COPD Exacerbations

NCT ID: NCT02798575

Last Updated: 2018-09-05

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

TERMINATED

Total Enrollment

7 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-06-30

Study Completion Date

2017-11-30

Brief Summary

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Detecting exacerbations to prevent a severe and / or to early treat an exacerbation is crucial in patients with COPD in order to prevent hospitalization. Patients with invasive mechanical ventilation outside the hospital have a high re-hospitalization rate which is associated with severe economic burden since those patients need to be treated mainly on an ICU or a respiratory ward being able to take care of invasive mechanical ventilation.

Recently, it has been shown that daily variations of parameters recorded by non-invasive ventilation (NIV) software are predictors of exacerbations in a cohort of COPD patients being treated outside the hospital with NIV \[1\]. These parameters were respiratory rate and percentage of respiratory cycles triggered by the patient.

The aim of the present study is to detect parameters recorded by the ventilator which are able to predict exacerbation and / or hospitalization in patients with COPD under invasive mechanical ventilation outside the hospital.

Detailed Description

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The number of mechanically ventilated patients in the intensive care unit (ICU) is increasing due to a rise in the frequency of respiratory and cardiovascular diseases as well as demographical changes. As a result, there is a corresponding increase in the time required for the complex process of weaning from mechanical ventilation (MV). Weaning from MV contributes to up to 50% of the duration of respiratory support. Especially those patients with prolonged weaning (≥3 spontaneous breathing trials over ≥7 days) refer to a very complex patient group with either chronic co-morbidities (e.g. chronic obstructive pulmonary disease \[COPD\]) or extended treatment in the ICU as a result of acute conditions (e.g. septic or cardiogenic shock, acute respiratory failure) or other significant diseases.

Not all of these patients can be weaned from the ventilator. An increasing number of patients are in need for invasive mechanical ventilation following unsuccessful weaning. They often need special care regarding ventilatory support, management of tracheal secretion and muscular re-conditioning.

These patients, especially those with COPD, are at high risk for further exacerbations and have thus a high rate of re-hospitalization. An early detection of exacerbations to rapidly implement therapeutic interventions is a major goal in the management of patients with severe COPD but may need close contact to medical experts.

However, a physician-based structure for treating this specific patient group does not exist, so that these patients often have hospital treatment. This might be preventable if clinical determinants and ventilator parameters would be detected timely.

Home ventilators for invasive ventilation are provided with built-in software recording data such as respiratory rate (RR), percentage of respiratory cycles triggered by the patient (%Trigg), tidal volume and daily usage of the ventilator. A systematic assessment of variations in specific ventilator-based parameters may help to predict the risk of exacerbation in patients with COPD treated by home care.

In sum, the objective of this study is to assess whether day-to-day variation in these ventilatory parameters recorded by the ventilators can predict an imminent exacerbation or need for hospitalization in patients with COPD treated at home with invasive ventilation. This is supposed to be of major importance, both for the progression of the disease and for economic reasons regarding the health care system. The possibility of detecting exacerbations due to ventilator analysis might be a further step towards telemonitoring of ventilator-dependent patients

Conditions

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COPD

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Interventions

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Astral 150 ventilator

Patients indicative for invasive ventilation will receive the Astral 150 ventilator at the weaning station of the hospital. The ventilator will be set by the physician. Afterwards patients will be transferred into home care.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

1. Subjects with COPD indicative for invasive ventilation outside the hospital
2. Male or female aged \> 18 years
3. Written informed consent prior to study participation by patient or legal representative

Exclusion Criteria

1. Pregnant and lactating females
2. Indication for invasive ventilation outside the hospital due to other disease than COPD
3. Inability or Unwillingness to give written informed consent
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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RWTH Aachen University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Johannes Bickenbach, Dr.

Role: PRINCIPAL_INVESTIGATOR

University Hospital, Aachen

Locations

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University Hospital RWTH Aachen

Aachen, North Rhine-Westphalia, Germany

Site Status

Countries

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Germany

References

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Borel JC, Pelletier J, Taleux N, Briault A, Arnol N, Pison C, Tamisier R, Timsit JF, Pepin JL. Parameters recorded by software of non-invasive ventilators predict COPD exacerbation: a proof-of-concept study. Thorax. 2015 Mar;70(3):284-5. doi: 10.1136/thoraxjnl-2014-206569. Epub 2015 Jan 12.

Reference Type BACKGROUND
PMID: 25582449 (View on PubMed)

Zilberberg MD, de Wit M, Pirone JR, Shorr AF. Growth in adult prolonged acute mechanical ventilation: implications for healthcare delivery. Crit Care Med. 2008 May;36(5):1451-5. doi: 10.1097/CCM.0b013e3181691a49.

Reference Type BACKGROUND
PMID: 18434911 (View on PubMed)

Lilly CM, Zuckerman IH, Badawi O, Riker RR. Benchmark data from more than 240,000 adults that reflect the current practice of critical care in the United States. Chest. 2011 Nov;140(5):1232-1242. doi: 10.1378/chest.11-0718. Epub 2011 Aug 25.

Reference Type BACKGROUND
PMID: 21868469 (View on PubMed)

Boles JM, Bion J, Connors A, Herridge M, Marsh B, Melot C, Pearl R, Silverman H, Stanchina M, Vieillard-Baron A, Welte T. Weaning from mechanical ventilation. Eur Respir J. 2007 May;29(5):1033-56. doi: 10.1183/09031936.00010206.

Reference Type BACKGROUND
PMID: 17470624 (View on PubMed)

Leidy NK, Wilcox TK, Jones PW, Murray L, Winnette R, Howard K, Petrillo J, Powers J, Sethi S; EXACT-PRO Study Group. Development of the EXAcerbations of Chronic Obstructive Pulmonary Disease Tool (EXACT): a patient-reported outcome (PRO) measure. Value Health. 2010 Dec;13(8):965-75. doi: 10.1111/j.1524-4733.2010.00772.x.

Reference Type BACKGROUND
PMID: 20659270 (View on PubMed)

Other Identifiers

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16-025

Identifier Type: -

Identifier Source: org_study_id

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