Shanghai pulmonary hospital
Shanghai, Shanghai Municipality, 200433, China
NCT Number: NCT05293314
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.
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Notify Me18 year–90 year
All sexes
Observational
Shanghai, Shanghai Municipality, 200433, China
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
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.
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.
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.
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.
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.
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.
Shanghai Pulmonary Hospital, Shanghai, China
Other
Assessment of an Exhaled Breath Test Using High-Pressure Photon Ionization Time-of-Flight Mass Spectrometry to Detect Bronchiectasis
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