Early Prognostic Factors in Multiple Sclerosis: Clinical and Therapeutic Implications

<i>Introduction</i>: Multiple sclerosis (MS) is a chronic, inflammatory, demyelinating disease of the central nervous system with a highly heterogeneous clinical course. Early identification of patients at risk of aggressive disease progression is crucial for optimizing therapeutic strategies, including eligibility for highly effective treatments. <i>Objective</i>: The aim of this review was to synthesize current data on prognostic factors in multiple sclerosis, with particular emphasis on their significance in the early stages of the disease and potential clinical implications. <i>Methods</i>: A narrative systematic review of the literature was conducted, including observational studies, cohort studies, meta-analyses, and systematic reviews on the natural course of MS, prognostic factors, and clinical, neuroimaging, and laboratory biomarkers. We comprehensively reviewed PubMed and Scopus databases, focusing on English-language publications. Study selection prioritized longitudinal studies and meta-analyses with clear outcome definitions and sufficient follow-up. Formal quality scoring was not applied due to the narrative design of the review. <i>Results</i>: Key adverse prognostic factors include older age at onset, polysymptomatic onset, high relapse activity in the first years, incomplete remission after relapses, and the primary progressive form. Magnetic resonance imaging features, including the number and location of T2 lesions, contrast activity, the presence of spinal cord lesions, PRLs and SELs, and severe brain atrophy, also have significant predictive value. Increasing importance is being attached to laboratory biomarkers, such as oligoclonal bands, light neurofilaments, free kappa light chains, and GFAP. <i>Conclusions</i>: An integrated assessment of clinical, neuroimaging, and laboratory factors enables more effective risk stratification in patients with newly diagnosed MS. Early identification of an unfavorable prognostic profile may provide a basis for individualizing treatment and considering the use of highly effective therapies early in the course of the disease.