Literature DB >> 32017293

External Validation of a Venous Thromboembolic Risk Score for Cancer Outpatients with Solid Tumors: The COMPASS-CAT Venous Thromboembolism Risk Assessment Model.

Alex C Spyropoulos1,2,3, Joanna B Eldredge4, Lalitha N Anand2, Meng Zhang3, Michael Qiu3, Soheila Nourabadi3, David J Rosenberg3.   

Abstract

BACKGROUND: Current risk assessment models (RAMs) for prediction of venous thromboembolism (VTE) risk in the outpatient cancer population have shown poor predictive value in many of the most common cancers. The Comparison of Methods for Thromboembolic Risk Assessment with Clinical Perceptions and AwareneSS in Real Life Patients-Cancer Associated Thrombosis (COMPASS-CAT) RAM was derived in this patient population and predicted patients at high risk for VTE even after initiation of chemotherapy. We sought to externally validate this RAM.
MATERIALS AND METHODS: Patients aged ≥18 years who presented to a tertiary care center between January 1, 2014, and December 31, 2016, with invasive breast, ovarian, lung, or colorectal cancers were included. The COMPASS-CAT RAM was applied using our health system's tumor registry and variables that were identified by International Statistical Classification of Diseases and Related Health Problems-9 and -10 codes of the electronic health record and independent chart review. The primary endpoint at 6-month study follow-up was documented VTE.
RESULTS: A total of 3,814 patients were included. Documented VTE at 6-month follow-up occurred in 5.85% of patients. Patients stratified into low/intermediate- and high-risk groups had VTE rates of 2.27% and 6.31%, respectively. The sensitivity, specificity, and negative and positive predictive value of the RAM were 95%, 12%, 97.73%, and 6.31%, respectively. Diagnostic accuracy via receiver operating characteristic curve was calculated at 0.62 of the area under the curve.
CONCLUSION: In this large retrospective external validation study of the COMPASS-CAT RAM for VTE in patients with cancer undergoing active treatment, model discrimination was moderate and calibration was poor. The model had good negative predictive value. Further prospective validation studies-especially within 6 months of cancer diagnosis-are needed before the model can be implemented into routine clinical practice for primary thromboprophylaxis of high-VTE-risk patients with cancer with solid tumors. IMPLICATIONS FOR PRACTICE: This study provides further guidance for researchers and clinicians in determining clinical and laboratory risk factors associated with development of venous thromboembolism among the ambulatory population of patients being treated for lung, breast, colorectal, or ovarian cancer. It validates the COMPASS-CAT risk model that was developed in this cancer population and suggests that further prospective validation of the model, with more focus on patients within 6 months of their index cancer diagnosis, would likely enhance the accuracy and usefulness of this model as a clinical prediction tool. © AlphaMed Press 2020.

Entities:  

Keywords:  Breast cancer ; Cancer-associated thrombosis; Colorectal cancer; Lung cancer; Ovarian cancer; Risk assessment model; Venous thronboembolism

Mesh:

Substances:

Year:  2020        PMID: 32017293      PMCID: PMC7356707          DOI: 10.1634/theoncologist.2019-0482

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  25 in total

1.  Prevention of VTE in nonsurgical patients: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.

Authors:  Susan R Kahn; Wendy Lim; Andrew S Dunn; Mary Cushman; Francesco Dentali; Elie A Akl; Deborah J Cook; Alex A Balekian; Russell C Klein; Hoang Le; Sam Schulman; M Hassan Murad
Journal:  Chest       Date:  2012-02       Impact factor: 9.410

2.  High incidence of thromboembolic events in patients treated with cisplatin-based chemotherapy: a large retrospective analysis.

Authors:  Russell A Moore; Nelly Adel; Elyn Riedel; Manisha Bhutani; Darren R Feldman; Nour Elise Tabbara; Gerald Soff; Rekha Parameswaran; Hani Hassoun
Journal:  J Clin Oncol       Date:  2011-08-01       Impact factor: 44.544

Review 3.  Risk assessment models for venous thromboembolism in acutely ill medical patients. A systematic review.

