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Predictors of the Chest Ct Score in Covid-19 Patients: A Cross-Sectional Study Publisher



Yazdi NA1 ; Ghadery AH2 ; Seyedalinaghi SA3 ; Jafari F4 ; Jafari S4 ; Hasannezad M4 ; Koochak HE4 ; Salehi M4 ; Manshadi SAD4 ; Meidani M4 ; Hajiabdolbaghi M4 ; Ahmadinejad Z4 ; Khalili H5 ; Mehrabinejad MM2 Show All Authors
Authors
  1. Yazdi NA1
  2. Ghadery AH2
  3. Seyedalinaghi SA3
  4. Jafari F4
  5. Jafari S4
  6. Hasannezad M4
  7. Koochak HE4
  8. Salehi M4
  9. Manshadi SAD4
  10. Meidani M4
  11. Hajiabdolbaghi M4
  12. Ahmadinejad Z4
  13. Khalili H5
  14. Mehrabinejad MM2
  15. Abbasian L4
Show Affiliations
Authors Affiliations
  1. 1. Department of Radiology, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center(ADIR), Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Iranian Research Center for HIV/AIDS, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Infectious Diseases, Imam Khomeini Hospital, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Blv. Keshavarz, Tehran, Iran
  5. 5. Department of Pharmacotherapy, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran

Source: Virology Journal Published:2021


Abstract

Background: Since the COVID-19 outbreak, pulmonary involvement was one of the most significant concerns in assessing patients. In the current study, we evaluated patient’s signs, symptoms, and laboratory data on the first visit to predict the severity of pulmonary involvement and their outcome regarding their initial findings. Methods: All referred patients to the COVID-19 clinic of a tertiary referral university hospital were evaluated from April to August 2020. Four hundred seventy-eight COVID-19 patients with positive real-time reverse-transcriptase-polymerase chain reaction (RT-PCR) or highly suggestive symptoms with computed tomography (CT) imaging results with typical findings of COVID-19 were enrolled in the study. The clinical features, initial laboratory, CT findings, and short-term outcomes (ICU admission, mortality, length of hospitalization, and recovery time) were recorded. In addition, the severity of pulmonary involvement was assessed using a semi-quantitative scoring system (0–25). Results: Among 478 participants in this study, 353 (73.6%) were admitted to the hospital, and 42 (8.7%) patients were admitted to the ICU. Myalgia (60.4%), fever (59.4%), and dyspnea (57.9%) were the most common symptoms of participants at the first visit. A review of chest CT scans showed that Ground Glass Opacity (GGO) (58.5%) and consolidation (20.7%) were the most patterns of lung lesions. Among initial clinical and laboratory findings, anosmia (P = 0.01), respiratory rate (RR) with a cut point of 25 (P = 0.001), C-reactive protein (CRP) with a cut point of 90 (P = 0.002), white Blood Cell (WBC) with a cut point of 10,000 (P = 0.009), and SpO2 with a cut point of 93 (P = 0.04) was associated with higher chest CT score. Lung involvement and consolidation lesions on chest CT scans were also associated with a more extended hospitalization and recovery period. Conclusions: Initial assessment of COVID-19 patients, including symptoms, vital signs, and routine laboratory tests, can predict the severity of lung involvement and unfavorable outcomes. © 2021, The Author(s).
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