Point-of-care Lung Ultrasound, Lung CT and NEWS to Predict Adverse Outcomes and Mortality in COVID-19 Associated Pneumonia

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dc.authoridBARDAKCI, OKAN/0000-0001-6829-7435
dc.contributor.authorBardakci, Okan
dc.contributor.authorDas, Murat
dc.contributor.authorAkdur, Gokhan
dc.contributor.authorAkman, Canan
dc.contributor.authorSiddikoglu, Duygu
dc.contributor.authorSimsek, Guven
dc.contributor.authorKaya, Feyyaz
dc.date.accessioned2025-01-27T21:03:57Z
dc.date.available2025-01-27T21:03:57Z
dc.date.issued2022
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractIntroduction: The appraisal of disease severity and prediction of adverse outcomes using risk stratification tools at early disease stages is crucial to diminish mortality from coronavirus disease 2019 (COVID-19). While lung ultrasound (LUS) as an imaging technique for the diagnosis of lung diseases has recently gained a leading position, data demonstrating that it can predict adverse outcomes related to COVID-19 is scarce. The main aim of this study is therefore to assess the clinical significance of bedside LUS in COVID-19 patients who presented to the emergency department (ED). Methods: Patients with a confirmed diagnosis of SARS-CoV-2 pneumonia admitted to the ED of our hospital between March 2021 and May 2021 and who underwent a 12-zone LUS and a lung computed tomography scan were included prospectively. Logistic regression and Cox proportional hazard models were used to predict adverse events, which was our primary outcome. The secondary outcome was to discover the association of LUS score and computed tomography severity score (CT-SS) with the composite endpoints. Results: We assessed 234 patients [median age 59.0 (46.8-68.0) years; 59.4% M), including 38 (16.2%) in-hospital deaths for any cause related to COVID-19. Higher LUS score and CT-SS was found to be associated with ICU admission, intubation, and mortality. The LUS score predicted mortality risk within each stratum of NEWS. Pairwise analysis demonstrated that after adjusting a base prediction model with LUS score, significantly higher accuracy was observed in predicting both ICU admission (DBA -0.067, P = .011) and in-hospital mortality (DBA -0.086, P = .017). Conclusion: Lung ultrasound can be a practical prediction tool during the course of COVID-19 and can quantify pulmonary involvement in ED settings. It is a powerful predictor of ICU admission, intubation, and mortality and can be used as an alternative for chest computed tomography while monitoring COVID-19-related adverse outcomes.
dc.identifier.doi10.1177/08850666221111731
dc.identifier.issn0885-0666
dc.identifier.issn1525-1489
dc.identifier.pmid36317355
dc.identifier.scopus2-s2.0-85141113813
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1177/08850666221111731
dc.identifier.urihttps://hdl.handle.net/20.500.12428/27505
dc.identifier.wosWOS:000877850300001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSage Publications Inc
dc.relation.ispartofJournal of Intensive Care Medicine
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectCOVID-19
dc.subjectpneumonia
dc.subjectlung ultrasound (LUS) score
dc.subjectcomputed tomography severity score (CT-SS)
dc.subjectmortality
dc.subjectemergency medicine
dc.titlePoint-of-care Lung Ultrasound, Lung CT and NEWS to Predict Adverse Outcomes and Mortality in COVID-19 Associated Pneumonia
dc.typeArticle

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