- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06606522
A Clinical Diagnostic System for Intrinsic Acute Kidney Disease
September 18, 2024 updated by: Li Yang, Peking University First Hospital
A Diagnostic System of Clincial Model and Urinary Biomarkers for Intrinsic Acute Kidney Disease
The goal of this observational cross-sectional study is to develop a clinical diagnostic system for intrinsic acute kidney disease (AKD) to help clincians make non-invasive diagnosis when a kidney biopsy is not available. The main questions it aims to answer are:
- Can a clinical model comprised of common clinical indexes help diagnose AKD ?
- Can a combinition of several urinary biomarkers help diagnose AKD ? The study will be conducted in retrospective cohorts of patients with AKD undergoing kidney biopsy. The gold standard of the study is histological diagnosis of AKD. The model will be developed in a derivation cohort from one center, and will be further externally validated in a multicent cohort. The urinary biomarkers will only be tested in the derivation cohort.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
Acute kidney disease is a frequent syndrome characterized by a sudden loss of kidney function.
AKD caused by intrinsic kidney diseases are usually more severe than other causes.
The treatment of intrinsic AKD mostly depends on a definite pathological diagnosis, requiring invasive kidney biopsy which is not available in all AKD cases.
The goal of this study is to develop a clinical diagnostic system comprised of clinical model and urinary biomarkers for intrinsic AKD to help clincians make non-invasive diagnosis.
Study Type
Observational
Enrollment (Actual)
1360
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Beijing
-
Beijing, Beijing, China, 100034
- Peking University First Hospital
-
Beijing, Beijing, China, 100007
- Dongzhimen Hospital of Beijing University of Chinese Medicine
-
Beijing, Beijing, China, 101520
- Beijing Miyun District Hospital
-
-
Hebei
-
Baoding, Hebei, China, 071000
- Affliated Hospital of Hebei University
-
-
Shanxi
-
Taiyuan, Shanxi, China, 030009
- Taiyuan Central Hospital
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Adult patients with AKD undergoing kidney biopsy between Jan. 1, 2020 and Apr. 30, 2024.
Description
Inclusion Criteria:
- Adult patients with AKD undergoing kidney biopsy between Jan. 1, 2020 and Dec. 31, 2024.
Exclusion Criteria:
Patients were excluede if they
- underwent a biopsy to evaluate renal allograft rejection;
- had a history of hematopoietic stem cell transplantation;
- were diagnosed with hematological malignancy or end-stage tumor with kidney metastasis;
- were tested antineutrophil cytoplasmic autoantibody (ANCA) or double-strand DNA (dsDNA) or anti-glomerular basement membrane (GBM) antibody positive before biopsy.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Derivation cohort
Patients from Peking University First Hospital
|
Clinical model: a clinical model based on basic demorgraphic information and commonly executed laboratory tests to differentiate different pathological types of intrinsic AKD.
Urinary biomarkers: biomarkers help differentiate different pathological types of intrinsic AKD.
|
|
External Validation Cohort
Patients from other four centers
|
Clinical model: a clinical model based on basic demorgraphic information and commonly executed laboratory tests to differentiate different pathological types of intrinsic AKD.
Urinary biomarkers: biomarkers help differentiate different pathological types of intrinsic AKD.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Histological diagnosis of AKD
Time Frame: within a week after biopsy
|
Number of definite biopsy-proven histological diagnosis of AKD
|
within a week after biopsy
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Li Yang, Professor, Peking University First Hospital
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 1, 2024
Primary Completion (Actual)
June 30, 2024
Study Completion (Actual)
September 9, 2024
Study Registration Dates
First Submitted
September 9, 2024
First Submitted That Met QC Criteria
September 18, 2024
First Posted (Actual)
September 23, 2024
Study Record Updates
Last Update Posted (Actual)
September 23, 2024
Last Update Submitted That Met QC Criteria
September 18, 2024
Last Verified
August 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2024-379-002
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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