University of Worcester Worcester Research and Publications
 
  USER PANEL:
  ABOUT THE COLLECTION:
  CONTACT DETAILS:

Dual-processing theory helps to explain delay in diagnosis of Stanford type A aortic dissection

Moffat, A., Formisano, F., Routledge, H., Bradley, Eleanor ORCID: https://orcid.org/0000-0001-5877-2298 and Wilson, D. (2022) Dual-processing theory helps to explain delay in diagnosis of Stanford type A aortic dissection. BMJ Case Reports, 15 (4). pp. 1-5. ISSN Online: 1757-790X

Full text not available from this repository. (Request a copy)

Abstract

A woman in her 70s presented with chest pain, which was initially thought to be an acute coronary syndrome but subsequently felt to be pericarditis. Chest radiography and echocardiography demonstrated striking cardiomegaly and marked biatrial dilatation, likely secondary to undiagnosed restrictive cardiomyopathy. The patient remained well on the ward for some days with only mild discomfort and stable haemodynamics. CT of the thorax went on to unexpectedly demonstrate a Stanford type A aortic dissection. The patient was promptly transferred for emergent surgery but sadly died intraoperatively.

Delayed or missed diagnosis of acute aortic dissection (AAD) is common. The dual-processing theory (DPT) of human judgement can be applied to medical decision making and used to explain this potential for diagnostic error in AAD diagnosis. A greater awareness of DPT and the role of heuristics and biases in medical decision making may help to reduce medical diagnostic error.

Item Type: Article
Additional Information:

Staff and students at the University of Worcester can access the full-text of the online published article via the online Library Search. External users should check availability with their local library or Interlibrary Requests Service.

Article Number: e242036

Uncontrolled Discrete Keywords: cartoid arteries, acute coronary syndromes, medical imaging
Divisions: Central Services > Directorate
Related URLs:
Depositing User: Eleanor Bradley
Date Deposited: 20 Jun 2022 09:26
Last Modified: 24 Oct 2024 15:15
URI: https://eprints.worc.ac.uk/id/eprint/12215

Actions (login required)

View Item View Item
 
     
Worcester Research and Publications is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.