/PATIENTS:...

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Autores principales: Sánchez Cánovas, Manuel, Fernández Garay, David, Gómez Martínez, Francisco, Brozos Vázquez, Elena, Lobo de Mena, Miriam, García Adrián, Silvia, Pacheco-Barcía, Vilma, Cacho Lavin, Diego, Martínez de Castro, Eva, Martín Fernández de Soignie, Ana Manuela, Martínez, Elia, Rúperez Blanco, Ana Belén, García Escobar, Ignacio, Salvador Coloma, Carmen, Blaya Boluda, Noel, Guirao García, María Esperanza, Gambín Arroniz, Mariano, Muñoz Martín, Andrés J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257483/
https://www.ncbi.nlm.nih.gov/pubmed/37301805
http://dx.doi.org/10.1007/s12094-023-03233-2
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author Sánchez Cánovas, Manuel
Fernández Garay, David
Gómez Martínez, Francisco
Brozos Vázquez, Elena
Lobo de Mena, Miriam
García Adrián, Silvia
Pacheco-Barcía, Vilma
Cacho Lavin, Diego
Martínez de Castro, Eva
Martín Fernández de Soignie, Ana Manuela
Martínez, Elia
Rúperez Blanco, Ana Belén
García Escobar, Ignacio
Salvador Coloma, Carmen
Blaya Boluda, Noel
Guirao García, María Esperanza
Gambín Arroniz, Mariano
Muñoz Martín, Andrés J.
author_facet Sánchez Cánovas, Manuel
Fernández Garay, David
Gómez Martínez, Francisco
Brozos Vázquez, Elena
Lobo de Mena, Miriam
García Adrián, Silvia
Pacheco-Barcía, Vilma
Cacho Lavin, Diego
Martínez de Castro, Eva
Martín Fernández de Soignie, Ana Manuela
Martínez, Elia
Rúperez Blanco, Ana Belén
García Escobar, Ignacio
Salvador Coloma, Carmen
Blaya Boluda, Noel
Guirao García, María Esperanza
Gambín Arroniz, Mariano
Muñoz Martín, Andrés J.
author_sort Sánchez Cánovas, Manuel
collection PubMed
description PURPOSE: The CoVID-TE model was developed with the aim of predicting venous thrombotic events (VTE) in cancer patients with Sars-Cov-2 infection. Moreover, it was capable of predicting hemorrhage and mortality 30 days following infection diagnosis. The model is pending validation. METHODS/PATIENTS: Multicenter retrospective study (10 centers). Adult patients with active oncologic disease/ antineoplastic therapy with Sars-Cov-2 infection hospitalized between March 1, 2020 and March 1. 2022 were recruited. The primary endpoint was to study the association between the risk categories of the CoVID-TE model and the occurrence of thrombosis using the Chi-Square test. Secondary endpoints were to demonstrate the association between these categories and the occurrence of post-diagnostic Sars-Cov-2 bleeding/ death events. The Kaplan–Meier method was also used to compare mortality by stratification. RESULTS: 263 patients were enrolled. 59.3% were men with a median age of 67 years. 73.8% had stage IV disease and lung cancer was the most prevalent tumor (24%). A total of 86.7% had an ECOG 0–2 and 77.9% were receiving active antineoplastic therapy. After a median follow-up of 6.83 months, the incidence of VTE, bleeding, and death 90 days after Sars-Cov-2 diagnosis in the low-risk group was 3.9% (95% CI 1.9–7.9), 4.5% (95% CI 2.3–8.6), and 52.5% (95% CI 45.2–59.7), respectively. For the high-risk group it was 6% (95% CI 2.6–13.2), 9.6% (95% CI 5.0–17.9), and 58.0% (95% CI 45.3–66.1). The Chi-square test for trends detected no statistically significant association between these variables (p > 0.05). Median survival in the low-risk group was 10.15 months (95% CI 3.84–16.46), while in the high-risk group it was 3.68 months (95% CI 0.0–7.79). The differences detected were not statistically significant (p = 0.375). CONCLUSIONS: The data from our series does not validate of the CoVID-TE as a model to predict thrombosis, hemorrhage, or mortality in cancer patients with Sars-Cov-2 infection.
