Purpose: Well’s Criteria was developed in order to predict the likelihood of the presence of a deep vein thrombosis (DVT) prior to radiological intervention.


Clinical Characteristic Score
Active cancer (patient receiving treatment for cancer within the previous 6 mo or currently receiving palliative treatment) +1
Paralysis, paresis, or recent plaster immobilization of the lower extremities +1
Recently bedridden for 3 days or more, or major surgery within the previous 12 wk requiring general or regional anesthesia +1
Localized tenderness along the distribution of the deep venous system +1
Entire leg swollen +1
Calf swelling at least 3 cm larger than that on the asymptomatic side (measured 10 cm below tibial tuberosity) +1
Pitting edema confined to the symptomatic leg +1
Collateral superficial veins (nonvaricose) +1
Previously documented deep-vein thrombosis +1
Alternative diagnosis at least as likely as deep-vein thrombosis -2

> 3: High Probability
1-2: Moderate Probability
0: Low Probability


1. Hargett CW, et al. Clinical probability and D-dimer testing: How should we use them in clinical practice? Semin Respir Crit Care Med. 2008; 29(1): 15–24.

2. Wells PS, et al. Evaluation of D-dimer in the diagnosis of suspected deep-vein thrombosis. The New England Journal of Medicine. 2003; 349(13): 1227-1235. doi:10.1056/NEJMoa023153.

3. Wells PS, et al. Value of assessment of pretest probability of deep-vein thrombosis in clinical management. Lancet. 1997; 350: 1795-1798.

Continued Learning…

screen shot 2019-01-13 at 2.44.59 pm screen shot 2019-01-13 at 2.47.03 pm

screen shot 2019-01-13 at 1.52.39 pm

Continued Reading…


Screen Shot 2019-01-01 at 12.03.37 PM

1 comment

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

%d bloggers like this: