The role of echocardiography in pulmonary embolism for the prediction of in-hospital mortality: a retrospective study

Author:

Spampinato Michele DomenicoORCID,Portoraro AndreaORCID,Sofia Soccorsa M.ORCID,Luppi FrancescoORCID,Benedetto MarcelloORCID,D’Angelo Luca,Galizia Giorgio,Fabbri Irma Sofia,Pagano Teresa,Perna BenedettaORCID,Guarino MatteoORCID,Passarini GiuliaORCID,Pavasini RitaORCID,Passaro AngelinaORCID,De Giorgio RobertoORCID

Abstract

Abstract Purpose Pulmonary Embolism (PE) is the third leading cause of cardiovascular death, following myocardial infarction and stroke. The latest European Society of Cardiology (ESC) guidelines on PE recommend short-term prognostic stratification based on right ventricular (RV) overload detected by transthoracic echocardiography (TTE) or contrast-enhanced chest CT. The aim of the study is to find out which of the signs of right ventricular dysfunction best predicts in-hospital mortality (IHM). Methods This is a monocentric, retrospective study including adult patients admitted from the emergency department with a c-e cCT confirmed diagnosis of PE between January 2018 and December 2022 who underwent a TTE within 48 h. Results 509 patients (median age 76 years [IQR 67–84]) were included, with 7.1% IHM. At univariate analysis, RV/LV ratio > 1 (OR 2.23, 95% CI 1.1–4.5), TAPSE < 17 mm (OR 4.73, 95% CI 2.3–9.8), the D-shape (OR 3.73, 95% CI 1.71–8.14), and LVEF < 35% (OR 5.78, 95% CI 1.72–19.47) resulted significantly correlated with IHM. However, at multivariate analysis including also haemodynamic instability, PESI class > II, and abnormal hs-cTnI levels, only LVEF < 35% (OR 5.46, 95% CI 1.32–22.61) resulted an independent predictor of IHM. Conclusion Despite the recognised role of TTE in the early management of patients with circulatory shock and suspected PE, signs of RV dysfunction have been shown to be poor predictors of IHM, whereas severely reduced LVEF is an independent risk factor for in-hospital death.

Funder

Università degli Studi di Ferrara

Publisher

Springer Science and Business Media LLC

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