Berlin Registry of Neuroimmunological entities (BERLimmun): protocol of a prospective observational study

Abstract

Background Large-scale disease overarching longitudinal data are rare in the field of neuroimmunology. However, such data could aid early disease stratification, understanding disease etiology and ultimately improve treatment decisions. The Berlin Registry of Neuroimmunological Entities (BERLimmun) is a longitudinal prospective observational study, which aims to identify diagnostic, disease activity and prognostic markers and to elucidate the underlying pathobiology of neuroimmunological diseases. Methods BERLimmun is a single-center prospective observational study of planned 650 patients with neuroimmunological disease entity (e.g. but not confined to: multiple sclerosis, isolated syndromes, neuromyelitis optica spectrum disorders) and 85 healthy participants with 15 years of follow-up. The protocol comprises annual in-person visits with multimodal standardized assessments of medical history, rater-based disability staging, patient-report of lifestyle, diet, general health and disease specific symptoms, tests of motor, cognitive and visual functions, structural imaging of the neuroaxis and retina and extensive sampling of biological specimen. Discussion The BERLimmun database allows to investigate multiple key aspects of neuroimmunological diseases, such as immunological differences between diagnoses or compared to healthy participants, interrelations between findings of functional impairment and structural change, trajectories of change for different biomarkers over time and, importantly, to study determinants of the long-term disease course. BERLimmun opens an opportunity to a better understanding and distinction of neuroimmunological diseases.

Population Health Management: Leveraging it for Better Patient Outcome’s

“…The integration of technological advances (IT) into population health management offers a multimodal approach to better patient outcomes. The suggested methodology is expected to have an impact on multiple crucial domains in the healthcare industry, guaranteeing an allencompassing and efficient healthcare ecosystem [20]. The following is a breakdown of the proposed works' application areas: Chronic Disease Management: Globally, the prevalence of chronic illnesses is increasing, necessitating the development of novel approaches for their efficient management.…”