Please note that the copy function is not enabled for this field.
If you wish to
modify
existing outcomes, please copy and paste the current outcome text into the Update field.
LOGIN
CREATE ACCOUNT
LOGIN
CREATE ACCOUNT
MY TRIALS
REGISTER TRIAL
FAQs
HINTS AND TIPS
DEFINITIONS
Trial Review
The ANZCTR website will be unavailable from 1pm until 3pm (AEDT) on Wednesday the 30th of October for website maintenance. Please be sure to log out of the system in order to avoid any loss of data.
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this
information for consumers
Download to PDF
Trial registered on ANZCTR
Registration number
ACTRN12621001619831
Ethics application status
Approved
Date submitted
1/02/2021
Date registered
26/11/2021
Date last updated
22/11/2022
Date data sharing statement initially provided
26/11/2021
Type of registration
Retrospectively registered
Titles & IDs
Public title
Clinical Application of Respiratory Elastance for Virtual Model development (CARE02)
Query!
Scientific title
Clinical Application of Respiratory Elastance for virtual model development in patients with respiratory failure requiring mechanical ventilation (CARE02)
Query!
Secondary ID [1]
303228
0
None
Query!
Universal Trial Number (UTN)
U1111-1264-0551
Query!
Trial acronym
CARE02
Query!
Linked study record
Query!
Health condition
Health condition(s) or problem(s) studied:
Respiratory failure
320449
0
Query!
Condition category
Condition code
Respiratory
318340
318340
0
0
Query!
Other respiratory disorders / diseases
Query!
Intervention/exposure
Study type
Observational
Query!
Patient registry
False
Query!
Target follow-up duration
Query!
Target follow-up type
Query!
Description of intervention(s) / exposure
This trial is an observational trial to recruit up to 30 patients. All patients admitted to the intensive care unit (ICU) at the IIUM Medical Centre, Malaysia during the study period will be screened for inclusion into the study. Consent from legally-accepted representative will be obtained.
Data collection and clinical protocol
All patients enrolled are to be ventilated using Puritan Bennett PB980 ventilator (Covidien, Boulder, CO, USA). The mechanical ventilation airway pressure and flow of the patients will be collected using a data acquisition device developed by the investigators.
1. The mechanical ventilator settings were not set and will vary depending on attending clinicians.
2. For each patient, the data will be collected for up to 7 days.
3. After 7 days, the data collection is stopped.
The following data, subject to availability are collected from the patient recruited into the observational trial. These data will be collected from the hospital record of the patient.
1. Patient gender, height, weight and ethnicity.
2. Patient APACHE III diagnostic code.
3. Primary patient diagnosis contributing to respiratory failure
4. Secondary patient diagnosis contributing to respiratory failure
5. Relevant past medical history e.g. smoking, medication, cardiovascular disease.
6. Chest X-ray score: Murray Index.
7. Mechanical ventilation airway pressure and flow.
8. Fraction of Inspired oxygen.
9. Patient datasheet and arterial blood gases information.
Query!
Intervention code [1]
319563
0
Not applicable
Query!
Comparator / control treatment
Nil
Query!
Control group
Uncontrolled
Query!
Outcomes
Primary outcome [1]
326307
0
To study the patient-ventilator interaction using a developed asynchrony detection algorithm. Patient-ventilator interaction is described using Asynchrony Index (AI). As this is is an observational trial, Aysnchrony index is calculated as the number of identified asynchronous breath over the total breath being analysed X 100%
Query!
Assessment method [1]
326307
0
Query!
Timepoint [1]
326307
0
Continuous recording from the ventilator/ airway pressure and flow during invasive mechanical ventilation from baseline to 7 days post-enrolment
Query!
Primary outcome [2]
326308
0
To investigate mechanically ventilated respiratory failure patient respiratory mechanics. Respiratory mechanics can be calculated using the lung models with airway pressure and flow waveform from the ventilator.
Query!
Assessment method [2]
326308
0
Query!
