A new algorithm can accurately predict a patient’s 1- and 5-year risk for venous thromboembolism (VTE) using simple clinical variables, according to a study in BMJ. The following were some of the factors predictive of incident VTE: older age, higher BMI, cigarette smoking, varicose veins, cancer, inflammatory bowel disease, renal disease, recent hospital admission, antipsychotic drug use, and tamoxifen use. The authors say the algorithm may be useful in identifying patients most likely to benefit from intervention. Perhaps it might be useful for your clinical aeroomedical practice as well.
** Development and validation of risk prediction algorithm (QThrombosis) to estimate future risk of venous thromboembolism: prospective cohort study
Julia Hippesley-Cox and Carol Couplan– BMJ- August 2011
** QThrombosis Web Calculator