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...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| 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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oai:ddd.uab.cat:320303 |
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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 |
| format |
article |
| 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/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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application/pdf |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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Universitat Autònoma de Barcelona |
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Dipòsit Digital de Documents de la UAB |
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Dipòsit Digital de Documents de la UAB |
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15.81155 |