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CT lung lesions as predictors of early death or ICU admission in COVID-19 patients.
Ruch, Yvon; Kaeuffer, Charlotte; Ohana, Mickael; Labani, Aissam; Fabacher, Thibaut; Bilbault, Pascal; Kepka, Sabrina; Solis, Morgane; Greigert, Valentin; Lefebvre, Nicolas; Hansmann, Yves; Danion, François.
  • Ruch Y; Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France. Electronic address: yvon.ruch@chru-strasbourg.fr.
  • Kaeuffer C; Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France.
  • Ohana M; Department of Radiology, Strasbourg University Hospital, Strasbourg, France.
  • Labani A; Department of Radiology, Strasbourg University Hospital, Strasbourg, France.
  • Fabacher T; Department of Biostatistics, Strasbourg University Hospital, Strasbourg, France.
  • Bilbault P; Department of Emergency Medicine, Strasbourg University Hospital, Strasbourg, France.
  • Kepka S; Department of Emergency Medicine, Strasbourg University Hospital, Strasbourg, France.
  • Solis M; Department of Virology, Strasbourg University Hospital, Strasbourg, France.
  • Greigert V; Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France.
  • Lefebvre N; Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France.
  • Hansmann Y; Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France.
  • Danion F; Department of Infectious Disease, Strasbourg University Hospital, Strasbourg, France.
Clin Microbiol Infect ; 26(10): 1417.e5-1417.e8, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-671474
ABSTRACT

OBJECTIVE:

The main objective of this study was to investigate the prognostic value of early systematic chest computed tomography (CT) with quantification of lung lesions in coronavirus disease 2019 (COVID-19) patients.

METHODS:

We studied 572 patients diagnosed with COVID-19 (confirmed using polymerase chain reaction) for whom a chest CT was performed at hospital admission. Visual quantification was used to classify patients as per the percentage of lung parenchyma affected by COVID-19 lesions normal CT, 0-10%, 11-25%, 26-50%, 51-75% and >75%. The primary endpoint was severe disease, defined by death or admission to the intensive care unit in the 7 days following first admission.

RESULTS:

The mean patient age was 66.0 ± 16.0 years, and 343/572 (60.0%) were men. The primary endpoint occurred in 206/572 patients (36.0%). The extent of lesions on initial CT was independently associated with prognosis (odds ratio = 2.35, 95% confidence interval 1.24-4.46; p < 0.01). Most patients with lung involvement >50% (66/95, 69.5%) developed severe disease compared to patients with lung involvement of 26-50% (70/171, 40.9%) and ≤25% (70/306, 22.9%) (p < 0.01 and p < 0.01, respectively). None of the patients with normal CT (0/14) had severe disease.

CONCLUSION:

Chest CT findings at admission are associated with outcome in COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Betacoronavirus / Lung Type of study: Diagnostic study / Observational study / Prognostic study / Systematic review/Meta Analysis Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Clin Microbiol Infect Journal subject: Communicable Diseases / Microbiology Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Betacoronavirus / Lung Type of study: Diagnostic study / Observational study / Prognostic study / Systematic review/Meta Analysis Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Clin Microbiol Infect Journal subject: Communicable Diseases / Microbiology Year: 2020 Document Type: Article