• Sameer Sharif, Michelle Eventov, Clive Kearon, Sameer Parpia, Meirui Li, River Jiang, Paula Sneath, Carmen Otero Fuentes, Christopher Marriott, and de Wit Kerstin K Department of Medicine, Division of Emergency Medicine McMaster University, Canada..
• Department of Medicine, Division of Emergency Medicine McMaster University, Canada. Electronic address: sameer.sharif@medportal.ca.
• Am J Emerg Med. 2019 May 1; 37 (5): 845-850.

BackgroundDiagnosing pulmonary embolism (PE) in the emergency department (ED) can be challenging because its signs and symptoms are non-specific.ObjectiveWe compared the efficacy and safety of using age-adjusted D-dimer interpretation, clinical probability-adjusted D-dimer interpretation and standard D-dimer approach to exclude PE in ED patients.Design/MethodsWe performed a health records review at two emergency departments over a two-year period. We reviewed all cases where patients had a D-dimer ordered to test for PE or underwent CT or VQ scanning for PE. PE was considered to be present during the emergency department visit if PE was diagnosed on CT or VQ (subsegmental level or above), or if the patient was subsequently found to have PE or deep vein thrombosis during the next 30 days. We applied the three D-dimer approaches to the low and moderate probability patients. The primary outcome was exclusion of PE with each rule. Secondary objective was to estimate the negative predictive value (NPV) for each rule.Results1163 emergency patients were tested for PE and 1075 patients were eligible for inclusion in our analysis. PE was excluded in 70.4% (95% CI 67.6-73.0%), 80.3% (95% CI 77.9-82.6%) and 68.9%; (95% CI 65.7-71.3%) with the age-adjusted, clinical probability-adjusted and standard D-dimer approach. The NPVs were 99.7% (95% CI 99.0-99.9%), 99.1% (95% CI 98.3-99.5%) and 100% (95% CI 99.4-100.0%) respectively.ConclusionThe clinical probability-adjusted rule appears to exclude PE in a greater proportion of patients, with a very small reduction in the negative predictive value.Crown Copyright © 2018. Published by Elsevier Inc. All rights reserved.

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