Change in Breathing Pattern on Non-invasive Ventilation of COPD Patients Under Home Mechanical Ventilation

NCT ID: NCT03018470

Last Updated: 2018-05-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

80 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-01-31

Study Completion Date

2017-08-31

Brief Summary

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Acute exacerbation of COPD (AECOPD) worsen prognosis and quality of life of COPD patients. Telemonitoring could be a useful tool for early identification of AECOPD. Parameters that have to be monitored are not well defined.

Patients with severe COPD may use home non-invasive ventilation (NIV). NIV have built-in software which are recording the breathing pattern of patients when used. The aim of this study is to identify ventilation parameters that are modified at the early stage of an AECOPD.

Detailed Description

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Conditions

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Copd COPD Exacerbation

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Control cohort

Patient with COPD and home NIV admitted for planned respiratory review and without any sign of exacerbation

Analysis of data from NIV built-in software

Intervention Type OTHER

Analysis of breathing pattern using data obtained from NIV built-in software

Exacerbation cohort

Patient with COPD and home NIV admitted for acute exacerbation of COPD

Analysis of data from NIV built-in software

Intervention Type OTHER

Analysis of breathing pattern using data obtained from NIV built-in software

Outpatient exacerbation

Patient with COPD and home NIV admitted for planned respiratory review and with signs of acute exacerbation of COPD but not requiring inpatient management

Analysis of data from NIV built-in software

Intervention Type OTHER

Analysis of breathing pattern using data obtained from NIV built-in software

Interventions

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Analysis of data from NIV built-in software

Analysis of breathing pattern using data obtained from NIV built-in software

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Diagnosed COPD according to GOLD guidelines
* Established on home non invasive ventilation for more than 2 weeks

Exclusion Criteria

* None
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Rouen

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Maxime Patout, MD

Role: PRINCIPAL_INVESTIGATOR

University Hospital, Rouen

Antoine Cuvelier, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

University Hospital, Rouen

Sophie Blouet

Role: PRINCIPAL_INVESTIGATOR

University Hospital, Rouen

Locations

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Service de Pneumologie, Oncologie Thoracique et Soins Intensifs Respiratoires

Rouen, Normandy, France

Site Status

Countries

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France

Other Identifiers

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2017/015/SC

Identifier Type: -

Identifier Source: org_study_id

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