An observational study in Renal Transplantation, Chronic Kidney Insufficiency and Healthy Controls, sponsored by University Hospital Tuebingen. Completed at 1 site in Germany. Open to participants aged 0 Years to 17 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2023-11-29.
Sponsored by University Hospital Tuebingen · Observational
This study aims to test and validate the panel of study urinary biomarker to assess whether (1) reference values differ between paediatric renal transplant patients, patients with chronic kidney disease stage IV and V (CKD IV-V) and children without any disease, (2) characteristic changes in concentration profile may be observed after event-specific injury, (3) differences between paediatric renal transplant patients with AR and other causes of AKI can be detected, and (4) stratification of renal transplant patients to different histological types of AR is possible.
Despite advances in kidney transplantation, acute rejection (AR) is one of the primary risk factors for allograft kidney injury and function deterioration, and may have a significant impact on long-term graft survival, particularly in paediatric renal transplant patients. Against the background of the limited availability of kidney donor organs, the early recognition of AR is of particular interest to improve long-term allograft survival. Renal allograft biopsy remains the current gold standard for the diagnosis of kidney transplant rejection. However, it is an invasive procedure associated with the risk of bleeding, infection of the renal allograft, arterio-venous fistula, introducing sampling error, and a large inter-observer variation. Therefore, urinary biomarkers from minimally invasive compartments would be helpful for the early detection of clinical rejection before graft functional decline occurs. The current standard monitoring of the renal transplant function includes measurements of serum-creatinine (SCr) levels, estimatedglomerular filtration rate (eGFR), and proteinuria. These markers exhibit a lack of sensitivity and specificity and are late indicators for molecular and cellular events following AR. Furthermore, conditions other than AR (viral and bacterial infection, calcineurin nephrotoxicity, acute ischemic injury) resemble similar morphological features within the renal allograft challenging detection and differentiation of the underlying process. Early treatment of AR could lead to diminished histological injury and improved functional outcome. An intensified immunosuppression management represents the main strategy to counteract the uncontrolled attack of the recipient´s immune system against the renal allograft.
Not surprisingly, many attempts have been made to develop new biomarkers to improve the precision and accuracy in detecting AR for optimizing immunosuppression management. Because allograft reactive cells can gain access to the urinary space, urine represents an appropriate biospecimen to investigate allograft injury. The study urinary biomarkers have been partially discovered and characterized in the past for detection of acute kidney injury (AKI), rarely in renal transplant patients.
This study aims to test and validate the panel of study urinary biomarker to assess whether (1) reference values differ between paediatric renal transplant patients, patients with chronic kidney disease stage IV and V (CKD IV-V) and children without any disease, (2) characteristic changes in concentration profile may be observed after event-specific injury, (3) differences between paediatric renal transplant patients with AR and other causes of AKI can be detected, and (4) stratification of renal transplant patients to different histological types of AR is possible.
3,224 studies on the registry are indexed under Renal Insufficiency, Chronic; 706 are open to participants now.
This study's enrollment of 186 is close to the median of 200 across 889 observational studies indexed under Renal Insufficiency, Chronic.
Browse Renal Insufficiency, Chronic studies →University Hospital Tuebingen is the lead sponsor of 490 studies on the registry; 108 are open to participants now.
Counted across the registry records on this site, refreshed daily.
children \< 18 years
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
i) Group 1 (patients \< 18 years of age)- obtaining reference values without any of the pre-defined events
Study patients from group 1 may be assigned to the group 2 in the following conditions:
ii) Group 2 (patients \< 18 years of age)- obtaining biomarker-specific characteristic in the presence of any of the pre-defined events
Exclusion Criteria:
i) Healthy controls
Renal transplant patients with stable renal function parameters (mean SCr (or cystatin C) or mean eGFR based on creatinine and / or cystatin C defined as changes ≤ ±15 % for at least three consecutive ambulatory controls).
Diagnostic Test: Biomarker test
Renal transplant recipients with stable renal function at inclusion, facing a pre-defined event during the course of the study. Pre-defined events are Acute Rejection (AR), viral transplant-associated infection (e.g. BKV), bacterial infection (febrile urinary tract infection (fUTI)), calcineurin-inhibitor (CNI) toxicity, and acute tubular necrosis (ATN).
Diagnostic Test: Biomarker test
Patients with CKD IV-V (and maintained urine output, without renal replacement therapy and without pre-defined events).
Diagnostic Test: Biomarker test
Healthy children serve as control group
Diagnostic Test: Biomarker test
collection of 500µl to 1 ml of a spot urine sample
Change of serum creatinine level [mg/dl]
Standard surveillance parameter of kidney function / renal allograft
Time frame: from Baseline up to 18 months
Change of serum urea level [mg/dl]
Standard surveillance parameter of kidney function / renal allograft
Time frame: from Baseline up to 18 months
Change of serum Cystatin C level [mg/l]
Standard surveillance parameter of kidney function / renal allograft
Time frame: from Baseline up to 18 months
Measurement of urine creatinine level [g/l]
Standard surveillance parameter of renal function / renal allograft. All urinary study biomarkers (see below) will be correlated to urine creatinine level \[ng/mg Creatinine\] and compared with standard surveillance parameters of kidney function / renal allograft (see Outcome 1-3).
Time frame: from Baseline up to 18 months
Change of urine alpha-1-Microglobulin (A1M)
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Aquaporin 2 (AQP2) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Caldesmon [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Clusterin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Cystatin C [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Interleukin 9 (IL-9) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Kidney injury molecule 1 (Kim-1) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Nephrin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Neutrophil gelatinase-associated lipocalin (NGAL) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Osteopontin (OPN) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine P-selectin (SELP) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Podocin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Retinol-binding protein 4 (RBP4) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Smoothelin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine Synaptopodin [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine tumour necrosis factor alpha (TNF-α) [ng/ml]
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Change of urine vascular cell adhesion molecule-1 (VCAM-1)
Urinary study biomarker. The performance (sensitivity, specificity, positive predictive value and negative predictive value) for detection of kidney / graft deterioration will be calculated using receiver operator characteristics (ROC) curves.
Time frame: from Baseline up to 18 months
Plan to share: No
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Ran from Jun 2021 to primary completion in Feb 2023, 20 months.
Of 288 non-industry observational studies under Renal Insufficiency, Chronic, half reached primary completion within 48 months of starting (the median), counting those still running; a quarter within 21 and three quarters within 191. This study's 20 months is below that.
Counting every sponsor, half of 345 studies reached it within 40 months; a quarter within 20 and three quarters within 128.
How these figures are worked out, and which studies are left out of them.
This study is completed, as verified in Nov 2023. You cannot join it, but the record below documents what was studied.
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