Eosinophilia Diagnosis
Eosinophilia Diagnosis
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.
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.

 The contribution to the diagnosis of a hierarchical strategy for prescribing additional tests
 , based on clinical examination as well as some simple diagnostic tests, has never been
 evaluated

 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.

 All types of patients are tacked into account: those coming from the university hospital,
 referred by general practitioners or by other hospitals.

 In addition we address the internal medicine patients ,but also those of Hematology and
 Infectious Diseases. A comparison of these various groups would be relevant, since disorders
 that may be different.

 Once enrolled, the patient is drived by the investigator through the various steps and exams
 imposed by the algorithm.

 Indeed, during 5 months (Day1 5, 43, 71 , 85 , 99 ,113 and month 5), patient is asked to
 comply to the various exams and assessment imposed by the algorithm and that should lead to a
 diagnosis
Inclusion Criteria:

 1. Patient having one of the three following criteria:

 -  hypereosinophilia> 1500 / mm3, checked on at least two samples (interval between
 2 samples at the discretion of the clinician)

 -  or hypereosinophilia> 500 cells / mm3 and organ damage with infiltration NCB
 proven by pathological examination,

 -  or hypereosinophilia> 500 cells / mm3 and found consistently for at least six
 months (present on all controls carried out before inclusion).

 2. Patient affiliated or beneficiary of a social security system

 3. Patient who signed the informed consent

 Exclusion Criteria:

 1. Patient with solid tumors known (under chemotherapy or planned)

 2. Patient unable to understand or to adhere to the Protocol

 3. Patient unable to give consent

 4. Pregnant or breastfeeding women

 5. Patient already participating in an interventional trial