Respiratory InsufficiencyNCT01403584
Adjustment of Mask Pressure, for Bilevel Positive Airways Pressure Therapy, by Automated Algorithm
A study testing AutoVPAP with addition of AutoEPAP and AutoVPAP with EPAP manually selected in people with Respiratory Insufficiency and Sleep Disordered Breathing, run by ResMed at 1 site in Germany.
Trial summary
The aim of the study is to test the hypothesis that an automated algorithm for desired mask pressure improves breathing pattern and sleep quality in patients with hypercapnic ventilatory failure. Read more about this study
- Who is it for?
- Ages 18 to 75 years
- Conditions the study is for
- Respiratory Insufficiency, Sleep Disordered Breathing
- What is being tested?
- AutoVPAP with addition of AutoEPAP and AutoVPAP with EPAP manually selected
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 21 participants
- Where
- 1 siteGermany
- Study dates
- Jul 2011to Feb 2015
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 75 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Subjects will be patients not naive to noninvasive ventilation, and being so treated for any form of hypercapnic ventilatory failure.
- Previously stabilised on bilevel noninvasive pressure support ventilation.
- Both genders, age <75years.
- Previously shown to have a requirement for an EEP above cm H2O in order to maintain upper airway patency, or those in whom such a raised EEP would be expected, e.g. obese patients.
- Patients also known to have adequate airway patency at an EEP of 4 to 5 cm H2O will be included to ensure specificity of the algorithm.
Who cannot join
- Acute critical illness (e.g. acute coronary syndrome, stroke)
- Serious anatomical variations of nose, sinuses, pharynx or oesophagus.
- Any condition at risk of oesophageal bleeding (e.g. oesophageal varices, gastric ulcer, etc.)
- Age >75 years
- Pregnancy
- Epilepsy
Show all 10Show fewer
- Psychiatric disorders that could possibly influence the study
- Any kind of addiction
- Insufficient knowledge of the language
- Noninvasive ventilation otherwise contraindicated
Trial locations and contacts
1 site in 1 country.
Germany1 site
Abteilung Pneumologie - Universitätsklinik, Ruhrlandklinik
Essen, 45239
About this study
Official title: Adjustment of Non-invasive Positive Pressure Ventilation in Patients With Chronic Hypercapnic Ventilatory Failure Using Automated End-expiratory Pressure (AutoEEP) Algorithm
The aim of the study is to test the hypothesis that an automated algorithm for desired mask pressure improves breathing pattern and sleep quality in patients with hypercapnic ventilatory failure. For this purpose, The investigators will study different groups of patients, including those with obstructive and restrictive ventilatory defect, and obstructive sleep apnoea, non-naive to conventional bi-level positive airways pressure therapy.
Read the detailed description
Persisting ventilatory failure associated with chronic obstructive pulmonary disease (COPD), obesity-hypoventilation-syndrome, sleep apnoea or neuromuscular disease is increasingly managed with domiciliary non-invasive positive pressure ventilation (NIPPV).
Optimal settings of non-invasive ventilation are usually titrated manually and require time and expertise. The development of systems lead to automated analysis and development of algorithms to adjust ventilators. However, there is a paucity of optimal algorithms, particularly the problem of upper airway obstruction. Therefore, the central aim of this study is to develop the automated setting of an end-expiratory positive airway pressure (EPAP), because upper airway obstruction is relatively common in this group of patients. We hypothesise that an automated end-expiratory airway pressure (AutoEEP) adjusting algorithm could overcome these problems and further optimise and adjust ventilator settings. Using non-invasive ventilation in patients with hypercapnic ventilatory failure, awake and asleep, we will measure physiological outcome parameters and apply an AutoEEP algorithm, comparing it against usual care.
- Being tested
- AutoVPAP with addition of AutoEPAP, AutoVPAP with EPAP manually selected
- Keywords
- Breathing pattern, Gas exchange, Sleep quality
- Medical subject headings
- Respiratory Insufficiency, Sleep Apnea Syndromes, Sleep Initiation and Maintenance Disorders
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AutoVPAP with addition of AutoEPAPDevice
Implementation of automated algorithm for adjustment of conventional device parameter (EPAP0.
