About: Chest CT for triage during COVID-19 on the emergency department: myth or truth?

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Chest CT for triage during COVID-19 on the emergency department: myth or truth?
Creator	Ong, David Boxma-De Klerk, Bianca Brown, Vanessa Groen, Joost Hermans, Joep Van Werkhoven, Jacob Waals-Prinzen, Lenneke Zwets, Egon Hanselaar, E Wessel, &
Source	Medline; PMC
abstract	ABSTRACT: PURPOSE: We aimed to investigate the diagnostic performance of chest CT compared with first RT-PCR results in adult patients suspected of COVID-19 infection in an ED setting. We also constructed a predictive machine learning model based on chest CT and additional data to improve the diagnostic accuracy of chest CT. METHODS: This study’s cohort consisted of 319 patients who underwent chest CT and RT-PCR testing at the ED. Patient characteristics, demographics, symptoms, vital signs, laboratory tests, and chest CT results (CO-RADS) were collected. With first RT-PCR as reference standard, the diagnostic performance of chest CT using the CO-RADS score was assessed. Additionally, a predictive machine learning model was constructed using logistic regression. RESULTS: Chest CT, with first RT-PCR as a reference, had a sensitivity, specificity, PPV, and NPV of 90.2%, 88.2%, 84.5%, and 92.7%, respectively. The prediction model with CO-RADS, ferritin, leucocyte count, CK, days of complaints, and diarrhea as predictors had a sensitivity, specificity, PPV, and NPV of 89.3%, 93.4%, 90.8%, and 92.3%, respectively. CONCLUSION: Chest CT, using the CO-RADS scoring system, is a sensitive and specific method that can aid in the diagnosis of COVID-19, especially if RT-PCR tests are scarce during an outbreak. Combining a predictive machine learning model could further improve the accuracy of diagnostic chest CT for COVID-19. Further candidate predictors should be analyzed to improve our model. However, RT-PCR should remain the primary standard of testing as up to 9% of RT-PCR positive patients are not diagnosed by chest CT or our machine learning model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10140-020-01821-1) contains supplementary material, which is available to authorized users.
has issue date	2020-07-20(xsd:dateTime)
bibo:doi	10.1007/s10140-020-01821-1
bibo:pmid	32691211
has license	no-cc
sha1sum (hex)	cd36779d7d28af9481aea5c8c5b4089bed74e190
schema:url	https://doi.org/10.1007/s10140-020-01821-1
resource representing a document's title	Chest CT for triage during COVID-19 on the emergency department: myth or truth?
has PubMed Central identifier	PMC7369539
has PubMed identifier	32691211
schema:publication	Emerg Radiol
resource representing a document's body	covid:cd36779d7d28af9481aea5c8c5b4089bed74e190#body_text
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