Predictors of Overtesting in Pulmonary Embolism Diagnosis
- PMID: 31155486
- PMCID: PMC6885095
- DOI: 10.1016/j.acra.2019.04.018
Predictors of Overtesting in Pulmonary Embolism Diagnosis
Abstract
Background: The benefits of computed tomography pulmonary angiography (CTPA) for pulmonary embolism (PE) diagnosis must be weighed against its risks, radiation-induced malignancy, and contrast-induced nephropathy. Appropriate use of CTPA can be assessed by monitoring yield, the percentage of tests positive for PE. We identify factors that are associated low CTPA yield, which may predict overtesting.
Methods: This was a retrospective cohort study of six emergency departments between June 2014 and February 2017. The electronic health record was queried for CTPAs ordered for adult patients in the emergency department. We assessed the following patient factors: age, gender, body mass index, number of comorbidities, race, and ethnicity, provider factors: type (resident, fellow, attending, physician assistant) and environment factors: test time of day, season of visit, and crowdedness of the department.
Results: A total of 14,782 CTPAs were reviewed, of which 1366 were found to be positive for PE, resulting in an overall CTPA yield of 9.24%. Provider type was not associated with a difference in yield. Testing was less likely to be positive in younger patients, females, those with lower body mass indexes and those identifying as Asian or Hispanic. Testing was also less likely to be positive when ordered during the overnight shift and during the winter and spring seasons.
Conclusion: Our study identified several patient and environmental factors associated with low CTPA yield suggesting potential targets for overtesting. Targeting education and clinical decision support to assist providers in these circumstances may meaningfully improve yields.
Keywords: Computed tomography pulmonary angiography; Electronic health record; Health informatics; Pulmonary embolism; Quality improvement.
Copyright © 2019 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
Comment in
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Using D-dimer and Clinical Decision Rules to Improve Pulmonary Embolism Diagnosis and Reduce the Risk of Overtesting.Acad Radiol. 2020 Dec;27(12):1791. doi: 10.1016/j.acra.2020.03.047. Epub 2020 May 15. Acad Radiol. 2020. PMID: 32423765 No abstract available.
References
-
- Venkatesh AK, Agha L, Abaluck J, et al. Trends and variation in the utilization and diagnostic yield of chest imaging for Medicare patients with suspected pulmonary embolism in the emergency department. AJR Am J Roentgenol 2018:1–6. - PubMed
-
- Horlander KT, Mannino DM, Leeper KV. Pulmonary embolism mortality in the United States, 1979-1998: an analysis using multiple-cause mortality data. Arch Intern Med 2003; 163:1711–1717. - PubMed
-
- Adams DM, Stevens SM, Woller SC, et al. Adherence to PIOPED II investigators’ recommendations for computed tomography pulmonary angiography. Am J Med 2013; 126:36–42. - PubMed
-
- Bajaj N, Bozarth AL, Guillot J, et al. Clinical features in patients with pulmonary embolism at a community hospital: analysis of 4 years of data. J Thromb Thrombolysis 2014; 37:287–292. - PubMed
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