TY - JOUR
T1 - Characterization of thrombosis risk in ambulatory patients with cancer
T2 - Results of the observational, prospective, multicenter CARTAGO study
AU - CARTAGO Study Group
AU - Trujillo-Santos, Javier
AU - García-Escobar, Ignacio
AU - Salgado, Mercedes
AU - Araújo, António
AU - Martínez-De-Castro, Eva
AU - Molina, Raquel
AU - Castellón-Rubio, Victoria E.
AU - Domènech, Pere
AU - Gallardo, Enrique
AU - Colomé, Esteve
AU - Torres, Ferran
AU - Benítez-Montañez, José Carlos
AU - Porta, Rut
AU - Lobo-De-Mena, Míriam
AU - Malheiro, Mariana
AU - Font, Carme
AU - Brozos-Vázquez, Elena
AU - Garicano, Fernando
AU - Sapena, Víctor
AU - Costa, Ana Lucia
AU - Albuquerque, Ana Cristina
AU - Cerezuela, Pablo
AU - Agraso, Sara
AU - Anguera, Georgia
AU - Antonio, Maite
AU - Arias, David
AU - Biosca, Mercedes
AU - Blasco, Ana
AU - Bustins, Anna
AU - Cacho, Diego
AU - Calvo, Núria
AU - Campos-Balea, Begoña
AU - Carmona, Marta
AU - Cillan, Elena
AU - Díaz-Pedroche, Carmen
AU - Espinosa Olarte, Paula
AU - Exposito, Francis
AU - Fernández, Isaura
AU - Fernández-Franco, Lourdes
AU - Fullana, Tomeu
AU - García-Adrián, Silvia
AU - García-Sánchez, Javier
AU - Giménez, Sandra
AU - González-Cebrián, Irene
AU - González Moya, Manuel
AU - Lucía Gozálvez, Clara
AU - Gutiérrez-Abad, David
AU - Lage, Yolanda
AU - López, Rosa
AU - De Miguel, Yolanda
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Oxford University Press.
PY - 2025/8/1
Y1 - 2025/8/1
N2 - Background Venous thromboembolism (VTE) is one of the leading causes of death in patients with cancer. Currently, there is a need to develop an easily applicable risk model that can identify patients who will benefit from receiving primary thromboprophylaxis to reduce the incidence of VTE. Patients and methods This was a non-interventional, multicenter, observational, prospective study carried out in 62 Oncology and Hematology services in Spain and Portugal between January 2018 and December 2019. The main objective of the CARTAGO study was to develop a predictive model within a competitive risk framework to assess the risk of VTE in patients with cancer undergoing chemotherapy, biological, or hormonal treatment. Results A total of 1596 patients were analyzed. VTE events occurred in 124 (8%) during the 6-month follow-up period (42% of deep vein thrombosis [DVT], 48% of pulmonary embolism [PE], and 10% of both DVT and PE). Four variables were selected for the multivariate predictive model to determine the risk of VTE (tumor type, D-dimer, compression of a vessel by the tumor, and leukocyte count). The 4 variables were associated with an increased risk of VTE (C-statistic, 0.646 [95%CI, 0.620-0.673]). The most significant variables in the internal validation with bootstrapping were the "very high risk"tumors (hazard ratio [HR] 2.032; 95%CI, 1.287-3.211). Conclusion The CARTAGO model predicts the VTE risk in patients with cancer receiving anticancer therapy in an outpatient setting. This model can easily aid in identifying ambulatory patients who would probably benefit from primary thromboprophylaxis.
AB - Background Venous thromboembolism (VTE) is one of the leading causes of death in patients with cancer. Currently, there is a need to develop an easily applicable risk model that can identify patients who will benefit from receiving primary thromboprophylaxis to reduce the incidence of VTE. Patients and methods This was a non-interventional, multicenter, observational, prospective study carried out in 62 Oncology and Hematology services in Spain and Portugal between January 2018 and December 2019. The main objective of the CARTAGO study was to develop a predictive model within a competitive risk framework to assess the risk of VTE in patients with cancer undergoing chemotherapy, biological, or hormonal treatment. Results A total of 1596 patients were analyzed. VTE events occurred in 124 (8%) during the 6-month follow-up period (42% of deep vein thrombosis [DVT], 48% of pulmonary embolism [PE], and 10% of both DVT and PE). Four variables were selected for the multivariate predictive model to determine the risk of VTE (tumor type, D-dimer, compression of a vessel by the tumor, and leukocyte count). The 4 variables were associated with an increased risk of VTE (C-statistic, 0.646 [95%CI, 0.620-0.673]). The most significant variables in the internal validation with bootstrapping were the "very high risk"tumors (hazard ratio [HR] 2.032; 95%CI, 1.287-3.211). Conclusion The CARTAGO model predicts the VTE risk in patients with cancer receiving anticancer therapy in an outpatient setting. This model can easily aid in identifying ambulatory patients who would probably benefit from primary thromboprophylaxis.
KW - cancer
KW - D-dimer
KW - leukocytes
KW - thromboprophylaxis
KW - venous thromboembolism
UR - https://www.scopus.com/pages/publications/105014535708
U2 - 10.1093/oncolo/oyae334
DO - 10.1093/oncolo/oyae334
M3 - Article
C2 - 39673414
AN - SCOPUS:105014535708
SN - 1083-7159
VL - 30
JO - Oncologist
JF - Oncologist
IS - 8
M1 - oyae334
ER -