NCT04680832

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.

Trial Health

82
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
600

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Nov 2020

Longer than P75 for all trials

Geographic Reach
5 countries

5 active sites

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress89%
Nov 2020Dec 2026

Study Start

First participant enrolled

November 1, 2020

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

December 11, 2020

Completed
12 days until next milestone

First Posted

Study publicly available on registry

December 23, 2020

Completed
5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2025

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Expected
Last Updated

June 18, 2025

Status Verified

January 1, 2025

Enrollment Period

5.2 years

First QC Date

December 11, 2020

Last Update Submit

June 13, 2025

Conditions

Outcome Measures

Primary Outcomes (40)

  • Diagnostic accuracy for IPF - CHP

    Accuracy for differentiating IPF from CHP

    Baseline

  • AUC for IPF - CHP

    AUC for differentiating IPF from CHP

    Baseline

  • AUC for IPF - iNSIP

    AUC for differentiating IPF from iNSIP

    Baseline

  • Diagnostic accuracy for IPF - iNSIP

    Accuracy for differentiating IPF from iNSIP

    Baseline

  • AUC for IPF - IPAF

    AUC for differentiating IPF from IPAF

    Baseline

  • Diagnostic accuracy for IPF - IPAF

    Accuracy for differentiating IPF from IPAF

    Baseline

  • Diagnostic accuracy for IPF - CTD-ILD

    Accuracy for differentiating IPF from CTD-ILD

    Baseline

  • AUC for IPF - CTD-ILD

    AUC for differentiating IPF from CTD-ILD

    Baseline

  • Diagnostic accuracy for IPF - unclassifiable ILD

    Accuracy for differentiating IPF from unclassifiable ILD

    Baseline

  • AUC for IPF - unclassifiable ILD

    AUC for differentiating IPF from unclassifiable ILD

    Baseline

  • Diagnostic accuracy for CHP - iNSIP

    Accuracy for differentiating CHP from iNSIP

    Baseline

  • AUC for CHP - iNSIP

    AUC for differentiating CHP from iNSIP

    Baseline

  • Diagnostic accuracy for CHP - IPAF

    Accuracy for differentiating CHP from IPAF

    Baseline

  • AUC for CHP - IPAF

    AUC for differentiating CHP from IPAF

    Baseline

  • Diagnostic accuracy for CHP - CTD-ILD

    Accuracy for differentiating CHP from CTD-ILD

    Baseline

  • AUC for CHP - CTD-ILD

    AUC for differentiating CHP from CTD-ILD

    Baseline

  • Diagnostic accuracy for CHP - unclassifiable ILD

    Accuracy for differentiating CHP from unclassifiable ILD

    Baseline

  • AUC for CHP - unclassifiable ILD

    AUC for differentiating CHP from unclassifiable ILD

    Baseline

  • Diagnostic accuracy for iNSIP - IPAF

    Accuracy for differentiating iNSIP from IPAF

    Baseline

  • AUC for iNSIP - IPAF

    AUC for differentiating iNSIP from IPAF

    Baseline

  • Diagnostic accuracy for iNSIP - CTD-ILD

    Accuracy for differentiating iNSIP from CTD-ILD

    Baseline

  • AUC for iNSIP - CTD-ILD

    AUC for differentiating iNSIP from CTD-ILD

    Baseline

  • Diagnostic accuracy for iNSIP - unclassifiable ILD

    Accuracy for differentiating iNSIP from unclassifiable ILD

    Baseline

  • AUC for iNSIP - unclassifiable ILD

    AUC for differentiating iNSIP from unclassifiable ILD

    Baseline

  • Diagnostic accuracy for IPAF - CTD-ILD

    Accuracy for differentiating IPAF from CTD-ILD

    Baseline

  • AUC for IPAF - CTD-ILD

    AUC for differentiating IPAF from CTD-ILD

    Baseline

  • Diagnostic accuracy for IPAF - unclassifiable ILD

    Accuracy for differentiating IPAF from unclassifiable ILD

    Baseline

  • AUC for IPAF - unclassifiable ILD

    AUC for differentiating IPAF from unclassifiable ILD

    Baseline

  • Diagnostic accuracy for CTD-ILD - unclassifiable ILD

    Accuracy for differentiating CTD-ILD from unclassifiable ILD

    Baseline

  • AUC for CTD-ILD - unclassifiable ILD

    AUC for differentiating CTD-ILD from unclassifiable ILD

    Baseline

  • Disease progression

    FVC decline in combination with worsening of respiratory symptoms (cough and/or dyspnea) and/or progressive fibrosis on CT scan

    12 months after inclusion

  • Disease progression

    FVC decline in combination with worsening of respiratory symptoms (cough and/or dyspnea) and/or progressive fibrosis on CT scan

    24 months after inclusion

  • Diagnostic accuracy of disease progression

    Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values

    6 months after inclusion

  • Diagnostic accuracy of disease progression

    Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values

    12 months after inclusion

  • Diagnostic accuracy of disease progression

    Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values

    24 months after inclusion

  • 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)

    12 months after inclusion

  • Mortality

    Deceased subjects

    12 months after inclusion

  • Mortality

    Deceased subjects

    24 months after inclusion

  • Therapeutic effect

    Relating start of anti-fibrotic medication to change in eNose values

    6 months after start therapy

  • Therapeutic effect

    Relating start of anti-fibrotic medication to change in eNose values

    12 months after start therapy

Secondary Outcomes (12)

  • L-PF evaluation

    6 months after inclusion

  • L-PF evaluation

    6 months after inclusion

  • L-PF evaluation

    12 months after inclusion

  • L-PF evaluation

    12 months after inclusion

  • L-PF evaluation

    24 months after inclusion

  • +7 more secondary outcomes

Study Arms (1)

ILD patients

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).

Diagnostic Test: Electronic nose

Interventions

Electronic noseDIAGNOSTIC_TEST

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.

Also known as: SpiroNose, eNose
ILD patients

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Patients with ILD

You may qualify if:

  • 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.

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (5)

Royal Prince Alfred Hospital

Camperdown, New South Wales, NSW 2050, Australia

Location

University Lyon 1, Louis Pradel hospital, Lyon. FranceService de pneumologie, hôpital Louis Pradel

Lyon, France

Location

Thoraxklinik Heidelberg

Heidelberg, 69126, Germany

Location

Erasmus MC

Rotterdam, 3000 CA, Netherlands

Location

Royal Brompton Hospital

London, SW3 6NP, United Kingdom

Location

MeSH Terms

Conditions

Pulmonary Fibrosis

Condition Hierarchy (Ancestors)

Lung Diseases, InterstitialLung DiseasesRespiratory Tract DiseasesFibrosisPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Marlies S Wijsenbeek, MD PhD

    Erasmus Medical Center

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator, MD PhD

Study Record Dates

First Submitted

December 11, 2020

First Posted

December 23, 2020

Study Start

November 1, 2020

Primary Completion

December 31, 2025

Study Completion (Estimated)

December 31, 2026

Last Updated

June 18, 2025

Record last verified: 2025-01

Data Sharing

IPD Sharing
Will not share

Locations