The German Multicenter Registry for ME/CFS (MECFS-R).
Hannah HieberRafael PricocoKatrin GerrerCornelia HeindrichKatharina WiehlerLorenz Leopold MihatschMatthias HaegeleDaniela SchindlerQuirin DonathCatharina ChristaAnnika GrabbeAlissa KircherAriane LeoneYvonne MuellerHannah ZietemannHelma FreitagFranziska SotznyCordula WarlitzSilvia StojanovDaniel B R HattesohlAnna HausruckingerKirstin MittelstrassCarmen ScheibenbogenUta BehrendsPublished in: Journal of clinical medicine (2024)
Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating multisystemic disease characterized by a complex, incompletely understood etiology. Methods: To facilitate future clinical and translational research, a multicenter German ME/CFS registry (MECFS-R) was established to collect comprehensive, longitudinal, clinical, epidemiological, and laboratory data from adults, adolescents, and children in a web-based multilayer-secured database. Results: Here, we present the research protocol and first results of a pilot cohort of 174 ME/CFS patients diagnosed at two specialized tertiary fatigue centers, including 130 (74.7%) adults (mean age 38.4; SD 12.6) and 43 (25.3%) pediatric patients (mean age 15.5; SD 4.2). A viral trigger was identified in 160/174 (92.0%) cases, with SARS-CoV-2 in almost half of them. Patients exhibited severe functional and social impairment, as reflected by a median Bell Score of 30.0 (IQR 30.0 to 40.0) and a poor health-related quality of life assessed with the Short Form-36 health survey, resulting in a mean score of 40.4 (SD 20.6) for physical function and 59.1 (SD 18.8) for mental health. Conclusions: The MECFS-R provides important clinical information on ME/CFS to research and healthcare institutions. Paired with a multicenter biobank, it facilitates research on pathogenesis, diagnostic markers, and treatment options. Trial registration: ClinicalTrials.gov NCT05778006.
Keyphrases
- sars cov
- mental health
- end stage renal disease
- healthcare
- young adults
- newly diagnosed
- chronic kidney disease
- prognostic factors
- cross sectional
- peritoneal dialysis
- clinical trial
- randomized controlled trial
- study protocol
- emergency department
- palliative care
- depressive symptoms
- case report
- sleep quality
- artificial intelligence
- deep learning
- open label