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

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

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04680832
Acronym
ILDnose
Enrollment
600
Registered
2020-12-23
Start date
2020-11-01
Completion date
2026-12-31
Last updated
2025-06-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary Fibrosis

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.

Interventions

DIAGNOSTIC_TESTElectronic nose

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.

Sponsors

Erasmus Medical Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Therapeutic effect6 months after start therapyRelating start of anti-fibrotic medication to change in eNose values
Worsening of respiratory symptoms (cough and/or dyspnea)12 months after inclusionWorsening of respiratory symptoms (cough and/or dyspnea) measured on a visual analogue scale (0-10, 0 no symptoms, 10 most severe symptoms)
Mortality12 months after inclusionDeceased subjects
Diagnostic accuracy for IPF - CHPBaselineAccuracy for differentiating IPF from CHP
AUC for IPF - CHPBaselineAUC for differentiating IPF from CHP
AUC for IPF - iNSIPBaselineAUC for differentiating IPF from iNSIP
Diagnostic accuracy for IPF - iNSIPBaselineAccuracy for differentiating IPF from iNSIP
AUC for IPF - IPAFBaselineAUC for differentiating IPF from IPAF
Diagnostic accuracy for IPF - IPAFBaselineAccuracy for differentiating IPF from IPAF
Diagnostic accuracy for IPF - CTD-ILDBaselineAccuracy for differentiating IPF from CTD-ILD
AUC for IPF - CTD-ILDBaselineAUC for differentiating IPF from CTD-ILD
Diagnostic accuracy for IPF - unclassifiable ILDBaselineAccuracy for differentiating IPF from unclassifiable ILD
AUC for IPF - unclassifiable ILDBaselineAUC for differentiating IPF from unclassifiable ILD
Diagnostic accuracy for CHP - iNSIPBaselineAccuracy for differentiating CHP from iNSIP
AUC for CHP - iNSIPBaselineAUC for differentiating CHP from iNSIP
Diagnostic accuracy for CHP - IPAFBaselineAccuracy for differentiating CHP from IPAF
AUC for CHP - IPAFBaselineAUC for differentiating CHP from IPAF
Diagnostic accuracy for CHP - CTD-ILDBaselineAccuracy for differentiating CHP from CTD-ILD
AUC for CHP - CTD-ILDBaselineAUC for differentiating CHP from CTD-ILD
Diagnostic accuracy for CHP - unclassifiable ILDBaselineAccuracy for differentiating CHP from unclassifiable ILD
AUC for CHP - unclassifiable ILDBaselineAUC for differentiating CHP from unclassifiable ILD
Diagnostic accuracy for iNSIP - IPAFBaselineAccuracy for differentiating iNSIP from IPAF
AUC for iNSIP - IPAFBaselineAUC for differentiating iNSIP from IPAF
Diagnostic accuracy for iNSIP - CTD-ILDBaselineAccuracy for differentiating iNSIP from CTD-ILD
AUC for iNSIP - CTD-ILDBaselineAUC for differentiating iNSIP from CTD-ILD
Diagnostic accuracy for iNSIP - unclassifiable ILDBaselineAccuracy for differentiating iNSIP from unclassifiable ILD
AUC for iNSIP - unclassifiable ILDBaselineAUC for differentiating iNSIP from unclassifiable ILD
Diagnostic accuracy for IPAF - CTD-ILDBaselineAccuracy for differentiating IPAF from CTD-ILD
AUC for IPAF - CTD-ILDBaselineAUC for differentiating IPAF from CTD-ILD
Diagnostic accuracy for IPAF - unclassifiable ILDBaselineAccuracy for differentiating IPAF from unclassifiable ILD
AUC for IPAF - unclassifiable ILDBaselineAUC for differentiating IPAF from unclassifiable ILD
Diagnostic accuracy for CTD-ILD - unclassifiable ILDBaselineAccuracy for differentiating CTD-ILD from unclassifiable ILD
AUC for CTD-ILD - unclassifiable ILDBaselineAUC for differentiating CTD-ILD from unclassifiable ILD
Disease progression12 months after inclusionFVC decline in combination with worsening of respiratory symptoms (cough and/or dyspnea) and/or progressive fibrosis on CT scan
Diagnostic accuracy of disease progression6 months after inclusionRelating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values

Secondary

MeasureTime frameDescription
GRoC evaluation6 months after inclusionRelating Longitudinal changes in score of Global Rating of Change Scale to eNose values
L-PF evaluation6 months after inclusionRelating Longitudinal changes in score of L-PF questionnaire to eNose values

Countries

Australia, France, Germany, Netherlands, United Kingdom

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026