The Transplant Cohort of the German Center for Infection Research

NCT ID: NCT06346665

Last Updated: 2024-04-23

Basic Information

• Recruitment Status: RECRUITING
• Total Enrollment: 3000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2016-01-31
• Study Completion Date: 2030-12-31

Brief Summary

Medical data and biological samples obtained from transplant patients are collected and managed across Germany with the help of the DZIF Transplant Cohort. The data and samples form the basis of scientific studies which investigate the connections between numerous factors influencing an organ's susceptibility to infection and organ function.

Detailed Description

Infections in transplant recipients have a decisive impact on graft function and survival of the transplant recipient, but many issues are still poorly understood. For example, little is known about the long-term consequences of many infections on graft survival/function and graft- versus-host disease (GvHD), the role of individual susceptibility to bacterial, viral and fungal colonisation under immune suppression, the evolution of the antiviral T cell repertoire, the long- term impact of antiviral therapy on graft and patient survival or changes in the physiological microbiome that may have a bearing on colonisation with pathogenic microbes. Taking advantage of the fact that most of the university hospitals with sizeable transplantation programs in Germany are also DZIF partners, we will establish a large multicentre prospective observational cohort of transplant recipients.

Conditions

Infections; Transplant Complication; Transplant Failure; Immunosuppression

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Consent
• undergone transplantation of kidney, pancreas, liver, heart or stem cells

Exclusion Criteria

• No consent

• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Hannover Medical School

OTHER

Sponsor Role: collaborator

University Hospital Heidelberg

OTHER

Sponsor Role: collaborator

Universität Tübingen

OTHER

Sponsor Role: collaborator

Klinikum der Universität München

UNKNOWN

Sponsor Role: collaborator

Max von Pettenkofer-Institut München

UNKNOWN

Sponsor Role: collaborator

Nierenzentrum Heidelberg

UNKNOWN

Sponsor Role: collaborator

Helmholtz Centre for Infection Research

OTHER

Sponsor Role: collaborator

Technical University of Munich

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Locations

Technische Universität München

München, , Germany

Site Status: RECRUITING

Countries

Germany

Central Contacts

Daniela Schindler, Dr.

Role: CONTACT

daniela.schindler@tum.de

Facility Contacts

Daniela Schindle, Dr.

Role: primary

References

Karch A, Schindler D, Kuhn-Steven A, Blaser R, Kuhn KA, Sandmann L, Sommerer C, Guba M, Heemann U, Strohaker J, Glockner S, Mikolajczyk R, Busch DH, Schulz TF; for the Transplant Cohort of the German Center for Infection Research (DZIF Transplant Cohort) Consortium. The transplant cohort of the German center for infection research (DZIF Tx-Cohort): study design and baseline characteristics. Eur J Epidemiol. 2021 Feb;36(2):233-241. doi: 10.1007/s10654-020-00715-3. Epub 2021 Jan 25.

Reference Type: RESULT

PMID: 33492549 (View on PubMed)

Sommerer C, Schroter I, Gruneberg K, Schindler D, Behnisch R, Morath C, Renders L, Heemann U, Schnitzler P, Melk A, Della Penna A, Nadalin S, Heeg K, Meuer S, Zeier M, Giese T; Transplant Cohort of the German Center for Infection Research (DZIF Transplant Cohort) Consortium. Incidences of Infectious Events in a Renal Transplant Cohort of the German Center of Infectious Diseases (DZIF). Open Forum Infect Dis. 2022 May 13;9(7):ofac243. doi: 10.1093/ofid/ofac243. eCollection 2022 Jul.

Reference Type: RESULT

PMID: 35855001 (View on PubMed)

Related Links

https://www.dzif.de/en/working-group/transplant-cohort

Transplant Cohort Website of the DZIF

Other Identifiers

DZIF Tx-Cohort

Identifier Type: -

Identifier Source: org_study_id