{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T12:34:58Z","timestamp":1753878898402,"version":"3.41.2"},"reference-count":21,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T00:00:00Z","timestamp":1726444800000},"content-version":"vor","delay-in-days":15,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Influenza Resp Viruses"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>There is still a lack of clinical evidence comprehensively evaluating the effectiveness of antiviral treatments for COVID\u201019 hospitalized patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A retrospective cohort study was conducted at Beijing You'An Hospital, focusing on patients treated with nirmatrelvir\/ritonavir or azvudine. The study employed a tripartite analysis\u2014viral dynamics, survival curve analysis, and AI\u2010based radiological analysis of pulmonary CT images\u2014aiming to assess the severity of pneumonia.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of 370 patients treated with either nirmatrelvir\/ritonavir or azvudine as monotherapy, those in the nirmatrelvir\/ritonavir group experienced faster viral clearance than those treated with azvudine (5.4\u2009days vs. 8.4\u2009days, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001). No significant differences were observed in the survival curves between the two drug groups. AI\u2010based radiological analysis revealed that patients in the nirmatrelvir group had more severe pneumonia conditions (infection ratio is 11.1 vs. 5.35, <jats:italic>p<\/jats:italic>\u2009=\u20090.007). Patients with an infection ratio higher than 9.2 had nearly three times the mortality rate compared to those with an infection ratio lower than 9.2.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our study suggests that in real\u2010world studies regarding hospitalized patients with COVID\u201019 pneumonia, the antiviral effect of nirmatrelvir\/ritonavir is significantly superior to azvudine, but the choice of antiviral agents is not necessarily linked to clinical outcomes; the severity of pneumonia at admission is the most important factor to determine prognosis. Additionally, our findings indicate that pulmonary AI imaging analysis can be a powerful tool for predicting patient prognosis and guiding clinical decision\u2010making.<\/jats:p><\/jats:sec>","DOI":"10.1111\/irv.70006","type":"journal-article","created":{"date-parts":[[2024,9,17]],"date-time":"2024-09-17T18:10:05Z","timestamp":1726596605000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Antiviral Effectiveness, Clinical Outcomes, and Artificial Intelligence Imaging Analysis for Hospitalized COVID\u201019 Patients Receiving Antivirals"],"prefix":"10.1111","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0670-9104","authenticated-orcid":false,"given":"Yuan","family":"Gao","sequence":"first","affiliation":[{"name":"Fourth Department of Liver Disease Center, Beijing You'An Hospital Capital Medical University  Beijing 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