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Trial registered on ANZCTR
Registration number
ACTRN12615000955516
Ethics application status
Approved
Date submitted
31/07/2015
Date registered
11/09/2015
Date last updated
15/06/2021
Date data sharing statement initially provided
26/04/2019
Type of registration
Prospectively registered
Titles & IDs
Public title
The IDENTAKIT-HF trial: Identification of optimal markers of Acute Kidney Injury (AKI) in patients with Acute Decompensated Heart Failure (ADHF)
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Scientific title
Identification of optimal urine and blood biomarkers of acute kidney injury (AKI) in patients with Acute Decompensated Heart Failure (ADHF)
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Secondary ID [1]
287178
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none
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Universal Trial Number (UTN)
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Trial acronym
The IDENTAKIT-HF trial
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
acute decompensated heart failure
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acute kidney injury
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Condition category
Condition code
Cardiovascular
296025
296025
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0
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Other cardiovascular diseases
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Renal and Urogenital
296026
296026
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0
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Kidney disease
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
The IDENTAKIT-HF study is a multicentre longitudinal prospective cohort study of a panel of promising candidate urine and blood biomarkers of evolving Acute Kidney Injury (AKI) to establish the temporal profiles of selected renal injury biomarkers in Acute Decompensated Heart Failure (ADHF) and identify a candidate optimal panel of selected renal injury biomarkers for detection of AKI and to test miRNAs in plasma and urine as early markers of AKI
400 eligible patients admitted to Christchurch or Auckland hospital with ADHF will be enrolled on hospital admission and serial urine and blood samples will be taken during seven days Patients will receive usual care for ADHF. Samples of both urine and blood for AKI biomarkers and creatinine will be collected on admission (0 hours), at 6, 12, 24, 48 hours and days 5, 6 and 7. Plasma creatinine and eGFR will be reviewed at 30, 90, 180 days and 1 year after entry. There is no randomisation to treatment, however for the purposes of producing a development and validation cohort there is randomisation of samples. A computer generated randomisation sequence arranged in permuted blocks will be generated prior to any recruitment. In 200 patient samples, randomly selected from the total of 400 patient samples, the temporal profiles of renal injury biomarkers will be used to identify a candidate optimal panel of biomarkers for detection of AKI. This panel will be validated in the other 200 patients by an assessment of biomarker performance to detect AKI.
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Intervention code [1]
292452
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Not applicable
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Comparator / control treatment
not applicable
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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The Incidence of AKI in ADHF.
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Assessment method [1]
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Timepoint [1]
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Assessed by an increase in Serum Creatinine (SCr) by greater than or equal to 26.4 l micromol/l within any 48 hour period from admission till discharge; or an increase in SCr to greater than or equal to 1.5 times baseline, which is known or presumed to have occurred within the prior 7 days at any point from admission to discharge.
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Secondary outcome [1]
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The association with hospital length of stay for each novel candidate biomarkers will be compared with serum creatinine and with serum cystatin C
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Assessment method [1]
316555
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Timepoint [1]
316555
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Timing for secondary outcomes 3,4,5 30 days, 90 days, 180 days and 365 days after enrolment.
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Secondary outcome [2]
316556
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The ability to predict in-hospital dialysis for each novel candidate biomarkers will be compared with serum creatinine and with serum cystatin C.
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Assessment method [2]
316556
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Timepoint [2]
316556
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Timing for secondary outcomes 3,4,5 30 days, 90 days, 180 days and 365 days after enrolment.
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Secondary outcome [3]
316557
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The ability to predict dialysis dependence for each novel candidate biomarkers will be compared with serum creatinine and with serum cystatin C.
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Assessment method [3]
316557
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Timepoint [3]
316557
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Timing for secondary outcomes 3,4,5 30 days, 90 days, 180 days and 365 days after enrolment.
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Secondary outcome [4]
316558
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The ability to predict mortality for each novel candidate biomarkers will be compared with serum creatinine and with serum cystatin C.
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Assessment method [4]
316558
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Timepoint [4]
316558
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Timing for secondary outcomes 3,4,5 30 days, 90 days, 180 days and 365 days after enrolment.
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Secondary outcome [5]
316559
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The ability to predict the establishment of chronic kidney disease (GFR <60 ml/min/1.73m2 ) for each novel candidate biomarkers will be compared with serum creatinine and with serum cystatin C.
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Assessment method [5]
316559
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Timepoint [5]
316559
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Timing for secondary outcomes 3,4,5 30 days, 90 days, 180 days and 365 days after enrolment.
