Email this article Continuous monitoring of lung sounds by electronic auscultation – reliable method for assessing asthma control
- Authors: Glotov S.I.1, Uryasev O.M.1, Byalovskiy Y.Y.1, Ponomareva I.B.1, Berstneva S.V.1, Lunyakov V.A.1, Molotkova N.P.1
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Affiliations:
- Ryazan State Medical University
- Section: Original study article
- Submitted: 17.03.2025
- Accepted: 20.07.2025
- Published: 22.07.2025
- URL: https://journals.eco-vector.com/RFD/article/view/677244
- DOI: https://doi.org/10.17816/RFD677244
- ID: 677244
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Abstract
Introduction. The assessment of asthma control typically relies on clinical evaluation, patient questionnaires, and pulmonary function tests (PFT). Lung sound monitoring has the potential to optimize the diagnosis of nocturnal asthma and assess the degree of asthma control.
Objective. To evaluate the reliability of continuous monitoring of respiratory sounds in patients with varying degrees of asthma control and to assess the dynamics of wheezing.
Materials and Methods. Eighty-six patients with asthma were enrolled in the study. Patients were categorized into three groups: Group 1, well-controlled asthma; Group 2, partially controlled asthma; and Group 3, uncontrolled asthma. Spirometry was performed using a Vitalograph ALPHA spirometer (UK). Lung sounds were monitored using an electronic auscultation method developed in-house. The resulting audio files underwent computer-based analysis.
Results. Episodes of wheezing demonstrated a direct correlation with the degree of asthma control and the severity of asthma. In Group 3, the mean frequency of nocturnal episodes reached 3.3 ± 0.4 (p < 0.05). Monitoring revealed a strong positive correlation between the number of wheezing episodes and the degree of asthma control (r = 0.74, p < 0.05). A moderate positive correlation was observed between wheezing episode frequency and obstructive PFT abnormalities, as well as subjective symptom scores (r = 0.39, p < 0.05). A weak positive correlation was noted between the duration of wheezing episodes and the severity of PFT abnormalities (r = 0.23, p < 0.05).
Conclusion. Continuous lung sound monitoring is a reliable method for monitoring the course of asthma, enabling the registration and assessment of respiratory sound dynamics.
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About the authors
Sergei Ivanovich Glotov
Ryazan State Medical University
Email: sergeyglot@mail.ru
ORCID iD: 0000-0002-4445-4480
SPIN-code: 7524-9816
Scopus Author ID: 57203780371
ResearcherId: AAI-4243-2021
MD, Cand. Sci. (Medicine), Docent of the Department of Faculty Therapy named after Professor V.Ya. Garmash, Ryazan State Medical University, Russia, Ryazan
Russian Federation, 390026, Russia, Ryazan, Vysokovoltnaya str., 9Oleg Michailovich Uryasev
Ryazan State Medical University
Email: uryasev08@yandex.ru
ORCID iD: 0000-0001-8693-4696
SPIN-code: 7903-4609
MD, Dr. Sci.(Medicine), Professor, Head of the Department of Faculty Therapy named after Professor V.Ya. Garmash, Ryazan State Medical University, Russia, Ryazan
Russian Federation, 390026, Russia, Ryazan, Vysokovoltnaya str., 9Yuriy Yulevich Byalovskiy
Ryazan State Medical University
Email: b_uu@mail.ru
ORCID iD: 0000-0002-6769-8277
SPIN-code: 6389-6643
MD, Dr. Sci.(Medicine), Professor, Head of the Department of Pathophysiology, Ryazan Statе Mеdical Univеrsity, Ryazan, Russia
Russian Federation, 390026, Russia, Ryazan, Vysokovoltnaya str., 9Irina Borisovna Ponomareva
Ryazan State Medical University
Email: docib@yandex.ru
ORCID iD: 0000-0002-0273-4388
SPIN-code: 3984-1944
MD, Cand. Sci. (Medicine), Docent of the Department of Faculty Therapy named after Professor V.Ya. Garmash, Ryazan State Medical University, Russia, Ryazan
Russian Federation, 390026, Russia, Ryazan, Vysokovoltnaya str., 9Svetlana Vyacheslavovna Berstneva
Ryazan State Medical University
Author for correspondence.
Email: berst.ru@mail.ru
ORCID iD: 0000-0002-3141-4199
SPIN-code: 6722-3203
MD, Dr. Sci.(Medicine), Docent of the Department of Faculty Therapy named after Professor V.Ya. Garmash, Ryazan State Medical University, Russia, Ryazan
Russian Federation, 390026, Russia, Ryazan, Vysokovoltnaya str., 9Vadim Anatolevich Lunyakov
Ryazan State Medical University
Email: lunyakov62@mail.ru
ORCID iD: 0000-0002-3370-7593
SPIN-code: 9628-5750
MD, Cand. Sci. (Medicine), Docent of the Department of Faculty Therapy named after Professor V.Ya. Garmash, Ryazan State Medical University, Russia
Russian Federation, 390026, Russia, Ryazan, Vysokovoltnaya str., 9Nadezhda Petrovna Molotkova
Ryazan State Medical University
Email: nad.olo@yandex.ru
ORCID iD: 0009-0003-9519-0950
SPIN-code: 1373-2304
MD, assistant at the Department of Faculty Therapy named after Professor V.Ya. Garmash, Ryazan State Medical University, Russia
390026, Russia, Ryazan, Vysokovoltnaya str., 9References
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