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Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems
PURPOSE: Venous thromboembolism (VTE), especially pulmonary embolism (PE) and lower extremity deep vein thrombosis (LE-DVT), is a serious and potentially preventable complication for patients with cancer undergoing systemic therapy. METHODS: Using retrospective data from patients diagnosed with inci...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431461/ https://www.ncbi.nlm.nih.gov/pubmed/36626707 http://dx.doi.org/10.1200/JCO.22.01542 |
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author | Li, Ang La, Jennifer May, Sarah B. Guffey, Danielle da Costa, Wilson L. Amos, Christopher I. Bandyo, Raka Milner, Emily M. Kurian, Karen M. Chen, Daniel C.R. Do, Nhan V. Granada, Carolina Riaz, Nimrah Brophy, Mary T. Chitalia, Vipul Gaziano, J. Michael Garcia, David A. Carrier, Marc Flowers, Christopher R. Zakai, Neil A. Fillmore, Nathanael R. |
author_facet | Li, Ang La, Jennifer May, Sarah B. Guffey, Danielle da Costa, Wilson L. Amos, Christopher I. Bandyo, Raka Milner, Emily M. Kurian, Karen M. Chen, Daniel C.R. Do, Nhan V. Granada, Carolina Riaz, Nimrah Brophy, Mary T. Chitalia, Vipul Gaziano, J. Michael Garcia, David A. Carrier, Marc Flowers, Christopher R. Zakai, Neil A. Fillmore, Nathanael R. |
author_sort | Li, Ang |
collection | PubMed |
description | PURPOSE: Venous thromboembolism (VTE), especially pulmonary embolism (PE) and lower extremity deep vein thrombosis (LE-DVT), is a serious and potentially preventable complication for patients with cancer undergoing systemic therapy. METHODS: Using retrospective data from patients diagnosed with incident cancer from 2011-2020, we derived a parsimonious risk assessment model (RAM) using least absolute shrinkage and selection operator regression from the Harris Health System (HHS, n = 9,769) and externally validated it using the Veterans Affairs (VA) health care system (n = 79,517). Bootstrapped c statistics and calibration curves were used to assess external model discrimination and fit. Dichotomized risk strata using integer scores were created and compared against the Khorana score (KS). RESULTS: Incident VTE and PE/LE-DVT at 6 months occurred in 590 (6.2%) and 437 (4.6%) patients in HHS and 4,027 (5.1%) and 3,331 (4.2%) patients in the VA health care system. Assessed at the time of systemic therapy initiation, the new RAM included components of the KS with the modified cancer subtype, cancer staging, systemic therapy class, history of VTE, history of paralysis/immobility, recent hospitalization, and Asian/Pacific Islander race. The c statistic was 0.71 in HHS and 0.68 in the VA health care system (compared with 0.65 and 0.60, respectively, for KS). Furthermore, the new RAM appropriately reclassified 28% of patients and increased the proportion of VTEs in the high-risk group from 37% to 68% in the validation data set. CONCLUSION: The novel RAM stratified patients with cancer into a high-risk group with 8%-10% cumulative incidence of VTE and 7% PE/LE-DVT at 6 months (v 3% and 2%, respectively, in the low-risk group). The model had improved performance over the original KS and doubled the number of VTE events in the high-risk stratum. We encourage additional external validation from prospective studies. |
format | Online Article Text |
id | pubmed-10431461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-104314612023-08-17 Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems Li, Ang La, Jennifer May, Sarah B. Guffey, Danielle da Costa, Wilson L. Amos, Christopher I. Bandyo, Raka Milner, Emily M. Kurian, Karen M. Chen, Daniel C.R. Do, Nhan V. Granada, Carolina Riaz, Nimrah Brophy, Mary T. Chitalia, Vipul Gaziano, J. Michael Garcia, David A. Carrier, Marc Flowers, Christopher R. Zakai, Neil A. Fillmore, Nathanael R. J Clin Oncol ORIGINAL REPORTS PURPOSE: Venous thromboembolism (VTE), especially pulmonary embolism (PE) and lower extremity deep vein thrombosis (LE-DVT), is a serious and potentially preventable complication for patients with cancer undergoing systemic therapy. METHODS: Using retrospective data from patients diagnosed with incident cancer from 2011-2020, we derived a parsimonious risk assessment model (RAM) using least absolute shrinkage and selection operator regression from the Harris Health System (HHS, n = 9,769) and externally validated it using the Veterans Affairs (VA) health care system (n = 79,517). Bootstrapped c statistics and calibration curves were used to assess external model discrimination and fit. Dichotomized risk strata using integer scores were created and compared against the Khorana score (KS). RESULTS: Incident VTE and PE/LE-DVT at 6 months occurred in 590 (6.2%) and 437 (4.6%) patients in HHS and 4,027 (5.1%) and 3,331 (4.2%) patients in the VA health care system. Assessed at the time of systemic therapy initiation, the new RAM included components of the KS with the modified cancer subtype, cancer staging, systemic therapy class, history of VTE, history of paralysis/immobility, recent hospitalization, and Asian/Pacific Islander race. The c statistic was 0.71 in HHS and 0.68 in the VA health care system (compared with 0.65 and 0.60, respectively, for KS). Furthermore, the new RAM appropriately reclassified 28% of patients and increased the proportion of VTEs in the high-risk group from 37% to 68% in the validation data set. CONCLUSION: The novel RAM stratified patients with cancer into a high-risk group with 8%-10% cumulative incidence of VTE and 7% PE/LE-DVT at 6 months (v 3% and 2%, respectively, in the low-risk group). The model had improved performance over the original KS and doubled the number of VTE events in the high-risk stratum. We encourage additional external validation from prospective studies. Wolters Kluwer Health 2023-06-01 2023-01-10 /pmc/articles/PMC10431461/ /pubmed/36626707 http://dx.doi.org/10.1200/JCO.22.01542 Text en © 2023 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | ORIGINAL REPORTS Li, Ang La, Jennifer May, Sarah B. Guffey, Danielle da Costa, Wilson L. Amos, Christopher I. Bandyo, Raka Milner, Emily M. Kurian, Karen M. Chen, Daniel C.R. Do, Nhan V. Granada, Carolina Riaz, Nimrah Brophy, Mary T. Chitalia, Vipul Gaziano, J. Michael Garcia, David A. Carrier, Marc Flowers, Christopher R. Zakai, Neil A. Fillmore, Nathanael R. Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems |
title | Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems |
title_full | Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems |
title_fullStr | Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems |
title_full_unstemmed | Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems |
title_short | Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems |
title_sort | derivation and validation of a clinical risk assessment model for cancer-associated thrombosis in two unique us health care systems |
topic | ORIGINAL REPORTS |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431461/ https://www.ncbi.nlm.nih.gov/pubmed/36626707 http://dx.doi.org/10.1200/JCO.22.01542 |
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