Stoothoff, Jamie, Gleason, Kristen, McManimen, Stephanie et al. · Journal of biosensors, biomarkers and diagnostics · 2017 · DOI
This study looked at how ME/CFS progresses differently in different people. Researchers asked 541 patients to describe how their illness changed over time—whether it stayed the same, got worse, got better, or went up and down. They found that patients with different illness patterns had different symptom severity and ability to function, suggesting that grouping patients by how their illness progresses could help doctors better understand and treat the condition.
ME/CFS presents with highly variable disease courses and outcomes, making it difficult to identify homogeneous patient populations for research and treatment. This study provides evidence that classifying patients by illness trajectory may be clinically meaningful and could improve clinical trial design, prognostic accuracy, and personalized treatment approaches. Better patient stratification could accelerate research progress and help clinicians provide more targeted care.
This study does not establish what causes different illness trajectories or whether illness course predicts long-term prognosis—it captures a snapshot at one point in time. The self-reported illness classification was not verified against objective clinical data, and the cross-sectional design cannot determine whether trajectory classification causes different symptoms or is simply associated with them. Results do not prove that trajectory-based subtyping is superior to other classification methods.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
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