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Munich Long COVID Registry for Children, Adolescents, and Adults

Munich Long COVID Registry for Children, Adolescents, and Adults (MLC-R)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05638724
Acronym
MLC-R
Enrollment
1000
Registered
2022-12-06
Start date
2022-07-20
Completion date
2027-07-20
Last updated
2024-02-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Post-COVID Condition

Keywords

Long COVID, Post-COVID, ME/CFS, CFS/ME, SARS-CoV-2, COVID-19

Brief summary

The MLC-R aims to create a large-scale registry that provides data on epidemiology, phenotypes, and disease trajectories of and health care for Long COVID at any age in Germany, which can be used for future clinical trials.

Detailed description

Infections with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been observed in Germany since January 2020 and can result in acute coronavirus disease 2019 (COVID-19) as well as in long-term sequela, referred to as Long COVID. The umbrella term Long COVID comprises ongoing new SARS-CoV-2-associated symptoms later than four weeks from the onset of acute COVID-19. The term Post-COVID-Condition (PCC) was introduced by the WHO and stands for ongoing or new SARS-CoV-2-associated symptoms, which persisted for at least two months. These symptoms often include fatigue, brain fog, dyspnea, orthostatic intolerance, as well as exercise intolerance, with a worsening of symptoms after mild daily activities (post-exertional malaise, PEM). PCC can severely impair daily function, social participation, and health-related quality of life. The prevalence was estimated as up to 15% in infected people with pre-Omicron variants and lower with Omicron variants. Risk factors include female gender and pre-existing morbidity, with low risk in young children. The most severe form of PCC in people with initially mild or moderate COVID-19 is myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The prevalence of ME/CFS was shown to increase in the context of the pandemic. While progress has been made in deciphering the pathogenesis of acute COVID-19, the mechanisms of Long COVID/PCC are poorly understood. Increasing evidence indicates that remaining viral particles, as well as inflammation, altered microcirculation, dysfunction of the autonomic nervous system, and/or autoimmunity, may contribute. With the web-based German MLC-R, we aim at deep phenotyping of PCC, identification of subtypes and risk factors, describing trajectories of the disease and patient journeys, and providing clinical data for future clinical trials. Patients are also invited to contribute biosamples for future translational research.

Interventions

None listed

Sponsors

Charite University, Berlin, Germany
CollaboratorOTHER
Ruhr University of Bochum, Germany
CollaboratorUNKNOWN
Technical University of Dresden, Germany
CollaboratorUNKNOWN
University of Freiburg
CollaboratorOTHER
University of Hamburg-Eppendorf
CollaboratorOTHER
Leipniz University Hannover, Germany.
CollaboratorUNKNOWN
Saarland University Homburg,Germany.
CollaboratorUNKNOWN
Friedrich Schiller University Jena, Germany
CollaboratorUNKNOWN
University of Kassel, Germany.
CollaboratorUNKNOWN
University of Cologne
CollaboratorOTHER
Technical University of Munich
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

I. Written informed consent of the patient or legal guardian. II. Confirmed SARS-CoV-2 vaccination and/or confirmed or probable SARS-CoV-2 infection: Positive SARS-CoV-2 polymerase chain reaction (PCR) or rapid antigen test (AST), documented probable COVID-19 (e.g., typical CT scan), probable COVID-19 with a history of high-risk contact, anti-SARS-CoV-2-N antibodies (and/or in non-vaccinated people -S-IgG antibodies) following probable COVID-19. III. Additional ICD-10 codes: U09.9!V: Suspected post-COVID-19 condition, unspecified; U12.9!V: suspected adverse reactions to COVID-19 vaccine use, unspecified (post-COVIDvac condition).

Exclusion criteria

* Any subsequent medical data that question the diagnosis of PCC or post-COVIDvac condition * Clinical picture can be explained by another underlying disease. * Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
Phenotyping of Post-COVID condition: Medical History5 yearsRoutine assessment of the medical history, such as current and previous medication, vaccinations, comorbidities, and more, to achieve a profound and detailed Post-COVID condition phenotype.
Phenotyping of Post-COVID condition: Physical Examination5 yearsRoutine physical examination to achieve a profound and detailed Post-COVID condition phenotype.
Phenotyping of Post-COVID condition: Laboratory Parameters5 yearsMeasurement of a routine set of laboratory parameters including blood tests (cell count, C-reactive protein, organ function, immunoglobulins, antibodies, etc.) and urine/stool analysis (calprotectin, blood) to achieve a profound Post-COVID condition phenotype.
Phenotyping of Post-COVID condition: Functional Tests5 yearsTechnical exams (e.g. pulmonary function tests, electrocardiography, ultrasound, magnetic resonance imaging, etc.) will be performed as indicated to achieve a profound and detailed Post-COVID condition phenotype.

Secondary

MeasureTime frameDescription
Definition of Sub-cohorts5 yearsSub-cohorts are identified using routine data. By means of e.g. trigger, disease severity (e.g. Bell score from the worst outcome with 0 points till the best outcome with 100 points), daily functioning (e.g. SF-36).
Analyzation of numbers of physicians involved5 yearsPatients' journeys will be analyzed in terms of the number of physicians involved
Identification of Candidate Prognostic Markers5 yearsCorrelation 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).
Prevalence of Comorbidities5 yearsPrevalence of comorbidities of patients with Post-COVID condition will be analyzed.
Evaluation of kind of spezializations of physicians involved5 yearsPatients' journeys will be analyzed in terms of the kind of specializations of physicians involved
Evaluation of kind of the latency of symptoms5 yearsPatients' journeys will be analyzed in terms of the kind of specializations of physicians involved
Evaluation of kind of the onset of therapy5 yearsPatients' journeys will be analyzed in terms of the latency from symptom onset to initiation of therapy in months.

Countries

Germany

Contacts

Primary ContactUta Behrends, Prof. Dr. med.
uta.behrends@tum.de+4989 3068 2632
Backup ContactDaniela Schindler, Dr.
daniela.schindler@tum.de+4989 4140 6995

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 7, 2026