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.
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.
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.
Royal Prince Alfred Hospital
Camperdown, New South Wales, Australia
University Lyon 1, Louis Pradel hospital, Lyon. FranceService de pneumologie, hôpital Louis Pradel
Lyon, France
Thoraxklinik Heidelberg
Heidelberg, Germany
Erasmus MC
Rotterdam, Netherlands
Diagnostic accuracy for IPF - CHP
Accuracy for differentiating IPF from CHP
Time frame: Baseline
AUC for IPF - CHP
AUC for differentiating IPF from CHP
Time frame: Baseline
AUC for IPF - iNSIP
AUC for differentiating IPF from iNSIP
Time frame: Baseline
Diagnostic accuracy for IPF - iNSIP
Accuracy for differentiating IPF from iNSIP
Time frame: Baseline
AUC for IPF - IPAF
AUC for differentiating IPF from IPAF
Time frame: Baseline
Diagnostic accuracy for IPF - IPAF
Accuracy for differentiating IPF from IPAF
Time frame: Baseline
Diagnostic accuracy for IPF - CTD-ILD
Accuracy for differentiating IPF from CTD-ILD
Time frame: Baseline
AUC for IPF - CTD-ILD
AUC for differentiating IPF from CTD-ILD
Time frame: Baseline
Diagnostic accuracy for IPF - unclassifiable ILD
Accuracy for differentiating IPF from unclassifiable ILD
Time frame: Baseline
AUC for IPF - unclassifiable ILD
AUC for differentiating IPF from unclassifiable ILD
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Study Type
OBSERVATIONAL
Enrollment
600
Royal Brompton Hospital
London, United Kingdom
Time frame: Baseline
Diagnostic accuracy for CHP - iNSIP
Accuracy for differentiating CHP from iNSIP
Time frame: Baseline
AUC for CHP - iNSIP
AUC for differentiating CHP from iNSIP
Time frame: Baseline
Diagnostic accuracy for CHP - IPAF
Accuracy for differentiating CHP from IPAF
Time frame: Baseline
AUC for CHP - IPAF
AUC for differentiating CHP from IPAF
Time frame: Baseline
Diagnostic accuracy for CHP - CTD-ILD
Accuracy for differentiating CHP from CTD-ILD
Time frame: Baseline
AUC for CHP - CTD-ILD
AUC for differentiating CHP from CTD-ILD
Time frame: Baseline
Diagnostic accuracy for CHP - unclassifiable ILD
Accuracy for differentiating CHP from unclassifiable ILD
Time frame: Baseline
AUC for CHP - unclassifiable ILD
AUC for differentiating CHP from unclassifiable ILD
Time frame: Baseline
Diagnostic accuracy for iNSIP - IPAF
Accuracy for differentiating iNSIP from IPAF
Time frame: Baseline
AUC for iNSIP - IPAF
AUC for differentiating iNSIP from IPAF
Time frame: Baseline
Diagnostic accuracy for iNSIP - CTD-ILD
Accuracy for differentiating iNSIP from CTD-ILD
Time frame: Baseline
AUC for iNSIP - CTD-ILD
AUC for differentiating iNSIP from CTD-ILD
Time frame: Baseline
Diagnostic accuracy for iNSIP - unclassifiable ILD
Accuracy for differentiating iNSIP from unclassifiable ILD
Time frame: Baseline
AUC for iNSIP - unclassifiable ILD
AUC for differentiating iNSIP from unclassifiable ILD
Time frame: Baseline
Diagnostic accuracy for IPAF - CTD-ILD
Accuracy for differentiating IPAF from CTD-ILD
Time frame: Baseline
AUC for IPAF - CTD-ILD
AUC for differentiating IPAF from CTD-ILD
Time frame: Baseline
Diagnostic accuracy for IPAF - unclassifiable ILD
Accuracy for differentiating IPAF from unclassifiable ILD
Time frame: Baseline
AUC for IPAF - unclassifiable ILD
AUC for differentiating IPAF from unclassifiable ILD
Time frame: Baseline
Diagnostic accuracy for CTD-ILD - unclassifiable ILD
Accuracy for differentiating CTD-ILD from unclassifiable ILD
Time frame: Baseline
AUC for CTD-ILD - unclassifiable ILD
AUC for differentiating CTD-ILD from unclassifiable ILD
Time frame: Baseline
Disease progression
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
Disease progression
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
Diagnostic accuracy of disease progression
Relating disease progression (based on FVC decline, CT scan and/or symptoms) to change in eNose values
Time frame: 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
Time frame: 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
Time frame: 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)
Time frame: 12 months after inclusion
Mortality
Deceased subjects
Time frame: 12 months after inclusion
Mortality
Deceased subjects
Time frame: 24 months after inclusion
Therapeutic effect
Relating start of anti-fibrotic medication to change in eNose values
Time frame: 6 months after start therapy
Therapeutic effect
Relating start of anti-fibrotic medication to change in eNose values
Time frame: 12 months after start therapy
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
Time frame: 6 months after inclusion
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
Time frame: 6 months after inclusion
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
Time frame: 12 months after inclusion
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
Time frame: 12 months after inclusion
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to eNose values
Time frame: 24 months after inclusion
L-PF evaluation
Relating Longitudinal changes in score of L-PF questionnaire to lung function values
Time frame: 24 months after inclusion
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
Time frame: 6 months after inclusion
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values
Time frame: 6 months after inclusion
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
Time frame: 12 months after inclusion
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values
Time frame: 12 months after inclusion
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to eNose values
Time frame: 24 months after inclusion
GRoC evaluation
Relating Longitudinal changes in score of Global Rating of Change Scale to lung function values
Time frame: 24 months after inclusion