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Bavarian Long COVID Registry: a Bavarian registry for Long COVID and Long COVID-like diseases

Bavarian Long COVID Registry: a Bavarian registry for Long COVID and Long COVID-like diseases - BAY-LCR

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00038232
Enrollment
Unknown
Registered
2025-12-22
Start date
2026-02-17
Completion date
Unknown
Last updated
2026-06-01

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

Conditions

U09.9 U12.9 G93.3

Interventions

Group 1: Multicenter Registry: Epidemiological, medical, and care-related data of patients with Long COVID and Long COVID-like conditions are collected as part of their routine clinical care at a part

Sponsors

Bayerisches Zentrum für präventive Infektionsmedizin
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Written and/or digital consent from the patients or, in the case of children and adolescents, written and/or digital assent from the patients and written and/or digital consent from their legal guardians. 2) Standardized diagnostics at a medical facility specialized in Long COVID due to Long COVID-like symptoms.

Exclusion criteria

Exclusion criteria: 1) Within 3 months after digital consent, no written confirmation of the consent by the patient or by a guardian (if applicable, also on behalf of the other guardian) is provided on-site at the care center or by mail. 2) The consent is withdrawn.

Design outcomes

Primary

MeasureTime frame
Primary goal: Standardization of case definitions as well as the systematic recording of symptoms to identify risk profiles in order to improve therapeutic approaches for long COVID patients.

Secondary

MeasureTime frame
Secondary Objectives 1) Generation of epidemiological, medical, and care data as a basis for innovative care concepts, political measures, and public relations 2) Definition of sub-cohorts and baseline data for clinical studies 3) Recording the frequency of comorbidities 4) Identification of diagnostic parameters to differentiate between differential diagnoses 5) Estimation of prognosis 6) Identification of treatment approaches 7) Harmonization of diagnosis 8) Harmonization of epidemiological and clinical data collection 9) Networking of dedicated treatment centers within the Free State of Bavaria 10) Prospectively improving care through training of new centers in standardized data collection 11) Assessment of the health-economic impact of Long-COVID by linking registry data with health insurance data to analyze and validate medical and economic outcomes.

Countries

Germany

Contacts

Public ContactCarina Hartmann

Münchner Chronische Fatigue Centrum für junge Menschen (MCFC) München

BAY-LCR.ki@mri.tum.de+498930682645

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Jun 11, 2026