Autoimmune diseases affect a total of 5 to 10% of the population. These diseases are associated with an increased risk of developing cardiovascular pathologies. Modern cardiac imaging tools could provide a better understanding of these complications, enabling earlier diagnosis and detection of patients most at risk. Yet, the diagnostic and prognostic value of multimodal cardiac imaging in these diseases is under-researched. The current registry aimed at investigating the diagnostic and prognostic value of cardiac imaging in autoimmune and systemic disorders.

This is an observational prospective registry including patients with systemic disorders and autoimmune diseases who benefit from cardiac imaging. This is a single-center registry (Hôpital Pitié-Salpêtrière). Collected data at baseline include clinical, biological and imaging data. The study is not interventional. It includes data generated from routine care. The main objective is the characterization of the cardiovascular phenotype of patients with autoimmune, systemic and/or inflammatory diseases. Secondary objectives include the development and validation of prognostic biomarkers, the identification and quantification of specific risk factors for cardiovascular disease, and the evaluation of tolerance and efficacy of conventional and innovative therapies

Inclusion Criteria:

1. Suspected or diagnosed autoimmune, inflammatory and/or systemic disease.
2. Cross-sectional cardiac imaging including either nonenhanced cardiac computed tomography, enhanced coronary angiogram-computed tomography, or cardiac magnetic resonance imaging

Exclusion Criteria:

• Age < 18 years
• Objection to study participation
• Patient under legal protection

Suspected or diagnosed autoimmune, inflammatory and/or systemic disease.

The procedures carried out with the French data privacy authority (CNIL, Commission nationale de l'informatique et des libertés) do not provide for the transmission of the database, nor do the information and consent documents signed by the patients.

Consultation by the editorial board or interested researchers of individual participant data that underlie the results reported in the article after deidentification may nevertheless be considered, subject to prior determination of the terms and conditions of such consultation and in respect for compliance with the applicable regulations.

Beginning 3 months and ending 3 years following article publication. Requests out of these time frame can also be submitted to the sponsor

Researchers who provide a methodologically sound proposal