Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study.

<h4>Background</h4>COVID-19 prognostic factors include age, sex, comorbidities, laboratory and imaging findings, and time from symptom onset to seeking care.<h4>Purpose</h4>The study aim was to evaluate indices combining disease severity measures and time from disease onset t...

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Published in:PLoS ONE
Main Authors: Giulia Besutti, Olivera Djuric, Marta Ottone, Filippo Monelli, Patrizia Lazzari, Francesco Ascari, Guido Ligabue, Giovanni Guaraldi, Giuseppe Pezzuto, Petra Bechtold, Marco Massari, Ivana Lattuada, Francesco Luppi, Maria Giulia Galli, Pierpaolo Pattacini, Paolo Giorgi Rossi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Online Access:https://doi.org/10.1371/journal.pone.0270111
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author Giulia Besutti
Olivera Djuric
Marta Ottone
Filippo Monelli
Patrizia Lazzari
Francesco Ascari
Guido Ligabue
Giovanni Guaraldi
Giuseppe Pezzuto
Petra Bechtold
Marco Massari
Ivana Lattuada
Francesco Luppi
Maria Giulia Galli
Pierpaolo Pattacini
Paolo Giorgi Rossi
author_facet Giulia Besutti
Olivera Djuric
Marta Ottone
Filippo Monelli
Patrizia Lazzari
Francesco Ascari
Guido Ligabue
Giovanni Guaraldi
Giuseppe Pezzuto
Petra Bechtold
Marco Massari
Ivana Lattuada
Francesco Luppi
Maria Giulia Galli
Pierpaolo Pattacini
Paolo Giorgi Rossi
author_sort Giulia Besutti
collection DOAJ
container_title PLoS ONE
description <h4>Background</h4>COVID-19 prognostic factors include age, sex, comorbidities, laboratory and imaging findings, and time from symptom onset to seeking care.<h4>Purpose</h4>The study aim was to evaluate indices combining disease severity measures and time from disease onset to predict mortality of COVID-19 patients admitted to the emergency department (ED).<h4>Materials and methods</h4>All consecutive COVID-19 patients who underwent both computed tomography (CT) and chest X-ray (CXR) at ED presentation between 27/02/2020 and 13/03/2020 were included. CT visual score of disease extension and CXR Radiographic Assessment of Lung Edema (RALE) score were collected. The CT- and CXR-based scores, C-reactive protein (CRP), and oxygen saturation levels (sO2) were separately combined with time from symptom onset to ED presentation to obtain severity/time indices. Multivariable regression age- and sex-adjusted models without and with severity/time indices were compared. For CXR-RALE, the models were tested in a validation cohort.<h4>Results</h4>Of the 308 included patients, 55 (17.9%) died. In multivariable logistic age- and sex-adjusted models for death at 30 days, severity/time indices showed good discrimination ability, higher for imaging than for laboratory measures (AUCCT = 0.92, AUCCXR = 0.90, AUCCRP = 0.88, AUCsO2 = 0.88). AUCCXR was lower in the validation cohort (0.79). The models including severity/time indices performed slightly better than models including measures of disease severity not combined with time and those including the Charlson Comorbidity Index, except for CRP-based models.<h4>Conclusion</h4>Time from symptom onset to ED admission is a strong prognostic factor and provides added value to the interpretation of imaging and laboratory findings at ED presentation.
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spelling doaj-art-4ee5f9f0dc3f48fdabeb818ef3bf3dac2025-08-19T21:06:24ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01176e027011110.1371/journal.pone.0270111Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study.Giulia BesuttiOlivera DjuricMarta OttoneFilippo MonelliPatrizia LazzariFrancesco AscariGuido LigabueGiovanni GuaraldiGiuseppe PezzutoPetra BechtoldMarco MassariIvana LattuadaFrancesco LuppiMaria Giulia GalliPierpaolo PattaciniPaolo Giorgi Rossi<h4>Background</h4>COVID-19 prognostic factors include age, sex, comorbidities, laboratory and imaging findings, and time from symptom onset to seeking care.<h4>Purpose</h4>The study aim was to evaluate indices combining disease severity measures and time from disease onset to predict mortality of COVID-19 patients admitted to the emergency department (ED).<h4>Materials and methods</h4>All consecutive COVID-19 patients who underwent both computed tomography (CT) and chest X-ray (CXR) at ED presentation between 27/02/2020 and 13/03/2020 were included. CT visual score of disease extension and CXR Radiographic Assessment of Lung Edema (RALE) score were collected. The CT- and CXR-based scores, C-reactive protein (CRP), and oxygen saturation levels (sO2) were separately combined with time from symptom onset to ED presentation to obtain severity/time indices. Multivariable regression age- and sex-adjusted models without and with severity/time indices were compared. For CXR-RALE, the models were tested in a validation cohort.<h4>Results</h4>Of the 308 included patients, 55 (17.9%) died. In multivariable logistic age- and sex-adjusted models for death at 30 days, severity/time indices showed good discrimination ability, higher for imaging than for laboratory measures (AUCCT = 0.92, AUCCXR = 0.90, AUCCRP = 0.88, AUCsO2 = 0.88). AUCCXR was lower in the validation cohort (0.79). The models including severity/time indices performed slightly better than models including measures of disease severity not combined with time and those including the Charlson Comorbidity Index, except for CRP-based models.<h4>Conclusion</h4>Time from symptom onset to ED admission is a strong prognostic factor and provides added value to the interpretation of imaging and laboratory findings at ED presentation.https://doi.org/10.1371/journal.pone.0270111
spellingShingle Giulia Besutti
Olivera Djuric
Marta Ottone
Filippo Monelli
Patrizia Lazzari
Francesco Ascari
Guido Ligabue
Giovanni Guaraldi
Giuseppe Pezzuto
Petra Bechtold
Marco Massari
Ivana Lattuada
Francesco Luppi
Maria Giulia Galli
Pierpaolo Pattacini
Paolo Giorgi Rossi
Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study.
title Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study.
title_full Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study.
title_fullStr Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study.
title_full_unstemmed Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study.
title_short Imaging-based indices combining disease severity and time from disease onset to predict COVID-19 mortality: A cohort study.
title_sort imaging based indices combining disease severity and time from disease onset to predict covid 19 mortality a cohort study
url https://doi.org/10.1371/journal.pone.0270111
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