A new study published in Frontiers in Neurology utilized artificial intelligence (AI) to analyze thousands of online conversations from people living with myasthenia gravis (MG), revealing a range of experiences and emotions that differed depending on antibody subtype. While individual challenges and frustrations varied, uncertainty was a dominant theme, particularly around diagnosis, symptom management and impact on quality of life.
The majority of people with myasthenia gravis test positive for antibodies against the acetylcholine receptor (AChR), while smaller groups are positive for MuSK or LRP4 antibodies. In about 10% of patients, no known antibodies are detected. These cases are considered “seronegative” and are often difficult to diagnose.
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For the study, researchers mined nearly 11,000 public online posts in message boards, topical sites, social networks and blogs written by patients and caregivers between 2022 and 2023. Those who posted self-identified by MG serostatus (seropositive with AChR, MuSK or LRP4, or seronegative).
Using AI and natural language processing, the study authors sorted the posts into themes, identifying common emotions, barriers and coping mindsets.
Uncertainty was a central theme across all groups. But how individuals experienced uncertainty varied depending on MG serostatus.
For example, those who identified as seronegative frequently expressed confusion, frustration, and a sense of struggling, often linked to delayed or missed diagnoses. People with seropositive MG mostly posted about the impact of the disease on their lives. Additionally, there was a trend of uncertainty around symptom control and the subsequent effect on quality of life among all groups.
The study’s authors say that these online posts provide valuable information for clinicians, which in turn may help improve communication and support for their patients.
“Digital conversations across MG serostatus subgroups related to the patient/caregiver experience of living with MG might provide useful insights for healthcare professionals seeking to improve patient care,” they concluded.
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