Literature DB >> 19769681

Selection of medical patients for prophylaxis of venous thromboembolism based on analysis of the benefit-hazard ratio.

J A Millar1.   

Abstract

BACKGROUND: Medical patients may benefit from anticoagulant prophylaxis of venous thromboembolism (VTE), but assessment of thrombotic risk is complex. I describe a method for estimating the minimum thrombotic risk required to ensure that a reasonable benefit-hazard ratio is maintained.
METHODS: An equation was derived relating baseline VTE risk and a minimum acceptable benefit-hazard ratio (R), defined as 'pulmonary embolus (PE) alone', 'PE or symptomatic proximal deep venous thrombosis (DVT)', or 'PE or any symptomatic DVT' prevented per major bleeding. The equation was used to estimate the relative risk (RR) of thromboembolism required for net benefit (main outcome measure). The PREVENT study was the primary data source, backed by data from two meta-analyses.
RESULTS: For R ranging from 3 to 10, the RR required for net beneficial prophylaxis was 6.5-21.6 (PE alone); 3.0-9.9 (PE or symptomatic proximal DVT); and 2.3-7.6 (PE or any symptomatic DVT), respectively. These RR are possible only in the presence of risk factors of high weighting. Sensitivity analysis showed that the findings were robust to changes in baseline assumptions related to thrombosis and bleeding rates.
CONCLUSION: A method for risk assessment for medical thromboprophylaxis has been developed. The results suggest that only a minority of medical patients with high RR should receive prophylaxis.

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Year:  2009        PMID: 19769681     DOI: 10.1111/j.1445-5994.2008.01796.x

Source DB:  PubMed          Journal:  Intern Med J        ISSN: 1444-0903            Impact factor:   2.048


  2 in total

1.  Current state of medical thromboprophylaxis in Australia.

Authors:  Sophie E Noel; J Alasdair Millar
Journal:  Australas Med J       Date:  2014-02-28

2.  Measures of risk and their relationship to the relative size of a high-risk group: application to medical thromboprophylaxis.

Authors:  J Alasdair Millar
Journal:  Clin Epidemiol       Date:  2012-10-31       Impact factor: 4.790

  2 in total

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