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spelling pubmed-102574832023-06-12 Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group Sánchez Cánovas, Manuel Fernández Garay, David Gómez Martínez, Francisco Brozos Vázquez, Elena Lobo de Mena, Miriam García Adrián, Silvia Pacheco-Barcía, Vilma Cacho Lavin, Diego Martínez de Castro, Eva Martín Fernández de Soignie, Ana Manuela Martínez, Elia Rúperez Blanco, Ana Belén García Escobar, Ignacio Salvador Coloma, Carmen Blaya Boluda, Noel Guirao García, María Esperanza Gambín Arroniz, Mariano Muñoz Martín, Andrés J. Clin Transl Oncol Research Article PURPOSE: The CoVID-TE model was developed with the aim of predicting venous thrombotic events (VTE) in cancer patients with Sars-Cov-2 infection. Moreover, it was capable of predicting hemorrhage and mortality 30 days following infection diagnosis. The model is pending validation. METHODS/PATIENTS: Multicenter retrospective study (10 centers). Adult patients with active oncologic disease/ antineoplastic therapy with Sars-Cov-2 infection hospitalized between March 1, 2020 and March 1. 2022 were recruited. The primary endpoint was to study the association between the risk categories of the CoVID-TE model and the occurrence of thrombosis using the Chi-Square test. Secondary endpoints were to demonstrate the association between these categories and the occurrence of post-diagnostic Sars-Cov-2 bleeding/ death events. The Kaplan–Meier method was also used to compare mortality by stratification. RESULTS: 263 patients were enrolled. 59.3% were men with a median age of 67 years. 73.8% had stage IV disease and lung cancer was the most prevalent tumor (24%). A total of 86.7% had an ECOG 0–2 and 77.9% were receiving active antineoplastic therapy. After a median follow-up of 6.83 months, the incidence of VTE, bleeding, and death 90 days after Sars-Cov-2 diagnosis in the low-risk group was 3.9% (95% CI 1.9–7.9), 4.5% (95% CI 2.3–8.6), and 52.5% (95% CI 45.2–59.7), respectively. For the high-risk group it was 6% (95% CI 2.6–13.2), 9.6% (95% CI 5.0–17.9), and 58.0% (95% CI 45.3–66.1). The Chi-square test for trends detected no statistically significant association between these variables (p > 0.05). Median survival in the low-risk group was 10.15 months (95% CI 3.84–16.46), while in the high-risk group it was 3.68 months (95% CI 0.0–7.79). The differences detected were not statistically significant (p = 0.375). CONCLUSIONS: The data from our series does not validate of the CoVID-TE as a model to predict thrombosis, hemorrhage, or mortality in cancer patients with Sars-Cov-2 infection. Springer International Publishing 2023-06-10 /pmc/articles/PMC10257483/ /pubmed/37301805 http://dx.doi.org/10.1007/s12094-023-03233-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access 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, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Sánchez Cánovas, Manuel
Fernández Garay, David
Gómez Martínez, Francisco
Brozos Vázquez, Elena
Lobo de Mena, Miriam
García Adrián, Silvia
Pacheco-Barcía, Vilma
Cacho Lavin, Diego
Martínez de Castro, Eva
Martín Fernández de Soignie, Ana Manuela
Martínez, Elia
Rúperez Blanco, Ana Belén
García Escobar, Ignacio
Salvador Coloma, Carmen
Blaya Boluda, Noel
Guirao García, María Esperanza
Gambín Arroniz, Mariano
Muñoz Martín, Andrés J.
Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group
title Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group
title_full Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group
title_fullStr Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group
title_full_unstemmed Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group
title_short Validation of the CoVID-TE model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with Sars-Cov-2 infection: a study by the SEOM cancer and thrombosis group
title_sort validation of the covid-te model as a tool to predict thrombosis, bleeding, and mortality in the oncology patient with sars-cov-2 infection: a study by the seom cancer and thrombosis group
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257483/
https://www.ncbi.nlm.nih.gov/pubmed/37301805
http://dx.doi.org/10.1007/s12094-023-03233-2
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