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Trial registered on ANZCTR
Registration number
ACTRN12620000734965
Ethics application status
Approved
Date submitted
6/07/2020
Date registered
13/07/2020
Date last updated
4/08/2022
Date data sharing statement initially provided
13/07/2020
Type of registration
Prospectively registered
Titles & IDs
Public title
Lung ultrasound to predict invasive ventilation of patients with COVID-19 lung disease
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Scientific title
Use of Lung Ultrasound for Diagnosis and Prognostication of patient presented with COVID-19 Lung Disease in the Emergency Department: A prospective observational cohort study
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Secondary ID [1]
301069
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Nil known
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Universal Trial Number (UTN)
U1111-1254-7764
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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:
COVID-19
317129
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Condition category
Condition code
Infection
315286
315286
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0
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Other infectious diseases
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Respiratory
316187
316187
0
0
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Other respiratory disorders / diseases
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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
Patients presenting to the emergency department suspected of having COVID-19, who are admitted to hospital, will have lung ultrasound (LUS) findings recorded and compared against COVID-19 status and outcomes. LUS images will be collected alongside data collected from routine care of patients. For many sites LUS is part of routine care of these patients. Patients will be followed until discharge, for a maximum of 12 months.
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Intervention code [1]
317374
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Diagnosis / Prognosis
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Comparator / control treatment
No control group.
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
323529
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Composite outcome of death, intubation or ICU admission, as per the medical record
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Assessment method [1]
323529
0
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Timepoint [1]
323529
0
This is defined as the patient reaching any of these outcomes prior to the end of their hospital admission.
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Secondary outcome [1]
382168
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Hospital length of stay, as per medical record.
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Assessment method [1]
382168
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Timepoint [1]
382168
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This is defined as the total time from presentation to the emergency department, until the end of the hospital admission (discharge from hospital or death).
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Secondary outcome [2]
384401
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Duration of admission to the Intensive Care Unit (or High Dependency Unit), as per the medical record
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Assessment method [2]
384401
0
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Timepoint [2]
384401
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This is defined as the total time from admission to the ICU/HDU, until discharge from ICU/HDU or death.
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Secondary outcome [3]
384402
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Duration of invasive ventilation during hospital admission, as per the medical record
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Assessment method [3]
384402
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Timepoint [3]
384402
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This is defined as the total time a patient is invasively ventilated during this hospital admission, either in the emergency department, inpatient ward or intensive care unit.
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Secondary outcome [4]
384403
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Duration of non-invasive ventilation during hospital admission, as per the medical record
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Assessment method [4]
384403
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Timepoint [4]
384403
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This is defined as the total time a patient is non-invasively ventilated during this hospital admission, either in the emergency department, inpatient ward or intensive care unit.
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Secondary outcome [5]
384404
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Clinical features of patients will be recorded from the medical record, including vital signs and respiratory support/oxygenation
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Assessment method [5]
384404
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Timepoint [5]
384404
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This data will be prospectively collected cross-sectionally at the time the patient receives their LUS in the emergency department
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Secondary outcome [6]
384405
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Lung features will be assessed of any other imaging, such as chest x-ray or chest CT, arranged as part of routine care of the patient
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Assessment method [6]
384405
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Timepoint [6]
384405
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This data will be prospectively collected cross-sectionally at the time the patient receives their LUS in the emergency department, within a window of up to 3 hours.
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Secondary outcome [7]
384406
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Description of LUS findings for a 12-zone scanning protocol of patients admitted with COVID-19 disease. This will include any pleural and parenchymal abnormalities and their distribution. We will explore any LUS findings that are specific to a diagnosis of COVID-19
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Assessment method [7]
384406
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Timepoint [7]
384406
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This data will be prospectively collected cross-sectionally at the time the patient receives their LUS in the emergency department
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Secondary outcome [8]
384407
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Diagnostic test characteristics (sensitivity, specificity, positive and negative likelihood ratios) for LUS diagnosis of COVID-19, with incorporation of disease prevalence in that geographic location at the time of admission. The criterion standard will be final discharge diagnosis as determined from the medical record.
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Assessment method [8]
384407
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Timepoint [8]
384407
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This is defined as the patient's final COVID-19 status at the end of their hospital admission.
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Eligibility
Key inclusion criteria
Patients aged 18 years or older who:
Present to the emergency department with suspected or confirmed COVID-19 disease, who have been swabbed (either in the ED or prior to attending ED)
Are being admitted with suspected or proven diagnosis of COVID-19
Have a lung ultrasound performed by credentialed provider in the ED
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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
Patient already enrolled in the current study
Patient deemed for palliative/comfort care approach
Lung US images not recorded, or inadequate, for review
Prior pneumonectomy or other significant pre-existing lung pathology or treatment e.g. malignancy, pleurodesis, fibrosis.
Patient unable to provide consent.
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Study design
Purpose
Screening
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Duration
Longitudinal
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Selection
Convenience sample
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Timing
Prospective
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Statistical methods / analysis
Descriptive statistics will be performed for the cohort to determine prognostication of LUS for COVID-19.
Subgroup analysis
Age <50 years and age >50 years will be analysed as pre-specified subgroups.
