Association of High-Risk Obstructive Sleep Apnea with Artificial Intelligence-Guided, CT-Based Severity Scores in Patients with COVID-19 Pneumonia

{ 'indexed': { 'date-parts': [[2024, 10, 29]], 'date-time': '2024-10-29T04:11:40Z', 'timestamp': 1730175100637, 'version': '3.28.0'}, 'reference-count': 37, 'publisher': 'MDPI AG', 'issue': '21', 'license': [ { 'start': { 'date-parts': [[2024, 10, 26]], 'date-time': '2024-10-26T00:00:00Z', 'timestamp': 1729900800000}, 'content-version': 'vor', 'delay-in-days': 0, 'URL': 'https://creativecommons.org/licenses/by/4.0/'}], 'funder': [ { 'DOI': '10.13039/100003305', 'name': 'ResMed Foundation', 'doi-asserted-by': 'publisher', 'award': ['N/A'], 'id': [{'id': '10.13039/100003305', 'id-type': 'DOI', 'asserted-by': 'publisher'}]}], 'content-domain': {'domain': [], 'crossmark-restriction': False}, 'abstract': '<jats:p>Background: We have previously demonstrated that high-risk obstructive sleep apnea ' '(HR-OSA), based on a modified Berlin Questionnaire (mBQ), is linked to worse clinical ' 'outcomes. Chest computed tomography (CT) imaging with the implementation of an artificial ' 'intelligence (AI) analysis program has been a valuable tool for the speedy assessment of huge ' 'numbers of patients during the COVID-19 epidemic. In the current study, we addressed how the ' 'severity of AI-guided, CT-based total opacity ratio (TOR) scores are associated with ' 'high-risk OSA and short-term outcomes in the same cohort. Methods: The ratio of the volume of ' 'high opacity areas to that of the total lung volume constituted the TOR. We arbitrarily ' 'applied thresholds of &lt;5 (no or mild TOR), ≥5 and &lt;15 (moderate TOR), and ≥15 (severe ' 'TOR). Results: In total, 221 patients were included. HR-OSA was observed among 11.0% of the ' 'no or mild TOR group, 22.2% of the moderate TOR group, and 38.7% of the severe TOR group (p ' '&lt; 0.001). In a logistic regression analysis, HR-OSA was associated with a severe TOR with ' 'an adjusted odds ratio of 3.06 (95% confidence interval [CI] 1.27–7.44; p = 0.01). A moderate ' 'TOR predicted clinical worsening with an adjusted hazard ratio (HR) of 1.93 (95% CI ' '1.00–3.72; p = 0.05) and a severe TOR predicted worsening with an HR of 3.06 (95% CI ' '1.56–5.99; p = 0.001). Conclusions: Our results offer additional radiological proof of the ' 'relationship between HR-OSA and worse outcomes in patients with COVID-19 pneumonia. A TOR may ' 'also potentially indicate the individuals that are at higher risk of HR-OSA, enabling early ' 'intervention and management strategies. The clinical significance of TOR thresholds needs ' 'further evaluation in larger samples.</jats:p>', 'DOI': '10.3390/jcm13216415', 'type': 'journal-article', 'created': { 'date-parts': [[2024, 10, 28]], 'date-time': '2024-10-28T11:47:18Z', 'timestamp': 1730116038000}, 'page': '6415', 'source': 'Crossref', 'is-referenced-by-count': 0, 'title': 'Association of High-Risk Obstructive Sleep Apnea with Artificial Intelligence-Guided, CT-Based ' 'Severity Scores in Patients with COVID-19 Pneumonia', 'prefix': '10.3390', 'volume': '13', 'author': [ { 'given': 'Zeynep', 'family': 'Atceken', 'sequence': 'first', 'affiliation': [ { 'name': 'Department of Radiology, Koc University School of Medicine, ' 'Istanbul 34010, Türkiye'}]}, { 'ORCID': 'http://orcid.org/0000-0002-4041-4529', 'authenticated-orcid': False, 'given': 'Yeliz', 'family': 'Celik', 'sequence': 'additional', 'affiliation': [ { 'name': 'Department of Pulmonary Medicine, Koc University School of ' 'Medicine, and Koc University Research Center for Translational ' 'Medicine (KUTTAM), Koc University, Istanbul 34010, Türkiye'}]}, { 'given': 'Cetin', 'family': 'Atasoy', 'sequence': 'additional', 'affiliation': [ { 'name': 'Department of Radiology, Koc University School of Medicine, ' 'Istanbul 34010, Türkiye'}]}, { 'ORCID': 'http://orcid.org/0000-0001-9067-6538', 'authenticated-orcid': False, 'given': 'Yüksel', 'family': 'Peker', 'sequence': 'additional', 'affiliation': [ { 'name': 'Department of Pulmonary Medicine, Koc University School of ' 'Medicine, and Koc University Research Center for Translational ' 'Medicine (KUTTAM), Koc University, Istanbul 34010, Türkiye'}, { 'name': 'Department of Molecular and Clinical Medicine, Sahlgrenska ' 'Academy, University of Gothenburg, 40530 Gothenburg, Sweden'}, { 'name': 'Department of Clinical Sciences, Respiratory Medicine and ' 'Allergology, Faculty of Medicine, Lund University, 22185 Lund, ' 'Sweden'}, { 'name': 'Division of Pulmonary, Allergy, and Critical Care Medicine, ' 'University of Pittsburgh School of Medicine, Pittsburgh, PA ' '15213, USA'}]}], 'member': '1968', 'published-online': {'date-parts': [[2024, 10, 26]]}, 'reference': [ { 'key': 'ref_1', 'unstructured': '(2024, May 26). 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