Prognostic Imaging Biomarkers for Diabetic Kidney Disease (iBEAt)
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|ClinicalTrials.gov Identifier: NCT03716401|
Recruitment Status : Recruiting
First Posted : October 23, 2018
Last Update Posted : January 11, 2021
|First Submitted Date||March 1, 2018|
|First Posted Date||October 23, 2018|
|Last Update Posted Date||January 11, 2021|
|Actual Study Start Date||September 1, 2018|
|Estimated Primary Completion Date||September 1, 2022 (Final data collection date for primary outcome measure)|
|Current Primary Outcome Measures
||Cross-sectional (multi-centre collaboration) [ Time Frame: 2 years ]
MRI biomarkers will be combined with fluid-based biomarkers to discover radiomics features that correlate with renal function
|Original Primary Outcome Measures||Same as current|
|Current Secondary Outcome Measures
||Longitudinal (multi-centre collaboration) [ Time Frame: 4 years ]
MRI biomarkers will be combined with patient follow-up data to discover radiomics features that correlate with disease progression
|Original Secondary Outcome Measures||Same as current|
|Current Other Pre-specified Outcome Measures
|Original Other Pre-specified Outcome Measures
|Brief Title||Prognostic Imaging Biomarkers for Diabetic Kidney Disease|
|Official Title||Prognostic Imaging Biomarkers for Diabetic Kidney Disease|
Diabetic kidney disease (DKD) is a common complication of diabetes, and is now the most common form of chronic kidney disease. DKD is the leading cause of kidney disease requiring dialysis or kidney transplantation, and its global incidence and prevalence have reached epidemic levels. While the risk of developing DKD can be ameliorated by tight blood glucose and blood pressure control, it is not fully preventable and once established DKD cannot be cured. Therefore many patients are left with poor and worsening health and with increased mortality risk. Developing new ways to treat DKD requires healthcare professionals to be able to identify those patients most in need of treatment.
One promising approach for identifying patients that are at risk is the use of imaging measurements (called "biomarkers") derived from Magnetic Resonance Imaging (MRI) and Ultrasound (US) of the kidneys. Evidence from early studies shows that such imaging biomarkers can identify underlying problems in DKD such as blood supply, oxygen supply, kidney scarring and kidney function, in ways that are better than those currently available.
The investigators think that imaging biomarkers will improve the identification of patients who are likely to decline from DKD in the short term. The changes found by imaging may even happen before effects on the blood and urine.
The investigators plan to test this hypothesis by performing a study observing 500 patients with early stage DKD, recruited in 5 sites across Europe. All patients will have detailed assessment at the start of their involvement, including clinical assessment, blood and urine samples, and MRI and US scans. The investigators will look at whether imaging biomarkers are associated with other measures that predict progression in DKD, and follow patients every year for 3 years (4 years total study participation) to see if the imaging biomarkers predict worsening DKD.
Prognostic Imaging Biomarkers for Diabetic Kidney Disease (iBEAt) is a prospective observational multi-centre collaborative cohort study, conducted in 6 European countries. It will have a first phase with a cross-sectional design (for an association study - primary objective) and a second phase with a longitudinal design (for a prognostic objective - secondary objective).
All 5 recruiting centres will follow the same recruitment criteria and take the same data using a standardised methodology, including demographic, clinical and family history, medication history, blood- and urine samples as well as MRI and US. Annual follow-up visits will occur in years 2,3,4, where the same data will be collected except MRI and US (acquired only at baseline). In addition, each of the centres will acquire additional centre-specific data to address ancillary objectives.
All biofluids will be processed on site, stored temporarily and shipped in batches to a central biobank for central analysis and long-term storage (University of Lund, Malmo, Sweden). Hemoglobin, Hematocrit and HbA1c will be measured locally on fresh blood. A proportion of the biofluids will be analysed centrally to address the objectives. The remainder will be stored for future biomarker validation studies to be determined by the study Steering Committee in line with objectives of the Biomarker Enterprise to Attack DKD (BEAt-DKD).
All data generated by the study will be centralised in anonymised form in an archive hosted by the Swiss Institute of Bioinformatics. Data access will be limited to licensed study investigators and ancillary studies approved by the steering committee. MRI images will be analysed centrally in the University of Leeds to extract the imaging biomarkers.
