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Active, Not Recruiting

NCT Number: NCT04680832

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

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.

Active, Not Recruiting

This study is active but is not currently recruiting participants.

Key information

Sex eligibility

All sexes

Study type

Observational

Primary location

Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia

Loading trial locations.

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Electronic nose

Diagnostic 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.

Other names: SpiroNose, eNose

Primary outcomes

  1. Diagnostic accuracy for IPF - CHP

    Time frame: Baseline

    Accuracy for differentiating IPF from CHP

  2. AUC for IPF - CHP

    Time frame: Baseline

    AUC for differentiating IPF from CHP

  3. AUC for IPF - iNSIP

    Time frame: Baseline

    AUC for differentiating IPF from iNSIP

  4. Diagnostic accuracy for IPF - iNSIP

    Time frame: Baseline

    Accuracy for differentiating IPF from iNSIP

  5. AUC for IPF - IPAF

    Time frame: Baseline

    AUC for differentiating IPF from IPAF

  6. Diagnostic accuracy for IPF - IPAF

    Time frame: Baseline

    Accuracy for differentiating IPF from IPAF

  7. Diagnostic accuracy for IPF - CTD-ILD

    Time frame: Baseline

    Accuracy for differentiating IPF from CTD-ILD

  8. AUC for IPF - CTD-ILD

    Time frame: Baseline

    AUC for differentiating IPF from CTD-ILD

  9. Diagnostic accuracy for IPF - unclassifiable ILD

    Time frame: Baseline

    Accuracy for differentiating IPF from unclassifiable ILD

  10. AUC for IPF - unclassifiable ILD

    Time frame: Baseline

    AUC for differentiating IPF from unclassifiable ILD

  11. Diagnostic accuracy for CHP - iNSIP

    Time frame: Baseline

    Accuracy for differentiating CHP from iNSIP

  12. AUC for CHP - iNSIP

    Time frame: Baseline

    AUC for differentiating CHP from iNSIP

  13. Diagnostic accuracy for CHP - IPAF

    Time frame: Baseline

    Accuracy for differentiating CHP from IPAF

  14. AUC for CHP - IPAF

    Time frame: Baseline

    AUC for differentiating CHP from IPAF

  15. Diagnostic accuracy for CHP - CTD-ILD

    Time frame: Baseline

    Accuracy for differentiating CHP from CTD-ILD

  16. AUC for CHP - CTD-ILD

    Time frame: Baseline

    AUC for differentiating CHP from CTD-ILD

  17. Diagnostic accuracy for CHP - unclassifiable ILD

    Time frame: Baseline

    Accuracy for differentiating CHP from unclassifiable ILD

  18. AUC for CHP - unclassifiable ILD

    Time frame: Baseline

    AUC for differentiating CHP from unclassifiable ILD

  19. Diagnostic accuracy for iNSIP - IPAF

    Time frame: Baseline

    Accuracy for differentiating iNSIP from IPAF

  20. AUC for iNSIP - IPAF

    Time frame: Baseline

    AUC for differentiating iNSIP from IPAF

  21. Diagnostic accuracy for iNSIP - CTD-ILD

    Time frame: Baseline

    Accuracy for differentiating iNSIP from CTD-ILD

  22. AUC for iNSIP - CTD-ILD

    Time frame: Baseline

    AUC for differentiating iNSIP from CTD-ILD

  23. Diagnostic accuracy for iNSIP - unclassifiable ILD

    Time frame: Baseline

    Accuracy for differentiating iNSIP from unclassifiable ILD

  24. AUC for iNSIP - unclassifiable ILD

    Time frame: Baseline

    AUC for differentiating iNSIP from unclassifiable ILD

  25. Diagnostic accuracy for IPAF - CTD-ILD

    Time frame: Baseline

    Accuracy for differentiating IPAF from CTD-ILD

  26. AUC for IPAF - CTD-ILD

    Time frame: Baseline

    AUC for differentiating IPAF from CTD-ILD

  27. Diagnostic accuracy for IPAF - unclassifiable ILD

    Time frame: Baseline

    Accuracy for differentiating IPAF from unclassifiable ILD

  28. AUC for IPAF - unclassifiable ILD

    Time frame: Baseline

    AUC for differentiating IPAF from unclassifiable ILD

  29. Diagnostic accuracy for CTD-ILD - unclassifiable ILD

    Time frame: Baseline

    Accuracy for differentiating CTD-ILD from unclassifiable ILD

  30. AUC for CTD-ILD - unclassifiable ILD

    Time frame: Baseline

    AUC for differentiating CTD-ILD from unclassifiable ILD

  31. Disease progression

    Time frame: 12 months after inclusion

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

  32. Disease progression

    Time frame: 24 months after inclusion

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

  33. Diagnostic accuracy of disease progression

    Time frame: 6 months after inclusion

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

  34. Diagnostic accuracy of disease progression

    Time frame: 12 months after inclusion

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

  35. Diagnostic accuracy of disease progression

    Time frame: 24 months after inclusion

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

  36. Worsening of respiratory symptoms (cough and/or dyspnea)

    Time frame: 12 months after inclusion

    Worsening of respiratory symptoms (cough and/or dyspnea) measured on a visual analogue scale (0-10, 0 no symptoms, 10 most severe symptoms)

  37. Mortality

    Time frame: 12 months after inclusion

    Deceased subjects

  38. Mortality

    Time frame: 24 months after inclusion

    Deceased subjects

  39. Therapeutic effect

    Time frame: 6 months after start therapy

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

  40. Therapeutic effect

    Time frame: 12 months after start therapy

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

Secondary outcomes

  1. L-PF evaluation

    Time frame: 6 months after inclusion

    Relating Longitudinal changes in score of L-PF questionnaire to eNose values

  2. L-PF evaluation

    Time frame: 6 months after inclusion

    Relating Longitudinal changes in score of L-PF questionnaire to lung function values

  3. L-PF evaluation

    Time frame: 12 months after inclusion

    Relating Longitudinal changes in score of L-PF questionnaire to eNose values

  4. L-PF evaluation

    Time frame: 12 months after inclusion

    Relating Longitudinal changes in score of L-PF questionnaire to lung function values

  5. L-PF evaluation

    Time frame: 24 months after inclusion

    Relating Longitudinal changes in score of L-PF questionnaire to eNose values

  6. L-PF evaluation

    Time frame: 24 months after inclusion

    Relating Longitudinal changes in score of L-PF questionnaire to lung function values

  7. GRoC evaluation

    Time frame: 6 months after inclusion

    Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values

  8. GRoC evaluation

    Time frame: 6 months after inclusion

    Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values

  9. GRoC evaluation

    Time frame: 12 months after inclusion

    Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values

  10. GRoC evaluation

    Time frame: 12 months after inclusion

    Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values

  11. GRoC evaluation

    Time frame: 24 months after inclusion

    Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values

  12. GRoC evaluation

    Time frame: 24 months after inclusion

    Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values

Sponsors and collaborators

Lead sponsor

Erasmus Medical Center

Other

Registry information

Official study title

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

Acronym: ILDnose

Important dates

Study start
2020
Primary completion
2025
Study completion
2026
First posted
Dec 23, 2020
Registry last updated
Jun 18, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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