SNORING SOUND DIAGNOSTICS FOR CARDIOVASCULAR RISK ASSESSMENT AND REHABILITATION: EXPERIENCE WITH A MOBILE APPLICATION
DOI:
https://doi.org/10.67034/2786-8354.2026.20.2.18Keywords:
snoring, snoring sound, SnoreLab, CT, 3D technologies, obstructive sleep apnea syndrome, polysomnographyAbstract
Introduction. Snoring is a common symptom of sleep-disordered breathing and an important risk factor for cardiovascular, metabolic, and psychological disorders. Modern digital technologies, particularly mobile applications, offer new opportunities for screening, monitoring, and evaluating the effectiveness of treatment and rehabilitation interventions for patients with snoring and obstructive sleep apnea syndrome (OSAS).
Objective. To evaluate the potential of the SnoreLab mobile application for snoring assessment, cardiovascular risk evaluation, and monitoring the effectiveness of rehabilitation interventions.
Materials and Methods. A clinical case of a male patient born in 1987, presenting with severe snoring, sleep apnea episodes, daytime sleepiness, and elevated blood pressure, is described. The comprehensive assessment included medical history collection, ENT endoscopic examination, anthropometric measurements, snoring monitoring using the SnoreLab mobile application, 3D computed tomography (CT) of the paranasal sinuses, and polysomnography. Treatment effectiveness was evaluated by comparing SnoreLab parameters and clinical indicators before and after a comprehensive rehabilitation program.
Results. The patient was diagnosed with class III obesity (body weight 135 kg, BMI 41.7 kg/m²), arterial hypertension, and severe obstructive sleep apnea syndrome, based on polysomnography findings (apnea-hypopnea index [AHI] 87.5 events/hour). Data from the SnoreLab mobile application showed a baseline Snore Score of 107 points, indicating severe snoring and a high risk of sleep-disordered breathing. Snoring accounted for 63% of total sleep time, with a predominance of loud, very intense ("epic") episodes. Endoscopic examination and three-dimensional computed tomography (3D-CT) of the upper airway revealed nasal septal deviation, a bony spur, and hypertrophic mucosal changes, which could contribute to upper airway obstruction.
After a comprehensive treatment and rehabilitation program, a positive clinical response was observed. The Snore Score decreased from 107 to 56 points (a 47.7% reduction), and the proportion of sleep time spent snoring fell from 63% to 37%. The proportion of snore-free sleep increased from 37.6% to 62.8%, while the proportion of very intense ("epic") snoring decreased from 24.3% to 10.8%. In addition, the patient achieved a 5-kg weight loss, normalized blood pressure to 127/84 mmHg, improved sleep quality, reduced daytime sleepiness, and increased daily activity levels. These findings demonstrate the usefulness of the mobile application for dynamic patient monitoring and objective assessment of rehabilitation outcomes.
Conclusions. The SnoreLab mobile application is an effective tool for objectively assessing snoring and for monitoring treatment and rehabilitation outcomes. A comprehensive evaluation of patients with snoring should include clinical examination, modern imaging techniques, and polysomnography. Early detection and management of sleep-disordered breathing contribute to improved cardiovascular health, reduced cardiometabolic risk, and enhanced quality of life.
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