External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)

The objective of this study was to validate the PredictAI models for predicting major bleeding (MB) in patients with active cancer and venous thromboembolism (VTE) with anticoagulant (ACO) therapy, within 6 months after primary VTE, using an independent cohort of patients from the TESEO database. Th...

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Autores: Viñuela-Benéitez, María Carmen, Iglesias Pérez, Claudia, Ortega Morán, Laura|||0000-0003-0456-7322, García Escobar, Ignacio, Cacho Lavín, Diego, Porta i Balanyà, Rut, García Adrián, Silvia, Carmona Campos, Marta, Benítez López, Gretel, Santiago Crespo, José Antonio, Lobo de Mena, Miriam|||0000-0002-8249-7721, Pérez Altozano, Javier, Gallardo Díaz, Enrique|||0000-0002-1375-3488, Tejerina Peces, Julia, Ochoa Rivas, Pilar, Ortiz Morales, María José, Castellón Rubio, Victoria Eugenia, Díez Pedroche, Carmen, Rosales Sueiro, María, Gonçalves, Felipe, Sánchez Cánovas, Manuel|||0000-0001-8687-4101, Ruiz, Miguel Ángel, Muñoz-Langa, José, Pérez Segura, Pedro, Martínez de Castro, Eva|||0000-0002-5772-0741, Carmona-Bayonas, Alberto|||0000-0002-1930-9660, Jiménez Fonseca, Paula|||0000-0003-4592-3813, Muñoz Martin, Andrés|||0000-0001-6977-8249
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:320303
Acceso en línea:https://ddd.uab.cat/record/320303
https://dx.doi.org/urn:doi:10.1007/s12094-025-03890-5
Access Level:acceso abierto
Palabra clave:Cancer
Venous thromboembolism
Bleeding
Anticoagulation
Natural language processing
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spelling External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)Viñuela-Benéitez, María CarmenIglesias Pérez, ClaudiaOrtega Morán, Laura|||0000-0003-0456-7322García Escobar, IgnacioCacho Lavín, DiegoPorta i Balanyà, RutGarcía Adrián, SilviaCarmona Campos, MartaBenítez López, GretelSantiago Crespo, José AntonioLobo de Mena, Miriam|||0000-0002-8249-7721Pérez Altozano, JavierGallardo Díaz, Enrique|||0000-0002-1375-3488Tejerina Peces, JuliaOchoa Rivas, PilarOrtiz Morales, María JoséCastellón Rubio, Victoria EugeniaDíez Pedroche, CarmenRosales Sueiro, MaríaGonçalves, FelipeSánchez Cánovas, Manuel|||0000-0001-8687-4101Ruiz, Miguel ÁngelMuñoz-Langa, JoséPérez Segura, PedroMartínez de Castro, Eva|||0000-0002-5772-0741Carmona-Bayonas, Alberto|||0000-0002-1930-9660Jiménez Fonseca, Paula|||0000-0003-4592-3813Muñoz Martin, Andrés|||0000-0001-6977-8249CancerVenous thromboembolismBleedingAnticoagulationNatural language processingThe objective of this study was to validate the PredictAI models for predicting major bleeding (MB) in patients with active cancer and venous thromboembolism (VTE) with anticoagulant (ACO) therapy, within 6 months after primary VTE, using an independent cohort of patients from the TESEO database. This study conducted an external validation of the PredictAI models using the international, prospective TESEO registry from July 2018 until October 2021. Data from 40 Spanish and Portuguese hospitals recruiting consecutive cases of cancer-associated thrombosis under anticoagulant treatment and without missing values regarding the model outcome or predictors were used. Patients with baseline MB or unknown MB status during follow-up were excluded for the validation analysis. Logistic regression (LR), decision tree (DT), and random forest (RF) approaches were used to validate the models. Included patients from the TESEO cohort (2179 patients) had similar key demographics and clinical characteristics to the PredictAI cohort (21,227 patients). During the 6-month follow-up period, 10.9% (n = 2314) and 5.9% (n = 129) of patients experienced at least one MB event in the PredictAI and TESEO cohorts, respectively. Hemoglobin, metastasis, age, platelets, leukocytes, and serum creatinine were described as predictors for MB in PredictAI; the external validation results in TESEO showed statistical significance by LR and RF approaches, with ROC-AUC values of 0.59 and 0.56, respectively (both p < 0.05). PredictAI models for predicting MB in anticoagulant-treated cancer patients within the first 6 months following VTE diagnosis have been externally validated. These models may be considered as a tool to guide objective decisions regarding the indication or extension of anticoagulant therapy in this population. The online version contains supplementary material available at 10.1007/s12094-025-03890-5.Universitat Autònoma de Barcelona 22025-01-0120252025-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/320303https://dx.doi.org/urn:doi:10.1007/s12094-025-03890-5reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:3203032026-06-06T12:50:31Z
dc.title.none.fl_str_mv External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
title External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
spellingShingle External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
Viñuela-Benéitez, María Carmen
Cancer
Venous thromboembolism
Bleeding
Anticoagulation
Natural language processing
title_short External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
title_full External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
title_fullStr External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
title_full_unstemmed External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