Study personnel will be trained to initiate screening at several points in the healthcare system where the opportunity exists to identify potential study participants. Potential participants will be identified by study team staff and/or investigators after reviewing the medical records of patients being seen in clinic or in primary care for diagnosis of kidney disease in the management of their diabetes. Some sites may be selecting participants from pre-defined registries of potential patients. If necessary, a partial waiver of informed consent will be sought from the local ethics board to pre-screen these potential participants as possible, or pre-screening will be performed by the clinical care team in collaboration with the study team staff.
Pre-screening includes but is not limited to review of medical records, appointment schedules and laboratory databases with local primary care or specialty physicians as consistent with local ethics review. Specifically, study team staff and/or investigators will be trained to identify participants who satisfy the inclusion criteria. Study team staff and/or investigators will also be trained to review the medical chart for exclusion criteria.
Once pre-screened and identified, potentially eligible patients will be approached by a clinical caregiver to request permission for a study team member to initiate discussion of the iBEAt study.
As an introduction to the iBEAt study, a study team member will meet with a potential participant, assess enthusiasm for the study, and complete an eligibility questionnaire with the potential participant. Eligibility questionnaires will be inclusive of all inclusion and exclusion data points with the exception of clinical laboratory values.
When appropriate, informed consent will be obtained. For this purpose the study team member will review and explain necessary information with the potential participant in accordance with the requirements of the respective ethics review and human subject research regulations. The ethics-approved written comprehensive consent documents will be reviewed. Participants will be asked to provide consent to access their local medical record for clinical data for long-term follow-up (maximum 15 years after completion of the study), to store their anonymised data for at least 50 years for future research, and to store their anonymised samples indefinitely for future analyses.
If informed consent is obtained, a study identification number (Study ID) will be assigned and limited demographic data should be collected, including information to contact the participant if the need arises. A random urine sample will be taken at this point and submitted for local Urine Albumin Creatinine Ratio (UACR) analysis. Baseline study visit 1 (V1) can be scheduled, which should occur within 90 days. The screening/consent visit will last 30min - 2hrs depending on site.
The participant should be provided with urine collection materials for the V1 visit first morning void and advised to arrive in a fasted state (fasting for 8 hours prior to appointment), not to smoke for the 4 hours preceding the assessments, and to avoid strenuous, out of the ordinary exercise in the 24hrs before the visit. Medications (hypoglycaemic) may need to be withheld or altered for the study assessment visits to ensure participant well-being (e.g. omitting morning insulin injection to maintain blood glucose levels) and integrity of the study. If modifications are required, they will be discussed and agreed with the participant during the screening visit (to be detailed in the manual of operations).
BASELINE VISIT (Year 1)
A checklist will be administered for key activities and adherence to instructions and medication plan on the 24hrs before the visit. Blood glucose (fingertip) will be checked at the start of the visit and study assessments will not be performed if blood glucose <3.5mmol/l on arrival or if the participant reports a symptomatic hypoglycaemic event on the morning of the visit prior to arrival.
Participants will be asked to provide a urine sample. Afterwards 69,5mL blood will be collected using Standard Operating Procedures (SOPs) and collection materials provided by the central lab in a kit labelled with the study ID.
The samples will be processed locally. UACR measurement and fresh blood analysis will be performed in the local pathology lab. The rest of the samples will stored temporarily at the lab before shipment to the central lab in Malmo, Sweden. If the analysis of the baseline UACR shows a value that is inconsistent with the previous reading at screening, a 3d urine sample will be obtained at a later stage in line with local practice.
After blood and urine collections patients will receive a standardised snack and drink.
A questionnaire will be administered including demographics and medical history, and local lab values for common blood and urine biomarkers. The answers will be pre-populated before the visit with information from medical records where possible, and checked/completed with the participant. The questionnaire will be administered by an investigator and is not patient-facing.
A brief clinical exam will be performed including height, weight, waist and hip circumference, seated and standing blood pressure.
A routine MRI safety checklist will be completed with the participant, as required by local MRI practice. An MRI scan will be performed, which will take about 1 hour and will involve a contrast agent injection. The scan will be performed by a qualified research radiographer.
After MRI participants will undergo a standard renal ultrasound exam.
FOLLOW-UP VISITS (Year 2, 3, 4)
At the annual follow-up visits, all sites will perform a brief clinical exam and administer study questionnaires, collect local lab values, blood, 1st and 2nd void urine. Patient preparation, monitoring and management during the visit will be the same as for Visit 1 to ensure comparable data as in other centres that acquire blood, urine and US at Visit 1. Questionnaires will be inclusive for follow-up data points of those captured at baseline. The study participant should be advised this visit will take 1.5 - 2 hours.
