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Exhaled Breath Analysis Using eNose Technology as a Biomarker for Diagnosis and Disease Progression in Fibrotic ILD (ILDnose)

Primary Purpose

Pulmonary Fibrosis

Status
Recruiting
Phase
Not Applicable
Locations
International
Study Type
Interventional
Intervention
Electronic nose
Sponsored by
Erasmus Medical Center
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Pulmonary Fibrosis

Eligibility Criteria

undefined - undefined (Child, Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Patients with a diagnosis of fibrotic ILD, as discussed in a multidisciplinary team meeting (50% incident patients and 50% prevalent patients). Patients are classified as 'incident' if they received a diagnosed in a multidisciplinary team meeting within the past six months. Patients will be required to have fibrosis on a HRCT scan <1 year before enrollment in the study defined as reticular abnormality with traction bronchiectasis, with or without honeycombing, as determined by a radiologist. No minimum extent of fibrosis will be required.

Exclusion Criteria:

  • Alcohol consumption ≤ 12 hours before the measurement
  • Physically not able to perform eNose measurement

Sites / Locations

  • University Lyon 1, Louis Pradel hospital, Lyon. FranceService de pneumologie, hôpital Louis Pradel
  • Thoraxklinik Heidelberg
  • Erasmus MCRecruiting
  • Royal Brompton Hospital

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

ILD patients

Arm Description

Patients diagnosed with one of the most prevalent fibrotic ILDs: IPF, CHP, CTD-ILD, iNSIP, IPAF, and unclassifiable ILD (defined as unclassifiable disease at the time of the first MDT).

Outcomes

Primary Outcome Measures

Diagnostic accuracy for IPF - CHP
Accuracy for differentiating IPF from CHP
AUC for IPF - CHP
AUC for differentiating IPF from CHP
AUC for IPF - iNSIP
AUC for differentiating IPF from iNSIP
Diagnostic accuracy for IPF - iNSIP
Accuracy for differentiating IPF from iNSIP
AUC for IPF - IPAF
AUC for differentiating IPF from IPAF
Diagnostic accuracy for IPF - IPAF
Accuracy for differentiating IPF from IPAF
Diagnostic accuracy for IPF - CTD-ILD
Accuracy for differentiating IPF from CTD-ILD
AUC for IPF - CTD-ILD
AUC for differentiating IPF from CTD-ILD
Diagnostic accuracy for IPF - unclassifiable ILD
Accuracy for differentiating IPF from unclassifiable ILD
AUC for IPF - unclassifiable ILD
AUC for differentiating IPF from unclassifiable ILD
Diagnostic accuracy for CHP - iNSIP
Accuracy for differentiating CHP from iNSIP
AUC for CHP - iNSIP
AUC for differentiating CHP from iNSIP
Diagnostic accuracy for CHP - IPAF
Accuracy for differentiating CHP from IPAF
AUC for CHP - IPAF
AUC for differentiating CHP from IPAF
Diagnostic accuracy for CHP - CTD-ILD
Accuracy for differentiating CHP from CTD-ILD
AUC for CHP - CTD-ILD
AUC for differentiating CHP from CTD-ILD
Diagnostic accuracy for CHP - unclassifiable ILD
Accuracy for differentiating CHP from unclassifiable ILD
AUC for CHP - unclassifiable ILD
AUC for differentiating CHP from unclassifiable ILD
Diagnostic accuracy for iNSIP - IPAF
Accuracy for differentiating iNSIP from IPAF
AUC for iNSIP - IPAF
AUC for differentiating iNSIP from IPAF
Diagnostic accuracy for iNSIP - CTD-ILD
Accuracy for differentiating iNSIP from CTD-ILD
AUC for iNSIP - CTD-ILD
AUC for differentiating iNSIP from CTD-ILD
Diagnostic accuracy for iNSIP - unclassifiable ILD
Accuracy for differentiating iNSIP from unclassifiable ILD
AUC for iNSIP - unclassifiable ILD
AUC for differentiating iNSIP from unclassifiable ILD
Diagnostic accuracy for IPAF - CTD-ILD
Accuracy for differentiating IPAF from CTD-ILD
AUC for IPAF - CTD-ILD
AUC for differentiating IPAF from CTD-ILD
Diagnostic accuracy for IPAF - unclassifiable ILD
Accuracy for differentiating IPAF from unclassifiable ILD
AUC for IPAF - unclassifiable ILD
AUC for differentiating IPAF from unclassifiable ILD
Diagnostic accuracy for CTD-ILD - unclassifiable ILD
Accuracy for differentiating CTD-ILD from unclassifiable ILD
AUC for CTD-ILD - unclassifiable ILD
AUC for differentiating CTD-ILD from unclassifiable ILD
Disease progression
FVC decline in combination with worsening of respiratory symptoms (cough and/or dyspnea) and/or progressive fibrosis on CT scan
Disease progression
FVC decline in combination with worsening of respiratory symptoms (cough and/or dyspnea) and/or progressive fibrosis on CT scan
Diagnostic accuracy of disease progression
Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values
Diagnostic accuracy of disease progression
Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values
Diagnostic accuracy of disease progression
Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values
Worsening of respiratory symptoms (cough and/or dyspnea)
Worsening of respiratory symptoms (cough and/or dyspnea) measured on a visual analogue scale (0-10, 0 no symptoms, 10 most severe symptoms)
Mortality
Deceased subjects
Mortality
Deceased subjects
Therapeutic effect
Relating start of anti-fibrotic medication to change in eNose values
Therapeutic effect
Relating start of anti-fibrotic medication to change in eNose values

