Wells et al developed a clinical model for predicting the probability of pulmonary embolus in a patient. The authors are from the University of Ottawa, McMaster University and Dalhousie University in Canada.
Patient selection: presence of pulmonary and/or cardiac symptoms
Typical signs and symptoms:
(1) respiratory score >= 2 based on respiratory findings present
(2) other signs and symptoms score >= 1
Respiratory findings:
(1) dyspnea or worsening of chronic dyspnea
(2) pleuritic chest pain
(3) chest pain that is nonretrosternal and nonpleuritic
(4) arterial oxygen saturation < 92% while breathing room air that corrects with oxygen supplementation < 40%
(5) hemoptysis
(6) pleural rub
respiratory score =
= SUM(number of respiratory findings present)
Other signs and symptoms:
(1) heart rate > 90 beats per minute
(2) leg symptoms of deep vein thrombosis
(3) low grade fever
(4) results of chest radiograph compatible with PE
other signs and symptoms score =
= SUM(number of other signs and symptoms present)
Severe if one or both of the following:
(1) typical signs and symptoms AND one or more severe finding
(2) severe finding 4 (new onset heart failure) AND one or more of the other severe findings
Severe findings:
(1) syncope
(2) blood pressure < 90 mm Hg with heart rate > 100 beats/minute
(3) requires ventilation or oxygen supplementation > 40%
(4) new onset right heart failure (elevated jugular venous pressure + new S1, Q3 and T3 sounds OR elevated jugular venous pressure + RBBB)
Risk factors:
(1) major surgery within 12 weeks
(2) immobilization (complete bedrest) for 3 or more days in the 4 weeks before presentation
(3) previous deep vein thrombosis or objectively diagnosed pulmonary embolism
(4) fracture of a lower extremity and immobilization of the fracture within 12 weeks
(5) strong family history of deep vein thrombosis or pulmonary embolism (>= 2 family members with objectively proven events, OR 1 first degree relative with hereditary thrombophilia)
(6) cancer (ongoing treatment, within past months, or in palliative stage)
(7) postpartum
(8) lower extremity paralysis
Signs and Symptoms |
Alternative Diagnosis to PE |
Number of Risk Factors |
Probability of PE |
---|---|---|---|
typical |
as or more likely |
0 |
low |
typical |
as or more likely |
>= 1 |
moderate |
typical |
less likely than PE |
0 |
moderate |
typical |
less likely than PE |
>= 1 |
high |
severe (typical plus) |
as or more likely |
0 |
moderate |
severe (typical plus) |
less likely than PE |
>= 1 |
high |
atypical |
as or more likely |
0 |
low |
atypical |
as or more likely |
>= 1 |
low |
atypical |
less likely than PE |
0 |
low |
atypical |
less likely than PE |
>= 1 |
moderate |
where:
• Atypical is defined as having respiratory or cardiac signs and symptoms but these do not meet the criteria for typical or severe.
If this data is reanalyzed in a different way:
Parameters:
(1) signs and symptoms
(2) alternative diagnosis
(3) number of risk factors
Parameter |
Finding |
Points |
---|---|---|
signs and symptoms |
atypical |
0 |
|
typical |
1 |
|
severe |
2 |
alternative diagnosis |
yes |
0 |
|
no |
1 |
number of risk factors |
0 |
0 |
|
1 or more |
1 |
total score =
= SUM(points for all 3 parameters)
Total Score |
Likelihood of PE |
---|---|
0 |
very low |
1 |
low |
2 |
moderate |
3 |
high |
4 |
very high |
Purpose: To determine the probability of pulmonary embolism in a patient based on the clinical model of Wells et al.
Specialty: Pulmonology
Objective: risk factors, severity, prognosis, stage, complications
ICD-10: I26,