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Review of topic on the Diagnosis of Venous Thrombosis and Pulmonary Embolism in Patients with Neoplasms. Role of fibrin Fragment D

Revisión de los métodos diagnósticos de la Trombosis Venosa Profunda y Embolismo Pulmonar. Rol del Fragmento D de fibrina





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Review of topic on the Diagnosis of Venous Thrombosis and Pulmonary Embolism in Patients with Neoplasms. Role of fibrin Fragment D.
rev. colomb. neumol. [Internet]. 2024 Jul. 16 [cited 2024 Nov. 21];. Disponible en: https://doi.org/10.30789/rcneumologia.v36.n2.2024.728

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Ninguna publicación, nacional o extranjera, podrá reproducir ni traducir sus artículos ni sus resúmenes sin previa autorización escrita del editor; sin embargo  los usuarios pueden descargar la información contenida en ella, pero deben darle atribución o reconocimiento de propiedad intelectual, deben usarlo tal como está, sin derivación alguna.


Manuel Garay-Fernández,

Médico Internista Intensivista Neumólogo. Universidad El Bosque, Hospital Santa Clara. Bogotá, Colombia. ORCID: https://orcid.org/0000-0002-3249-6501


David Esteban Arias Mira,

Médico Residente de Medicina Interna. Universidad El Bosque, Hospital Santa Clara. Bogotá, Colombia. 


Venous thrombus embolic disease, represented by Venous Thrombosis and Pulmonary Embolism, constitutes a pathology of high prevalence both in intra and extra hospital patients, with an increasing number of associated risk factors, some of them not represented in the currently implemented risk and prognosis scales, such as solid organ and hematological neoplastic pathologies, which have been associated with false positives in the results of tests such as D-dimer and recurrent thrombotic events, which makes it difficult to establish an algorithm for diagnosis and anticoagulation time after resolution of the initial thrombotic event. In our review, it was documented that the use of lower limb compression Doppler ultrasound, PRA and ATMY in patients with cancer and suspected thrombotic events have a negative predictive value comparable to D-dimer in the absence of cancer, therefore, it is requires greater implementation of these diagnostic strategies in the algorithms of these patients.


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