Annals of Emergency Medicine
Volume 55, Issue 4 , Pages 307-315.e1, April 2010

Clinical Features From the History and Physical Examination That Predict the Presence or Absence of Pulmonary Embolism in Symptomatic Emergency Department Patients: Results of a Prospective, Multicenter Study

Presented at the Society for Academic Emergency Medicine annual meeting, May 31, 2008, Washington, DC.

  • D. Mark Courtney, MD

      Affiliations

    • Department of Emergency Medicine, Northwestern University, Chicago, IL
  • ,
  • Jeffrey A. Kline, MD

      Affiliations

    • Department of Emergency Medicine, Carolinas Medical Center, Charlotte, NC
    • Corresponding Author InformationAddress for correspondence: Jeffrey A. Kline, MD, Department of Emergency Medicine, Carolinas Medical Center, 1000 Blythe Boulevard. Charlotte NC, 28203; 704-355-3658, Fax 704-355-7047
  • ,
  • Christopher Kabrhel, MD, MPH

      Affiliations

    • Department of Emergency Services, Massachusetts General Hospital, Boston, MA
  • ,
  • Christopher L. Moore, MD

      Affiliations

    • Department of Emergency Medicine, Yale University Medical Center, New Haven, CT
  • ,
  • Howard A. Smithline, MD

      Affiliations

    • Department of Emergency Medicine, Baystate Medical Center, Springfield MA
  • ,
  • Kristen E. Nordenholz, MD

      Affiliations

    • Department of Surgery, Division of Emergency Medicine, University of Colorado School of Health Sciences, Denver, CO
  • ,
  • Peter B. Richman, MD, MBA

      Affiliations

    • Department of Emergency Medicine, Mayo Clinic Arizona, Scottsdale, AZ
  • ,
  • Michael C. Plewa, MD

      Affiliations

    • Department of Emergency Medicine, St. Vincent Mercy Medical Center, Toledo, OH

Received 4 August 2009; received in revised form 31 October 2009; accepted 6 November 2009. published online 04 January 2010.

Study objective

Prediction rules for pulmonary embolism use variables explicitly shown to estimate the probability of pulmonary embolism. However, clinicians often use variables that have not been similarly validated, yet are implicitly believed to modify probability of pulmonary embolism. The objective of this study is to measure the predictive value of 13 implicit variables.

Methods

Patients were enrolled in a prospective cohort study from 12 centers in the United States; all had an objective test for pulmonary embolism (D-dimer, computed tomographic angiography, or ventilation-perfusion scan). Clinical features including 12 predefined previously validated (explicit) variables and 13 variables not part of existing prediction rules (implicit) were prospectively recorded at presentation. The primary outcome was venous thromboembolism (pulmonary embolism or deep venous thrombosis), diagnosed by imaging up to 45 days after enrollment. Variables with adjusted odds ratios from logistic regression with 95% confidence intervals not crossing unity were considered significant.

Results

Seven thousand nine hundred forty patients (7.2% venous thromboembolism positive) were enrolled. Mean age was 49 years (standard deviation 17 years) and 67% were female patients. Eight of 13 implicit variables were significantly associated with venous thromboembolism; those with an adjusted odds ratio (OR) greater than 1.5 included non-cancer-related thrombophilia (OR 1.99), pleuritic chest pain (OR 1.53), and family history of venous thromboembolism (OR 1.51). Implicit variables that predicted no venous thromboembolism outcome included substernal chest pain, female sex, and smoking. Nine of 12 explicit variables predicted a positive outcome of venous thromboembolism, including patient history of pulmonary embolism or deep venous thrombosis in the past, unilateral leg swelling, recent surgery, estrogen, hypoxemia, and active malignancy.

Conclusion

In symptomatic outpatients being considered for possible pulmonary embolism, non-cancer-related thrombophilia, pleuritic chest pain, and family history of venous thromboembolism increase probability of pulmonary embolism or deep venous thrombosis. Other variables that are part of existing pretest probability systems were validated as important predictors in this diverse sample of US emergency department patients.

 

 Supervising editor: Steven M. Green, MD

 Author contributions: DMC and JAK participated in the conception and organization of the study. DMC, JAK, CK, CLM, HAS, KEN, PBR, and MCP participated in data collection and analysis and drafting and revising the article. DMC, JAK, CK, CLM, HAS, PBR, and MCP obtained funding. DMC, CK, CLM, HAS, PBR, and MCP participated in the writing of the study protocol. JAK had access to all the data in the study. DMC takes responsibility for the paper as a whole.

 Funding and support: By Annals policy, all authors are required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article that might create any potential conflict of interest. See the Manuscript Submission Agreement in this issue for examples of specific conflicts covered by this statement. National Institutes of Health grants 5K23HL077404(01-05) and 1K23HL077404-01 (Dr. Courtney) and 2R42HL074415-02A1, 5R42HL074415-03, R41HL074415, R42HL074415, and R01HL074384 (Dr. Kline).

 Publication date: Available online January 1, 2010.

 Reprints not available from the authors.

 Please see page 308 for the Editor's Capsule Summary of this article.

 Provide feedback on this article at the journal's Web site, www.annemergmed.com.

PII: S0196-0644(09)01735-1

doi:10.1016/j.annemergmed.2009.11.010

Annals of Emergency Medicine
Volume 55, Issue 4 , Pages 307-315.e1, April 2010