I Division of Neurology and Neurophysiopathology, Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.
Neurol Sci. 2021 Dec;42(12):4889-4892. doi: 10.1007/s10072-021-05566-8. Epub 2021 Aug 26.
COVID-19 pandemic has induced an urgent reorganization of the healthcare system to ensure continuity of care for patients affected by chronic neurological diseases including myasthenia gravis (MG). Due to the fluctuating nature of the disease, early detection of disease worsening, adverse events, and possibly life-threatening complications is mandatory. This work analyzes the main unresolved issues in the management of the myasthenic patient, the possibilities offered so far by digital technologies, and proposes an online evaluation protocol based on 4 simple tests to improve MG management. Telemedicine and Digital Technology might help neurologists in the clinical decision-making process of MG management, avoiding unnecessary in presence consultations and allowing a rational use of the time and space reduced by the pandemic.
COVID-19 大流行促使医疗体系进行紧急重组，以确保受慢性神经疾病（包括重症肌无力）影响的患者的医疗服务能够持续进行。由于疾病具有波动性，因此必须及早发现疾病恶化、不良事件以及可能危及生命的并发症。本研究分析了重症肌无力患者管理中尚未解决的主要问题、数字技术迄今提供的可能性，并提出了一种基于 4 项简单测试的在线评估方案，以改善重症肌无力的管理。远程医疗和数字技术可以帮助神经病学家在重症肌无力管理的临床决策过程中做出决策，避免不必要的当面会诊，并合理利用大流行减少的时间和空间。