Timepoint [2]
326308
0
Continuous recording from the ventilator/ airway pressure and flow during invasive mechanical ventilation until the patient is disconnected from the ventilator, or up to 7 days post-enrolment.
Query!
Primary outcome [3]
328807
0
To investigate mechanically ventilated respiratory failure patient hemodynamic behaviour.
Query!
Assessment method [3]
328807
0
Query!
Timepoint [3]
328807
0
The hemodynamic behaviour can be collected from the patient daily chart from enrolment until the patient is disconnected from the ventilator, or up to 7 days post-enrolment.
Query!
Secondary outcome [1]
400452
0
To investigate the change of mechanical ventilator settings. in mechanically ventilated respiratory failure patient
Query!
Assessment method [1]
400452
0
Query!
Timepoint [1]
400452
0
Continuous recording from the ventilator/ airway pressure and flow during invasive mechanical ventilation until the patient is disconnected from the ventilator, or up to 7 days post-enrolment.
Query!
Eligibility
Key inclusion criteria
1. Patients requiring invasive mechanical ventilation (MV) (Intubation or tracheotomy).
2. Patients with PF [partial pressure of oxygen to fraction of inspired oxygen] ratio < 300 mmHg)
3. Arterial line in situ.
Query!
Minimum age
16
Years
Query!
Query!
Maximum age
No limit
Query!
Query!
Sex
Both males and females
Query!
Can healthy volunteers participate?
No
Query!
Key exclusion criteria
1. Patients who are likely to be discontinued from MV within 24 hours.
2. Patients with age less than 16.
3. Any medical condition associated with a clinical suspicion of raised intracranial pressure and/or a measured intracranial pressure equal or more than 20 cmH2O.
4. Patients who have a high spinal cord injury with loss of motor function and/ or have significant weakness from any neurological disease.
5. Patients who are moribund and/or not expected to survive for > 72 hours.
6. Lack of clinical equipoise by intensive care unit (ICU) medical staff managing the patient.
Query!
Study design
Purpose
Screening
Query!
Duration
Cross-sectional
Query!
Selection
Defined population
Query!
Timing
Both
Query!
Statistical methods / analysis
Query!
Recruitment
Recruitment status
Completed
Query!
Date of first participant enrolment
Anticipated
Query!
Actual
6/04/2021
Query!
Date of last participant enrolment
Anticipated
9/02/2023
Query!
Actual
12/02/2022
Query!
Date of last data collection
Anticipated
16/02/2023
Query!
Actual
17/02/2022
Query!
Sample size
Target
30
Query!
Accrual to date
Query!
Final
30
Query!
Recruitment outside Australia
Country [1]
23407
0
Malaysia
Query!
State/province [1]
23407
0
Pahang
Query!
Funding & Sponsors
Funding source category [1]
307635
0
Government body
Query!
Name [1]
307635
0
Ministry of Higher Education (MOHE) Malaysia
Query!
Address [1]
307635
0
Jalan P5/6, Presint 5, 62200 Putrajaya, Wilayah Persekutuan Putrajaya
Query!
Country [1]
307635
0
Malaysia
Query!
Funding source category [2]
307671
0
Government body
Query!
Name [2]
307671
0
Ministry of Science, Technology and Innovation
Query!
Address [2]
307671
0
C5, Pusat Pentadbiran Kerajaan Persekutuan, Presint 1, 62000 Putrajaya, Wilayah Persekutuan Putrajaya
Query!
Country [2]
307671
0
Malaysia
Query!
Primary sponsor type
University
Query!
Name
Monash University Malaysia
Query!
Address
Monash University Malaysia
Jalan Lagoon Selatan,
Bandar Sunway,
47500 Subang Jaya,
Selangor
Query!
Country
Malaysia
Query!
Secondary sponsor category [1]
308320
0
Hospital
Query!
Name [1]
308320
0
IIUM Medical Centre - International Islamic University Malaysia
Query!
