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Covid Visual Assessment Scale ("Co.V.A.Sc."): quantification of COVID-19 disease extent on admission chest computed tomography (CT) in the prediction of clinical outcome-a retrospective analysis of 273 patients.
Arkoudis, Nikolaos-Achilleas; Karofylakis, Emmanouil; Moschovaki-Zeiger, Ornella; Vrentzos, Emmanouil; Palialexis, Konstantinos; Filippiadis, Dimitrios; Oikonomopoulos, Nikolaos; Kelekis, Nikolaos; Spiliopoulos, Stavros.
  • Arkoudis NA; 2nd Department of Radiology, University General Hospital of Athens "Attikon", Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece. nick.arkoudis@gmail.com.
  • Karofylakis E; 4th Department of Internal Medicine, University General Hospital of Athens "Attikon", National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece.
  • Moschovaki-Zeiger O; 2nd Department of Radiology, University General Hospital of Athens "Attikon", Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece.
  • Vrentzos E; 4th Department of Internal Medicine, University General Hospital of Athens "Attikon", National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece.
  • Palialexis K; 2nd Department of Radiology, University General Hospital of Athens "Attikon", Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece.
  • Filippiadis D; 2nd Department of Radiology, Interventional Radiology Unit, University General Hospital of Athens "Attikon", Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece.
  • Oikonomopoulos N; 2nd Department of Radiology, University General Hospital of Athens "Attikon", Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece.
  • Kelekis N; 2nd Department of Radiology, Interventional Radiology Unit, University General Hospital of Athens "Attikon", Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece.
  • Spiliopoulos S; 2nd Department of Radiology, University General Hospital of Athens "Attikon", Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari, 124 62, Athens, Greece.
Emerg Radiol ; 29(3): 479-489, 2022 Jun.
Article in English | MEDLINE | ID: covidwho-1729321
ABSTRACT

BACKGROUND:

Admission chest CT is often included in COVID-19 patient management.

PURPOSE:

To evaluate the inter- and intraobserver variability of the Covid Visual Assessment Scale ("Co.V.A.Sc.") used for stratifying chest CT disease extent and to estimate its prospect to predict clinical outcomes. MATERIALS AND

METHODS:

This single-center, retrospective observational cohort study included all RT-PCR-confirmed COVID-19 adult patients undergoing admission chest CT, between 01/03/2021 and 17/03/2021. CTs were independently evaluated by two radiologists according to the "Co.V.A.Sc." (0 0%, 1 1-10%, 2 11-25%, 3 26-50%, 4 51-75%, 5 > 75%). Patient demographics, laboratory, clinical, and hospitalization data were retrieved and analyzed in relation to the "Co.V.A.Sc."

RESULTS:

Overall, 273 patients (mean age 60.7 ± 14.8 years; 50.9% male) were evaluated. Excellent inter- and intraobserver variability was noted between the two independent radiologists' "Co.V.A.Sc." EVALUATIONS "Co.V.A.Sc." classification (Exp(B) 0.391, 95%CI 0.212-0.719; p = 0.025) and patient age (Exp(B) 0.947, 95%CI 0.902-0.993; p = 0.25) were the only variables correlated with ICU admission, while age (Exp(B) 1.111, p = 0.0001), "Co.V.A.Sc." (Exp(B) 2.408; p = 0.002), and male gender (Exp(B) 3.213; p = 0.028) were correlated with in-hospital mortality. Specifically, for each "Co.V.A.Sc." unit increase, the probability of ICU admission increased by 1.47 times, and the probability of death increased by 11.1 times. According to ROC analysis, "Co.V.A.Sc." could predict ICU admission and in-hospital death with an optimal cutoff value of unit 3 (sensitivity 56.0%, specificity 84.3%) and unit 4 (sensitivity 41.9%, specificity 93.6%), respectively.

CONCLUSION:

"Co.V.A.Sc." upon hospital admittance seems to predict ICU admission and in-hospital death and could aid in optimizing risk-stratification and patient management.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Emerg Radiol Year: 2022 Document Type: Article Affiliation country: S10140-022-02034-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Emerg Radiol Year: 2022 Document Type: Article Affiliation country: S10140-022-02034-4