What is the clinical risk prediction algorithm (Qthrombosis) for venous thromboembolism (VTE)?

Updated: Nov 05, 2020
  • Author: Vera A De Palo, MD, MBA, FCCP; Chief Editor: Vinod K Panchbhavi, MD, FACS, FAOA, FABOS, FAAOS  more...
  • Print

A prospective, open cohort study developed a new clinical risk prediction algorithm (QThrombosis) to assess the risk of VTE development. Using routinely collected data from 564 general practices in England and Wales, this study found that independent predictors at 1 and 5 years included the following [15] :

  • Age
  • Body mass index
  • Smoking status
  • Hospital admission in past 6 months
  • History of varicose veins
  • Congestive cardiac failure
  • Chronic renal disease
  • Cancer
  • Chronic obstructive pulmonary disease
  • Inflammatory bowel disease
  • Current prescriptions for antipsychotic drugs

Oral contraceptive use, tamoxifen use, and hormone replacement therapy were noted in the study as independent predictors in women. This risk assessment can help to identify patients at high risk for VTE and may help determine a course of treatment.

Did this answer your question?
Additional feedback? (Optional)
Thank you for your feedback!