Study Status: Recruiting
Recruit Status: Recruiting
Study Type: Interventional
Official Title: Algorithm for the Early Diagnosis and Treatment of Patients With Eosinophilia
Brief Summary:
Eosinophilia, defined by a blood eosinophil granulocytes rate greater than 500 / mm3, is frequently encountered in internal medicine.
Its causes are varied: atopy, drug allergies, parasitic infections, autoimmune diseases and solid neoplasias. Over 200 etiologies have been reported, some difficult to diagnose and can be life-threatening Eosinophilia can be a diagnostic dilemma, as the etiologies are extensive and varied.
The aim of this study is to assess the feasibility of a diagnostic approach based on a decision algorithm in a group of patients with eosinophilia.
We assume that a procedure with a hierarchy of additional tests would increase the frequency of diagnosed cases while decreasing the time to diagnosis.
This procedure defined by an algorithm would even reduce the number of tests necessary to reach a diagnosis.