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Assessing Pulmonary Embolism in the Emergency Department: The Role of the YEARS Algorithm.

Chest pain and shortness of breath are frequent reasons for visits to the emergency department and may indicate life-threatening conditions – a cannot miss being pulmonary embolism. To aid in the diagnosis and exclusion of PE, several clinical decision support tools are available including the Wells...

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Published in:Advanced Emergency Nursing Journal Vol. 48; no. 1; pp. 3 - 6
Main Authors: Davis, Philip, Alvarez, Marlen
Format: Journal Article
Published: Lippincott Williams & Wilkins Jan-Mar2026
Online Access:View this record in EBSCOhost
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      dt: Jan-Mar2026
      vid: 48
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      pub: Lippincott Williams & Wilkins
      place: Baltimore, Maryland
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        atl: Assessing Pulmonary Embolism in the Emergency Department: The Role of the YEARS Algorithm.
      aug:
        au:
          Davis, Philip
          Alvarez, Marlen
        affil: Author Affiliation: Emergency Department, Emory University Hospital, Atlanta, Georgia.
      sug:
        subj:
          Pulmonary Embolism Diagnosis
          Emergency Service
          Algorithms
          Decision Support Systems, Clinical
          Male
          Middle Age
          Chest Pain Etiology
          Dyspnea Etiology
          Case Studies
          Fibrin Fibrinogen Degradation Products
          Radiography, Thoracic
          Tomography, X-Ray Computed
          Health Resource Utilization
          Venous Thromboembolism Diagnosis
          Risk Assessment
          Middle Aged: 45-64 years
          Male
      ab: Chest pain and shortness of breath are frequent reasons for visits to the emergency department and may indicate life-threatening conditions – a cannot miss being pulmonary embolism. To aid in the diagnosis and exclusion of PE, several clinical decision support tools are available including the Wells score, PERC, Geneva score and the YEARS algorithm. The Research to Practice column critically evaluates recent studies and translates their findings, within the context of a clinical case, into actionable changes for emergency care. This article examines the findings of a recent systemic review and meta-analysis that evaluated the diagnostic accuracy of YEARS algorithm in identifying suspected PE, with a particular focus on minimizing the use of unnecessary advanced imaging.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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