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How to predict prognosis in patients with acute pulmonary embolism? Recent advances.
Silva, Beatriz Valente; Calé, Rita; Menezes, Miguel Nobre; Jorge, Cláudia; Pinto, Fausto J; Caldeira, Daniel.
Afiliação
  • Silva BV; Department of Cardiology, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal. dgcaldeira@hotmail.com.
  • Calé R; Department of Cardiology, Hospital Garcia de Orta, Almada, Portugal.
  • Menezes MN; Department of Cardiology, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
  • Jorge C; Centro Cardiovascular da Universidade de Lisboa (CCUL@RISE), CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
  • Pinto FJ; Department of Cardiology, Centro Hospitalar Universitário Lisboa Norte, CAML, CCUL, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
  • Caldeira D; Centro Cardiovascular da Universidade de Lisboa (CCUL@RISE), CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
Kardiol Pol ; 81(7-8): 684-691, 2023.
Article em En | MEDLINE | ID: mdl-37366261
Pulmonary embolism (PE) is the third most frequent cardiovascular disease, characterized by a wide range of presentations and clinical courses. Prognostic assessment is a cornerstone of PE management as it determines the choice of both diagnostic and therapeutic strategies. During the previous decades significant efforts have been made to safely select patients for early discharge or home treatment, but appropriate risk stratification, particularly of intermediate-risk patients, remains challenging. In addition to the guideline-recommended clinical prediction rules, such as Pulmonary Embolism Severity Index (PESI), simplified PESI (sPESI), and/or Hestia criteria, a multimodality approach based also on biomarkers and cardiac imaging is crucial for risk-stratification and for selecting appropriate management of patients. In this review article, we discuss the current methods for predicting short and long-term prognosis in PE patients, focusing on the current guidelines, but also on the most recently proposed clinical prediction rules, biomarkers, and imaging parameters.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Embolia Pulmonar Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Kardiol Pol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Portugal

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Embolia Pulmonar Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Kardiol Pol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Portugal