Cited 2 times in
Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia
DC Field | Value | Language |
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dc.contributor.author | 정금지 | - |
dc.date.accessioned | 2022-05-09T16:44:58Z | - |
dc.date.available | 2022-05-09T16:44:58Z | - |
dc.date.issued | 2021-10 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/188170 | - |
dc.description.abstract | Objective: 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.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Public Library of Science | - |
dc.relation.isPartOf | PLOS ONE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Aged, 80 and over | - |
dc.subject.MESH | COVID-19* / diagnostic imaging | - |
dc.subject.MESH | COVID-19* / mortality | - |
dc.subject.MESH | Dyspnea* / diagnostic imaging | - |
dc.subject.MESH | Dyspnea* / mortality | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Intensive Care Units* | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | SARS-CoV-2* | - |
dc.subject.MESH | Tomography, X-Ray Computed* | - |
dc.title | Stratifying the early radiologic trajectory in dyspneic patients with COVID-19 pneumonia | - |
dc.type | Article | - |
dc.contributor.college | Graduate School of Public Health (보건대학원) | - |
dc.contributor.department | Graduate School of Public Health (보건대학원) | - |
dc.contributor.googleauthor | Jin Young Kim | - |
dc.contributor.googleauthor | Keum Ji Jung | - |
dc.contributor.googleauthor | Seung-Jin Yoo | - |
dc.contributor.googleauthor | Soon Ho Yoon | - |
dc.identifier.doi | 10.1371/journal.pone.0259010 | - |
dc.contributor.localId | A03580 | - |
dc.relation.journalcode | J02540 | - |
dc.identifier.eissn | 1932-6203 | - |
dc.identifier.pmid | 34679127 | - |
dc.contributor.alternativeName | Jung, Keum Ji | - |
dc.contributor.affiliatedAuthor | 정금지 | - |
dc.citation.volume | 16 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | e0259010 | - |
dc.identifier.bibliographicCitation | PLOS ONE, Vol.16(10) : e0259010, 2021-10 | - |
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