Automated Capture of Core Data for Rare Diseases and Glucocorticoid Complications: Biomarkers and Patient-Reported Outcomes

Main goal: Looking for biological markers (molecular and biochemical) that predict glucocorticoid complications using blood and urine samples. Evaluation criterion: statistical association between biological markers and the occurrence of glucocorticoid complications. Glucocorticoid-related complications are collected in a research program called "CDE.AI" (common data elements, artificial intelligence). CDE.AI aims at processing unstructured medical reports with natural language processing tools to fill in automatically forms reporting the outcome of patients with glucoocorticoid excess.

Inclusion Criteria: * Patient at least 18 years old * Currently exposed to an excess of endogenous or exogenous glucocorticoids (corticosteroid therapy) for an estimated duration of at least 3 months * Patient who has not opposed the research being conducted * Patient affiliated with a French social security scheme or a beneficiary of such a scheme Exclusion Criteria: * Patients with a progressive malignant disease * Pregnant or breastfeeding women * Patients under guardianship or curatorship * Patients under legal protection