Physicians' Academy for Cardiovascular Education

Traditional CVD risk factors should not be used to assess risk of VTE

Association of Traditional Cardiovascular Risk Factors with Venous Thromboembolism: An Individual Participant Data Meta-analysis of Prospective Studies

Literature - Mahmoodi BK, Cushman M, Næss IA, et al. - Circulation 2017; 135: 7-13

Main results


In an individual-level data meta-analysis of prospective studies, the modifiable traditional CVD risk factors were not associated with increased risk of VTE, with the exception of the association of cigarette smoking with provoked VTE. This association may be mediated through comorbid conditions such as cancer. These findings support the different pathogenesis between venous and arterial thrombotic events.

Editorial comment

In her editorial article, S. Anand [5] comments on cigarette smoking as a common risk factor for both VTEs and CVD, and on the strengths of the Mahmoodi et al publication, which include the individual-level meta-analysis methodology, the statistical power, the harmonised risk factor definitions across studies, as well as the careful measurement of the outcomes of interest. She also notes that there was no adjustment for some co-variables, such as estrogen/progesterone use in the Women’s Health Initiative study, and she concludes: ‘To summarize, we learn a great deal from the meta-analysis by Mahmoodi and colleagues, for example, that smokers have a higher risk of VTE, whereas there are no strong signals for hypertension, diabetes mellitus, and elevated cholesterol. Although the effect size is low, it is likely that many cases of VTE are caused by the presence of multiple risk factors, all with small effects (i.e. risk ratios <2.0) that increase risk above a certain threshold and clinical thrombosis develops. It also demonstrates that caution must be given to small studies and meta-analyses of small studies in which errors can be multiplied and not obviated. The best way forward to characterize risk factors for relatively uncommon conditions is to design and conduct large studies or to conduct individual-level patient meta-analyses with careful consideration of and adjustment for potential confounders.’


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Find this article online at Circulation

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