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Prognostic Factors of Initial Chest Ct Findings for Icu Admission and Mortality in Patients With Covid-19 Pneumonia Publisher



Kazemi MA1, 2 ; Ghanaati H2 ; Moradi B2, 3 ; Chavoshi M4 ; Hashemi H2 ; Hemmati S1 ; Rouzrokh P5 ; Gity M2 ; Ahmadinejad Z6 ; Abdollahi H7
Authors
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Authors Affiliations
  1. 1. Department of Radiology, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Medical Imaging Center, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Radiology, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Radiology, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Department of Infectious Diseases, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran
  7. 7. Department of Anesthesiology, Amir Alam Hospital Complexes, Tehran University of Medical Sciences, Tehran, Iran

Source: Iranian Journal of Radiology Published:2020


Abstract

Background: Studies have shown that CT could be valuable for prognostic issues in COVID-19. Objectives: To investigate the prognostic factors of early chest CT findings in COVID-19 patients. Methods: This retrospective study included 91 patients (34 women, and 57 men) of real-time reverse transcription polymerase chain reaction (RT-PCR) positive COVID-19 from three hospitals in Iran between February 25, 2020, to March 15, 2020. Patients were divided into two groups as good prognosis, discharged from the hospital and alive without symptoms (48 patients), and poor prognosis, died or needed ICU care (43 patients). The first CT images of both groups that were obtained during the first 8 days of the disease presentation were evaluated considering the pattern, distribution, and underlying disease. The total CT-score was calculated for each patient. Univariate and multivariate analysis with IBM SPSS Statistics v.26 was used to find the prognostic factors. Results: There was a significant correlation between poor prognosis and older ages, dyspnea, presence of comorbidities, especially cardiovascular and comorbidities. Considering CT features, peripheral and diffuse distribution, anterior and paracardiac involve-ment, crazy paving pattern, and pleural effusion were correlated with poor prognosis. There was a correlation between total CT-score and prognosis and an 11.5 score was suggested as a cut-off with 67.4% sensitivity and 68.7% specificity in differentiation of poor prognosis patients (patients who needed ICU admission or died). Multivariate analysis revealed that a model consisting of age, male gender, underlying comorbidity, diffused lesions, total CT-score, and dyspnea would predict the prognosis better. Conclusions: Total chest CT-score and chest CT features can be used as prognostic factors in COVID-19 patients. A multidisciplinary approach would be more accurate in predicting the prognosis. © 2020, Author(s).
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