Multi-center implementation of automated age-adjusted D-dimer results reduces unnecessary PE imaging

Jeffrey Dubin1, Mary Kathleen Ratay2, Matt Wilson1

  • 1MedStar Washington Hospital Center, Department of Emergency Medicine, United States of America; Georgetown University School of Medicine, United States of America.

Insights

Implementing age-adjusted D-dimer cutoffs significantly reduced imaging tests for pulmonary embolism (PE) diagnosis. This strategy improved diagnostic accuracy while decreasing the number of imaging studies performed.

Area of Science:

  • Emergency Medicine
  • Diagnostic Imaging
  • Clinical Pathology

Background:

  • Previous studies explored the clinical utility of age-adjusted D-dimer cutoffs for pulmonary embolism (PE) diagnosis.
  • The diagnostic approach for PE often involves D-dimer testing, with varying cutoff values impacting clinical decisions.

Purpose of the Study:

  • To evaluate the impact of implementing age-adjusted D-dimer cutoffs on reducing imaging tests in a large healthcare system.
  • To assess changes in test accuracy and imaging utilization post-implementation.

Main Methods:

  • A pre/post implementation study design was used, analyzing data from 6 hospitals over a 3-year period (September 2015 - September 2018).
  • Automated age-adjusted D-dimer cutoffs (Age x 0.01μg/mL for patients >50 years) were implemented on March 21, 2017.
  • Electronic Health Record data and chart reviews were conducted 1.5 years before and after implementation to compare outcomes.

Main Results:

  • Post-implementation, the proportion of positive D-dimer tests decreased (48.6% to 43.2%, p < 0.01).
  • Imaging studies were significantly reduced by 4.4% (absolute risk reduction), corresponding to 1104 fewer scans (p < 0.05).
  • Test accuracy increased from 53.7% to 59.2% (p < 0.05) after implementing age-adjusted cutoffs.

Conclusions:

  • Automated age-adjusted D-dimer cutoffs effectively reduced the need for CT and V/Q imaging in the studied population.
  • This strategy enhanced diagnostic test accuracy while decreasing imaging utilization in a multi-hospital system.
Abstract

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