Decision-making and challenges within the evolving treatment algorithm in spinal muscular atrophy: a clinical perspective

脊髓性肌萎缩 透视图(图形) 物理医学与康复 算法 医学 计算机科学 心理学 人工智能 形状记忆合金*
作者
Lakshmi Balaji,Michelle A. Farrar,Arlene D’Silva,Didu Kariyawasam
出处
期刊:Expert Review of Neurotherapeutics [Taylor & Francis]
卷期号:23 (7): 571-586 被引量:5
标识
DOI:10.1080/14737175.2023.2218549
摘要

Introduction The clinical application of disease modifying therapies has dramatically changed the paradigm of the management of people with spinal muscular atrophy (SMA), from sole reliance on symptomatic care directed toward the downstream consequences of muscle weakness, to proactive intervention and even preventative care.Areas covered In this perspective, the authors evaluate the contemporary therapeutic landscape of SMA and discuss the evolution of novel phenotypes and the treatment algorithm, including the key factors that define individual treatment choice and treatment response. The benefits achieved by early diagnosis and treatment through newborn screening are highlighted, alongside an appraisal of emerging prognostic methods and classification frameworks to inform clinicians, patients, and families about disease course, manage expectations, and improve care planning. A future perspective of unmet needs and challenges is provided, emphasizing the key role of research.Expert opinion SMN-augmenting therapies have improved health outcomes for people with SMA and powered the practice of personalized medicine. Within this new proactive diagnostic and treatment paradigm, new phenotypes and different disease trajectories are emerging. Ongoing collaborative research efforts to understand the biology of SMA and define optimal response are critical to refining future approaches.
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