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Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia

DC Field Value Language
dc.contributor.author정금지-
dc.date.accessioned2022-05-09T16:44:58Z-
dc.date.available2022-05-09T16:44:58Z-
dc.date.issued2021-10-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/188170-
dc.description.abstractObjective: This study aimed to stratify the early pneumonia trajectory on chest radiographs and compare patient characteristics in dyspneic patients with coronavirus disease 2019 (COVID-19). Materials and methods: We retrospectively included 139 COVID-19 patients with dyspnea (87 men, 62.7±16.3 years) and serial chest radiographs from January to September 2020. Radiographic pneumonia extent was quantified as a percentage using a previously-developed deep learning algorithm. A group-based trajectory model was used to categorize the pneumonia trajectory after symptom onset during hospitalization. Clinical findings, and outcomes were compared, and Cox regression was performed for survival analysis. Results: Radiographic pneumonia trajectories were categorized into four groups. Group 1 (n = 83, 59.7%) had negligible pneumonia, and group 2 (n = 29, 20.9%) had mild pneumonia. Group 3 (n = 13, 9.4%) and group 4 (n = 14, 10.1%) showed similar considerable pneumonia extents at baseline, but group 3 had decreasing pneumonia extent at 1-2 weeks, while group 4 had increasing pneumonia extent. Intensive care unit admission and mortality were significantly more frequent in groups 3 and 4 than in groups 1 and 2 (P < .05). Groups 3 and 4 shared similar clinical and laboratory findings, but thrombocytopenia (<150×103/μL) was exclusively observed in group 4 (P = .016). When compared to groups 1 and 2, group 4 (hazard ratio, 63.3; 95% confidence interval, 7.9-504.9) had a two-fold higher risk for mortality than group 3 (hazard ratio, 31.2; 95% confidence interval, 3.5-280.2), and this elevated risk was maintained after adjusting confounders. Conclusion: Monitoring the early radiologic trajectory beyond baseline further prognosticated at-risk COVID-19 patients, who potentially had thrombo-inflammatory responses.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherPublic Library of Science-
dc.relation.isPartOfPLOS ONE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHCOVID-19* / diagnostic imaging-
dc.subject.MESHCOVID-19* / mortality-
dc.subject.MESHDyspnea* / diagnostic imaging-
dc.subject.MESHDyspnea* / mortality-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHIntensive Care Units*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHRisk Factors-
dc.subject.MESHSARS-CoV-2*-
dc.subject.MESHTomography, X-Ray Computed*-
dc.titleStratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia-
dc.typeArticle-
dc.contributor.collegeGraduate School of Public Health (보건대학원)-
dc.contributor.departmentGraduate School of Public Health (보건대학원)-
dc.contributor.googleauthorJin Young Kim-
dc.contributor.googleauthorKeum Ji Jung-
dc.contributor.googleauthorSeung-Jin Yoo-
dc.contributor.googleauthorSoon Ho Yoon-
dc.identifier.doi10.1371/journal.pone.0259010-
dc.contributor.localIdA03580-
dc.relation.journalcodeJ02540-
dc.identifier.eissn1932-6203-
dc.identifier.pmid34679127-
dc.contributor.alternativeNameJung, Keum Ji-
dc.contributor.affiliatedAuthor정금지-
dc.citation.volume16-
dc.citation.number10-
dc.citation.startPagee0259010-
dc.identifier.bibliographicCitationPLOS ONE, Vol.16(10) : e0259010, 2021-10-
Appears in Collections:
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers

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