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NCT Number: NCT05638724

Munich Long COVID Registry for Children, Adolescents, and Adults

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.

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Key information

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

  1. Phenotyping of Post-COVID condition: Medical History

    Time frame: 5 years

    Routine 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.

  2. Phenotyping of Post-COVID condition: Physical Examination

    Time frame: 5 years

    Routine physical examination to achieve a profound and detailed Post-COVID condition phenotype.

  3. Phenotyping of Post-COVID condition: Laboratory Parameters

    Time frame: 5 years

    Measurement 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.

  4. Phenotyping of Post-COVID condition: Functional Tests

    Time frame: 5 years

    Technical 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 outcomes

  1. Analyzation of numbers of physicians involved

    Time frame: 5 years

    Patients' journeys will be analyzed in terms of the number of physicians involved

  2. Evaluation of kind of spezializations of physicians involved

    Time frame: 5 years

    Patients' journeys will be analyzed in terms of the kind of specializations of physicians involved

  3. Evaluation of kind of the latency of symptoms

    Time frame: 5 years

    Patients' journeys will be analyzed in terms of the kind of specializations of physicians involved

  4. Evaluation of kind of the onset of therapy

    Time frame: 5 years

    Patients' journeys will be analyzed in terms of the latency from symptom onset to initiation of therapy in months.

  5. Definition of Sub-cohorts

    Time frame: 5 years

    Sub-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).

  6. Prevalence of Comorbidities

    Time frame: 5 years

    Prevalence of comorbidities of patients with Post-COVID condition will be analyzed.

  7. Identification of Candidate Prognostic Markers

    Time frame: 5 years

    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).

Study contacts

Contact information is provided by the study sponsor or research team.

Daniela Schindler, Dr.

CONTACT

[email protected]

+4989 4140 6995

Uta Behrends, Prof. Dr. med.

CONTACT

[email protected]

+4989 3068 2632

Sponsors and collaborators

Lead sponsor

Technical University of Munich

Other

Collaborators

  • Charite University, Berlin, Germany
  • Leipniz University Hannover, Germany.
  • Ruhr University of Bochum
  • Saarland University Homburg,Germany.
  • Technische Universität Dresden
  • University of Cologne
  • University of Freiburg
  • University of Hamburg-Eppendorf
  • University of Jena
  • University of Kassel, Germany.

Registry information

Official study title

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

Acronym: MLC-R

Important dates

Study start
2022
Primary completion
2027
Study completion
2027
First posted
Dec 6, 2022
Registry last updated
Feb 15, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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