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Characteristics associated with diagnostic yield of imaging for deep venous thrombosis and pulmonary embolism in the emergency department, hospital, and office settings: An Optum Clinformatics claims database study (2015-2019).
Rohatgi, Nidhi; Dahlen, Alex; Berube, Caroline; Weng, Yingjie; Wintermark, Max; Ahuja, Neera.
Afiliación
  • Rohatgi N; Division of Hospital Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: nrohatgi@stanford.edu.
  • Dahlen A; Quantitative Sciences Unit, Division of Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Berube C; Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Weng Y; Quantitative Sciences Unit, Division of Biomedical Informatics Research, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
  • Wintermark M; Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
  • Ahuja N; Division of Hospital Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Thromb Res ; 224: 4-12, 2023 04.
Article en En | MEDLINE | ID: mdl-36774701
ABSTRACT

BACKGROUND:

Different patient characteristics influence the decision to order diagnostic imaging for deep venous thrombosis (DVT) and pulmonary embolism (PE) in different settings (emergency department (ED), hospital, and office). Diagnostic yield is defined as the proportion of tests that report positive results. We hypothesize different patient characteristics are associated with higher or lower diagnostic yield of imaging for DVT and PE in different settings.

METHODS:

We used Optum Clinformatics™ national claims database (2015-2019) to assess the diagnostic yield of imaging for DVT and PE in three settings (a) ED discharge, (b) Hospitalized, and (c) Office. We studied the patient characteristics associated with diagnostic yield using logistic regression.

RESULTS:

Diagnostic imaging for DVT and PE was performed in 1,502,417 and 710,263 visits, respectively. Diagnostic yield for DVT and PE was 9.8 ± 0.1 % and 12.7 ± 0.1 %, respectively in the overall cohort. In the ED discharge, hospitalized, and office settings, diagnostic yield for DVT was 10.4 ± 0.1 %, 16.9 ± 0.1 %, and 6.5 ± 0.1 %, respectively, and that for PE 6.4 ± 0.1 %, 18.7 ± 0.1 %, and 8.8 ± 0.2 %, respectively. Of the patients who underwent imaging for DVT, higher diagnostic yield was more likely with thrombophilia, central venous access, and cancer. Of the patients who underwent imaging for PE, higher diagnostic yield was most likely with thrombophilia, respiratory failure, and heart failure or acute myocardial infarction.

CONCLUSIONS:

In each setting, different patient characteristics influence the diagnostic yield of imaging for DVT and PE and can inform clinical practice. Judicious use of imaging for DVT and PE could reduce costs and avoid exposure to radiation and contrast.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Embolia Pulmonar / Trombofilia / Trombosis de la Vena Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Thromb Res Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Embolia Pulmonar / Trombofilia / Trombosis de la Vena Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Thromb Res Año: 2023 Tipo del documento: Article