In order to retain patients that are unable to attend the follow-up visits, a system will be set up to follow them up remotely (eg. by phone), and the study team will request access to their clinical records to determine their progression rates.
LONG-TERM FOLLOW-UP (Years 5-19)
Long-term outcome data may continue to be collected on an annual basis from patient's medical records, for a maximum of 15 years after the last study visit.
The key file containing the link between identifiable patient ID and anonymous study ID will be stored securely at the recruiting site. The file will be destroyed 15 years after the last study visit. All other study documentation and data will be labelled by the study ID only.
All research data will initially be recorded on paper sheets that will be stored safely in the anonymised participant file, which will be kept on record as per standard practice. The data will then be entered manually into an electronic data capture system (RedCap) and securely uploaded to a central server hosted by the Swiss Institute of Bio-informatics.
The recorded US and MRI images will be uploaded anonymously onto a central system hosted by the Swiss Institute of Bioinformatics, and reviewed by a qualified radiologist to check for incidental findings. If an incidental finding is recorded the radiologist will act according the standard clinical practices and contact the referring physician, who can then set up a management plan.
The MRI images will be processed by a trained member of the research team at Leeds University to extract the relevant imaging biomarkers. For this purpose the anonymised images will be stored temporarily on a local university PC for processing in dedicated software. All extracted imaging biomarkers will be uploaded to the participant file in the electronic data capture system RedCap hosted by the Swiss Institute of Bioinformatics. After that the local copy of the images on the University PC will be deleted.
Investigators of the recruiting site will retain access to their centrally archived data. Other selected investigators within the BEAt-DKD project, including industry collaborators, can request and obtain access to the data in accordance with the standard grant agreement of IMI projects. The data can also be made available to other researchers in the future, under conditions laid out by the iBEAT steering committee based on a review of the scientific study objectives.
HANDLING OF BLOOD- AND URINE SAMPLES
Urine and blood samples taken at baseline and follow-up visits will be sent to the local lab for processing and temporary storage. A small sample of blood and urine will be forwarded to the clinical lab for UACR reading and fresh-blood analysis, and those data will be recorded in the participants medical records. Other samples will be stored locally at -80deg awaiting regular shipments to the central biobank in Malmo.
The referring physician will review the locally analysed blood and urine readings for incidental findings and take action according to standard clinical practice if abnormal readings are found.
The central biochemical laboratory (Malmö, University of Lund) will prepare kits with sample collection and processing materials for each patient labelled and bar-coded with the study ID, and also arrange shipment from the recruiting site to Malmö. All samples will be stored in Malmö under secure conditions and monitored with a dedicated electronic sample tracking system. A small volume of blood and urine will be analysed in Malmö for known clinical biomarkers according to standardised methods, and the remainder will be stored for future analyses by BEAt-DKD investigators. The samples will also remain available for secondary research provided approval is granted by the iBEAT steering committee.
|Study Design||Observational Model: Cohort
Time Perspective: Cross-Sectional
|Target Follow-Up Duration||Not Provided|
|Biospecimen||Retention: Samples With DNA
Blood and urine samples will be collected from all study participants, including serum, plasma, DNA, and RNA samples. A first morning and additional urine void are requested by all participants
|Sampling Method||Non-Probability Sample|
|Study Population||It is the goal of this study to be as inclusive of Type 2 Diabetes as possible, to create a heterogeneous population of participants in the effort to subcategorize to the greatest extent possible for cross-sectional analysis and potential biomarker identification.|
|Condition||Diabetic Kidney Disease|
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
|Original Estimated Enrollment||Same as current|
|Estimated Study Completion Date||September 1, 2038|
|Estimated Primary Completion Date||September 1, 2022 (Final data collection date for primary outcome measure)|
|Ages||18 Years to 80 Years (Adult, Older Adult)|
|Accepts Healthy Volunteers||No|
|Listed Location Countries||Finland, France, Italy, Sweden, Switzerland, United Kingdom|
|Removed Location Countries|
|Other Study ID Numbers||219542|
|Has Data Monitoring Committee||No|
|U.S. FDA-regulated Product||
|IPD Sharing Statement||Not Provided|
|Responsible Party||Steven Sourbron, University of Leeds|
|Study Sponsor||University of Leeds|
|PRS Account||University of Leeds|
|Verification Date||January 2021|