Secondary Outcome Measures

L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values

Full Information

First Posted
December 11, 2020
Last Updated
August 5, 2022
Sponsor
Erasmus Medical Center
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1. Study Identification

Unique Protocol Identification Number
NCT04680832
Brief Title
Exhaled Breath Analysis Using eNose Technology as a Biomarker for Diagnosis and Disease Progression in Fibrotic ILD
Acronym
ILDnose
Official Title
Exhaled Breath Analysis Using eNose Technology as a Biomarker for Diagnosis and Disease Progression in Fibrotic Interstitial Lung Disease
Study Type
Interventional

2. Study Status

Record Verification Date
August 2022
Overall Recruitment Status
Recruiting
Study Start Date
November 1, 2020 (Actual)
Primary Completion Date
December 31, 2023 (Anticipated)
Study Completion Date
December 31, 2024 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Erasmus Medical Center

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No

5. Study Description

Brief Summary
The ILDnose study a multinational, multicenter, prospective, longitudinal study in outpatients with pulmonary fibrosis. The aim is to assess the accuracy of eNose technology as diagnostic tool for diagnosis and differentiation between the most prevalent fibrotic interstitial lung diseases. The value of eNose as biomarker for disease progression and response to treatment is also assessed. Besides, validity of several questionnaires for pulmonary fibrosis is investigated.
Detailed Description
Patients will be included in the study after signing written informed consent. eNose measurements will take place before or after a routine outpatient clinic visit at the same location as the regular visit, ensuring minimal inconvenience for patients. First, patients will be asked to rinse their mouth thoroughly with water three times. Subsequently, exhaled breath analysis will be performed in duplicate with a 1-minute interval. An eNose measurement consists of five tidal breaths, followed by an inspiratory capacity maneuver to total lung capacity, a five second breath hold, and subsequently a slow expiration (flow <0.4L/s) to residual volume. The measurements are non-invasive and will cost approximately 5-10 minutes in total, including explanation and informed consent procedure. There are no risks associated with this study and the burden for patients is minimal. After the measurement, patients will complete a short survey about questions relevant for the data analysis (food intake in the last two hours, smoking history, medication use, comorbidities, and symptoms of respiratory infection). In addition, patients will complete the L-PF questionnaire and the Global Rating of Change scale (GRoC). The L-PF questionnaire consists of 21 questions on a 5-point Likert scale about the impact of pulmonary fibrosis on quality of life, and takes about 3 minutes to complete. The GRoC consists of one question on a scale from -7 to 7: were there any changes in your quality of life since your last visit? Symptoms (cough and dyspnea) will be scored on a 10 cm VAS scale from -5 to 5. Next to eNose measurements, demographic data and physiological parameters of patients will be collected from the medical records at baseline, month 6, and month 12. Parameters such as age, gender, diagnosis, time since diagnosis, comorbidities, medication, pulmonary function (forced vital capacity (FVC) and diffusion capacity of the lung for carbon monoxide (DLCO)), laboratory parameters (i.e. auto-immune antibodies), HRCT pattern, BAL results and if applicable also genetic mutations, will be recorded and stored in an electronic case report form. These parameters will be collected as part of routine daily care, patients will not undergo any additional tests for study purposes. HRCT scans will be re-analysed centrally by an experienced ILD thoracic radiologist. Mortality and lung function parameters will also be collected at 24 months, if this information is available.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Pulmonary Fibrosis

