tetano
Editor, Senior Moderator
Respir Investig
. 2021 Mar 19;S2212-5345(21)00040-X.
doi: 10.1016/j.resinv.2021.02.008. Online ahead of print.
Chest CT severity score and radiological patterns as predictors of disease severity, ICU admission, and viral positivity in COVID-19 patients
Ioannis Bellos[SUP] 1 [/SUP], Kyriaki Tavernaraki[SUP] 2 [/SUP], Konstantinos Stefanidis[SUP] 3 [/SUP], Olympia Michalopoulou[SUP] 1 [/SUP], Giota Lourida[SUP] 1 [/SUP], Eleni Korompoki[SUP] 4 [/SUP], Ioanna Thanou[SUP] 5 [/SUP], Loukas Thanos[SUP] 5 [/SUP], Angelos Pefanis[SUP] 1 [/SUP], Aikaterini Argyraki[SUP] 1 [/SUP]
Affiliations
Abstract
Background: Chest computed tomography (CT) is a useful tool for the diagnosis of coronavirus disease-2019 (COVID-19), although its exact value for predicting critical illness remains unclear. This study evaluated the efficacy of chest CT to predict disease progression, pulmonary complications, and viral positivity duration.
Methods: A single-center cohort study was conducted by consecutively including hospitalized patients with confirmed COVID-19. The chest CT patterns were described and a total severity score was calculated. The predictive accuracy of the severity score was evaluated using the receiver operating characteristic analysis, while a Cox proportional hazards regression model was implemented to identify the radiological features that are linked to prolonged duration of viral positivity.
Results: Overall, 42 patients were included with 10 of them requiring intensive care unit admission. The most common lesions were ground glass opacities (92.9%), consolidation (66.7%), and crazy-paving patterns (61.9%). The total severity score significantly correlated with inflammatory and respiratory distress markers, as well as with admission CURB-65 and PSI/PORT scores. It was estimated to predict critical illness with a sensitivity and specificity of 75% and 70%, respectively. Time-to-event analysis indicated that patients without ground-glass opacities presented significantly shorter median viral positivity (16 vs. 27 days).
Conclusions: Chest CT severity score positively correlates with markers of COVID-19 severity and presents promising efficacy in predicting critical illness. It is suggested that ground-glass opacities are linked to prolonged viral positivity. Further studies should confirm the efficacy of the severity score and elucidate the long-term pulmonary effects of COVID-19.
Keywords: COVID-19; Chest; Computed tomography; Critical illness; Predict.
. 2021 Mar 19;S2212-5345(21)00040-X.
doi: 10.1016/j.resinv.2021.02.008. Online ahead of print.
Chest CT severity score and radiological patterns as predictors of disease severity, ICU admission, and viral positivity in COVID-19 patients
Ioannis Bellos[SUP] 1 [/SUP], Kyriaki Tavernaraki[SUP] 2 [/SUP], Konstantinos Stefanidis[SUP] 3 [/SUP], Olympia Michalopoulou[SUP] 1 [/SUP], Giota Lourida[SUP] 1 [/SUP], Eleni Korompoki[SUP] 4 [/SUP], Ioanna Thanou[SUP] 5 [/SUP], Loukas Thanos[SUP] 5 [/SUP], Angelos Pefanis[SUP] 1 [/SUP], Aikaterini Argyraki[SUP] 1 [/SUP]
Affiliations
- PMID: 33820751
- DOI: 10.1016/j.resinv.2021.02.008
Abstract
Background: Chest computed tomography (CT) is a useful tool for the diagnosis of coronavirus disease-2019 (COVID-19), although its exact value for predicting critical illness remains unclear. This study evaluated the efficacy of chest CT to predict disease progression, pulmonary complications, and viral positivity duration.
Methods: A single-center cohort study was conducted by consecutively including hospitalized patients with confirmed COVID-19. The chest CT patterns were described and a total severity score was calculated. The predictive accuracy of the severity score was evaluated using the receiver operating characteristic analysis, while a Cox proportional hazards regression model was implemented to identify the radiological features that are linked to prolonged duration of viral positivity.
Results: Overall, 42 patients were included with 10 of them requiring intensive care unit admission. The most common lesions were ground glass opacities (92.9%), consolidation (66.7%), and crazy-paving patterns (61.9%). The total severity score significantly correlated with inflammatory and respiratory distress markers, as well as with admission CURB-65 and PSI/PORT scores. It was estimated to predict critical illness with a sensitivity and specificity of 75% and 70%, respectively. Time-to-event analysis indicated that patients without ground-glass opacities presented significantly shorter median viral positivity (16 vs. 27 days).
Conclusions: Chest CT severity score positively correlates with markers of COVID-19 severity and presents promising efficacy in predicting critical illness. It is suggested that ground-glass opacities are linked to prolonged viral positivity. Further studies should confirm the efficacy of the severity score and elucidate the long-term pulmonary effects of COVID-19.
Keywords: COVID-19; Chest; Computed tomography; Critical illness; Predict.