{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T14:46:28Z","timestamp":1787064388874,"version":"build-2736575974"},"reference-count":18,"publisher":"Consilium Medicum","issue":"8","license":[{"start":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:00:00Z","timestamp":1787011200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Terapevticheskii arkhiv"],"abstract":"<jats:p>Background. Identifying the character, frequency, and intensity of cough is crucial in clinical practice, aiding in differential diagnosis, influencing treatment choices. \u00abCoughScan\u00bb is a software with an embedded neural network model designed to assess cough frequency in real-time for diagnostic and monitoring purposes.\r\nAim. To obtain additional data on the efficacy and safety of Rengalin\u00ae in the treatment of cough in adults with acute respiratory viral infections (ARVI) using both traditional and new intelligent technologies.\r\nMaterials and methods. An observational study was conducted involving 60 patients with ARVI, receiving Rengalin\u00ae for cough management. Outpatient patients were divided into 2 groups: the main group (n=40) received Rengalin\u00ae for 7 days, while the control group (n=20) received no cough medication. The severity of symptoms of ARVI and cough was assessed with Cough severity scale (CSS), \u00abCoughScan\u00bb, Bronchitis Severity Scale (BSS).\r\nResults. The cough severity score on CSS decreased by 2.9 points in the Rengalin\u00ae group and by 1.5 points in the control group (p=0.0004). The average BSS score reduced by 1.3 units with Rengalin\u00ae and by 0.2 units in controls (p=0.0001). The mean duration of cough during treatment was 5.7\u00b10.2 days versus 7.2\u00b10.4 days without treatment (p=0.0178). Monitoring of daily cough intensity with \u00abCoughScan\u00bb also showed a statistically significant advantage in the Rengalin\u00ae group (p0.0001). A non-inferiority test based on the area under the curve (AUC) over 7 days indicated comparable results between \u00abCoughScan\u00bb and the CSS, with differences within 10%.\r\nConclusion. \u00abCoughScan\u00bb is a convenient and reliable tool for assessing cough dynamics in outpatient settings. Its data are comparable to the Cough severity scale regarding treatment efficacy, with antitussive activity of Rengalin\u00ae evident from the early days of therapy.<\/jats:p>","DOI":"10.26442\/00403660.2026.08.203763","type":"journal-article","created":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T13:57:05Z","timestamp":1787061425000},"page":"478-485","source":"Crossref","is-referenced-by-count":0,"title":["Advanced diagnostic capabilities for cough assessment utilizing the neural network model \u00abCoughScan\u00bb: findings from a prospective, comparative observational study"],"prefix":"10.26442","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1171-2746","authenticated-orcid":false,"given":"Andrey V.","family":"Budnevsky","sequence":"additional","affiliation":[{"name":"Burdenko Voronezh State Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5999-2150","authenticated-orcid":false,"given":"Sergey 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arkhiv"],"original-title":[],"link":[{"URL":"https:\/\/ter-arkhiv.ru\/0040-3660\/article\/viewFile\/713583\/226527","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ter-arkhiv.ru\/0040-3660\/article\/viewFile\/713583\/226527","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T13:57:13Z","timestamp":1787061433000},"score":1,"resource":{"primary":{"URL":"https:\/\/ter-arkhiv.ru\/0040-3660\/article\/view\/713583"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,18]]},"references-count":18,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2026,8,18]]}},"URL":"https:\/\/doi.org\/10.26442\/00403660.2026.08.203763","relation":{},"ISSN":["2309-5342","0040-3660"],"issn-type":[{"value":"2309-5342","type":"electronic"},{"value":"0040-3660","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8,18]]}}}