Tomographic score (RAD-Covid Score) to assess the clinical severity of the novel coronavirus infection

Autor: Ricardo Arroyo Rstom, Edivaldo Nery de Oliveira Filho, Paula Nicole Vieira Pinto Barbosa, Tatiana Figueiredo Guimarães Ribeiro, Silvio Fontana Velludo, Fabrício Próspero Machado, Marina Martini Costa, Maria Fernanda Arruda Almeida, Talita Rombaldi Pereira, André Santos Barros
Rok vydání: 2021
Předmět:
Microbiology (medical)
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19)
rt-PCR
real time polymerase chain reaction
Chest ct
Pulmonary disease
severity
chest CT
Infectious and parasitic diseases
RC109-216
macromolecular substances
GGO
ground-glass opacities
Microbiology
SARS-CoV-2
severe acute respiratory syndrome coronavirus 2
Severity of Illness Index
Severity
Cohen's kappa
Chest CT
Disease severity
Internal medicine
medicine
Humans
Clinical severity
Lung
Retrospective Studies
COPD
Covid-19
coronavirus disease 2019
business.industry
SARS-CoV-2
CKD
chronic kidney disease
COVID-19
medicine.disease
ICU
intensive care unit
QR1-502
infection
CT
computed tomography
Hospitalization
CI
confidence interval
Infectious Diseases
COPD
chronic obstructive pulmonary disease
MDCT
multidetector computed tomography
Radiological weapon
Original Article
business
Covid-19
Infection
Tomography
X-Ray Computed
hospitalization
Zdroj: The Brazilian Journal of Infectious Diseases
Brazilian Journal of Infectious Diseases, Volume: 25, Issue: 4, Article number: 101599, Published: 11 OCT 2021
Brazilian Journal of Infectious Diseases v.25 n.4 2021
Brazilian Journal of Infectious Diseases
Brazilian Society of Infectious Diseases (BSID)
instacron:BSID
Brazilian Journal of Infectious Diseases, Vol 25, Iss 4, Pp 101599-(2021)
ISSN: 1678-4391
Popis: Objectives The severity of pulmonary Covid-19 infection can be assessed by the pattern and extent of parenchymal involvement observed in computed tomography (CT), and it is important to standardize the analysis through objective, practical, and reproducible systems. We propose a method for stratifying the radiological severity of pulmonary disease, the Radiological Severity Score (RAD-Covid Score), in Covid-19 patients by quantifying infiltrate in chest CT, including assessment of its accuracy in predicting disease severity. Methods This retrospective, single-center study analyzed patients with a confirmed diagnosis of Covid-19 infection by real-time reverse-transcriptase polymerase chain reaction, who underwent chest CT at hospital admission between March 6 and April 6, 2020. CT scans were classified as positive, negative, or equivocal, and a radiological severity score (RAD-Covid Score) was assigned. Clinical severity was also assessed upon hospital admission. Results 658 patients were included. Agreement beyond chance (kappa statistic) for the RAD-Covid Score was almost perfect among observers (0.833), with an overall agreement of 89.5%. The RAD-Covid Score was positively correlated with clinical severity and death, i.e., the higher the RAD-Covid Score, the greater the clinical severity and mortality. This association proved independent of age and comorbidities. Accuracy of this score was 66.9%. Conclusions The RAD-Covid Score showed good accuracy in predicting clinical severity at hospital admission and mortality in patients with confirmed Covid-19 infection and was an independent predictor of severity.
Databáze: OpenAIRE
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