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Updated: Jun 18, 2026

A Porcine Model of Acute Autologous Pulmonary Embolism
Published on: September 6, 2024
Prognostic factors for pulmonary embolism: the prep study, a prospective multicenter cohort study
Olivier Sanchez1, Ludovic Trinquart, Vincent Caille
1Service de Pneumologie et Soins Intensifs, Hôpital Européen Georges Pompidou, 20 rue Leblanc 75015 Paris, France. olivier.sanchez@egp.aphp.fr
Pulmonary embolism (PE) prognosis is improved by a new score. This tool uses clinical, echocardiographic, and biochemical data to predict adverse events in PE patients, aiding risk stratification.
Area of Science:
- Cardiology
- Pulmonary Medicine
- Critical Care Medicine
Background:
- Short-term prognosis for pulmonary embolism (PE) is influenced by hemodynamic status and comorbidities.
- The prognostic significance of right ventricular dysfunction and injury in PE remains less understood.
Purpose of the Study:
- To identify and evaluate prognostic factors for adverse outcomes in patients with acute pulmonary embolism (PE).
- To develop a predictive model for 30-day adverse events in PE patients using a multicenter prospective cohort.
Main Methods:
- Prospective enrollment of 570 consecutive patients diagnosed with acute PE.
- Collected data included echocardiography, brain natriuretic peptide (BNP), N-terminal-proBNP, and cardiac troponin I levels on admission.
- A predictive model was constructed using independent predictors of 30-day adverse events (death, shock, or recurrent VTE).
Main Results:
- The 30-day adverse event rate was 7.4% (42 patients).
- Independent predictors of adverse events included altered mental state, shock on admission, cancer, elevated BNP, and increased right/left ventricle diameter ratio.
- The predictive model demonstrated good performance (AUC 0.84), enabling the development of a bedside prognostic score.
Conclusions:
- Brain natriuretic peptide (BNP) and echocardiographic findings are valuable in determining short-term outcomes for PE patients.
- A simple prognostic score integrating clinical, echocardiographic, and biochemical variables can stratify PE patients by initial risk of adverse outcomes.
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