Literature DB >> 28334639

Inferior vena cava filters in patients with cancer and venous thromboembolism (VTE) does not improve clinical outcomes: A population-based study.

Ann Brunson1, Gwendolyn Ho1, Richard White2, Ted Wun3.   

Abstract

BACKGROUND: There are few studies that have determined clinical outcomes following inferior vena cava filter (IVCF) insertion in cancer patients hospitalized for acute deep-vein-thrombosis (DVT) or pulmonary embolism (PE). METHODS AND
RESULTS: We analyzed hospital discharge records of all patients with active cancer who were admitted to a California hospital specifically for acute DVT or PE between 2005 through 2009. Propensity and competing risk methodology were used to determine if IVCF-use lowered either 30-day mortality or the risk of recurrent PE, DVT, and major bleeding within 180days. Among 14,000 patients, an IVCF was placed in 2747 (19.6%), but only 577 (21%) of these IVCF patients had an apparent indication for filter use because of acute bleeding or undergoing major surgery. Data on anticoagulation use was not available. Filter-use provided no reduction in either 30-day mortality (HR=1.12, 95% CI: 0.99-1.26, p=0.08) or the adjusted 180-day risk of subsequent PE (±DVT) (HR=0.81, 95% CI: 0.52-1.27, p=0.36). Filter use was, however, associated with an increase in the adjusted180-day risk of recurrent DVT (HR=2.10, 95% CI: 1.53-2.89, p<0.0001).
CONCLUSIONS: We conclude that in this population-based study, approximately 20% of cancer patients with acute VTE received an IVCF, but only 21% of these had an indication for IVCF use. Overall, IVCF use provided neither a short-term survival benefit nor a reduction in risk of recurrent PE, but IVCF use was associated with a higher risk of recurrent DVT. Published by Elsevier Ltd.

Entities:  

Keywords:  Cancer; Epidemiology; Inferior vena cava filter; Pulmonary embolism; Thrombosis

Mesh:

Year:  2017        PMID: 28334639     DOI: 10.1016/j.thromres.2017.03.012

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  7 in total

Review 1.  Comparison of All-Cause Mortality Following VTE Treatment Between Propensity Score-Adjusted Observational Studies and Matched Randomized Controlled Trials: Meta-Epidemiologic Study.

Authors:  Claudia Coscia; Ana Jaureguizar; Carlos Andres Quezada; Alfonso Muriel; Manuel Monreal; Tomas Villén; Esther Barbero; Diana Chiluiza; Roger D Yusen; David Jimenez
Journal:  Chest       Date:  2018-10-25       Impact factor: 9.410

2.  SEOM clinical guideline of venous thromboembolism (VTE) and cancer (2019).

Authors:  A J Muñoz Martín; E Gallardo Díaz; I García Escobar; R Macías Montero; V Martínez-Marín; V Pachón Olmos; P Pérez Segura; T Quintanar Verdúguez; M Salgado Fernández
Journal:  Clin Transl Oncol       Date:  2020-01-24       Impact factor: 3.405

3.  Persistently low inferior vena cava filter retrieval rates in a population-based cohort.

Authors:  Abhisekh Mohapatra; Nathan L Liang; Rabih A Chaer; Edith Tzeng
Journal:  J Vasc Surg Venous Lymphat Disord       Date:  2018-11-12

Review 4.  A review of anticoagulation in patients with central nervous system malignancy: between a rock and a hard place.

Authors:  Dawn Swan; David Julian Seiffge; Jecko Thachil
Journal:  J Neurol       Date:  2020-03-02       Impact factor: 4.849

5.  Anticoagulation after intracranial hemorrhage in brain tumors: Risk of recurrent hemorrhage and venous thromboembolism.

Authors:  Brian J Carney; Erik J Uhlmann; Maneka Puligandla; Charlene Mantia; Griffin M Weber; Donna S Neuberg; Jeffrey I Zwicker
Journal:  Res Pract Thromb Haemost       Date:  2020-06-23

6.  Gastrointestinal Malignancies and Venous Thromboembolic Disease: Clinical Significance and Endovascular Interventions.

Authors:  Xin Li; Sasan Partovi; Sameer Gadani; Charles Martin; Avi Beck; Suresh Vedantham
Journal:  Dig Dis Interv       Date:  2020-09-22

7.  Patient and hospital characteristics predictive of inferior vena cava filter usage in venous thromboembolism patients: A study from the 2013 to 2014 Nationwide Readmissions Database.

Authors:  Amie Goodin; Ming Chen; Driss Raissi; Qiong Han; Hong Xiao; Joshua Brown
Journal:  Medicine (Baltimore)       Date:  2018-03       Impact factor: 1.889

  7 in total

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