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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.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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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
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

Other trials in Germany

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 groups in NCT01403584
Study groupRoleWhat they receive
AutoVPAP with addition of AutoEPAPExperimentalThis 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 AutoEPAPActive comparatorThis 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.

  1. 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)
  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.

  1. First posted27 Jul 2011 (estimated)
  2. Study startJul 2011
  3. Primary completionFeb 2015
  4. Study completionFeb 2015

Resources

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)
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
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

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.

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