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Trial registered on ANZCTR
Registration number
ACTRN12619000899145
Ethics application status
Approved
Date submitted
7/06/2019
Date registered
26/06/2019
Date last updated
15/09/2020
Date data sharing statement initially provided
26/06/2019
Type of registration
Prospectively registered
Titles & IDs
Public title
Evaluation of peripheral intravenous volume analysis in patients receiving haemodynamic monitoring
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Scientific title
A prospective study of venous waveform-derived volume status via peripheral intravenous volume analysis in patients receiving invasive haemodynamic monitoring
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Secondary ID [1]
298498
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Nil
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
cardiovascular instability
313185
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Condition category
Condition code
Cardiovascular
311647
311647
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0
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Other cardiovascular diseases
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
This study will use the medical 'peripheral intraVenous waveform analysis' (PIVA) device with its intravenous line with sensor for the procedure. A peripheral intravenous line is routinely placed as part of the clinical care. The PIVA intravenous line with sensor will be connected to the PIVA monitor. PIVA signals will be obtained and stored in the monitor for subsequent analysis. PIVA data will not be used to inform patient treatment. A member of the investigating team will ensure that the PIVA device is set-up and running correctly. Treating clinicians will be provided with a bedside tutorial on the device and asked to continue to provide routine care. Clinical and physiological parameters will be recorded in their routine fashion by clinical staff, this will include the administration of fluid therapy or the use of vasoactive medicines or mechanical ventilation. Clinical information will then be retrieved retrospectively from the patients medical record by a member of the investigating team.
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Intervention code [1]
314691
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Treatment: Devices
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Comparator / control treatment
Patients are their own controls and the PIVA-derived data will be compared to standard haemodynamic parameters routinely collected for hospitalised patients.
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Control group
Active
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Outcomes
Primary outcome [1]
320352
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Change in blood pressure derived from the PIVA sensor
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Assessment method [1]
320352
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Timepoint [1]
320352
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Changes in the venous waveform assessment of volume status from baseline over a minimum period of 2 hours
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Secondary outcome [1]
371315
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Ease of PIVA use
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Assessment method [1]
371315
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Timepoint [1]
371315
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Questionnaire to be completed by bedside staff after a minimum of 2 hours use with a determination of 'strongly disagree/disagree/neutral/agree/strongly agree being recorded
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Secondary outcome [2]
371726
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Difficulty to use PIVA
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Assessment method [2]
371726
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Timepoint [2]
371726
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Questionnaire to be completed by bedside staff after a minimum of 2 hours use with a determination of 'strongly disagree/disagree/neutral/agree/strongly agree being recorded
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Secondary outcome [3]
371727
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Assessment of difficultly to obtain good quality data while monitoring with the PIVA device
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Assessment method [3]
371727
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Timepoint [3]
371727
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Questionnaire to be completed by bedside staff after a minimum of 2 hours use with a determination of 'strongly disagree/disagree/neutral/agree/strongly agree being recorded
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Secondary outcome [4]
371989
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Change in fluid balance occurring over the first 2 hours of PIVA monitoring period
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Assessment method [4]
371989
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Timepoint [4]
371989
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Changes in the fluid balance state from baseline over a minimum period of 2 hours
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Eligibility
Key inclusion criteria
adult aged equal to or older than 18 years
expected to under go surgery with invasive haemodynamic monitoring
expected to admitted to the intensive care unit and receiving haemodynamic montoring
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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
No invasive hemodynamic monitoring planned
No invasive hemodynamic monitoring present
No peripheral venous catheter present
Female patients who are pregnant or lactating
Active irregular heart rhythm
Congenital heart disease
Restrictive cardiomyopathy (e.g. due to amyloidosis)
Severe mitral stenosis, moderate or severe aortic stenosis, or mitral or aortic valve replacement
Extracorporeal circulation (e.g. cardiopulmonary bypass, LVAD, ECMO, or active dialysis during measurement)
Dual lung ventilation
Use of vasopressors, starches, lipids (including propofol), or dextrose solutions greater than 5% concentration through the IV line.
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Study design
Purpose of the study
Diagnosis
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Allocation to intervention
Non-randomised trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
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Masking / blinding
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Who is / are masked / blinded?
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Intervention assignment
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
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Statistical methods / analysis
First, we will use descriptive statistics to characterize the patients as has been done for other techniques). Then, we will describe the cohort specific PIVA measurements (normal range among euvolemic pre-surgery patients in this study, effect of fluid administration on PIVA, and association of PIVA with fluid removal by diuretics group and overall fluid balance). Then, we will evaluate the relationship between PIVA derived data with the following markers of intravascular volume status: arterial blood pressure; central venous pressure (if available); cardiac index (if available); pulse pressure variation (if available); stroke volume variation (if available); pulmonary artery pressure (if available), and fluid balance (output minus input)
To describe the patients, we will use means and standard deviations, medians and interquartile ranges, or counts and percentages as appropriate. Then, we will characterize the distribution of PIVA values at baseline. Beyond visual characterization using a histogram, we will estimate parameters of the distribution, including the mean, standard deviation and percentiles. We will use the family of generalized linear models with a linear link function to model PIVA as a function of time, we will ensure the covariance estimates take into account the repeated within-patient measurements. We will consider the possibility that the relationship with time is non-linear. If we find a systematic effect of time on PIVA among euvolemic subjects at rest, this will be informative for establishing normative values as well as for interpreting subsequent analyses. Secondary to ascertaining whether there is systematic variation, we will estimate the random within-subject variation. Finally, we will include age and comorbidity in the model to determine whether they affect the absolute PIVA values and the variation in PIVA values within subjects. If there are significant effects of age or comorbidities, separate normal ranges may be provided for these groups.