Authors:  Anna K Stuck; David Spirk; Jil Schaudt; Nils Kucher
Journal:  Thromb Haemost       Date:  2017-02-02       Impact factor: 5.249

4.  Predictors of Venous Thromboembolism and Early Mortality in Lung Cancer: Results from a Global Prospective Study (CANTARISK).

Authors:  Nicole M Kuderer; Marek S Poniewierski; Eva Culakova; Gary H Lyman; Alok A Khorana; Ingrid Pabinger; Giancarlo Agnelli; Howard A Liebman; Eric Vicaut; Guy Meyer; Frances A Shepherd
Journal:  Oncologist       Date:  2017-09-26

5.  Prediction of venous thromboembolism in patients with cancer by measuring thrombin generation: results from the Vienna Cancer and Thrombosis Study.

Authors:  Cihan Ay; Daniela Dunkler; Ralph Simanek; Johannes Thaler; Silvia Koder; Christine Marosi; Christoph Zielinski; Ingrid Pabinger
Journal:  J Clin Oncol       Date:  2011-04-04       Impact factor: 44.544

6.  Malignancies, prothrombotic mutations, and the risk of venous thrombosis.

Authors:  Jeanet W Blom; Carine J M Doggen; Susanne Osanto; Frits R Rosendaal
Journal:  JAMA       Date:  2005-02-09       Impact factor: 56.272

7.  Prediction of venous thromboembolism in cancer patients.

Authors:  Cihan Ay; Daniela Dunkler; Christine Marosi; Alexandru-Laurentiu Chiriac; Rainer Vormittag; Ralph Simanek; Peter Quehenberger; Christoph Zielinski; Ingrid Pabinger
Journal:  Blood       Date:  2010-09-09       Impact factor: 22.113

Review 8.  Thrombosis and cancer: emerging data for the practicing oncologist.

Authors:  Gary H Lyman; Alok A Khorana; Anna Falanga
Journal:  Am Soc Clin Oncol Educ Book       Date:  2013

9.  Dynamic Thromboembolic Risk Modelling to Target Appropriate Preventative Strategies for Patients with Non-Small Cell Lung Cancer.

Authors:  Marliese Alexander; David Ball; Benjamin Solomon; Michael MacManus; Renee Manser; Bernhard Riedel; David Westerman; Sue M Evans; Rory Wolfe; Kate Burbury
Journal:  Cancers (Basel)       Date:  2019-01-08       Impact factor: 6.639

10.  The Khorana score for prediction of venous thromboembolism in cancer patients: a systematic review and meta-analysis.

Authors:  Frits I Mulder; Matteo Candeloro; Pieter W Kamphuisen; Marcello Di Nisio; Patrick M Bossuyt; Noori Guman; Kirsten Smit; Harry R Büller; Nick van Es
Journal:  Haematologica       Date:  2019-01-03       Impact factor: 11.047

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  2 in total

1.  High discrepancy in thrombotic events in non-small cell lung cancer patients with different genomic alterations.

Authors:  Yiwei Liu; Wanying Wang; Fengying Wu; Guanghui Gao; Jian Xu; Xuefei Li; Chao Zhao; Shuo Yang; Shiqi Mao; Yingying Pan; Keyi Jia; Chuchu Shao; Bin Chen; Shengxiang Ren; Caicun Zhou
Journal:  Transl Lung Cancer Res       Date:  2021-03

Review 2.  Cancer-Associated Thrombosis: A Clinical Scoping Review of the Risk Assessment Models Across Solid Tumours and Haematological Malignancies.

Authors:  Manar Mosaad; Mohamed Hassan Elnaem; Ejaz Cheema; Ismail Ibrahim; Jamalludin Ab Rahman; Ahlam Naila Kori; How Soon Hin
Journal:  Int J Gen Med       Date:  2021-07-24
  2 in total

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