NCT03818698

Brief Summary

The rapid changes of tissue-typing technology, including the widely used of highly specific molecular typing methods and solid phase analysis technology for detection of alleles specific anti-HLA antibodies, promoted the selection of organ transplant recipients to a more accurate level and promoted the scientific development of organ transplant matching. At present, the graft survival rate has been greatly improved through the prevention and treatment of T-cell-mediated rejection (TCMR), but the humoral immune response, the main cause of late graft loss, is still not effectively controlled. HLA eplets matching is based on the principle that if a donor HLA antigen shares a specific epitope with a recipient's HLA antigen, that eplets will not be recognized as foreign and will therefore not provoke a humoral immune response. The selection of transplant recipients based on this principle can avoid antibody-mediated rejection (AMR), reduce sensitization after transplantation, and select the most appropriate organs to avoid pre-existing antibodies in the case of persisting HLA antibody positive recipients choosing. In this study, the HLA high-resolution typing data of kidney transplant recipients from 2014 to the end of 2017 were analyzed with HLA Matchmaker for eplets mismatching number. To analyze the incidence of dnDSA and AMR after kidney transplant recipients with different eplets mismatching number posttransplant, and to elucidate the important role of tissue configuration patterns based on HLA eplets matching in long-term graft survival.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Apr 2019

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

January 24, 2019

Completed
4 days until next milestone

First Posted

Study publicly available on registry

January 28, 2019

Completed
2 months until next milestone

Study Start

First participant enrolled

April 1, 2019

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2020

Completed
2.8 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2022

Completed
Last Updated

May 27, 2022

Status Verified

August 1, 2021

Enrollment Period

1 year

First QC Date

January 24, 2019

Last Update Submit

May 25, 2022

Conditions

Outcome Measures

Primary Outcomes (1)

  • The occurrence of dnDSA and AMR

    The chi-square test analyzed the relationship between the Eplets mismatching numbers and the generation of dnDSA, as well as the differences in the Eplets mismatching numbers between the DSA positive group and the DSA negative group, and the differences in Eplets mismatching numbers between the AMR group and the non-AMR group. Kaplan-meier survival curve was used to analyze the differences in long-term graft survival among groups with different Eplets mismatching numbers. P\<0.05 was considered statistically significant.

    3 years

Interventions

In this study, the HLA high-resolution typing data of kidney transplant recipients from 2014 to the end of 2017 were analyzed with HLA Matchmaker for eplets mismatching number. To analyze the incidence of dnDSA and AMR after kidney transplant recipients with different eplets mismatching number posttransplant, and to elucidate the important role of tissue configuration patterns based on HLA eplets matching in long-term graft survival.

Eligibility Criteria

Age10 Years - 60 Years
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64)
Sampling MethodNon-Probability Sample
Study Population

Patients after kidney transplantation.

You may qualify if:

  • Patients with normal or nearly normal renal function after transplantation
  • Patients with abnormal renal function indicators after transplantation but in a stable state without loss of function (serum creatinine 176-265 mmol/l)
  • Patients who are able to take immunosuppressive agents orally in strict accordance with the doctor's instructions and can be regularly reviewed

You may not qualify if:

  • All patients with renal transplantation function damage caused by surgical factors, medicinal factors, acute tubular necrosis (ATN) and other factors
  • Postoperative patients complicated with malignant tumors or infectious diseases such as tuberculosis and hepatitis

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

The First Affiliated Hospital of Xi'an Jiaotong University

Xi'an, Shaanxi, 710061, China

Location

Biospecimen

Retention: SAMPLES WITHOUT DNA

The biospecimen in the study is sera of recipients after kidney transplantation.

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 24, 2019

First Posted

January 28, 2019

Study Start

April 1, 2019

Primary Completion

April 1, 2020

Study Completion

December 31, 2022

Last Updated

May 27, 2022

Record last verified: 2021-08

Locations