Differentiation of Upper and Lower Respiratory Tract Infections Using Automated Lung Sound Analysis With LungPass Device

Sponsor
Healthy Networks (Industry)
Overall Status
Suspended
CT.gov ID
NCT05175612
Collaborator
Belarusian Medical Academy of Post-Graduate Education (Other), University of Manchester (Other)
400
1
12.5
32.1

Study Details

Study Description

Brief Summary

This observational study evaluates whether lung sound analysis with LungPass device can be used to differentiate upper and lower respiratory tract infections (URTI and LRTI)

Condition or Disease Intervention/Treatment Phase
  • Device: Lung auscultation with LungPass device (electronic auscultation)

Detailed Description

This is a prospective observational study comprised patients presenting with acute respiratory tract infection symptoms in primary care settings. Patients will undergo routine clinical examination including lung auscultation with conventional stethoscope and LungPass device. Moreover, symptoms and anamnesis data, result of diagnostic questionnaire from the LungPass App, complete blood count, C-reactive protein, procalcitonin (PCT) level, SARS-CoV-2 PCR test and X-ray chest examination or CT chest (in case of preliminary clinical suspicion of LRTI). Patients will be followed up within 5-7 days and at the end of the disease in person or by phone for clinical course of the disease assessment to confirm the final diagnosis (URTI or LRTI). Final diagnosis will be considered as Gold standard for accuracy assessment.

Study Design

Study Type:
Observational
Anticipated Enrollment :
400 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Differentiation of Upper and Lower Respiratory Tract Infections Using Automated Lung Sound Analysis With LungPass Device
Actual Study Start Date :
Nov 16, 2021
Anticipated Primary Completion Date :
Nov 30, 2022
Anticipated Study Completion Date :
Nov 30, 2022

Outcome Measures

Primary Outcome Measures

  1. Accuracy of identifying LRTI by abnormal lung sounds [16.11.2021- 30.11.2021]

    Accuracy of differentiation between ULRTI and LRTI by abnormal lung sounds detected with LungPass device

Secondary Outcome Measures

  1. Accuracy of identifying LRTI by abnormal lung sounds in subgroups with COVID-19 and non-COVID-19 LRTI [16.11.2021- 30.11.2021]

    Accuracy of differentiation between ULRTI and LRTI by abnormal lung sounds detected with LungPass device in subgroups with COVID-19 and non-COVID-19 LRTI

  2. Lung sounds and clinical signs of LRTI correlation in patients with LRTI [16.11.2021- 30.11.2021]

    Correlation between presence of pathological pulmonary sounds detected with LungPass device and presence of clinical signs of LRTI (clinical parameters/radiology results) in patients with LRTI

Other Outcome Measures

  1. Accuracy of LRTI detection by LungPass App output [16.11.2021- 30.11.2021]

    Accuracy of of identifying LRTI by LungPass App output which based on abnormal lung sounds detected with LungPass device together with symptoms collected using a questionnaire in the LungPass app*. * Final LungPass App output is possible patient condition (acute respiratory infection, acute bronchitis, pneumonia, etc)

  2. Accuracy of bacterial LRTI detection by abnormal lung sounds using procalcitonin level as Gold Standard [16.11.2021- 30.11.2021]

    Accuracy of identifying bacterial LRTI by abnormal lung sounds detected with LungPass device using procalcitonin level as Gold Standard

Eligibility Criteria

Criteria

Ages Eligible for Study:
3 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Adults (over 18 years) and children (3-18 years) of both sexes;

  • Patients able and willing to sign an informed consent to participate in the study (parents of children younger than 18 years old will be allowed to give an informed consent on behalf of their children).

  • Patients presenting with a new onset of at least two of listed acute respiratory tract infection symptoms within the last 5 days: cough, purulent sputum, breathlessness, core temperature above 38°C.

  • Patients who first visit a GP with these symptoms within the first 5 days from the onset of symptoms and was not previously treated with antibiotics during the last month.

Exclusion Criteria:
  • Age up to 3 years;

  • Patient refusal to participate in the study (or patients' parents);

  • Children under full State care (orphans, children left without parental care);

  • Treatment with antibiotics during the last month;

  • Patients with subcutaneous emphysema, with damaged skin on the surface of the chest, with drainage in the pleural space, patients undergoing mechanical ventilation;

  • Presence of other known chronic lung conditions such as asthma, COPD, tuberculosis, cystic fibrosis or bronchiectasis;

  • Mental illness, other known acute diseases or known chronic decompensated diseases, such as a known active malignancy or severe heart failure.

  • Other known ongoing infection.

Contacts and Locations

Locations

Site City State Country Postal Code
1 19th Сentral District Polyclinic of Pervomaisky District of Minsk Minsk Belarus 220114

Sponsors and Collaborators

  • Healthy Networks
  • Belarusian Medical Academy of Post-Graduate Education
  • University of Manchester

Investigators

  • Study Director: Helena Binetskaya, CEO

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Healthy Networks
ClinicalTrials.gov Identifier:
NCT05175612
Other Study ID Numbers:
  • № 4-3/YH-2056/LP06
First Posted:
Jan 4, 2022
Last Update Posted:
Jun 7, 2022
Last Verified:
Jun 1, 2022
Individual Participant Data (IPD) Sharing Statement:
Undecided
Plan to Share IPD:
Undecided
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Healthy Networks
Additional relevant MeSH terms:

Study Results

No Results Posted as of Jun 7, 2022