Applications of Nanotechnology and Chemical Sensors for the Detection and Identification of Chronic Sinusitis Subtypes by Respiratory Samples
1 other identifier
observational
71
0 countries
N/A
Brief Summary
Professor Hossam Haick from the Technion, developed an electronic nose for diagnosis of diseases via breath samples. Biomarkers from nose and sinuses and upper respiratory tract can be detected by "electronic nose". Identification of biomarkers from nose and sinuses and upper respiratory tract can differentiate between the subtypes of CRS (Chronic rhinosinusitis) and may serve as markers for disease (vs controls), of disease activity (predicting aggressive disease course, predicting Malignant vs Benign nasal "polyps", as inverted papillpma or carcinoma; predicting response to therapy (Steroid , Antibiotics, Nasal wash, Surgery).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Sep 2014
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 28, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 27, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
September 27, 2016
CompletedFirst Submitted
Initial submission to the registry
November 22, 2017
CompletedFirst Posted
Study publicly available on registry
December 20, 2017
CompletedDecember 20, 2017
December 1, 2017
2 years
November 22, 2017
December 19, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
discrimination between healthy and CRS subtypes based on SNOT 22 questionnaire results
SNOT 22 score (score 0-110)
change in score from recruitment and every six month until 3 years after recruitment.
Successful discrimination between healthy and CRS subtypes based on sensor response (electrical resistance measurements)
Electrical resistance-Disease diagnosis based on breath analysis data classification using an artificial olfactory system (AKA, Electronic nose)
Change of electrical resistance from recruitment and every six month until 3 years after recruitment.
Study Arms (7)
CRSwPolyps with no Eosonophilia
CRS patients with nasal polyposis, and no eosonophilia.
CRSwPolyps with Eosonopholia
CRS patients with nasal polyposis and eosonophilia.
CRS without Polyps
Patients with chronic rhinosinusitis and no nasalpolyposis.
PCD
Patients with Primrary ciliary dyskinesia .
AFRS
Patients with allergic fungal rhinosinusitis.
allergic rhinitis
Patients with allergic rhinitis
Control
Healthy subjects.
Eligibility Criteria
CRS patients will be recruited through the Rhinologic clinic at the Hillel Yaffe Medical Center, after signing an informed consent. Healthy individuals that meet the inclusion/ exclusion criterions will be recruited from among the patient's escorts to the clinic or patients coming for other surgeries (unrelated spouse or acquaintance after signing an informed consent.
You may qualify if:
- CRS patients that presented in the Rhinologic clinic at the Hillel Yaffe Medical Center. CRS patients that never had FESS - endoscopic sinus surgery.
- Willing and able to give inform consent
- Control subjects:
- Age and gender match control individuals that do not have CRS or any other condition that is defined as nasal disease. These individuals will be recruited as "Healthy Population Reference" group.
- Willing and able to give informed consent
You may not qualify if:
- Patients age 18 or less, pregnant women
- Presence of HIV, hepatitis or any other potentially severe and infectious disease. Patient that had sinus surgery.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Hillel Yaffe Medical Centerlead
- The Technioncollaborator
Biospecimen
An overall of 2-4 liter breath samples will be collected in inert Mylar bags and immediately transferred to sorbent tubes.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 3 Years
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 22, 2017
First Posted
December 20, 2017
Study Start
September 28, 2014
Primary Completion
September 27, 2016
Study Completion
September 27, 2016
Last Updated
December 20, 2017
Record last verified: 2017-12