title_sort External validation of a prediction model for bleeding events in anticoagulated cancer patients with venous thromboembolism (PredictAI)
dc.creator.none.fl_str_mv Viñuela-Benéitez, María Carmen
Iglesias Pérez, Claudia
Ortega Morán, Laura|||0000-0003-0456-7322
García Escobar, Ignacio
Cacho Lavín, Diego
Porta i Balanyà, Rut
García Adrián, Silvia
Carmona Campos, Marta
Benítez López, Gretel
Santiago Crespo, José Antonio
Lobo de Mena, Miriam|||0000-0002-8249-7721
Pérez Altozano, Javier
Gallardo Díaz, Enrique|||0000-0002-1375-3488
Tejerina Peces, Julia
Ochoa Rivas, Pilar
Ortiz Morales, María José
Castellón Rubio, Victoria Eugenia
Díez Pedroche, Carmen
Rosales Sueiro, María
Gonçalves, Felipe
Sánchez Cánovas, Manuel|||0000-0001-8687-4101
Ruiz, Miguel Ángel
Muñoz-Langa, José
Pérez Segura, Pedro
Martínez de Castro, Eva|||0000-0002-5772-0741
Carmona-Bayonas, Alberto|||0000-0002-1930-9660
Jiménez Fonseca, Paula|||0000-0003-4592-3813
Muñoz Martin, Andrés|||0000-0001-6977-8249
author Viñuela-Benéitez, María Carmen
author_facet Viñuela-Benéitez, María Carmen
Iglesias Pérez, Claudia
Ortega Morán, Laura|||0000-0003-0456-7322
García Escobar, Ignacio
Cacho Lavín, Diego
Porta i Balanyà, Rut
García Adrián, Silvia
Carmona Campos, Marta
Benítez López, Gretel
Santiago Crespo, José Antonio
Lobo de Mena, Miriam|||0000-0002-8249-7721
Pérez Altozano, Javier
Gallardo Díaz, Enrique|||0000-0002-1375-3488
Tejerina Peces, Julia
Ochoa Rivas, Pilar
Ortiz Morales, María José
Castellón Rubio, Victoria Eugenia
Díez Pedroche, Carmen
Rosales Sueiro, María
Gonçalves, Felipe
Sánchez Cánovas, Manuel|||0000-0001-8687-4101
Ruiz, Miguel Ángel
Muñoz-Langa, José
Pérez Segura, Pedro
Martínez de Castro, Eva|||0000-0002-5772-0741
Carmona-Bayonas, Alberto|||0000-0002-1930-9660
Jiménez Fonseca, Paula|||0000-0003-4592-3813
Muñoz Martin, Andrés|||0000-0001-6977-8249
author_role author
author2 Iglesias Pérez, Claudia
Ortega Morán, Laura|||0000-0003-0456-7322
García Escobar, Ignacio
Cacho Lavín, Diego
Porta i Balanyà, Rut
García Adrián, Silvia
Carmona Campos, Marta
Benítez López, Gretel
Santiago Crespo, José Antonio
Lobo de Mena, Miriam|||0000-0002-8249-7721
Pérez Altozano, Javier
Gallardo Díaz, Enrique|||0000-0002-1375-3488
Tejerina Peces, Julia
Ochoa Rivas, Pilar
Ortiz Morales, María José
Castellón Rubio, Victoria Eugenia
Díez Pedroche, Carmen
Rosales Sueiro, María
Gonçalves, Felipe
Sánchez Cánovas, Manuel|||0000-0001-8687-4101
Ruiz, Miguel Ángel
Muñoz-Langa, José
Pérez Segura, Pedro
Martínez de Castro, Eva|||0000-0002-5772-0741
Carmona-Bayonas, Alberto|||0000-0002-1930-9660
Jiménez Fonseca, Paula|||0000-0003-4592-3813
Muñoz Martin, Andrés|||0000-0001-6977-8249
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universitat Autònoma de Barcelona
dc.subject.none.fl_str_mv Cancer
Venous thromboembolism
Bleeding
Anticoagulation
Natural language processing
topic Cancer
Venous thromboembolism
Bleeding
Anticoagulation
Natural language processing
description The objective of this study was to validate the PredictAI models for predicting major bleeding (MB) in patients with active cancer and venous thromboembolism (VTE) with anticoagulant (ACO) therapy, within 6 months after primary VTE, using an independent cohort of patients from the TESEO database. This study conducted an external validation of the PredictAI models using the international, prospective TESEO registry from July 2018 until October 2021. Data from 40 Spanish and Portuguese hospitals recruiting consecutive cases of cancer-associated thrombosis under anticoagulant treatment and without missing values regarding the model outcome or predictors were used. Patients with baseline MB or unknown MB status during follow-up were excluded for the validation analysis. Logistic regression (LR), decision tree (DT), and random forest (RF) approaches were used to validate the models. Included patients from the TESEO cohort (2179 patients) had similar key demographics and clinical characteristics to the PredictAI cohort (21,227 patients). During the 6-month follow-up period, 10.9% (n = 2314) and 5.9% (n = 129) of patients experienced at least one MB event in the PredictAI and TESEO cohorts, respectively. Hemoglobin, metastasis, age, platelets, leukocytes, and serum creatinine were described as predictors for MB in PredictAI; the external validation results in TESEO showed statistical significance by LR and RF approaches, with ROC-AUC values of 0.59 and 0.56, respectively (both p < 0.05). PredictAI models for predicting MB in anticoagulant-treated cancer patients within the first 6 months following VTE diagnosis have been externally validated. These models may be considered as a tool to guide objective decisions regarding the indication or extension of anticoagulant therapy in this population. The online version contains supplementary material available at 10.1007/s12094-025-03890-5.
publishDate 2025
dc.date.none.fl_str_mv 2
2025-01-01
2025
2025-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/320303
https://dx.doi.org/urn:doi:10.1007/s12094-025-03890-5
url https://ddd.uab.cat/record/320303
https://dx.doi.org/urn:doi:10.1007/s12094-025-03890-5
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
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https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
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