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 pat...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-09-01
|
| Series: | Clinical and Applied Thrombosis/Hemostasis |
| Online Access: | https://doi.org/10.1177/10760296211045908 |
| _version_ | 1819126192548085760 |
|---|---|
| author | Hikmat Abdel-Razeq Mohammad Ma’koseh Asem Mansour Rayan Bater Rula Amarin Alaa Abufara Khalid Halahleh Mohammad Manassra Mohammad Alrwashdeh Mohammad Almomani Mais Zmaily |
| author_facet | Hikmat Abdel-Razeq Mohammad Ma’koseh Asem Mansour Rayan Bater Rula Amarin Alaa Abufara Khalid Halahleh Mohammad Manassra Mohammad Alrwashdeh Mohammad Almomani Mais Zmaily |
| author_sort | Hikmat Abdel-Razeq |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-22T07:52:08Z |
| format | Article |
| id | doaj.art-45d3709c03dc48d4908848c1c863fb50 |
| institution | Directory Open Access Journal |
| issn | 1938-2723 |
| language | English |
| last_indexed | 2024-12-22T07:52:08Z |
| publishDate | 2021-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Clinical and Applied Thrombosis/Hemostasis |
| spelling | doaj.art-45d3709c03dc48d4908848c1c863fb502022-12-21T18:33:28ZengSAGE PublishingClinical and Applied Thrombosis/Hemostasis1938-27232021-09-012710.1177/10760296211045908The Application of the ThroLy Risk Assessment Model to Predict Venous Thromboembolism in Patients with Diffuse Large B-Cell LymphomaHikmat Abdel-Razeq0Mohammad Ma’koseh1Asem Mansour2Rayan Bater3Rula Amarin4Alaa Abufara5Khalid Halahleh6Mohammad Manassra7Mohammad Alrwashdeh8Mohammad Almomani9Mais Zmaily10 , Amman, Jordan , Amman, Jordan , Department of Radiology, Amman, Jordan , Amman, Jordan , Amman, Jordan , Amman, Jordan , Amman, Jordan , Amman, Jordan , Amman, Jordan , Irbid, Jordan , Department of Radiology, Amman, JordanBackground 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.https://doi.org/10.1177/10760296211045908 |
| spellingShingle | Hikmat Abdel-Razeq Mohammad Ma’koseh Asem Mansour Rayan Bater Rula Amarin Alaa Abufara Khalid Halahleh Mohammad Manassra Mohammad Alrwashdeh Mohammad Almomani Mais Zmaily The Application of the ThroLy Risk Assessment Model to Predict Venous Thromboembolism in Patients with Diffuse Large B-Cell Lymphoma Clinical and Applied Thrombosis/Hemostasis |
| 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 |
| url | https://doi.org/10.1177/10760296211045908 |
| work_keys_str_mv | AT hikmatabdelrazeq theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mohammadmakoseh theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT asemmansour theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT rayanbater theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT rulaamarin theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT alaaabufara theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT khalidhalahleh theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mohammadmanassra theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mohammadalrwashdeh theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mohammadalmomani theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT maiszmaily theapplicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT hikmatabdelrazeq applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mohammadmakoseh applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT asemmansour applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT rayanbater applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT rulaamarin applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT alaaabufara applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT khalidhalahleh applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mohammadmanassra applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mohammadalrwashdeh applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT mohammadalmomani applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma AT maiszmaily applicationofthethrolyriskassessmentmodeltopredictvenousthromboembolisminpatientswithdiffuselargebcelllymphoma |