Findings associated with time delay from symptom onset to image acquisition
Other imaging - CXR/ CT/ portable CXR comparisons
Ultrasound machine model
Comorbidities
Geographic location with current disease prevalence
Level of respiratory support
Multivariate analysis of patient demographics and lung ultrasound findings as risk factors for primary and secondary outcomes.
Secondarily, the diagnostic characteristics of LUS for COVID-19 may be determined for individual sites with adequate data, and will account for the different disease prevalence in that region (affects pre-test probability). This will include sensitivity, specificity, predictive values, and likelihood ratios.
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Recruitment
Recruitment status
Stopped early
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Data analysis
Data collected is being analysed
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Reason for early stopping/withdrawal
Lack of funding/staff/facilities
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Date of first participant enrolment
Anticipated
13/07/2020
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Actual
9/08/2020
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Date of last participant enrolment
Anticipated
31/03/2022
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Actual
14/04/2022
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Date of last data collection
Anticipated
30/04/2022
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Actual
14/04/2022
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Sample size
Target
1000
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Accrual to date
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Final
132
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Recruitment in Australia
Recruitment state(s)
QLD,VIC
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Recruitment postcode(s) [1]
30045
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3168 - Clayton
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Recruitment postcode(s) [2]
30047
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3175 - Dandenong
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Recruitment postcode(s) [3]
30690
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4215 - Southport
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Recruitment outside Australia
Country [1]
22717
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Canada
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State/province [1]
22717
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Ottawa and London, Ontario
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Country [2]
22718
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Canada
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State/province [2]
22718
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Winnipeg, Manitoba
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Country [3]
22720
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United States of America
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State/province [3]
22720
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Buffalo, New York
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Funding & Sponsors
Funding source category [1]
306132
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Hospital
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Name [1]
306132
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Monash Hospital
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Address [1]
306132
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246 Clayton Rd, Clayton, Vic 3168
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Country [1]
306132
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Australia
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Primary sponsor type
Hospital
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Name
Monash Hospital
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Address
246 Clayton Rd, Clayton, Vic 3168
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Country
Australia
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Secondary sponsor category [1]
305911
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Hospital
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Name [1]
305911
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Gold Coast University Hospital
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Address [1]
305911
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1 Hospital Blvd, Southport, Qld, 4215
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Country [1]
305911
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Australia
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
305821
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Monash Health Human Research Ethics Committee
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Ethics committee address [1]
305821
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Research Support Services Monash Health Level 2, I Block Monash Medical Centre 246 Clayton Road Clayton Victoria 3168
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Ethics committee country [1]
305821
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Australia
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Date submitted for ethics approval [1]
305821
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Approval date [1]
305821
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02/07/2020
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Ethics approval number [1]
305821
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RES-20-0000-284A / ERM63309
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Summary
Brief summary
Lung ultrasound (LUS) is known to be more sensitive for detection of lung pathology compared to plain radiography and comparable to computerised tomography (CT), particularly for peripheral or pleurally based lesions. For example, it can be used in diagnosing interstitial patterns including pulmonary edema, as well as consolidation and effusions. Point-of-care (POCUS) is readily available in most emergency departments (ED), where it can immediately supply clinical information at the bedside. SARS-CoV-2 viral pneumonia (COVID-19) has led some practitioners to assess if LUS has utility in its diagnosis or prognosis. There are specific findings which represent viral pneumonias, such as increasing density of B-lines, subpleural consolidations, and absence of pleural effusions. Unfortunately LUS is currently unable to distinguish COVID-19 from other viral pneumonias but may be possible with further description of findings in a large cohort of patients. Although the current de facto “gold standard” for COVID-19 diagnosis, reverse-transcriptase polymerase chain reaction (RT-PCR) has a delayed turnaround of results and lacks sensitivity, particularly early in the course of the illness. Although LUS is unlikely to replace nucleic acid testing for definitive diagnosis, it may have utility in predicting clinical deterioration indicating need for ventilatory support. If proven to be accurately predictive of clinical deterioration, LUS findings could be integrated with clinical findings at the time of ED presentation, to triage patients to either outpatient management (low risk features), ward admission (moderate risk features) or intensive care unit (ICU) admission (high risk features). This could impact patient outcomes, resource allocation, and departmental flow, particularly in times of crisis. Furthermore, the findings from this study may inform the use of LUS in future respiratory virus pandemics.
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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
101718
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Dr Gabriel Bletcher
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Address
101718
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Monash Health Department of Emergency Ground floor
246 Clayton Rd Clayton Vic 3168
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Country
101718
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Australia
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Phone
101718
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+61 395946666
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Fax
101718
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Email
101718
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[email protected]
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Contact person for public queries
Name
101719
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Gabriel Bletcher
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Address
101719
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Monash Health Department of Emergency Ground floor
246 Clayton Rd Clayton Vic 3168
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Country
101719
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Australia
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Phone
101719
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+61 395946666
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Fax
101719
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Email
101719
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[email protected]
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Contact person for scientific queries
Name
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Peter J Snelling
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Address
101720
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Gold Coast University Hospital
Emergency Department
1 Hospital Blvd
Southport, Qld 4215
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Country
101720
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Australia
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Phone
101720
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+61 1300 744 284
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Fax
101720
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Email
101720
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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
Extended consent not approved
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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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