Utility of probability scores for the diagnosis of pulmonary embolism in patients with SARS-CoV-2 infection: A systematic review

Clinical prediction models determine the pre-test probability of pulmonary embolism (PE) and assess the need for tests for these patients. Coronavirus infection is associated with a greater risk of PE, increasing its severity and conferring a worse prognosis. The pathogenesis of PE appears to be dif...

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Bibliographic Details
Published in:Revista clínica espanõla (English edition) 2023-01, Vol.223 (1), p.40-49
Main Authors: Franco-Moreno, A.I., Bustamante-Fermosel, A., Ruiz-Giardin, J.M., Muñoz-Rivas, N., Torres-Macho, J., Brown-Lavalle, D.
Format: Article
Language:English
Subjects:
Computed tomography pulmonary angiography
COVID-19
COVID-19 - complications
COVID-19 Testing
Diagnostic prediction model
Embolia pulmonar
Escala de predicción diagnóstica
Estado hipercoagulable
Humans
Hypercoagulable state
Probability
Prognosis
Pulmonary embolism
Pulmonary Embolism - diagnosis
Review
SARS-CoV-2
Thromboinflammation
Tomografía computarizada de arterias pulmonares
Tromboinflamación
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Summary:Clinical prediction models determine the pre-test probability of pulmonary embolism (PE) and assess the need for tests for these patients. Coronavirus infection is associated with a greater risk of PE, increasing its severity and conferring a worse prognosis. The pathogenesis of PE appears to be different in patients with and without SARS-CoV-2 infection. This systematic review aims to discover the utility of probability models developed for PE in patients with COVID-19 by reviewing the available literature. A literature search on the PubMed, Scopus, and EMBASE databases was carried out. All studies that reported data on the use of clinical prediction models for PE in patients with COVID-19 were included. Study quality was assessed using the Newcastle–Ottawa scale for non-randomized studies. Thirteen studies that evaluated five prediction models (Wells score, Geneva score, YEARS algorithm, and PERC and PEGeD clinical decision rules) were included. The different scales were used in 1,187 patients with COVID-19. Overall, the models showed limited predictive ability. The two-level Wells score with low (or unlikely) clinical probability in combination with a D-dimer level
ISSN:2254-8874
2254-8874
DOI:10.1016/j.rceng.2022.07.004