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Computed Tomography Pulmonary Perfusion for Prediction of Short-Term Clinical Outcome in Acute Pulmonary Embolism

Overview
Journal TH Open
Publisher Thieme
Date 2021 Feb 15
PMID 33585787
Citations 1
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Abstract

 Computed tomography pulmonary angiography (CTPA) is the imaging modality of choice for the diagnosis of acute pulmonary embolism (PE). With computed tomography pulmonary perfusion (CTPP) additional information on lung perfusion can be assessed, but its value in PE risk stratification is unknown. We aimed to evaluate the correlation between CTPP-assessed perfusion defect score (PDS) and clinical presentation and its predictive value for adverse short-term outcome of acute PE.  This was an exploratory, observational study in 100 hemodynamically stable patients with CTPA-confirmed acute PE in whom CTPP was performed as part of routine clinical practice. We calculated the difference between the mean PDS in patients with versus without chest pain, dyspnea, and hemoptysis and 7-day adverse outcome. Multivariable logistic regression analysis and likelihood-ratio test were used to assess the added predictive value of PDS to CTPA parameters of right ventricle dysfunction and total thrombus load, for intensive care unit admission, reperfusion therapy and PE-related death.  We found no correlation between PDS and clinical symptoms. PDS was correlated to reperfusion therapy (  = 4 with 16% higher PDS, 95% confidence interval [CI]: 3.5-28%) and PE-related mortality (  = 2 with 22% higher PDS, 95% CI: 4.9-38). Moreover, PDS had an added predictive value to CTPA assessment for PE-related mortality (from Chi-square 14 to 19,  = 0.02).  CTPP-assessed PDS was not correlated to clinical presentation of acute PE. However, PDS was correlated to reperfusion therapy and PE-related mortality and had an added predictive value to CTPA-reading for PE-related mortality; this added value needs to be demonstrated in larger studies.

Citing Articles

Predictive Value of Pulmonary Artery Distensibility for Short-Term Adverse Clinical Outcomes in Patients with Acute Pulmonary Embolism.

Yang F, Chen R, Yang Y, Yu Y, Yang Z, Zou D Clin Appl Thromb Hemost. 2024; 30:10760296231224344.

PMID: 38166421 PMC: 10768579. DOI: 10.1177/10760296231224344.

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