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Semin Respir Crit Care Med 2021; 42(02): 183-198
DOI: 10.1055/s-0041-1722898
Review Article

Risk Stratification in Acute Pulmonary Embolism: The Latest Algorithms

Georgios A. Triantafyllou
1   Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
,
Oisin O'Corragain
2   Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine, Temple University Hospital, Philadelphia, Pennsylvania
,
Belinda Rivera-Lebron
1   Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
,
Parth Rali
2   Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine, Temple University Hospital, Philadelphia, Pennsylvania
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Abstract

Pulmonary embolism (PE) is a common clinical entity, which most clinicians will encounter. Appropriate risk stratification of patients is key to identify those who may benefit from reperfusion therapy. The first step in risk assessment should be the identification of hemodynamic instability and, if present, urgent patient consideration for systemic thrombolytics. In the absence of shock, there is a plethora of imaging studies, biochemical markers, and clinical scores that can be used to further assess the patients' short-term mortality risk. Integrated prediction models incorporate more information toward an individualized and precise mortality prediction. Additionally, bleeding risk scores should be utilized prior to initiation of anticoagulation and/or reperfusion therapy administration. Here, we review the latest algorithms for a comprehensive risk stratification of the patient with acute PE.

Keywords

pulmonary embolism - risk stratification - prediction tools - algorithms


Publikationsverlauf

Artikel online veröffentlicht:
06. Februar 2021

© 2021. Thieme. All rights reserved.

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