During treatment, we will include either fluids administered (for the hypovolemic group model) or measures of fluid loss (for the hypervolemic group model) as the primary predictor. As before, we will model PIVA as a function of fluids taking into account the repeated within-patient measurements. We will consider the possibility that the relationship is non-linear. We expect to find a systematic association between fluids and PIVA that can be used for establishing the normal response of persons to either fluid administration or fluid loss. We will include age, comorbidity and baseline PIVA values in the model to determine whether they affect the change in PIVA values. We will also evaluate the effect of vasopressors on PIVA values and on the change in PIVA with fluid administration. To compare the changes in PIVA (delta-PIVA) to the changes in other hemodynamic measurements we will evaluate the correlation between scores as a gross characterization of association within each cohort. Then, we will model PIVA as a function of changes in cardiac index, arterial blood pressure, central venous pressure, pulse pressure variation, stroke volume variation and pulmonary pressure variation (as available) taking into account baseline values. Finally, we will compare the repeatability of delta PIVA to that in the above measures by comparing standardized limits of agreement. In addition to modelling approaches above, we will explore other associations of interest. Bivariate methods (such as difference tests and cross tabulations) will be used as exploratory investigations. We do not plan to adjust such analyses for multiplicity as they are hypothesis generating, not hypothesis testing. All analyses will be interpreted recognizing the possibility of false positive findings. The strength of evidence will be tempered by biological plausibility and patterns of association. The results of these exploratory analyses may inform the generation of previously specified models, but we are not using a stepwise modelling approach.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
2/11/2020
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Actual
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Date of last participant enrolment
Anticipated
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Actual
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Date of last data collection
Anticipated
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Actual
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Sample size
Target
100
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
VIC
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Recruitment hospital [1]
13967
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Austin Health - Austin Hospital - Heidelberg
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Recruitment postcode(s) [1]
26804
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3084 - Heidelberg
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Funding & Sponsors
Funding source category [1]
302994
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Commercial sector/Industry
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Name [1]
302994
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Baxter Healthcare Corporation
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Address [1]
302994
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One Baxter Parkway,
Deerfield
Illinois, 60015,
U.S.A
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Country [1]
302994
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United States of America
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Primary sponsor type
Hospital
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Name
Austin Health
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Address
145 Studley Road
Heidelberg, Victoria
Australia 3084
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Country
Australia
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Secondary sponsor category [1]
302955
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Individual
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Name [1]
302955
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Professor Rinaldo Bellomo
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Address [1]
302955
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Department of Intensive Care
Austin Hospital
145 Studley Road
Heidelberg, Victoria
Australia 3084
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Country [1]
302955
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Australia
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
303543
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Austin Health Human Research Ethics Committee
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Ethics committee address [1]
303543
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145 Studley Road Heidelberg, Victoria Australia 3084
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Ethics committee country [1]
303543
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Australia
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Date submitted for ethics approval [1]
303543
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18/10/2018
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Approval date [1]
303543
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14/12/2018
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Ethics approval number [1]
303543
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HREC/47900/Austin-2018
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Summary
Brief summary
The monitoring of blood volume status in patients requiring advanced monitoring in the operating theatres or the intensive care unit is fundamental to patient protection and treatment. However, it is currently difficult and only partly addressed by the use invasive monitoring devices. The development of new technique called peripheral intravenous volume analysis (PIVA) has recently been shown in animal experiments and dialysis patients to provide a continuous, reliable, reproducible, safe, and non-invasive assessment of blood volume state. The monitor then does mathematical modifications of the pressure waves to calculate a blood volume signal. Then it displays such information about the pressure generated by the volume of blood in the veins to the treating doctor. Finally, the monitor allows the collection of such pressure information every minute, which can then be used for detailed analysis. In this study, we simply want to connect this device to the existing drip line in a group of patients having major surgery or admitted to ICU for advanced haemodynamic monitoring. The aim of this study is to see if the PIVA monitoring delivers similar information to that which we currently obtain with more invasive, more expensive, and more complex technology. Moreover, we aim to ask clinicians whether easy to use; and achieves the reliable delivery of good quality data. Finally, we wish to see if all these aspects of PIVA prove correct, as we will then seek approval to conduct further and more advances studies of PIVA.
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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
94030
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Prof Rinaldo Bellomo
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Address
94030
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Department of Intensive Care
Austin Hospital
145 Studley Road
Heidelberg, Victoria 3084
Australia
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Country
94030
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Australia
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Phone
94030
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+61394965992
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Fax
94030
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+61394963932
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Email
94030
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[email protected]
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Contact person for public queries
Name
94031
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Glenn Eastwood
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Address
94031
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Department of Intensive Care
Austin Hospital
145 Studley Road
Heidelberg, Victoria 3084
Australia
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Country
94031
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Australia
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Phone
94031
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+61394964835
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Fax
94031
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+61394963932
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Email
94031
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[email protected]
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Contact person for scientific queries
Name
94032
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Rinaldo Bellomo
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Address
94032
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Department of Intensive Care
Austin Hospital
145 Studley Road
Heidelberg, Victoria 3084
Australia
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Country
94032
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Australia
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Phone
94032
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+61394965992
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Fax
94032
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+61394963932
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Email
94032
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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
Will depending on commerical in confidence with Baxter Healthcare
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What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
2290
Study protocol
377743-(Uploaded-14-06-2019-12-43-29)-Study-related document.docx
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.
Download to PDF