Improving patient pathways for systemic lupus erythematosus: a multistakeholder pathway optimisation study.

Objective: Among the most significant challenges in SLE are the excessive diagnosis delay and the lack of coordinated care. The aim of the study was to investigate patient pathways in SLE in order to improve clinical and organisational challenges in the management of those with suspected and confirmed SLE.

Methods: We conducted a cross-sectional study of patients with SLE, healthcare providers and other representative stakeholders.

Fatigue in Systemic Lupus Erythematosus: An Update on Its Impact, Determinants and Therapeutic Management.

Fatigue is a complex and multifactorial phenomenon which is often neglected by clinicians. The aim of this review was to analyze the impact, determinants and management of fatigue in patients with Systemic Lupus Erythematosus (SLE). Fatigue is one of the most prevalent symptoms in SLE, reported by 67% to 90% of patients.

Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand?

The past decade has seen tremendous development in digital health, including in innovative new technologies such as Electronic Health Records, telemedicine, virtual visits, wearable technology and sophisticated analytical tools such as artificial intelligence (AI) and machine learning for the deep-integration of big data. In the field of rare connective tissue diseases (rCTDs), these opportunities include increased access to scarce and remote expertise, improved patient monitoring, increased participation and therapeutic adherence, better patient outcomes and patient empowerment. In this review, we discuss opportunities and key-barriers to improve application of digital health technologies in the field of autoimmune diseases.

Towards a practical management of fatigue in systemic lupus erythematosus.

Significant fatigue is reported by two-thirds of patients with SLE and severe fatigue by one-third. The assessment and treatment of fatigue remains a major challenge in SLE, especially in patients with no disease activity. Here, we suggest a practical algorithm for the management of fatigue in SLE.