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      A clinical prediction model for cancer-associated venous thromboembolism: a development and validation study in two independent prospective cohorts

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          Abstract

          Venous thromboembolism (VTE) is a frequent complication of cancer, however the risk is highly variable among individuals depending on various factors, including types of cancer. To enable a personalized risk prediction of VTE we developed and externally validated a clinical prediction model for cancer-associated VTE. The prospective Vienna Cancer and Thrombosis Study (CATS, n=1,423) was used for model development, and the prospective Multinational cohort study to Identify Cancer patients at risk of VTE (MICA, n=832) was used for external validation. Primary outcome was objectively confirmed VTE at 6 months. The cumulative 6-month VTE risk was 5·7% in CATS (95% CI: 4·5-6·9), and 6·3% (95%CI: 4·7-8·2) in MICA. Tumor sites were categorized into low/intermediate, high, and very high VTE categories. Predictive variables were selected from a broad set of clinical and laboratory factors. The final prediction model included two variables: tumor site category (hazard ratio for “high” vs. “low/intermediate”, and “very high” versus “high” VTE-risk tumor site=1·96 (95% CI: 1·41-2·72, p=0·0001). and D-Dimer (hazard ratio per doubling=1·32, 95% CI: 1·12-1·56, p=0·001). The C-Indices of the model were 0·66 (95%: 0·63-0·67) in internal validation (CATS), and 0·68 (95%: 0·62-0·74) in external validation (MICA), respectively. The clinical prediction model was adequately calibrated in both cohorts. An externally-validated clinical prediction model incorporating only one clinical factor (tumor site category) and one biomarker (D-Dimer) predicts the risk of VTE in ambulatory patients with solid cancers. This simple model considerably improves on previous models for predicting cancer-associated VTE, and can aid physicians in selecting patients who will likely benefit from thromboprophylaxis. Austrian Science Fund, Austrian National Bank Memorial Fund, Unrestricted grants from participating hospitals

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          Author and article information

          Journal
          The Lancet Haematology
          The Lancet Haematology
          Elsevier BV
          23523026
          July 2018
          July 2018
          : 5
          : 7
          : e289-e298
          Article
          10.1016/S2352-3026(18)30063-2
          7338218
          29885940
          db4549af-0bf6-42ef-a2ed-ff6565ace439
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

          http://creativecommons.org/licenses/by/4.0/

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