Home
Scholarly Works
2010 International consensus algorithm for the...
Journal article

2010 International consensus algorithm for the diagnosis, therapy and management of hereditary angioedema

Abstract

BackgroundWe published the Canadian 2003 International Consensus Algorithm for the Diagnosis, Therapy, and Management of Hereditary Angioedema (HAE; C1 inhibitor [C1-INH] deficiency) and updated this as Hereditary angioedema: a current state-of-the-art review: Canadian Hungarian 2007 International Consensus Algorithm for the Diagnosis, Therapy, and Management of Hereditary Angioedema.ObjectiveTo update the International Consensus Algorithm for the Diagnosis, Therapy and Management of Hereditary Angioedema (circa 2010).MethodsThe Canadian Hereditary Angioedema Network (CHAEN)/Réseau Canadien d'angioédème héréditaire (RCAH) http://www.haecanada.com and cosponsors University of Calgary and the Canadian Society of Allergy and Clinical Immunology (with an unrestricted educational grant from CSL Behring) held our third Conference May 15th to 16th, 2010 in Toronto Canada to update our consensus approach. The Consensus document was reviewed at the meeting and then circulated for review.ResultsThis manuscript is the 2010 International Consensus Algorithm for the Diagnosis, Therapy and Management of Hereditary Angioedema that resulted from that conference.ConclusionsConsensus approach is only an interim guide to a complex disorder such as HAE and should be replaced as soon as possible with large phase III and IV clinical trials, meta analyses, and using data base registry validation of approaches including quality of life and cost benefit analyses, followed by large head-to-head clinical trials and then evidence-based guidelines and standards for HAE disease management.

Authors

Bowen T; Cicardi M; Farkas H; Bork K; Longhurst HJ; Zuraw B; Aygoeren-Pürsün E; Craig T; Binkley K; Hebert J

Journal

Allergy, Asthma & Clinical Immunology, Vol. 6, No. 1,

Publisher

Springer Nature

Publication Date

July 28, 2010

DOI

10.1186/1710-1492-6-24

ISSN

1710-1484

Contact the Experts team