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Secondary outcome [6]
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The ability to predict major adverse cardiac events for each novel candidate biomarkers will be compared with serum creatinine and with serum cystatin C.
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Assessment method [6]
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Timepoint [6]
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Timing for secondary outcomes 3,4,5 30 days, 90 days, 180 days and 365 days after enrolment.
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Eligibility
Key inclusion criteria
Provide signed and dated informed consent form
Willing to comply with all study procedures and be available for the duration of the study
Living independently (ie, not hospital care dependent)
Admitted with ADHF as evidenced by typical clinical features plus either radiological evidence of HF or an NTproBNP level >1000pg/ml.
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
A primary diagnosis of acute coronary syndrome (ACS), myocarditis/pericarditis, pericardial constriction,
A life expectancy due to non-cardiac disease of <6 months,
A concurrent severe hepatic or pulmonary disease A concurrent severe hepatic disease
Severe renal impairment (plasma creatinine >250 micromol/L),
Severe valvular disease requiring surgery,
Severe aortic stenosis (valve area <1 cm^2), or HF due to mitral stenosis
A patient under consideration for cardiac transplantation
Without a urine sample within 4 hours of admission
With a prior eGFR <15 ml/min/1.73m2
On dialysis
Unable to comply with study protocol requirements
Unwilling or unable to consent
Already actively enrolled in this study
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Study design
Purpose
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Duration
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Selection
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Timing
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Statistical methods / analysis
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
1/10/2015
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Actual
23/09/2015
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Date of last participant enrolment
Anticipated
31/07/2020
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Actual
26/10/2019
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Date of last data collection
Anticipated
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Actual
26/03/2021
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Sample size
Target
400
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Accrual to date
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Final
86
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Recruitment outside Australia
Country [1]
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New Zealand
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State/province [1]
7058
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Christchurch and Auckland
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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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Health Research Council of New Zealand
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Address [1]
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PO Box 5541, Wellesley Street, Auckland 1141
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Country [1]
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New Zealand
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Primary sponsor type
Other Collaborative groups
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Name
Christchurch Heart Institute Trust
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Address
Department of Medicine
University of Otago, Christchurch
PO Box 4345
Christchurch 8140
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Country
New Zealand
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Secondary sponsor category [1]
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None
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Name [1]
290478
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Address [1]
290478
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Country [1]
290478
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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Central Health and Disability Ethics Committee
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Ethics committee address [1]
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C/- MEDSAFE, Level 6, Deloitte House. 10 Brandon Street, PO Box 5013. Wellington.6011
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Ethics committee country [1]
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New Zealand
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Date submitted for ethics approval [1]
293263
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Approval date [1]
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03/03/2015
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Ethics approval number [1]
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15/CEN/15
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Summary
Brief summary
IDENTAKIT-HF is a multicentre longitudinal prospective cohort study of a panel of promising candidate urine and blood biomarkers of evolving AKI in ADHF patients. 400 patients will be recruited and blood and urine collected at multiple time points over seven days . There is no randomisation to treatment, however for the purposes of producing a development and validation cohort there is randomisation of samples. A computer generated randomisation sequence arranged in permuted blocks will be generated prior to any recruitment.In 200 patient samples, randomly selected from the total of 400 patient samples, the temporal profiles of renal injury biomarkers will be used to identify a candidate optimal panel of biomarkers for detection of AKI. This panel will be validated in the other 200 patients by an assessment of biomarker performance to detect AKI. Ancillary investigations, abdominal ultrasound and trans-thoracic echocardiography, will be performed during admission to establish relevant cardiac and kidney parameters. Also assessed will be the ability of candidate biomarkers to predict major adverse cardiac and kidney outcomes from patients with both HF and AKI, to predict recovery of renal function after intensified managed of AHF, and to distinguish between predominantly right or left HF.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Zoltan Endre
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Address
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Department Nephrology
Prince of Wales Hospital
Barker Street
Randwick
New South Wales 2031
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Country
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Australia
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Phone
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+61 2 9382 4419
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Fax
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+61 2 9382 4409
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Email
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[email protected]
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Contact person for public queries
Name
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Lorraine Skelton
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Address
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Department of Medicine
University of Otago, Christchurch
PO Box 4345
Christchurch 8140
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Country
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New Zealand
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Phone
59163
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+6433641063
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Fax
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+6433641115
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Email
59163
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[email protected]
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Contact person for scientific queries
Name
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John Pickering
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Address
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Department of Medicine
University of Otago, Christchurch
PO Box 4345
Christchurch 8140
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Country
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New Zealand
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Phone
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+64212537877
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Fax
59164
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Email
59164
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[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
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What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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