About this trial
The ME/CFS study (MECFS-R) aims to create a large-scale registry that provides data on epidemiology, phenotypes, and disease trajectories of and health care for ME/CFS at any age in Germany, which can be used for future clinical trials.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
ME/CFS diagnosis (ICD-10 G93.3) based on internationally established criteria
Informed consent by patients and/or guardian(s)
Disqualifiers
No ME/CFS (ICD-10 G93.3)
No informed consent
Trial population
Patients with ME/CFS
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Phenotyping ME/CFS: Medical History
Routine assessment of the medical history, such as current and previous medication, vaccinations, comorbidities, and more, to achieve a profound ME/CFS phenotype.
Assessment of routine physical examination findings
Routine physical examination to achieve a profound and detailed ME/CFS phenotype.
Number of participants with abnormal laboratory tests results
Measurement of a routine set of laboratory parameters including blood tests (cell count\[cell/µl\], C-reactive protein \[mg/dl\], immunoglobulins A/M/G \[md/dl\], antinuclear antibodies \[titer\], etc.) and urine/stool analysis (e.g. calprotectin \[mg/kg\], positive hemoglobin in urine test stripe) to achieve a profound ME/CFS phenotype.
Number of participants with abnormal technical exam results
Technical exams (e.g. restrictive and obstructive pattern in pulmonary function tests, conduction in electrocardiography, ultrasound imaging, magnetic resonance imaging, etc.) will be performed as indicated to achieve a profound and detailed ME/CFS phenotype.
Secondary outcomes
Evaluation of Patient Journeys
Patients' journeys will be analyzed regarding the specialization of involved physicians visited, time to diagnosis, and time to treatment.
Definition of Sub-cohorts
Using routine data, sub-cohorts will be identified.
Prevalence of Comorbidities
Prevalence of comorbidities of patients with ME/CFS will be analyzed.
Identification of Candidate Prognostic Markers
Correlation of routine clinical data (e.g., medical history, routine laboratory, and physical examination) with clinical outcome (e.g., health-related quality of life, disease severity, and social participation).
Sponsors and contacts
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Technical University of Munich
Lead sponsor
Charite University, Berlin, Germany
Collaborator