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
600 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
ILD patients
Arm Type
Experimental
Arm Description
Patients diagnosed with one of the most prevalent fibrotic ILDs: IPF, CHP, CTD-ILD, iNSIP, IPAF, and unclassifiable ILD (defined as unclassifiable disease at the time of the first MDT).
Intervention Type
Diagnostic Test
Intervention Name(s)
Electronic nose
Other Intervention Name(s)
SpiroNose, eNose
Intervention Description
First, patients will be asked to rinse their mouth thoroughly with water three times. Subsequently, exhaled breath analysis will be performed in duplicate with a 1-minute interval. An eNose measurement consists of five tidal breaths, followed by an inspiratory capacity maneuver to total lung capacity, a five second breath hold, and subsequently a slow expiration (flow <0.4L/s) to residual volume. The measurements are non-invasive and will cost approximately 5-10 minutes in total, including explanation and informed consent procedure. There are no risks associated with this study and the burden for patients is minimal.
Primary Outcome Measure Information:
Title
Diagnostic accuracy for IPF - CHP
Description
Accuracy for differentiating IPF from CHP
Time Frame
Baseline
Title
AUC for IPF - CHP
Description
AUC for differentiating IPF from CHP
Time Frame
Baseline
Title
AUC for IPF - iNSIP
Description
AUC for differentiating IPF from iNSIP
Time Frame
Baseline
Title
Diagnostic accuracy for IPF - iNSIP
Description
Accuracy for differentiating IPF from iNSIP
Time Frame
Baseline
Title
AUC for IPF - IPAF
Description
AUC for differentiating IPF from IPAF
Time Frame
Baseline
Title
Diagnostic accuracy for IPF - IPAF
Description
Accuracy for differentiating IPF from IPAF
Time Frame
Baseline
Title
Diagnostic accuracy for IPF - CTD-ILD
Description
Accuracy for differentiating IPF from CTD-ILD
Time Frame
Baseline
Title
AUC for IPF - CTD-ILD
Description
AUC for differentiating IPF from CTD-ILD
Time Frame
Baseline
Title
Diagnostic accuracy for IPF - unclassifiable ILD
Description
Accuracy for differentiating IPF from unclassifiable ILD
Time Frame
Baseline
Title
AUC for IPF - unclassifiable ILD
Description
AUC for differentiating IPF from unclassifiable ILD
Time Frame
Baseline
Title
Diagnostic accuracy for CHP - iNSIP
Description
Accuracy for differentiating CHP from iNSIP
Time Frame
Baseline
Title
AUC for CHP - iNSIP
Description
AUC for differentiating CHP from iNSIP
Time Frame
Baseline
Title
Diagnostic accuracy for CHP - IPAF
Description
Accuracy for differentiating CHP from IPAF
Time Frame
Baseline
Title
AUC for CHP - IPAF
Description
AUC for differentiating CHP from IPAF
Time Frame
Baseline
Title
Diagnostic accuracy for CHP - CTD-ILD
Description
Accuracy for differentiating CHP from CTD-ILD
Time Frame
Baseline
Title
AUC for CHP - CTD-ILD
Description
AUC for differentiating CHP from CTD-ILD
Time Frame
Baseline
Title
Diagnostic accuracy for CHP - unclassifiable ILD
Description
Accuracy for differentiating CHP from unclassifiable ILD
Time Frame
Baseline
Title
AUC for CHP - unclassifiable ILD
Description
AUC for differentiating CHP from unclassifiable ILD
Time Frame
Baseline
Title
Diagnostic accuracy for iNSIP - IPAF
Description
Accuracy for differentiating iNSIP from IPAF
Time Frame
Baseline
Title
AUC for iNSIP - IPAF
Description
AUC for differentiating iNSIP from IPAF
Time Frame
Baseline
Title
Diagnostic accuracy for iNSIP - CTD-ILD
Description
Accuracy for differentiating iNSIP from CTD-ILD
Time Frame
Baseline
Title
AUC for iNSIP - CTD-ILD
Description
AUC for differentiating iNSIP from CTD-ILD
Time Frame
Baseline
Title
Diagnostic accuracy for iNSIP - unclassifiable ILD
Description
Accuracy for differentiating iNSIP from unclassifiable ILD
Time Frame
Baseline
Title
AUC for iNSIP - unclassifiable ILD
Description
AUC for differentiating iNSIP from unclassifiable ILD
Time Frame
Baseline
Title
Diagnostic accuracy for IPAF - CTD-ILD
Description
Accuracy for differentiating IPAF from CTD-ILD
Time Frame
Baseline
Title
AUC for IPAF - CTD-ILD
Description
AUC for differentiating IPAF from CTD-ILD
Time Frame
Baseline
Title
Diagnostic accuracy for IPAF - unclassifiable ILD
Description
Accuracy for differentiating IPAF from unclassifiable ILD
Time Frame
Baseline
Title
AUC for IPAF - unclassifiable ILD
Description
AUC for differentiating IPAF from unclassifiable ILD
Time Frame
Baseline
Title
Diagnostic accuracy for CTD-ILD - unclassifiable ILD
Description
Accuracy for differentiating CTD-ILD from unclassifiable ILD
Time Frame
Baseline
Title
AUC for CTD-ILD - unclassifiable ILD
Description
AUC for differentiating CTD-ILD from unclassifiable ILD
Time Frame
Baseline
Title
Disease progression
Description
FVC decline in combination with worsening of respiratory symptoms (cough and/or dyspnea) and/or progressive fibrosis on CT scan
Time Frame
12 months after inclusion
Title
Disease progression
Description
FVC decline in combination with worsening of respiratory symptoms (cough and/or dyspnea) and/or progressive fibrosis on CT scan
Time Frame
24 months after inclusion
Title
Diagnostic accuracy of disease progression
Description
Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values
Time Frame
6 months after inclusion
Title
Diagnostic accuracy of disease progression
Description
Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values
Time Frame
12 months after inclusion
Title
Diagnostic accuracy of disease progression
Description
Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values
Time Frame
24 months after inclusion
Title
Worsening of respiratory symptoms (cough and/or dyspnea)
Description
Worsening of respiratory symptoms (cough and/or dyspnea) measured on a visual analogue scale (0-10, 0 no symptoms, 10 most severe symptoms)
Time Frame
12 months after inclusion
Title
Mortality
Description
Deceased subjects
Time Frame
12 months after inclusion
Title
Mortality
Description
Deceased subjects
Time Frame
24 months after inclusion
Title
Therapeutic effect
Description
Relating start of anti-fibrotic medication to change in eNose values
Time Frame
6 months after start therapy
Title
Therapeutic effect
Description
Relating start of anti-fibrotic medication to change in eNose values
Time Frame
12 months after start therapy
Secondary Outcome Measure Information:
Title
L-PF evaluation
Description
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
Time Frame
6 months after inclusion
Title
L-PF evaluation
Description
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
Time Frame
6 months after inclusion
Title
L-PF evaluation
Description
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
Time Frame
12 months after inclusion
Title
L-PF evaluation
Description
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
Time Frame
12 months after inclusion
Title
L-PF evaluation
Description
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
Time Frame
24 months after inclusion
Title
L-PF evaluation
Description
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
Time Frame
24 months after inclusion
Title
GRoC evaluation
Description
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
Time Frame
6 months after inclusion
Title
GRoC evaluation
Description
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values
Time Frame
6 months after inclusion
Title
GRoC evaluation
Description
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
Time Frame
12 months after inclusion
Title
GRoC evaluation
Description
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values
Time Frame
12 months after inclusion
Title
GRoC evaluation
Description
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
Time Frame
24 months after inclusion
Title
GRoC evaluation
Description
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values
Time Frame
24 months after inclusion

