Kidney TransplantationNCT03818698
Study of Eplets Matching in Kidney Transplantation
An observational study of Kidney Transplantation, run by First Affiliated Hospital Xi'an Jiaotong University at 1 site in China.
Trial 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… Read more about this study
- Who is it for?
- Ages 10 to 60 years
- Conditions the study is for
- Kidney Transplantation
- What is being tested?
- Eplets mismatching numbers
- How many people
- 1,000 participants
- Where
- 1 siteChina
- Study dates
- 1 Apr 2019to 31 Dec 2022
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 10 to 60 years
- All sexes
- No healthy volunteers
- Child, Adult
Study population: Patients after kidney transplantation.
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
China1 site
The First Affiliated Hospital of Xi'an Jiaotong University
Xi'an, Shaanxi, 710061
About this study
Official title: Application Study of Eplets Matching in Kidney Transplantation
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.
Read the detailed description
This study is a retrospective cohort study. The investigators design to analyze the HLA high-resolution typing data of kidney transplant recipients from 2014 to the end of 2017 with HLA Matchmaker for eplets mismatching number, and analyze the incidence of dnDSA and AMR after kidney transplant recipients with different eplets mismatching number post transplant, and elucidate the important role of tissue configuration patterns based on HLA eplets matching in long-term graft survival.
The study contents including the followings:
- Collecting the HLA high resolution typing data The high-resolution HLA typing data of the recipients were analyzed with the HLA Matchmaker software for Eplets mismatching numbers, and the experiment groups were conducted according to the results of Eplets mismatching numbers. Based on the normal distribution characteristics of the Eplets mismatching numbers and the references, the study is divided into the following four groups: group 1, with the Eplets mismatching numbers <5; 2. Group 2, with Eplets mismatching numbers 5-19; Group 3, with Eplets mismatching numbers 20-35; Group 4: with Eplets mismatching numbers greater than or equal to 36.
- Collecting Clinical follow-up data of patients after kidney transplantation. It mainly includes renal function, DSA level, and pathological diagnosis data of diseases and venereal diseases.
- sCr： 1 month, 6 months, 1 year, 2 years after surgery... 2) Preoperative PRA-: 1 month, 6 months, 1 year, 2 years after surgery... 3) Preoperative PRA+:2 weeks after surgery, January, march, June, September, 1 year, 2 years...
- DSA was classified according to the type of antibody: DSA of HLA A site, DSA of HLA B site, DSA of HLA C site, DSA of HLA DR site, DSA of HLA DQ site; 5) According to DSA MFI value classification：MFI<3000, 3000≤MFI<6000, 6000≤MFI<10000,MFI≥10000; 6) AMR：Pathological biopsy data collection (according to Banff 2013 standard diagnosis) 3. Statistical analysis SPSS17.0 Chinese version was used for descriptive analysis of the data. The continuous variable is represented by the mean plus or minus the standard deviation. 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.
- Conditions
- Kidney Transplantation
- Being tested
- Eplets mismatching numbers
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Eplets mismatching numbersOther
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.
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 3 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Jan 2019
- Study start1 Apr 2019
- Primary completion1 Apr 2020
- Study completion31 Dec 2022 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Kidney TransplantationStudies of the same condition, open and under way.
- More trials run by First Affiliated Hospital Xi'an Jiaotong UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 1,000 participants (estimated)
Sponsor and investigators
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03818698
- Sponsor's protocol ID
- XJTU1AF-CRF-2018-026
- Status last verified
- Aug 2021
- First submitted
- 24 Jan 2019
- Last updated
- 27 May 2022
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 27 May 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Application Study of Eplets Matching in Kidney Transplantation
- ClinicalTrials.gov ID
- NCT03818698
- Acronym / sponsor ID
- XJTU1AF-CRF-2018-026
- Conditions
- Kidney Transplantation
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,000 participants (estimated)
- Lead sponsor
- First Affiliated Hospital Xi'an Jiaotong UniversityUniversity, hospital or other
- Study start
- 1 Apr 2019 (actual)
- Primary completion
- 1 Apr 2020 (actual)
- Study completion
- 31 Dec 2022 (estimated)
- First posted
- 28 Jan 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
This study is a retrospective cohort study. The investigators design to analyze the HLA high-resolution typing data of kidney transplant recipients from 2014 to the end of 2017 with HLA Matchmaker for eplets mismatching number, and analyze the incidence of dnDSA and AMR after kidney transplant recipients with different eplets mismatching number post transplant, and elucidate the important role of tissue configuration patterns based on HLA eplets matching in long-term graft survival.
The study contents including the followings:
- Collecting the HLA high resolution typing data The high-resolution HLA typing data of the recipients were analyzed with the HLA Matchmaker software for Eplets mismatching numbers, and the experiment groups were conducted according to the results of Eplets mismatching numbers. Based on the normal distribution characteristics of the Eplets mismatching numbers and the references, the study is divided into the following four groups: group 1, with the Eplets mismatching numbers <5; 2. Group 2, with Eplets mismatching numbers 5-19; Group 3, with Eplets mismatching numbers 20-35; Group 4: with Eplets mismatching numbers greater than or equal to 36.
- Collecting Clinical follow-up data of patients after kidney transplantation. It mainly includes renal function, DSA level, and pathological diagnosis data of diseases and venereal diseases.
- sCr： 1 month, 6 months, 1 year, 2 years after surgery... 2) Preoperative PRA-: 1 month, 6 months, 1 year, 2 years after surgery... 3) Preoperative PRA+:2 weeks after surgery, January, march, June, September, 1 year, 2 years...
- DSA was classified according to the type of antibody: DSA of HLA A site, DSA of HLA B site, DSA of HLA C site, DSA of HLA DR site, DSA of HLA DQ site; 5) According to DSA MFI value classification：MFI<3000, 3000≤MFI<6000, 6000≤MFI<10000,MFI≥10000; 6) AMR：Pathological biopsy data collection (according to Banff 2013 standard diagnosis) 3. Statistical analysis SPSS17.0 Chinese version was used for descriptive analysis of the data. The continuous variable is represented by the mean plus or minus the standard deviation. 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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 10 to 60 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult
- Study population
- Patients after kidney transplantation.
Key inclusion criteria (3 listed)
- 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
Key exclusion criteria (2 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Eplets mismatching numbersIn 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. | Other | – |
Primary outcome
The occurrence of dnDSA and AMR
Time frame: 3 years
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.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 May 2022.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Kidney Transplantation, run by First Affiliated Hospital Xi'an Jiaotong University at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 27 May 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
The occurrence of dnDSA and AMR (time frame: 3 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 May 2022.