AutoVPAP with EPAP manually selectedDevice
Conventionally applied Expiratory Positive Airway Pressure (EPAP)
| Study group | Role | What they receive |
|---|---|---|
| AutoVPAP with addition of AutoEPAP | Experimental | This arm will receive conventional device modified to enable algorithm for automatically applied Expiratory Positive Airway Pressure. Patients randomised to this group will then receive the other treatment the following night. Receives: Device: AutoVPAP with addition of AutoEPAP; Device: AutoVPAP with EPAP manually selected |
| AutoVPAP without addition of AutoEPAP | Active comparator | This arm will receive conventionally applied Expiratory Positive Airway Pressure. Patients randomised to this group will then receive the other treatment the following night. Receives: Device: AutoVPAP with addition of AutoEPAP; Device: AutoVPAP with EPAP manually selected |
What is being measured
The primary outcome is the main question the study is designed to answer.
Index of Apneoas Plus Hypopnoeas Per Hour of Sleep (AHI)
The AHI is a count of the number of pauses during sleep a person experiences. The total number of apneas/ hypopneas (sleep pauses) are divided by the total sleep time to get an index for that night
Measured: On completion of each consecutive night of polysomnography.
Secondary outcomes (1)
Mean SpO2
During sleep, pulse oximetery is recorded through a sensor on the participants finger
Measured: On completion of each night of 2 consecutive nights polysomnography.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Jul 2011 (estimated)
- Study startJul 2011
- Primary completionFeb 2015
- Study completionFeb 2015
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Respiratory InsufficiencyStudies of the same condition, open and under way.
- More trials run by ResMedThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 21 participants (actual)
Sponsor and investigators
- Lead sponsor
- ResMed
- Sponsor type
- Industry (pharma, biotech, devices)
- Collaborators
- University Hospital, Essen
- Responsible party
- Sponsor
- Investigators
- Helmut Teschler, Dr. med., Principal investigator, Abteilung Pneumologie - Universitätsklinik, Essen, Germany
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT01403584
- Sponsor's protocol ID
- 09-4225
- Status last verified
- Mar 2021
- First submitted
- 25 Jul 2011
- Last updated
- 26 Mar 2021
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Battisti A, Tassaux D, Bassin D, Jolliet P. Automatic adjustment of noninvasive pressure support with a bilevel home ventilator in patients with acute respiratory failure: a feasibility study. Intensive Care Med. 2007 Apr;33(4):632-8. doi: 10.1007/s00134-007-0550-1. Epub 2007 Feb 24.
PubMed 17323049
Study at a glance
From the registry record, last updated by the sponsor on 26 Mar 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Adjustment of Non-invasive Positive Pressure Ventilation in Patients With Chronic Hypercapnic Ventilatory Failure Using Automated End-expiratory Pressure (AutoEEP) Algorithm
- ClinicalTrials.gov ID
- NCT01403584
- Acronym / sponsor ID
- 09-4225
- Keywords
- Breathing pattern, Gas exchange, Sleep quality
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 21 participants (actual)
- Lead sponsor
- ResMedIndustry (pharma, biotech, devices)
- Collaborators
- University Hospital, Essen
- Study start
- Jul 2011
- Primary completion
- Feb 2015 (actual)
- Study completion
- Feb 2015 (actual)
- First posted
- 27 Jul 2011 (estimated)
- Results
- Posted 26 Mar 2021
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The aim of the study is to test the hypothesis that an automated algorithm for desired mask pressure improves breathing pattern and sleep quality in patients with hypercapnic ventilatory failure. For this purpose, The investigators will study different groups of patients, including those with obstructive and restrictive ventilatory defect, and obstructive sleep apnoea, non-naive to conventional bi-level positive airways pressure therapy.
Detailed description
Persisting ventilatory failure associated with chronic obstructive pulmonary disease (COPD), obesity-hypoventilation-syndrome, sleep apnoea or neuromuscular disease is increasingly managed with domiciliary non-invasive positive pressure ventilation (NIPPV).