10. Eligibility

Sex
All
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Patients with a diagnosis of fibrotic ILD, as discussed in a multidisciplinary team meeting (50% incident patients and 50% prevalent patients). Patients are classified as 'incident' if they received a diagnosed in a multidisciplinary team meeting within the past six months. Patients will be required to have fibrosis on a HRCT scan <1 year before enrollment in the study defined as reticular abnormality with traction bronchiectasis, with or without honeycombing, as determined by a radiologist. No minimum extent of fibrosis will be required. Exclusion Criteria: Alcohol consumption ≤ 12 hours before the measurement Physically not able to perform eNose measurement
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Marlies S Wijsenbeek, MD PhD
Phone
+31107030323
Ext
+31107030323
Email
m.wijsenbeek-lourens@erasmusmc.nl
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Marlies S Wijsenbeek, MD PhD
Organizational Affiliation
Erasmus Medical Center
Official's Role
Principal Investigator
Facility Information:
Facility Name
University Lyon 1, Louis Pradel hospital, Lyon. FranceService de pneumologie, hôpital Louis Pradel
City
Lyon
Country
France
Individual Site Status
Not yet recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Vincent Cottin, Prof.
Phone
+33472357652
Email
vincent.cottin@chu-lyon.fr
Facility Name
Thoraxklinik Heidelberg
City
Heidelberg
ZIP/Postal Code
69126
Country
Germany
Individual Site Status
Not yet recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Michael Kreuter, Prof Dr
Phone
062213960
Ext
062213960
Email
kreuter@uni-heidelberg.de
Facility Name
Erasmus MC
City
Rotterdam
ZIP/Postal Code
3000 CA
Country
Netherlands
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Iris G van der Sar, MD
Phone
0031611056352
Ext
0031611056352
Email
i.g.vandersar@erasmusmc.nl
First Name & Middle Initial & Last Name & Degree
Marlies S Wijsenbeek, MD PhD
Facility Name
Royal Brompton Hospital
City
London
ZIP/Postal Code
SW3 6NP
Country
United Kingdom
Individual Site Status
Not yet recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Philip L Molyneaux
Phone
+442073528121
Ext
+442073528121
Email
p.molyneaux@imperial.ac.uk

12. IPD Sharing Statement

Learn more about this trial

Exhaled Breath Analysis Using eNose Technology as a Biomarker for Diagnosis and Disease Progression in Fibrotic ILD

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