Risk scoring models fail to predict pulmonary embolism in trauma patients

Area of Science:

• Trauma care
• Cardiovascular diagnostics
• Pulmonary medicine

Background:

• Post-traumatic pulmonary embolism (PE) poses a diagnostic challenge.
• Identifying reliable risk factors and scoring models for PE in trauma is crucial.

Purpose of the Study:

• To evaluate the effectiveness of existing risk scoring models in identifying PE in trauma patients.
• To identify potential risk factors for post-traumatic PE.

Main Methods:

• Retrospective review of adult trauma patients who underwent CT pulmonary angiogram (CTPA) for suspected PE.
• Systematic literature search for eleven established PE risk scoring models.
• Application and comparison of identified risk scoring models to the patient cohort.

Main Results:

• 13% of trauma patients (31/235) receiving CTPA were diagnosed with PE.
• No evaluated risk scoring model achieved >90% sensitivity and specificity for PE detection.
• The Wells Score demonstrated the highest area under the curve (0.65); however, logistic regression revealed no independent association between its variables and PE.

Conclusions:

• Existing clinical variables and risk scoring models are insufficient for differentiating PE in trauma patients.
• Current diagnostic tools lack the necessary accuracy for suspected PE in this population.