Edit researchproject
In this email you'll find a link that you can use to edit the project on the website.
Only researchers that belong to the project can edit their project.
Please use the selectlist below to indicate which researcher you are. When you click the button 'Edit project', an email will be sent to the email of the selected researcher.
Project properties
| Title | Can the eNose distinguish between complications after lung transplantation |
|---|---|
| Keywords | lung transplantation eNose Electronic Nose |
| Researchers |
dr. E.A.M. Verschuuren Dr. W. van der Bij |
| Nature of the research | Prospective, routine testing of patients, data collection, helping setting up a database, analyzing data |
| Fields of study | pulmonology |
| Background / introduction |
|---|
| It is often difficult to determine the cause of transplant dysfunction after lung transplantation. Possible causes are rejection (acute or chronic) or infection (bacterial, viral, fungal). Currently diagnosis is made based on nose swab, sputum culture, lung function, chest x-ray, lab results and sometimes bronchoscopy. A non-invasive method to distinguish between causes would be very efficient and diminish diagnostic burden for patient and hospital. eNose is a recent development that measures a pattern in exhaled air to discriminate between different diseases. It can effectively determine tuberculose infection and its role in other situation needs to be established. |
| Research question / problem definition |
|---|
|
- Can the eNose distinguish between rejection and infection after Lung Transplantation. - Can the eNose recognize between different pathogens especially fungal infection. - Can the eNose differentiate between stable patients and BOS patients (chronic rejection) - Have patients a different eNose pattern during complications in comparison to when they are stable. |
| Workplan |
|---|
|
- Routinely measurements of exhaled breath (3 minutes) at the out patients and at the lung transplansplant ward. - Setting up a database (adding on the existing one) so that the research questions can easily be answered. - Filling the database with relevant data (some are routinely done) - Analyze data to answer research questions |
| References |
|---|
|
1 Electronic nose technology for detection of invasive pulmonary aspergillosis in prolonged chemotherapy-induced neutropenia -- a proof of principle study. de Heer KK, van der Schee MP, Zwinderman AH, van den Berk IA, Visser CE, van Oers MH, Sterk PJ. J Clin Microbiol. 2013 Mar 6. Epub ahead of print 2 Follow up of lung transplant recipients using an electronic nose. Kovacs D, Bikov A, Losonczy G, Murakozy G, Horvath I. J Breath Res. 2013 Mar;7(1):017117. doi: 10.1088/1752-7155/7/1/017117. Epub 2013 Feb 27 3 The electronic nose in respiratory medicine. Montuschi P, Mores N, Trové A, Mondino C, Barnes PJ. Respiration. 2013;85(1):72-84. doi: 10.1159/000340044. Epub 2012 Sep 25 4 Diagnosis of active tuberculosis by e-nose analysis of exhaled air.Bruins M, Rahim Z, Bos A, van de Sande WW, Endtz HP, van Belkum A. Tuberculosis (Edinb). 2013 Mar;93(2):232-8. doi: 10.1016/j.tube.2012.10.002. Epub 2012 Nov 3 5 Use of an electronic nose for detection of biofilms. Thaler ER, Huang D, Giebeig L, Palmer J, Lee D, Hanson CW, Cohen N. Am J Rhinol. 2008 Jan-Feb;22(1):29-33. doi: 10.2500/ajr.2008.22.3126 6 Use of an electronic nose to diagnose bacterial sinusitis. Thaler ER, Hanson CW. Am J Rhinol. 2006 Mar-Apr;20(2):170-2. |
top