Position paper of the Italian Society of Internal Medicine (SIMI) on prophylaxis and treatment of venous thromboembolism in patients with cancer.
Domenico PriscoAntonella TufanoCaterina CenciPasquale PignatelliFrancesca SantilliGiovanni Di MinnoFrancesco PerticonePublished in: Internal and emergency medicine (2018)
Cancer patients are at high risk of developing thrombotic events, including venous thromboembolism (VTE) [deep venous thrombosis (DVT) and pulmonary embolism (PE)], and arterial thrombosis. DVT and PE represent the second leading cause of death in cancer patients; moreover, the development of thromboembolic events in cancer patients is linked to a greater need of hospitalization and frequency of side effects during treatment, in particular bleeding, and to an increased risk of recurrence during and following antithrombotic therapy. The thromboembolic risk may be different in different subgroups of cancer population, being highest in patients with metastatic disease, patients with pancreas, stomach, kidney or primary brain cancer, or during therapeutic interventions or surgery. This document focuses on several relevant topics including the epidemiology and pathogenesis of cancer-associated VTE, the current and future strategies of primary prevention and anticoagulant treatment, and the management of bleeding complications. The main literature data are discussed in detail, including, when available, evidence from randomized clinical trials and meta-analyses, international guidelines statements, the results of recently published trials comparing direct oral anticoagulants to low molecular weight heparin, and the design and aims of ongoing trials on prevention/treatment of cancer-associated VTE.
Keyphrases
- venous thromboembolism
- direct oral anticoagulants
- pulmonary embolism
- atrial fibrillation
- systematic review
- minimally invasive
- physical activity
- meta analyses
- inferior vena cava
- current status
- stem cells
- brain injury
- multiple sclerosis
- mesenchymal stem cells
- artificial intelligence
- combination therapy
- big data
- deep learning