Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer...

Area of Science:

• Cardiology
• Pulmonology
• Diagnostic Imaging

Background:

• Previous research has explored complex diagnostic strategies for pulmonary embolism (PE).
• Evaluating simpler, effective diagnostic pathways is crucial for patient management.

Purpose of the Study:

• To assess the clinical effectiveness of a simplified diagnostic algorithm for suspected pulmonary embolism (PE).
• The algorithm integrates a dichotomized clinical decision rule, D-dimer testing, and computed tomography (CT).

Main Methods:

• A prospective cohort study involving 3306 patients with suspected acute pulmonary embolism (PE) across 12 Dutch centers.
• Patients were classified using a dichotomized Wells rule: 'PE unlikely' or 'PE likely'.
• Unlikely cases underwent D-dimer testing; normal results excluded PE. Other patients had CT scans for definitive diagnosis. Follow-up was for 3 months to monitor for symptomatic or fatal venous thromboembolism (VTE).

Main Results:

• Pulmonary embolism (PE) was unlikely in 66.7% of patients. A normal D-dimer test in this group (32.0% of total) led to no anticoagulation, with a 0.5% incidence of nonfatal VTE.
• Computed tomography (CT) confirmed PE in 20.4% of patients. In patients with a negative CT (45.3% of total) and no anticoagulation, the 3-month VTE incidence was 1.3%.
• The algorithm facilitated management decisions in 97.9% of cases, with a low overall risk of fatal or nonfatal VTE.

Conclusions:

• A diagnostic strategy combining a simplified clinical decision rule, D-dimer testing, and CT is effective for managing suspected pulmonary embolism (PE).
• This approach is associated with a low risk of subsequent fatal and nonfatal venous thromboembolism (VTE).