Journal article
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
- Abstract:
- Background: Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients. This study evaluated whether frequently assessed clinical outcomes via MyaLink can capture symptom variability between clinical visits. Methods: In this randomized, controlled, 12‐week study, 45 MG patients received either standard care (control, N = 15) or standard care with additional telemedical treatment (intervention, N = 30) including assessment of patient‐reported outcome measures, sensor‐based data, and patient‐physician messaging via a mobile application. Physicians performed telemedical check‐ups (TCUs) via a web‐based platform, adjusting treatment as needed. Results: In the intervention group, variability in clinical scores and sensor‐derived data was observed, particularly among those who experienced MG‐related hospitalizations or exacerbations (H&E subgroup). This subgroup showed larger MG‐ADL score fluctuations (mean range: 5.8 vs. 2.6 points), sent more messages, had more steroid dose adjustments (40% vs. 0%), and more frequent TCU interventions (93.3% vs. 60%) than the Non‐H&E subgroup. Interpretation: Telemedical platforms in MG might detect early signs of worsening. High‐risk patients (H&E subgroup) require increased medical support, which can be effectively addressed through MyaLink. Trial Registration: The study was registered under the German clinical trial registry (DRKS00029907)
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.9MB, Terms of use)
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- Publisher copy:
- 10.1002/acn3.70293
Authors
- Publisher:
- Wiley
- Journal:
- Annals of Clinical and Translational Neurology More from this journal
- Publication date:
- 2025-12-21
- Acceptance date:
- 2025-12-04
- DOI:
- EISSN:
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2328-9503
- ISSN:
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2328-9503
- Language:
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English
- Keywords:
- Pubs id:
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2360262
- UUID:
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uuid_46eeba26-14b8-4306-8289-d02e59fb357e
- Local pid:
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pubs:2360262
- Source identifiers:
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3584538
- Deposit date:
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2025-12-22
- ARK identifier:
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- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
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