Address [1]
308320
0
IUM Medical Centre International Islamic University Malaysia Jalan Sultan Haji Ahmad Shah, Bandar Indera Mahkota, 25200 Kuantan, Pahang,
Query!
Country [1]
308320
0
Malaysia
Query!
Other collaborator category [1]
281621
0
University
Query!
Name [1]
281621
0
Universiti Teknologi Mara
Query!
Address [1]
281621
0
Kampung Tok Ebot, 14000 Bukit Mertajam, Penang
Query!
Country [1]
281621
0
Malaysia
Query!
Ethics approval
Ethics application status
Approved
Query!
Ethics committee name [1]
307677
0
IIUM Research Ethics Commitee (IREC)
Query!
Ethics committee address [1]
307677
0
IIUM Research Ethics Committee (IREC) Research Management Center (RMC), Kuantan Campus, International Islamic University Malaysia Jalan Sultan Ahmad Shah, Bandar Indera Mahkota, 25200 Kuantan, Pahang
Query!
Ethics committee country [1]
307677
0
Malaysia
Query!
Date submitted for ethics approval [1]
307677
0
12/08/2020
Query!
Approval date [1]
307677
0
04/09/2020
Query!
Ethics approval number [1]
307677
0
IREC 2020-100
Query!
Summary
Brief summary
There has been an emerging interest to guide patient-specific Mechanical Ventilation (MV treatment through model-based approaches. These model-based methods are capable of estimating patient-specific respiratory mechanics, providing clinically useful information to the clinicians to guide MV treatment. Various model-based methods have been studied to aid clinical MV decision making. However, to date, the application of these model-based methods is limited in the clinical environment. In particular, there is little clinical trial evidence supporting the efficacy of these methods. Model-based methods require specific clinical protocols and they can be hard to implement in actual clinical practice. In particular, these protocols may be invasive and potentially harmful. These specific clinical protocols can also affect patients' respiratory mechanics. As a result, there is a lack of clinical patient data to validate the performance of model-based methods. These data are unable to provide the wide information spectrum that is required to investigate the performance of model-based methods. Thus, there is a need for a mechanical ventilation patient database that can be used to investigate the clinical feasibility and efficacy of these model-based methods for MV treatment. To this end, a clinical observation trial is required to recruit MV respiratory failure patients. A data acquisition system will be used to collect MV data automatically when patients have been recruited and consented to the MV trial.
Query!
Trial website
Query!
Trial related presentations / publications
Query!
Public notes
Query!
Contacts
Principal investigator
Name
108102
0
A/Prof Mohd Basri Mat Nor
Query!
Address
108102
0
Kulliyyah of Medicine, International Islamic University Malaysia, Bandar Indera Mahkota Campus, Jalan Sultan Ahmad Shah, 25200 Kuantan, Pahang Darul Makmur.
Query!
Country
108102
0
Malaysia
Query!
Phone
108102
0
+6095704672
Query!
Fax
108102
0
Query!
Email
108102
0
[email protected]
Query!
Contact person for public queries
Name
108103
0
Mohd Basri Mat Nor
Query!
Address
108103
0
Kulliyyah of Medicine, International Islamic University Malaysia, Bandar Indera Mahkota Campus, Jalan Sultan Ahmad Shah, 25200 Kuantan, Pahang Darul Makmur.
Query!
Country
108103
0
Malaysia
Query!
Phone
108103
0
+6095704672
Query!
Fax
108103
0
Query!
Email
108103
0
[email protected]
Query!
Contact person for scientific queries
Name
108104
0
Chiew Yeong Shiong
Query!
Address
108104
0
Monash University Malaysia Jalan Lagoon Selatan, Bandar Sunway, 47500 Subang Jaya, Selangor
Query!
Country
108104
0
Malaysia
Query!
Phone
108104
0
+60355144985
Query!
Fax
108104
0
Query!
Email
108104
0
[email protected]
Query!
Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
Query!
No/undecided IPD sharing reason/comment
Query!
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.
Download to PDF