| Literature DB >> 32170039 |
M Yousuf Salmasi1, Nina Al-Saadi2, Philip Hartley2, Omar A Jarral2, Shahzad Raja3, Muthana Hussein4, Julian Redhead5, Ulrich Rosendahl3, Christoph A Nienaber6, John R Pepper3, Aung Y Oo7, Thanos Athanasiou2.
Abstract
Acute aortic syndrome and in particular aortic dissection (AAD) persists as a cause of significant morbidity and mortality despite improvements in surgical management. This clinical review aims to explore the risks of misdiagnosis, outcomes associated with misdiagnosis and evaluate current diagnostic methods for reducing its incidence.Due to the nature of the pathology, misdiagnosing the condition and delaying management can dramatically worsen patient outcomes. Several diagnostic challenges exist, including low prevalence, rapidly propagating pathology, non-discrete symptomatology, non-specific signs, analogy with other acute conditions and lack of management infrastructure. A similarity to acute coronary syndromes is a specific concern and risks patient maltreatment. AAD with malperfusion syndromes are both a cause of misdiagnosis and marker of disease complication, requiring specifically tailored management plans from the emergency setting.Despite improvements in diagnostic measures, including imaging modalities and biomarkers, misdiagnosis of AAD remains commonplace and current guidelines are relatively limited in preventing its occurrence. This paper recommends the early use of AAD risk scoring, focused echocardiography and most importantly, fast-tracking patients to cross-sectional imaging where the suspicion of AAD is high. This has the potential to improve the diagnostic process for AAD and limit the risk of misdiagnosis. However, our understanding remains limited by the lack of large patient datasets and an adequately audited processes of emergency department practice. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: aortic dissection or intramural hematoma; cardiac computer tomographic (CT) imaging; cardiac imaging and diagnostics
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Year: 2020 PMID: 32170039 DOI: 10.1136/heartjnl-2019-316322
Source DB: PubMed Journal: Heart ISSN: 1355-6037 Impact factor: 5.994