Optimal settings of non-invasive ventilation are usually titrated manually and require time and expertise. The development of systems lead to automated analysis and development of algorithms to adjust ventilators. However, there is a paucity of optimal algorithms, particularly the problem of upper airway obstruction. Therefore, the central aim of this study is to develop the automated setting of an end-expiratory positive airway pressure (EPAP), because upper airway obstruction is relatively common in this group of patients. We hypothesise that an automated end-expiratory airway pressure (AutoEEP) adjusting algorithm could overcome these problems and further optimise and adjust ventilator settings. Using non-invasive ventilation in patients with hypercapnic ventilatory failure, awake and asleep, we will measure physiological outcome parameters and apply an AutoEEP algorithm, comparing it against usual care.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- Single blind (participant)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| AutoVPAP with addition of AutoEPAP | Experimental | Device: AutoVPAP with addition of AutoEPAP, Device: AutoVPAP with EPAP manually selectedThis arm will receive conventional device modified to enable algorithm for automatically applied Expiratory Positive Airway Pressure. Patients randomised to this group will then receive the other treatment the following night. |
| AutoVPAP without addition of AutoEPAP | Active comparator | Device: AutoVPAP with addition of AutoEPAP, Device: AutoVPAP with EPAP manually selectedThis arm will receive conventionally applied Expiratory Positive Airway Pressure. Patients randomised to this group will then receive the other treatment the following night. |
Who may qualify
- Ages
- 18 to 75 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- Subjects will be patients not naive to noninvasive ventilation, and being so treated for any form of hypercapnic ventilatory failure.
- Previously stabilised on bilevel noninvasive pressure support ventilation.
- Both genders, age <75years.
- Previously shown to have a requirement for an EEP above cm H2O in order to maintain upper airway patency, or those in whom such a raised EEP would be expected, e.g. obese patients.
- Patients also known to have adequate airway patency at an EEP of 4 to 5 cm H2O will be included to ensure specificity of the algorithm.
Key exclusion criteria (10 listed)
- Acute critical illness (e.g. acute coronary syndrome, stroke)
- Serious anatomical variations of nose, sinuses, pharynx or oesophagus.
- Any condition at risk of oesophageal bleeding (e.g. oesophageal varices, gastric ulcer, etc.)
- Age >75 years
- Pregnancy
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AutoVPAP with addition of AutoEPAPImplementation of automated algorithm for adjustment of conventional device parameter (EPAP0. | Device | AutoVPAP with addition of AutoEPAP, AutoVPAP without addition of AutoEPAP |
| AutoVPAP with EPAP manually selectedConventionally applied Expiratory Positive Airway Pressure (EPAP) | Device | AutoVPAP with addition of AutoEPAP, AutoVPAP without addition of AutoEPAP |
Primary outcome
Index of Apneoas Plus Hypopnoeas Per Hour of Sleep (AHI)
Time frame: On completion of each consecutive night of polysomnography.
The AHI is a count of the number of pauses during sleep a person experiences. The total number of apneas/ hypopneas (sleep pauses) are divided by the total sleep time to get an index for that night
1 secondary outcome
Mean SpO2
Time frame: On completion of each night of 2 consecutive nights polysomnography.
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 26 Mar 2021.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 17323049Battisti A, Tassaux D, Bassin D, Jolliet P. Automatic adjustment of noninvasive pressure support with a bilevel home ventilator in patients with acute respiratory failure: a feasibility study. Intensive Care Med. 2007 Apr;33(4):632-8. doi: 10.1007/s00134-007-0550-1. Epub 2007 Feb 24.
- Individual participant dataSharing planned: No
Related trials for Respiratory Insufficiency
Enrolling by invitation
Personalized Ventilator Settings for Patients on ECMO
Acute Respiratory Distress Syndrome (ARDS), Extracorporeal Membrane Oxygenation
Not yet recruiting
Regional Lung Ventilation During Prone Position in in Intubated Children
Pediatric Acute Respiratory Failure
Not yet recruiting
Smartphone Camera Measurement of Breathing-Related Heart Rate Variability Compared With ECG in Healthy Adults
Respiratory Sinus Arrhythmia, Heart Rate Variability
Not yet recruiting
Mechanical Ventilator Adjustments and Patient Dyspnea
Respiratory Failure, Dyspnea During Mechanical Ventilation
RecruitingPhase 2
A Study to Learn About the Study Medicine Called PF-07275315 in People With Moderate-To-Severe Asthma
Asthma
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Helmut Teschler, Dr. med. principal investigator
Abteilung Pneumologie - Universitätsklinik, Essen, Germany
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AutoVPAP with addition of AutoEPAP and AutoVPAP with EPAP manually selected in people with Respiratory Insufficiency and Sleep Disordered Breathing, run by ResMed at 1 site in Germany.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 10 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 26 Mar 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Germany. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 26 Mar 2021). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Index of Apneoas Plus Hypopnoeas Per Hour of Sleep (AHI) (time frame: On completion of each consecutive night of polysomnography.). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT01403584, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 26 Mar 2021.