Cargando…
The Application of the ThroLy Risk Assessment Model to Predict Venous Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma
BACKGROUND: Patients with aggressive lymphomas are at higher risk for venous thromboembolism (VTE). ThroLy is a risk assessment model (RAM) derived to predict the occurrence of VTE in various types of lymphomas. In this study, we assess the clinical application of ThroLy RAM in a unified group of pa...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642105/ https://www.ncbi.nlm.nih.gov/pubmed/34590497 http://dx.doi.org/10.1177/10760296211045908 |
_version_ | 1784609619162693632 |
---|---|
author | Abdel-Razeq, Hikmat Ma’koseh, Mohammad Mansour, Asem Bater, Rayan Amarin, Rula Abufara, Alaa Halahleh, Khalid Manassra, Mohammad Alrwashdeh, Mohammad Almomani, Mohammad Zmaily, Mais |
author_facet | Abdel-Razeq, Hikmat Ma’koseh, Mohammad Mansour, Asem Bater, Rayan Amarin, Rula Abufara, Alaa Halahleh, Khalid Manassra, Mohammad Alrwashdeh, Mohammad Almomani, Mohammad Zmaily, Mais |
author_sort | Abdel-Razeq, Hikmat |
collection | PubMed |
description | BACKGROUND: Patients with aggressive lymphomas are at higher risk for venous thromboembolism (VTE). ThroLy is a risk assessment model (RAM) derived to predict the occurrence of VTE in various types of lymphomas. In this study, we assess the clinical application of ThroLy RAM in a unified group of patients with diffuse large B-cell lymphoma (DLBCL). METHODS: Hospital databases were searched for patients with DLBCL and radiologically-confirmed VTE. Items in the ThroLy RAM, including prior VTE, reduced mobility, obesity, extranodal disease, mediastinal involvement, neutropenia and hemoglobin < 10.0 g/dL, were retrospectively reviewed. RESULTS: A total of 524 patients, median age 49 (range: 18-90) years were included. Patients had high disease burden; 57.3% with stage III/IV and 34.0% with bulky disease. All were treated on unified guidelines; 63 (12.0%) had primary refractory disease. Venous thromboembolic events were reported in 71 (13.5%) patients. Among 121 patients with high (> 3) ThroLy score, 22.3% developed VTE compared to 8.4% and 12.4% in those with low and intermediate risk scores, respectively (P = .014). Simplifying the ThroLy model into two risk groups; high-risk (score ≥ 3) and low risk (score < 3) can still segregate patients; VTE developed in 44 (17.2%) high-risk patients (n = 256) compared to 27 (10.1%) in the low-risk group (n = 268), P = .038. Neutropenia, a component of the ThroLy, was encountered in only 14 (2.7%) patients. CONCLUSIONS: ThroLy RAM can identify patients with DLBCL at high risk for VTE. Model can be modified by dividing patients into two, rather than three risk groups, and further simplified by omitting neutropenia. |
format | Online Article Text |
id | pubmed-8642105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-86421052021-12-04 The Application of the ThroLy Risk Assessment Model to Predict Venous Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma Abdel-Razeq, Hikmat Ma’koseh, Mohammad Mansour, Asem Bater, Rayan Amarin, Rula Abufara, Alaa Halahleh, Khalid Manassra, Mohammad Alrwashdeh, Mohammad Almomani, Mohammad Zmaily, Mais Clin Appl Thromb Hemost Original Manuscript BACKGROUND: Patients with aggressive lymphomas are at higher risk for venous thromboembolism (VTE). ThroLy is a risk assessment model (RAM) derived to predict the occurrence of VTE in various types of lymphomas. In this study, we assess the clinical application of ThroLy RAM in a unified group of patients with diffuse large B-cell lymphoma (DLBCL). METHODS: Hospital databases were searched for patients with DLBCL and radiologically-confirmed VTE. Items in the ThroLy RAM, including prior VTE, reduced mobility, obesity, extranodal disease, mediastinal involvement, neutropenia and hemoglobin < 10.0 g/dL, were retrospectively reviewed. RESULTS: A total of 524 patients, median age 49 (range: 18-90) years were included. Patients had high disease burden; 57.3% with stage III/IV and 34.0% with bulky disease. All were treated on unified guidelines; 63 (12.0%) had primary refractory disease. Venous thromboembolic events were reported in 71 (13.5%) patients. Among 121 patients with high (> 3) ThroLy score, 22.3% developed VTE compared to 8.4% and 12.4% in those with low and intermediate risk scores, respectively (P = .014). Simplifying the ThroLy model into two risk groups; high-risk (score ≥ 3) and low risk (score < 3) can still segregate patients; VTE developed in 44 (17.2%) high-risk patients (n = 256) compared to 27 (10.1%) in the low-risk group (n = 268), P = .038. Neutropenia, a component of the ThroLy, was encountered in only 14 (2.7%) patients. CONCLUSIONS: ThroLy RAM can identify patients with DLBCL at high risk for VTE. Model can be modified by dividing patients into two, rather than three risk groups, and further simplified by omitting neutropenia. SAGE Publications 2021-09-30 /pmc/articles/PMC8642105/ /pubmed/34590497 http://dx.doi.org/10.1177/10760296211045908 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Manuscript Abdel-Razeq, Hikmat Ma’koseh, Mohammad Mansour, Asem Bater, Rayan Amarin, Rula Abufara, Alaa Halahleh, Khalid Manassra, Mohammad Alrwashdeh, Mohammad Almomani, Mohammad Zmaily, Mais The Application of the ThroLy Risk Assessment Model to Predict Venous Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma |
title | The Application of the ThroLy Risk Assessment Model to Predict Venous
Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma |
title_full | The Application of the ThroLy Risk Assessment Model to Predict Venous
Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma |
title_fullStr | The Application of the ThroLy Risk Assessment Model to Predict Venous
Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma |
title_full_unstemmed | The Application of the ThroLy Risk Assessment Model to Predict Venous
Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma |
title_short | The Application of the ThroLy Risk Assessment Model to Predict Venous
Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma |
title_sort | application of the throly risk assessment model to predict venous
thromboembolism in patients with diffuse large b-cell lymphoma |
topic | Original Manuscript |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642105/ https://www.ncbi.nlm.nih.gov/pubmed/34590497 http://dx.doi.org/10.1177/10760296211045908 |
work_keys_str_mv | AT abdelrazeqhikmat theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT makosehmohammad theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mansourasem theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT baterrayan theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT amarinrula theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT abufaraalaa theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT halahlehkhalid theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT manassramohammad theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT alrwashdehmohammad theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT almomanimohammad theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT zmailymais theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT abdelrazeqhikmat applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT makosehmohammad applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mansourasem applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT baterrayan applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT amarinrula applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT abufaraalaa applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT halahlehkhalid applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT manassramohammad applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT alrwashdehmohammad applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT almomanimohammad applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT zmailymais applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma |