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Assessment of an Exhaled Breath Test to Detect Bronchiectasis

Assessment of an Exhaled Breath Test Using High-Pressure Photon Ionization Time-of-Flight Mass Spectrometry to Detect Bronchiectasis

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05293314
Enrollment
544
Registered
2022-03-24
Start date
2022-07-01
Completion date
2023-05-20
Last updated
2024-11-19

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

Conditions

Bronchiectasis

Keywords

bronchiectasis, breathomics, exhaled breath

Brief summary

To investigate whether the breath test is able to detect bronchiectasis using breathomics. This study was conducted with a prospective specimen collection, evaluator-blinded, case-controlled clinical study designed to evaluate the accuracy of breathomics to diagnosis of bronchiectasis in adults.

Detailed description

Bronchiectasis is a chronic airway inflammation with irreversible expansion of bronchial walls, which is characteristic by chronic cough, mucinous sputum, dyspnea and wheezing. High resolution CT (HRCT) combined with clinical manifestations is the main diagnostic method of bronchiectasis, but HRCT is expensive and radioactive. Therefore, it is urgent to develop a new technology to diagnose bronchiectasis. Exhaled breath may be a better tool for bronchiectasis detection because of its noninvasive nature. Many efforts have been made to develop breath tests for lung cancer, asthma and Helicobacter pylori infection. However, little studies pay attention to bronchiectasis. High-pressure photon ionization time-of-flight mass spectrometry (HPPI-TOFMS) is a promising tool for breath testing, because it is highly sensitive, does not require pretreatment of exhaled breath, and holds great tolerance for humidity. In our case-control diagnostic study, we investigated whether a breath test combining HPPI-TOFMS and a support vector machine (SVM) algorithm was able to distinguish patients with bronchiectasis from control individuals.

Interventions

DIAGNOSTIC_TESTAn exhaled breath test

All exhaled breath samples were collected by trained investigators following the same protocol. All participants fasted for at least 6 hours before breath collection. To reduce potential confounding factors, all participants were asked to not ingest spicy food, alcohol, or coffee the night before exhaled breath collection. Exhaled breath was collected in Tedlar air bags (DuPont de Nemours). The night before breath collection, the Tedlar bags were baked at 60 °C for 3 hours to fully release possible contaminants and continuously purged with high-purity nitrogen 4 times. Participants first gargled with pure water and then performed a single deep nasal inhalation followed by complete exhalation via their mouth into Tedlar bags. A total of 1000 mL of exhaled breath was collected from each participant. Breath sample detection was based on the HPPI-TOFMS platform.

Sponsors

Shanghai Pulmonary Hospital, Shanghai, China
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
Yes

Inclusion criteria

BE Patients were recruited according to the following inclusion criteria: (1) Age\>18 years; (2) the diagnosis of BE was according to European Respiratory Society guidelines for the management of adult bronchiectasis; (3) Willing to join in and sign the informed consent form. Healthy control subjects were recruited according to the following inclusion criteria:(1) Age\>18 years; (2) No history of any lung disease (according to pulmonary imaging and physical examinations); (3) Willing to join in and sign the informed consent form. Unhealthy control subjects were recruited according to the following inclusion criteria: (1) Age\>18 years; (2) The diagnosis of ILD was according to HRCT and clinical symptoms by two experts' consensus; (3) The diagnosis of Sarcoidosis (SA) was according to American Thoracic Society Clinical Practice Guideline;(4) Willing to join in and sign the informed consent form.

Exclusion criteria

(1) Patients combined with serious comorbidities (chronic renal failure, hepatic disease, etc.); (2) Patients who are diagnosed with asthma, pneumonia, malignant tumor, and COPD; (3) Women who are pregnant or preparing for pregnancy or breastfeeding; (4) Participated in other clinical trials within three months; (5) Refused to join in and sign the informed consent form.

Design outcomes

Primary

MeasureTime frameDescription
The Ability of the Breath Test Model to Distinguish Bronchiectasis From Healthy PeopleOne week.Exhaled breath samples were collected on the first day of patients' hospitalization and sent to detect VOCs.The entire process will take one week.Evaluate the ability of the breath test model to distinguish bronchiectasis from healthy individuals by measuring the area under the receiver operating characteristic (ROC) curves. The maximum value in the area below the receiver is 1. The closer the value is to 1, the higher the prediction accuracy of the model.

Secondary

MeasureTime frameDescription
The Sensitivity of the Breath Test Model to Distinguish Bronchiectasis From Healthy PeopleOne week.Exhaled breath samples were collected on the first day of patients' hospitalization and sent to detect VOCs.The entire process will take one week.Sensitivity=number of true positives/(number of true positives+number of false negatives) \* 100% Sensitivity is the rate of correctly judging patients.We calculated the sensitivity of the breath test model to distinguish bronchiectasis from healthy people.The maximum percentage of the sensitivity is 100%. The higher the percentage is , the more sensitive of the model.

Other

MeasureTime frameDescription
The Specificity of the Breath Test Model to Distinguish Bronchiectasis From Healthy PeopleOne week.Exhaled breath samples were collected on the first day of patients' hospitalization and sent to detect VOCs.The entire process will take one week.Specificity=number of true negative cases/(number of true negative cases+number of false positive cases) \* 100% The specificity is the rate of correctly judging non patients.We calculated the specificity of the breath test model to distinguish bronchiectasis from healthy people.The maximum percentage of the specificity is 100%. The higher the percentage is , the more specificity of the model.

Countries

China

Participant flow

Participants by arm

ArmCount
Patients With Bronchiectasis
Diagnosis of bronchiectasis was performed using chest HRCT scans in suspected patients with coughing and expectoration, or long durations of haemoptysis. High-resolution images were obtained during full inspiration at 1-mm collimation and 10-mm intervals from the apex to the base of the lungs. The presence of bronchiectasis was confirmed based on the following criteria: 1) lack of tapering in the bronchi; 2) dilation of the bronchi where the internal diameter was larger than that of the adjacent pulmonary artery; or 3) visualisation of the peripheral bronchi within 1 cm of the costal pleural surface or the adjacent mediastinal pleural surface. an exhaled breath test: All exhaled breath samples were collected by trained investigators following the same protocol. All participants fasted for at least 6 hours before breath collection. To reduce potential confounding factors, all participants were asked to not ingest spicy food, alcohol, or coffee the night before exhaled breath collection. Exhaled breath was collected in Tedlar air bags (DuPont de Nemours). The night before breath collection, the Tedlar bags were baked at 60 °C for 3 hours to fully release possible contaminants and continuously purged with high-purity nitrogen 4 times. Participants first gargled with pure water and then performed a single deep nasal inhalation followed by complete exhalation via their mouth into Tedlar bags. A total of 1000 mL of exhaled breath was collected from each participant.
215
Healthy Control Group
Control group is healthy participants. an exhaled breath test: All exhaled breath samples were collected by trained investigators following the same protocol. All participants fasted for at least 6 hours before breath collection. To reduce potential confounding factors, all participants were asked to not ingest spicy food, alcohol, or coffee the night before exhaled breath collection. Exhaled breath was collected in Tedlar air bags (DuPont de Nemours). The night before breath collection, the Tedlar bags were baked at 60 °C for 3 hours to fully release possible contaminants and continuously purged with high-purity nitrogen 4 times. Participants first gargled with pure water and then performed a single deep nasal inhalation followed by complete exhalation via their mouth into Tedlar bags. A total of 1000 mL of exhaled breath was collected from each participant.
221
Unhealthy Control Group
Patients with interstitial lung disease or patients with Sarcoidosis. Interstitial lung disease is a heterogeneous pulmonary disease characterized with lung fibrosis and manifest with breathlessness. Sarcoidosis is a systemic disease of unknown etiology characterized by the formation of granulomas in various organs, mostly involved is the lungs and intrathoracic lymph nodes . an exhaled breath test: All exhaled breath samples were collected by trained investigators following the same protocol. All participants fasted for at least 6 hours before breath collection. To reduce potential confounding factors, all participants were asked to not ingest spicy food, alcohol, or coffee the night before exhaled breath collection. Exhaled breath was collected in Tedlar air bags (DuPont de Nemours). The night before breath collection, the Tedlar bags were baked at 60 °C for 3 hours to fully release possible contaminants and continuously purged with high-purity nitrogen 4 times. Participants first gargled with pure water and then performed a single deep nasal inhalation followed by complete exhalation via their mouth into Tedlar bags. A total of 1000 mL of exhaled breath was collected from each participant.
74
Total510

Baseline characteristics

CharacteristicTotalHealthy Control GroupPatients With BronchiectasisUnhealthy Control Group
Age, Continuous56 years52 years57 years65 years
Alcohol
Drinker
20 Participants11 Participants6 Participants3 Participants
Alcohol
Non-drinker
448 Participants173 Participants204 Participants71 Participants
Alcohol
No record
42 Participants37 Participants5 Participants0 Participants
BMI(Body Mass Index)22.9 kg/m^223.9 kg/m^221.1 kg/m^224.2 kg/m^2
Race and Ethnicity Not Collected0 Participants
Sex: Female, Male
Female
328 Participants145 Participants150 Participants33 Participants
Sex: Female, Male
Male
182 Participants76 Participants65 Participants41 Participants
Smoking
Non-smoker
391 Participants162 Participants183 Participants46 Participants
Smoking
No record
24 Participants19 Participants5 Participants0 Participants
Smoking
Smoker
95 Participants40 Participants27 Participants28 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
deaths
Total, all-cause mortality
0 / 2150 / 2210 / 74
other
Total, other adverse events
5 / 2150 / 2212 / 74
serious
Total, serious adverse events
0 / 2150 / 2210 / 74

Outcome results

Primary

The Ability of the Breath Test Model to Distinguish Bronchiectasis From Healthy People

Evaluate the ability of the breath test model to distinguish bronchiectasis from healthy individuals by measuring the area under the receiver operating characteristic (ROC) curves. The maximum value in the area below the receiver is 1. The closer the value is to 1, the higher the prediction accuracy of the model.

Time frame: One week.Exhaled breath samples were collected on the first day of patients' hospitalization and sent to detect VOCs.The entire process will take one week.

Population: All participants were randomly divided to a discovery cohort (n=252), an internal validation cohort (n=103) and a blinded test cohort (n=155). The main outcomes were assumed by the data analysed from the blinded test cohort which was mentioned above.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Bronchiectasis ParticipantsThe Ability of the Breath Test Model to Distinguish Bronchiectasis From Healthy People65 Participants
Healthy ControlsThe Ability of the Breath Test Model to Distinguish Bronchiectasis From Healthy People67 Participants
Unhealthy ControlsThe Ability of the Breath Test Model to Distinguish Bronchiectasis From Healthy People23 Participants
Comparison: Evaluate the ability of the breath test model to distinguish bronchiectasis from healthy individuals by measuring the area under the receiver operating characteristic (ROC) curves. The maximum value in the area below the receiver is 1. The closer the value is to 1, the higher the prediction accuracy of the model.p-value: <0.0595% CI: [0.932, 0.996]Wilcoxon (Mann-Whitney)
Comparison: Evaluate the ability of the breath test model to distinguish bronchiectasis from healthy individuals by measuring the area under the receiver operating characteristic (ROC) curves. The maximum value in the area below the receiver is 1. The closer the value is to 1, the higher the prediction accuracy of the model.p-value: <0.0595% CI: [0.879, 0.982]Wilcoxon (Mann-Whitney)
Secondary

The Sensitivity of the Breath Test Model to Distinguish Bronchiectasis From Healthy People

Sensitivity=number of true positives/(number of true positives+number of false negatives) \* 100% Sensitivity is the rate of correctly judging patients.We calculated the sensitivity of the breath test model to distinguish bronchiectasis from healthy people.The maximum percentage of the sensitivity is 100%. The higher the percentage is , the more sensitive of the model.

Time frame: One week.Exhaled breath samples were collected on the first day of patients' hospitalization and sent to detect VOCs.The entire process will take one week.

Population: All participants were randomly divided to a discovery cohort (n=252), an internal validation cohort (n=103) and a blinded test cohort (n=155). The main outcomes were assumed by the data analysed from the blinded test cohort which was mentioned above.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Bronchiectasis ParticipantsThe Sensitivity of the Breath Test Model to Distinguish Bronchiectasis From Healthy People65 Participants
Healthy ControlsThe Sensitivity of the Breath Test Model to Distinguish Bronchiectasis From Healthy People67 Participants
Unhealthy ControlsThe Sensitivity of the Breath Test Model to Distinguish Bronchiectasis From Healthy People23 Participants
Comparison: Sensitivity=number of true positives/(number of true positives+number of false negatives) \* 100% Sensitivity is the rate of correctly judging patients.We calculated the sensitivity of the breath test model to distinguish bronchiectasis from healthy people.The maximum percentage of the sensitivity is 100%. The higher the percentage is , the more sensitive of the model.95% CI: [77.1, 95.2]
Comparison: Sensitivity=number of true positives/(number of true positives+number of false negatives) \* 100% Sensitivity is the rate of correctly judging patients.We calculated the sensitivity of the breath test model to distinguish bronchiectasis from healthy people.The maximum percentage of the sensitivity is 100%. The higher the percentage is , the more sensitive of the model.95% CI: [77.1, 95.2]
Other Pre-specified

The Specificity of the Breath Test Model to Distinguish Bronchiectasis From Healthy People

Specificity=number of true negative cases/(number of true negative cases+number of false positive cases) \* 100% The specificity is the rate of correctly judging non patients.We calculated the specificity of the breath test model to distinguish bronchiectasis from healthy people.The maximum percentage of the specificity is 100%. The higher the percentage is , the more specificity of the model.

Time frame: One week.Exhaled breath samples were collected on the first day of patients' hospitalization and sent to detect VOCs.The entire process will take one week.

Population: All participants were randomly divided to a discovery cohort (n=252), an internal validation cohort (n=103) and a blinded test cohort (n=155). The main outcomes were assumed by the data analysed from the blinded test cohort which was mentioned above.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Bronchiectasis ParticipantsThe Specificity of the Breath Test Model to Distinguish Bronchiectasis From Healthy People65 Participants
Healthy ControlsThe Specificity of the Breath Test Model to Distinguish Bronchiectasis From Healthy People67 Participants
Unhealthy ControlsThe Specificity of the Breath Test Model to Distinguish Bronchiectasis From Healthy People23 Participants
Comparison: Specificity=number of true negative cases/(number of true negative cases+number of false positive cases) \* 100% The specificity is the rate of correctly judging non patients.We calculated the specificity of the breath test model to distinguish bronchiectasis from healthy people.The maximum percentage of the specificity is 100%. The higher the percentage is , the more specificity of the model.95% CI: [86.2, 98.8]
Comparison: Specificity=number of true negative cases/(number of true negative cases+number of false positive cases) \* 100% The specificity is the rate of correctly judging non patients.We calculated the specificity of the breath test model to distinguish bronchiectasis from healthy people.The maximum percentage of the specificity is 100%. The higher the percentage is , the more specificity of the model.95% CI: [56, 91.9]

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