Lung Ultrasound, Clinical and Analytic Scoring Systems as Prognostic Tools in SARS-CoV-2 Pneumonia: A Validating Cohort

dc.contributor.authorGil-Rodriguez, Jaime
dc.contributor.authorMartos-Ruiz, Michel
dc.contributor.authorPeregrina-Rivas, Jose-Antonio
dc.contributor.authorAranda-Laserna, Pablo
dc.contributor.authorBenavente-Fernandez, Alberto
dc.contributor.authorMelchor, Juan
dc.contributor.authorGuirao-Arrabal, Emilio
dc.contributor.authoraffiliation[Gil-Rodriguez, Jaime] San Cecilio Univ Hosp, Internal Med Unit, Granada 18012, Spain
dc.contributor.authoraffiliation[Martos-Ruiz, Michel] San Cecilio Univ Hosp, Internal Med Unit, Granada 18012, Spain
dc.contributor.authoraffiliation[Aranda-Laserna, Pablo] San Cecilio Univ Hosp, Internal Med Unit, Granada 18012, Spain
dc.contributor.authoraffiliation[Benavente-Fernandez, Alberto] San Cecilio Univ Hosp, Internal Med Unit, Granada 18012, Spain
dc.contributor.authoraffiliation[Peregrina-Rivas, Jose-Antonio] San Cecilio Univ Hosp, Infect Dis Unit, Granada 18012, Spain
dc.contributor.authoraffiliation[Guirao-Arrabal, Emilio] San Cecilio Univ Hosp, Infect Dis Unit, Granada 18012, Spain
dc.contributor.authoraffiliation[Melchor, Juan] Univ Granada, Dept Stat & Operat Res, Granada 18011, Spain
dc.contributor.authoraffiliation[Melchor, Juan] Inst Invest Biosanitaria IBS, Biomech Grp TEC 12, Granada 18012, Spain
dc.contributor.authoraffiliation[Melchor, Juan] Univ Granada, Res Unit Modelling Nat MNat, Granada 18011, Spain
dc.date.accessioned2025-01-07T14:05:08Z
dc.date.available2025-01-07T14:05:08Z
dc.date.issued2021-12-01
dc.description.abstractAt the moment, several COVID-19 scoring systems have been developed. It is necessary to determine which one better predicts a poor outcome of the disease. We conducted a single-center prospective cohort study to validate four COVID-19 prognosis scores in adult patients with confirmed infection at ward. These are National Early Warning Score (NEWS) 2, Lung Ultrasound Score (LUS), COVID-19 Worsening Score (COWS), and Spanish Society of Infectious Diseases and Clinical Microbiology score (SEIMC Score). Our outcomes were the combined variable "poor outcome" (non-invasive mechanical ventilation, intubation, intensive care unit admission, and death at 28 days) and death at 28 days. Scores were analysed using univariate logistic regression models, receiver operating characteristic curves, and areas under the curve. Eighty-one patients were included, from which 21 had a poor outcome, and 9 died. We found a statistically significant correlation between poor outcome and NEWS2, LUS > 15, and COWS. Death at 28 days was statistically correlated with NEWS2 and SEIMC Score although COWS also performs well. NEWS2, LUS, and COWS accurately predict poor outcome; and NEWS2, SEIMC Score, and COWS are useful for anticipating death at 28 days. Lung ultrasound is a diagnostic tool that should be included in COVID-19 patients evaluation.
dc.identifier.doi10.3390/diagnostics11122211
dc.identifier.essn2075-4418
dc.identifier.pmid34943448
dc.identifier.unpaywallURLhttps://www.mdpi.com/2075-4418/11/12/2211/pdf?version=1638171755
dc.identifier.urihttps://hdl.handle.net/10668/26125
dc.identifier.wosID736509700001
dc.issue.number12
dc.journal.titleDiagnostics
dc.journal.titleabbreviationDiagnostics
dc.language.isoen
dc.organizationSAS - Hospital Universitario San Cecilio
dc.organizationSAS - Hospital Universitario San Cecilio
dc.organizationSAS - Hospital Universitario San Cecilio
dc.organizationInstituto de Investigación Biosanitaria de Granada (ibs.GRANADA)
dc.publisherMdpi
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSARS-CoV-2
dc.subjectCOVID-19
dc.subjectlung
dc.subjectultrasound
dc.subjectearly warning score
dc.subjectCovid-19
dc.subjectPrediction
dc.subjectDiagnosis
dc.subjectMortality
dc.titleLung Ultrasound, Clinical and Analytic Scoring Systems as Prognostic Tools in SARS-CoV-2 Pneumonia: A Validating Cohort
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number11
dc.wostypeArticle

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