Characterization of thrombosis risk in ambulatory patients with cancer: results of the observational, prospective, multicenter CARTAGO study
- Javier Trujillo-Santos 1, Ignacio García-Escobar 2, Mercedes Salgado 3, António Araújo 4, Eva Martínez-de-Castro 5, Raquel Molina 6, Victoria E Castellón-Rubio 7, Pere Domènech 8, Enrique Gallardo 9, Esteve Colomé 10, Ferran Torres 11, José-Carlos Benítez-Montañez 12, Rut Porta 13, Míriam Lobo-de-Mena 14, Mariana Malheiro 15, Carme Font 16, Elena Brozos-Vázquez 17, Fernando Garicano 18, Víctor Sapena 11, Ana-Lucia Costa 19, Ana-Cristina Albuquerque 20, Pablo Cerezuela 21,
- 1Internal Medicine Department, Santa Lucía General University Hospital, Catholic University of Murcia, 30202 Murcia, Spain.
- 2Medical Oncology Department, General University Hospital of Toledo, 45007 Toledo, Spain.
- 3Medical Oncology Department, Ourense University Hospital Complex, 32005 Ourense, Spain.
- 4Santo António University Hospital Centre, School of Medicine and Biomedical Sciences (ICBAS), University of Porto, 4099-001 Porto, Portugal.
- 5Medical Oncology Service, Marqués de Valdecilla University Hospital, Valdecilla Research Institute (IDIVAL), 39008 Santander, Spain.
- 6Medical Oncology Department, Príncipe de Asturias Teaching Hospital, 28805 Alcalá de Henares, Spain.
- 7Medical Oncology Department, Torrecárdenas University Hospital, 04009 Almería, Spain.
- 8Haematology Service, Bellvitge University Hospital, 08907 Barcelona, Spain.
- 9Medical Oncology Service, Parc Taulí University Hospital, Parc Taulí Research and Innovation Institute (I3PT-CERCA), Autonomous University of Barcelona, 08208 Sabadell, Spain.
- 10Medical Affairs Department, LEO Pharma, 08003 Barcelona, Spain.
- 11Biostatistics Unit, Medical School, Autonomous University of Barcelona, 08193 Barcelona, Spain.
- 12Medical Oncology Department, Mútua de Terrassa Hospital, 08221 Barcelona, Spain.
- 13Medical Oncology Department, Catalan Institute of Oncology (ICO), 17007 Girona, Spain.
- 14Medical Oncology Department, General University Hospital, 46014 Valencia, Spain.
- 15Medical Oncology, São Francisco Xavier Hospital, Lisboa Ocidental Hospital Centre (CHLO), 1449-005 Lisbon, Portugal.
- 16Medical Oncology Department, Clinic Hospital, 08036 Barcelona, Spain.
- 17Translational Medical Oncology Group, Oncomet, Santiago de Compostela University Hospital Complex (CHUS), 15706 Santiago de Compostela, Spain.
- 18Galdakao Hospital, 48960 Galdakao, Spain.
- 19Oncology Division, Santa Maria Hospital, Lisboa Norte Hospital Centre (CHLN), 1649-028 Lisbon, Portugal.
- 20Medical Oncology Department, Setúbal Hospital Centre, 2910-446 Setúbal, Portugal.
- 21Medical Oncology Department, Virgen de la Arrixaca Clinical University Hospital, 30120 Murcia, Spain.
- 0Internal Medicine Department, Santa Lucía General University Hospital, Catholic University of Murcia, 30202 Murcia, Spain.
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View abstract on PubMed
Summary
This summary is machine-generated.The CARTAGO model identifies cancer patients at high risk for venous thromboembolism (VTE). This tool helps select ambulatory patients who may benefit from primary thromboprophylaxis to prevent VTE.
Area Of Science
- Oncology
- Hematology
- Vascular Medicine
Background
- Venous thromboembolism (VTE) is a significant cause of mortality in cancer patients.
- There is a need for accessible risk assessment tools to guide VTE prophylaxis in oncology.
- Identifying patients who benefit from primary thromboprophylaxis is crucial.
Purpose Of The Study
- To develop a predictive model for assessing VTE risk in cancer patients undergoing specific treatments.
- To create an easily applicable tool for clinical use in outpatient settings.
Main Methods
- A prospective, observational, multicenter study involving 1596 cancer patients across 62 sites in Spain and Portugal.
- Development of a predictive model using a competitive risk framework.
- Analysis of data collected between January 2018 and December 2019.
Main Results
- A total of 1596 patients were analyzed, with 8% experiencing VTE events over 6 months.
- The CARTAGO model identified four key predictive variables: tumor type, D-dimer levels, tumor compression of a vessel, and leukocyte count.
- The model demonstrated moderate predictive accuracy (C-statistic, 0.646) with significant risk associated with 'very high risk' tumors.
Conclusions
- The CARTAGO model effectively predicts VTE risk in ambulatory cancer patients receiving anticancer therapy.
- This model can assist clinicians in identifying patients who would likely benefit from primary thromboprophylaxis.
- The study provides a valuable tool for proactive VTE management in cancer care.
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