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Electronic-nose had been used to diagnose other infectious lung diseases, such as tuberculosis. Universitas Gadjah Mada has developed an electronic-nose device which is easy-to-use, portable, and can be manufactured at a low price. Here the investigators test the electronic-nose to diagnose COVID-19 in Indonesia.
The validation of device is conducted to 43 confirmed COVID-19 patients and 40 confirmed COVID-19 negative patients from Bhayangkara Hospital, RSLKC Bambalipuro in Yogyakarta Special Region, Indonesia.
Afterwards, patients with symptoms suggesting COVID-19 will be recruited using multicentre consecutive sampling. The minimum number of participants required is 1460 subjects. The study use a triple-blind design where the research subjects, breath sample takers, and sample examiners did not know the results of each sampling that had been done. The final data processor was also blinded to the results of nose and throat swabs. The breath sampling data is saved in graphic form which interpretation will be carried out later by the data processor at the final stage.
This study population involve children and adults who come to the COVID-19 outpatient clinic in each participating hospital with a diagnosis of suspected COVID-19 infection. All patients remain in the setting under medical service in accordance with the standard operating procedure (SOP) and clinical practice guidelines (CPG) protocols for handling patients with suspected COVID-19. The patients underwent nasal and oropharyngeal swabs according to the COVID-19 outpatient CPG.
The participants will be asked about symptoms that they have, such as fever, fatigue, dry cough, stuffy/ runny nose, sore throat, myalgia, shortness of breath, and diarrhea. Afterwards, they will be asked to breathe normally using a mask for 2 times, then inhale and exhale in a forced expiratory volume to an air collecting bag that later is connected to the e-nose machine via a HEPA-filter. The performance of breath test will be compared with the performance of symptoms with the reference of RT-PCR results. In addition, participants' demographic and clinical data will be collected.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group 1- 43 COVID-19 patients | Experimental | COVID-19 patients breath normally via disposable non-rebreathing mask |
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| Group 2- 40 non COVID-19 patients | Experimental | Non COVID-19 patients breath normally via disposable non-rebreathing mask |
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| Group 3- suspected COVID-19 patients | Experimental | The participants breath normally using a mask for 2 times then they are asked to inhale and exhale in a forced expiratory volume through an e-nose tube connected to the Hepa-filter at the inlet. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| exhaled breath sampling | Other | The participants breath through non-rebreathing mask until the reservoir bag is full. The reservoir bag is connected to Hepa-filter at one side, and another side of Hepa-filter is connected to the electronic-nose (Genosvid) device. |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy of electronic nose signal in COVID-19 | sensitivity, specificity, positive predictive value, negative predictive value of electronic nose signal in diagnosing COVID-19 | 2 years |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Dian K. Nurputra, MD(Paed), M.Sc, Ph.D | Faculty of Medicine, Public Health and Nursing Universitas Gadjah Mada | Principal Investigator |
| Kuwat Triyana, Prof, Dr.Eng, MSi. | Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| RS Bhayangkara Tk I R.Said Soekanto | Jakarta | Indonesia | ||||
| Saiful Anwar |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35659391 | Derived | Hidayat SN, Julian T, Dharmawan AB, Puspita M, Chandra L, Rohman A, Julia M, Rianjanu A, Nurputra DK, Triyana K, Wasisto HS. Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose. Artif Intell Med. 2022 Jul;129:102323. doi: 10.1016/j.artmed.2022.102323. Epub 2022 May 17. |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D004194 | Disease |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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3 groups:
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The person who operates breath test is blinded to the results of swab. The swab taker is blinded to the result of breath sample. The patients also do not know the results of the interpretation of the breath sample. Patients will receive information on the results of the oro/ nasopharyngeal swab in accordance with the COVID-19 health service standards. The final data processor is also blinded to the results of nose and throat swabs. The breath sampling data is saved in graphic form which interpretation will be carried out later by the data processor at the final stage.
|
| exhaled breath sampling | Other | The participants breath through non-rebreathing mask until the reservoir bag is full. The reservoir bag is connected to Hepa-filter at one side, and another side of Hepa-filter is connected to the electronic-nose (Genosvid) device. |
|
|
| exhaled breath sampling | Other | The participants breath normally using a mask for 2 times then they are asked to inhale and exhale in a forced expiratory volume through an e-nose tube connected to the Hepa-filter at the inlet. |
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| Malang |
| Indonesia |
| Dr Sardjito Hospital | Yogyakarta | 55281 | Indonesia |
| Bambanglipuro Hospital | Yogyakarta | 55764 | Indonesia |
| Bhayangkara Tk III Polda DIY | Yogyakarta | Indonesia |
| RS Akademik UGM | Yogyakarta | Indonesia |
| RSPAU Hardjolukito | Yogyakarta | Indonesia |
| RST Tk III Dr Soetarto | Yogyakarta | Indonesia |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |