Have a personal or library account? Click to login
Large-vessel Giant Cell Arteritis: A Rare Cause of Acute Upper Limb Ischemia – Case Presentation and Review of the Literature Cover

Large-vessel Giant Cell Arteritis: A Rare Cause of Acute Upper Limb Ischemia – Case Presentation and Review of the Literature

Open Access
|Jan 2020

Abstract

Introduction: Acute upper extremity ischemia is an uncommon vascular emergency due to a relatively rich collateral network and low workload of the upper limb. Its consequences depend on the site and etiology of the arterial occlusion.

Case presentation: Aiming to emphasize the emerging role of Doppler ultrasound in the diagnosis of acute upper limb ischemia, we report the case of a 70-year-old female, with severe left arm resting pain and digital cyanosis. Due to the patient’s age and the presence of cardiovascular risk factors, cardioembolic or thrombotic arterial occlusion would have been the most likely diagnosis in this case, but the color Doppler ultrasound revealed severe left axillary arterial stenosis with hypoechoic wall swelling, being highly suggestive for arteritis. Temporal artery biopsy was performed, which confirmed giant cell arteritis. An excellent clinical response was obtained after initiation of treatment.

Conclusion: In acute upper limb ischemia, color duplex ultrasound provides quick information about the etiology and localization of arterial lesions, offering characteristic findings in case of large-vessel giant cell arteritis.

DOI: https://doi.org/10.2478/jce-2019-0017 | Journal eISSN: 2457-5518 | Journal ISSN: 2457-550X
Language: English
Page range: 148 - 153
Submitted on: Sep 7, 2019
Accepted on: Nov 30, 2019
Published on: Jan 21, 2020
Published by: Asociatia Transilvana de Terapie Transvasculara si Transplant KARDIOMED
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Katalin Makó, Corina Ureche, Emőke Horváth, published by Asociatia Transilvana de Terapie Transvasculara si Transplant KARDIOMED
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.