[Algorithm for diagnosis and treatment of hereditary angioedema as a tool for management]

Hereditary angioedema is a disease with low prevalence and high heterogeneity with regards to the severity of the clinical picture, which makes the diagnosis difficult and requires the need for early start of specific treatment in order to prevent complications.

To propose a decision algorithm for hereditary angioedema (HAE), based on the evidence available on the diagnosis, clinical assessment, and treatment. The aim is to present the available therapeutic options as well as a decision algorithm to select the most efficient therapy at each time.

Literature search by means of PubMed and other relevant sources.

four decision algorithms have been developed for HAE; diagnosis of bradikinin-mediated angioedema, treatment of acute attacks and short and long-term prophylaxis for HAE due to C1 inhibitor deficiency.

The application of a decision algorithm based on the clinical variables helps to select the most efficient therapeutic option at each time and may be a useful tool for the therapeutic approach.