Prediction of pulmonary embolism in patients with SARS-CoV-2 infection.

Abstract

OBJECTIVE\nTo determine the predictive factors of pulmonary thromboembolic (PTE) in patients with SARS-CoV-2 infection (COVID-19) assessed in the emergency department at a tertiary hospital during the first pandemic wave.\n\n\nMETHODS\nObservational single-center study conducted in a retrospective cohort of patients with confirmed SARS-CoV-2 infection (or high clinical-radiological suspicion) who underwent PTE screening by computed tomography pulmonary angiography (CTPA). Predictive factors of PTE were explored using logistic regression, creating two predictive models (without or with D-dimer values).\n\n\nRESULTS\nOut of a total of 274 CTPA performed, 70 procedures presented diagnostic findings of PTE, representing a cumulative incidence of 25.54% (95% confidence interval [CI]: 20.49-31.14). In the non-D-dimer based model, respiratory rate>22bpm (odds ratio [OR]: 3.162; 95% CI: 1.627-6.148; p=0.001) and the absence of findings suggestive of COVID-19 in plain chest X-ray (OR: 3.869; 95% CI: 0.869-17.225; p=0.076) were predictors of PTE. In the D-dimer-based model, tachypnea remained as a predictive factor (OR: 4.967; 95% CI: 2.053-12.018; p<0.001), as well as D-dimers>3,000ng/ml (OR: 7.494; 95% CI: 3.038-18.485; p<0.001).\n\n\nCONCLUSIONS\nThe presence of tachypnea (>22bpm) and the absence of radiological findings suggestive of SARS-CoV-2 infection in the chest X-ray, in addition to D-dimer values>3,000 ng/mL, were identified as predictive factors of PTE in patients with COVID-19.