Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China.

Open Forum Infectious Diseases
Songlin SongFan Yang

Abstract

Chest computed tomography (CT) has been widely used to assess pulmonary involvement in COVID-19. We aimed to investigate the correlation between chest CT and clinical features in COVID-19 suspected patients with or without fever. We retrospectively enrolled 211 COVID-19 suspected patients who underwent both chest CT and reverse transcription polymerase chain reaction in Wuhan, China. The performance of CT in patients with relevant onset of symptoms, with fever (n = 141) and without fever (n = 70), was assessed respectively. The sensitivity of CT for COVID-19 was 97.3%, with area under the curve (AUC) of 0.71 (95% confidence interval [CI], 0.66-0.76). There were 141 suspected patients with fever and 70 without fever. In the fever group, 4 variables were screened to establish the basic model: age, monocyte, red blood cell, and hypertension. The AUC of the basic model was 0.72 (95% CI, 0.63-0.81), while the AUC of the CT-aided model was 0.77 (95% CI, 0.68-0.85), a significant difference (P < .05). In the nonfever group, only dry cough was screened out to establish the basic model. The AUC was 0.76 (95% CI, 0.64-0.88), which was not significantly different than the CT-aided model (P = .08). Chest CT has a high sensitivity in patien...Continue Reading

References

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Jan 25, 2020·The New England Journal of Medicine·Na ZhuUNKNOWN China Novel Coronavirus Investigating and Research Team
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Feb 29, 2020·The New England Journal of Medicine·Wei-Jie GuanUNKNOWN China Medical Treatment Expert Group for Covid-19

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Citations

Nov 27, 2020·The Cochrane Database of Systematic Reviews·Nayaar IslamUNKNOWN Cochrane COVID-19 Diagnostic Test Accuracy Group
Feb 3, 2021·Journal of Clinical Nursing·Gloria AndersonMaria Luisa Rega
Mar 17, 2021·The Cochrane Database of Systematic Reviews·Nayaar IslamUNKNOWN Cochrane COVID-19 Diagnostic Test Accuracy Group
Feb 10, 2021·Current Opinion in Pulmonary Medicine·Ariana AxiaqAmer Harky

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