scholarly journals Pulmonary embolism - what is new in the 2019 European Society of Cardiology guidelines

2020 ◽  
Vol 19 (2) ◽  
pp. 109-116
Author(s):  
Richard Rokyta ◽  
Martin Hutyra ◽  
Pavel Jansa
Keyword(s):  
Pulmonary Embolism ◽  
European Society ◽  
European Society Of Cardiology

scholarly journals Acute pulmonary embolism: mortality prediction by the 2014 European Society of Cardiology risk stratification model

2016 ◽  
Vol 48 (3) ◽  
pp. 780-786 ◽  
Author(s):  
Cecilia Becattini ◽  
Giancarlo Agnelli ◽  
Mareike Lankeit ◽  
Luca Masotti ◽  
Piotr Pruszczyk ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
High Risk ◽  
Risk Stratification ◽  
Negative Predictive Value ◽  
European Society ◽  
Predictive Value ◽  
Acute Pulmonary Embolism ◽  
Risk Stratification Model ◽  
Risk Patients ◽  
European Society Of Cardiology

The European Society of Cardiology (ESC) has proposed an updated risk stratification model for death in patients with acute pulmonary embolism based on clinical scores (Pulmonary Embolism Severity Index (PESI) or simplified PESI (sPESI)), right ventricle dysfunction (RVD) and elevated serum troponin (2014 ESC model).We assessed the ability of the 2014 ESC model to predict 30-day death after acute pulmonary embolism. Consecutive patients with symptomatic, confirmed pulmonary embolism included in prospective cohorts were merged in a collaborative database. Patients’ risk was classified as high (shock or hypotension), intermediate-high (RVD and elevated troponin), intermediate-low (RVD or increased troponin or none) and low (sPESI 0). Study outcomes were death and pulmonary embolism-related death at 30 days.Among 906 patients (mean±sd age 68±16, 489 females), death and pulmonary embolism-related death occurred in 7.2% and 4.1%, respectively. Death rate was 22% in “high-risk” (95% CI 14.0–29.8), 7.7% in “intermediate-high-risk” (95% CI 4.5–10.9) and 6.0% in “intermediate-low-risk” patients (95% CI 3.4–8.6). One of the 196 “low-risk” patients died (0.5%, 95% CI 0–1.0; negative predictive value 99.5%).By using the 2014 ESC model, RVD or troponin tests would be avoided in about 20% of patients (sPESI 0), preserving a high negative predictive value. Risk stratification in patients at intermediate risk requires further improvement.

Validation of the 2019 European Society of Cardiology risk stratification algorithm for pulmonary embolism in normotensive elderly patients

2021 ◽  
Author(s):  
Jeanne Moor ◽  
Christine Baumgartner ◽  
Marie Méan ◽  
Odile Stalder ◽  
Andreas Limacher ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Risk Stratification ◽  
European Society ◽  
Risk Groups ◽  
Adverse Outcomes ◽  
Low Risk ◽  
Receiver Operating Curve ◽  
European Society Of Cardiology ◽  
Related Mortality ◽  
Overall Mortality

Background: The 2019 European Society of Cardiology (ESC) guidelines recommend evaluation for right ventricular dysfunction in all normotensive patients with acute pulmonary embolism (PE). We compared the predictive performance of the 2019 and 2014 ESC risk stratification algorithms and the Pulmonary Embolism Severity Index (PESI). Methods: We performed a post-hoc analysis of normotensive patients aged ≥65 years with acute PE from a prospective cohort. The primary outcome was overall mortality; secondary outcomes were PE-related mortality and adverse outcomes (PE-related death, cardiopulmonary resuscitation, intubation, catecholamine use, recurrent venous thromboembolism) at 30 days. We assessed outcomes in intermediate-high, intermediate-low, and low risk groups according to the 2019 and 2014 ESC algorithms and the PESI. Discriminative power was compared using the area under the receiver operating curve (AUC). Results: Among 419 patients, 14 (3.3%) died (7 from PE) and 16 (3.8%) had adverse outcomes within 30 days. The 2019 ESC algorithm classified more patients as intermediate-high risk (45%) than the 2014 ESC algorithm (24%) or PESI (37%), and only 19% as low risk (32% with 2014 ESC or PESI). Discriminatory power for overall mortality was lower with the 2019 ESC algorithm (AUC 63.6%), compared to the 2014 ESC algorithm (AUC 71.5%) or PESI (AUC 75.2%), although the difference did not reach statistical significance (p=0.063). Discrimination for PE-related mortality and adverse outcomes was similar. Conclusions: While categorizing more patients in higher-risk groups, the 2019 ESC algorithm for PE did not improve prediction of short-term outcomes compared to the 2014 ESC algorithm or the PESI.

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